diff --git a/pvdeg/data/albedo.json b/pvdeg/data/albedo.json index 1b8593a7b..f1dab956f 100644 --- a/pvdeg/data/albedo.json +++ b/pvdeg/data/albedo.json @@ -1,709 +1,711 @@ -{ - "A000": { - "comments": "The wavelength is in units of [nm] and the albedo is in units of [%]. For consistency, the data should contain wavelengths from at least 280 nm to 400 nm." - }, - "A001": { - "data_entry_person": "Michael Kempe", - "date_entered": "7/28/2025", - "DOI": "10.3390/ijerph15071507", - "source_title": "Ultraviolet Radiation Albedo and Reflectance in Review: The Influence to Ultraviolet Exposure in Occupational Settings", - "authors": "Joanna Turner, Alfio V. Parisi", - "reference": "Turner J, Parisi AV. Ultraviolet Radiation Albedo and Reflectance in Review: The Influence to Ultraviolet Exposure in Occupational Settings. Int J Environ Res Public Health. 2018 Jul 17;15(7):1507.", - "keywords": "snow, 2-cm", - "comments": "Data is emperically extrapolated from 280 nm to 290 nm. Data extracted from Turner et al. Figure 1 as a reference to Feister & Grewe Snow-2cm depth. Feister U., Grewe R. Spectral Albedo Measurements in the UV and Visible Region over Different Types of Surfaces. Photochem. Photobiol. 1995;62:736-744. doi: 10.1111/j.1751-1097.1995.tb08723.x.", - "wavelength_minimum": 289.64676, - "wavelength_maximum": 400.03653, - "wavelength": "280, 289.64676, 295.34714, 300.64557, 305.76126, 311.1693, 314.31183, 316.4677, 319.71985, 321.9123, 324.799, 326.62607, 329.8782, 335.14008, 340.43848, 342.5944, 345.77344, 347.7832, 350.99878, 353.11813, 356.18756, 358.30695, 361.486, 366.78442, 368.8307, 372.19244, 374.20218, 377.30817, 379.46408, 382.5335, 384.8721, 387.79538, 390.09744, 393.13034, 395.39584, 398.53836, 400.03653", - "albedo": "60.5, 61.39394, 61.878788, 62.21212, 62.515152, 62.78788, 62.969696, 63, 63.121212, 63.21212, 63.545456, 63.81818, 63.909092, 64.181816, 64.454544, 64.757576, 65, 65.27273, 65.57576, 65.72727, 65.818184, 65.878784, 66.06061, 66.30303, 66.36364, 66.51515, 66.606064, 66.72727, 66.818184, 66.84849, 66.84849, 66.84849, 66.878784, 66.90909, 66.93939, 67.121216, 67.181816" - }, - "A002": { - "data_entry_person": "Michael Kempe", - "date_entered": "7/28/2025", - "DOI": "10.3390/ijerph15071507", - "source_title": "Ultraviolet Radiation Albedo and Reflectance in Review: The Influence to Ultraviolet Exposure in Occupational Settings", - "authors": "Joanna Turner, Alfio V. Parisi", - "reference": "Turner J, Parisi AV. Ultraviolet Radiation Albedo and Reflectance in Review: The Influence to Ultraviolet Exposure in Occupational Settings. Int J Environ Res Public Health. 2018 Jul 17;15(7):1507.", - "keywords": "snow, ground", - "comments": "Data is emperically extrapolated from 280 nm to 297 nm. Data extracted from Turner et al. Figure 1 as a reference to Doda & Green Snow-Ground. Doda D., Green A. Surface Reflectance Measurements in the UV from an Airborne Platform. Part 1. Appl. Opt. 1980;19:2140-2145. doi: 10.1364/AO.19.002140. Doda D., Green A. Surface Reflectance Measurements in the Ultraviolet from an Airborne Platform. Part 2. Appl. Opt. 1981;20:636-642. doi: 10.1364/AO.20.000636.", - "wavelength_minimum": 297.32034, - "wavelength_maximum": 400.14615, - "wavelength": "280, 297.32034, 300.02435, 301.8514, 305.79782, 310.10962, 313.21558, 317.4543, 322.86237, 329.9513, 331.19366, 339.89038, 343.06943, 350.34103, 360.02435, 369.96347, 380.3776, 386.77222, 390.0609, 400.14615", - "albedo": "20, 29.515152, 28.30303, 29.454546, 28.90909, 34.696968, 36.757576, 39.363636, 39.21212, 38.60606, 41.272728, 40.909092, 42.242424, 42.21212, 40.575756, 43.21212, 43.090908, 43.454544, 43.60606, 39.757576" - }, - "A003": { - "data_entry_person": "Michael Kempe", - "date_entered": "7/28/2025", - "DOI": "10.3390/ijerph15071507", - "source_title": "Ultraviolet Radiation Albedo and Reflectance in Review: The Influence to Ultraviolet Exposure in Occupational Settings", - "authors": "Joanna Turner, Alfio V. Parisi", - "reference": "Turner J, Parisi AV. Ultraviolet Radiation Albedo and Reflectance in Review: The Influence to Ultraviolet Exposure in Occupational Settings. Int J Environ Res Public Health. 2018 Jul 17;15(7):1507.", - "keywords": "snow, 1000ft", - "comments": "Data is emperically extrapolated from 280 nm to 297 nm. Data extracted from Turner et al. Figure 1 as a reference to Doda & Green Snow-1000ft. Doda D., Green A. Surface Reflectance Measurements in the UV from an Airborne Platform. Part 1. Appl. Opt. 1980;19:2140-2145. doi: 10.1364/AO.19.002140. Doda D., Green A. Surface Reflectance Measurements in the Ultraviolet from an Airborne Platform. Part 2. Appl. Opt. 1981;20:636-642. doi: 10.1364/AO.20.000636.", - "wavelength_minimum": 297.4665, - "wavelength_maximum": 400, - "wavelength": "280, 297.4665, 299.73203, 299.8051, 301.96103, 303.5323, 305.5055, 306.63824, 308.0268, 308.9403, 309.96347, 310.95007, 313.32523, 315.84653, 318.22168, 321.1084, 323.59317, 326.1145, 328.34348, 329.9513, 331.04752, 338.1364, 340.0731, 342.92328, 343.98294, 347.56393, 349.68332, 352.42386, 354.76248, 359.6224, 362.3995, 364.92084, 367.296, 369.85385, 372.7771, 375.40805, 377.30817, 379.68332, 382.60657, 385.01828, 387.79538, 390.28015, 392.98416, 396.19977, 398.0268, 399.1961, 400", - "albedo": "22, 31.90909, 27.878788, 27.151516, 26.30303, 28, 29.787878, 31.545454, 33.696968, 35.151516, 36.757576, 36.363636, 36.18182, 36.878788, 37.21212, 36.575756, 36.090908, 35.484848, 35.18182, 34.696968, 38.333332, 41.060608, 41.81818, 42.757576, 42.78788, 40.878788, 40.060608, 39.151516, 38.39394, 36.878788, 37.545456, 38, 38.81818, 39.303032, 40.242424, 41, 41.636364, 42.303032, 42.060608, 41.939392, 41.484848, 41.272728, 40.666668, 40.030304, 39.636364, 39.848484, 40.121212" - }, - "A004": { - "data_entry_person": "Michael Kempe", - "date_entered": "7/28/2025", - "DOI": "10.3390/ijerph15071507", - "source_title": "Ultraviolet Radiation Albedo and Reflectance in Review: The Influence to Ultraviolet Exposure in Occupational Settings", - "authors": "Joanna Turner, Alfio V. Parisi", - "reference": "Turner J, Parisi AV. Ultraviolet Radiation Albedo and Reflectance in Review: The Influence to Ultraviolet Exposure in Occupational Settings. Int J Environ Res Public Health. 2018 Jul 17;15(7):1507.", - "keywords": "green, grass, 850ft", - "comments": "Data is emperically extrapolated from 280 nm to 305 nm. Data extracted from Turner et al. Figure 1 as a reference to Doda & Green Grass-850ft. Doda D., Green A. Surface Reflectance Measurements in the UV from an Airborne Platform. Part 1. Appl. Opt. 1980;19:2140-2145. doi: 10.1364/AO.19.002140. Doda D., Green A. Surface Reflectance Measurements in the Ultraviolet from an Airborne Platform. Part 2. Appl. Opt. 1981;20:636-642. doi: 10.1364/AO.20.000636.", - "wavelength_minimum": 305.97562, - "wavelength_maximum": 400.14633, - "wavelength": "280, 305.97562, 310.18292, 312.67075, 320.2805, 329.97562, 331.36584, 340.07318, 349.95123, 370.14633, 380.17075, 391.36584, 400.14633", - "albedo": "4.8, 4.495134, 3.9111922, 4.178832, 4.233577, 4.6958637, 4.0997567, 4.294404, 3.8199513, 3.7226276, 4.470803, 4.1058393, 3.9476886" - }, - "A005": { - "data_entry_person": "Michael Kempe", - "date_entered": "7/28/2025", - "DOI": "10.3390/ijerph15071507", - "source_title": "Ultraviolet Radiation Albedo and Reflectance in Review: The Influence to Ultraviolet Exposure in Occupational Settings", - "authors": "Joanna Turner, Alfio V. Parisi", - "reference": "Turner J, Parisi AV. Ultraviolet Radiation Albedo and Reflectance in Review: The Influence to Ultraviolet Exposure in Occupational Settings. Int J Environ Res Public Health. 2018 Jul 17;15(7):1507.", - "keywords": "grass, lawn", - "comments": "Data is emperically extrapolated from 280 nm to 290 nm. Data extracted from Turner et al. Figure 1 as a reference to Feister & Grewe Grass-Lawn. Feister U., Grewe R. Spectral Albedo Measurements in the UV and Visible Region over Different Types of Surfaces. Photochem. Photobiol. 1995;62:736-744. doi: 10.1111/j.1751-1097.1995.tb08723.x.", - "wavelength_minimum": 289.84146, - "wavelength_maximum": 400.2927, - "wavelength": "280, 289.84146, 293.2805, 297.30487, 300.81708, 305.86584, 308.4634, 310.9878, 313.43903, 317.86584, 322.9878, 329.42682, 334.10974, 337.5122, 342.56097, 349.91464, 352.9878, 358.2927, 363.85367, 370.95123, 375.52438, 382.40244, 387.9634, 392.57318, 400.2927", - "albedo": "1.9, 2.0742092, 2.1532848, 2.2201946, 2.3053527, 2.3600974, 2.3722627, 2.408759, 2.4574208, 2.5547445, 2.6216545, 2.6885645, 2.7554746, 2.83455, 2.9318736, 3.096107, 3.1265206, 3.163017, 3.2360098, 3.296837, 3.4002433, 3.5279806, 3.6374695, 3.7287104, 3.892944" - }, - "A006": { - "data_entry_person": "Michael Kempe", - "date_entered": "7/28/2025", - "DOI": "10.3390/ijerph15071507", - "source_title": "Ultraviolet Radiation Albedo and Reflectance in Review: The Influence to Ultraviolet Exposure in Occupational Settings", - "authors": "Joanna Turner, Alfio V. Parisi", - "reference": "Turner J, Parisi AV. Ultraviolet Radiation Albedo and Reflectance in Review: The Influence to Ultraviolet Exposure in Occupational Settings. Int J Environ Res Public Health. 2018 Jul 17;15(7):1507.", - "keywords": "grass", - "comments": "Data is emperically extrapolated from 280 nm to 300 nm. Data extracted from Turner et al. Figure 1 as a reference to Diffey et al Grass. Diffey B., Green A.T., Loftus M.J., Johnson G.J., Lee P.S. A Portable Instrument for Measuring Ground Reflectance in the Ultraviolet. Photochem. Photobiol. 1995;61:68-70. doi: 10.1111/j.1751-1097.1995.tb09244.x.", - "wavelength_minimum": 299.97562, - "wavelength_maximum": 400.2195, - "wavelength": "280, 299.97562, 308.4634, 313.87805, 319.10974, 324.34146, 329.5366, 334.84146, 340.18292, 345.41464, 349.73172, 350.60974, 353.2073, 355.84146, 358, 360.92682, 364.2927, 366.34146, 370.58536, 375.37805, 380.35367, 385.76828, 391.2195, 396.59756, 400.2195", - "albedo": "1.5, 1.9647202, 2.1532848, 2.256691, 2.3600974, 2.4635036, 2.4939172, 2.481752, 2.4878345, 2.4695864, 2.481752, 2.4878345, 2.5364964, 2.6034064, 2.6520681, 2.6946473, 2.7858882, 2.8223844, 2.919708, 3.0048661, 3.1021898, 3.2116787, 3.3150852, 3.4124088, 3.5036497" - }, - "A007": { - "data_entry_person": "Michael Kempe", - "date_entered": "7/28/2025", - "DOI": "10.3390/ijerph15071507", - "source_title": "Ultraviolet Radiation Albedo and Reflectance in Review: The Influence to Ultraviolet Exposure in Occupational Settings", - "authors": "Joanna Turner, Alfio V. Parisi", - "reference": "Turner J, Parisi AV. Ultraviolet Radiation Albedo and Reflectance in Review: The Influence to Ultraviolet Exposure in Occupational Settings. Int J Environ Res Public Health. 2018 Jul 17;15(7):1507.", - "keywords": "grass", - "comments": "Data is emperically extrapolated from 280 nm to 290 nm. Data extracted from Turner et al. Figure 1 as a reference to Feister & Grewe Grass-Grass. Feister U., Grewe R. Spectral Albedo Measurements in the UV and Visible Region over Different Types of Surfaces. Photochem. Photobiol. 1995;62:736-744. doi: 10.1111/j.1751-1097.1995.tb08723.x.", - "wavelength_minimum": 299.97562, - "wavelength_maximum": 400.2195, - "wavelength": "280, 299.97562, 308.4634, 313.87805, 319.10974, 324.34146, 329.5366, 334.84146, 340.18292, 345.41464, 349.73172, 350.60974, 353.2073, 355.84146, 358, 360.92682, 364.2927, 366.34146, 370.58536, 375.37805, 380.35367, 385.76828, 391.2195, 396.59756, 400.2195", - "albedo": "1.5, 1.9647202, 2.1532848, 2.256691, 2.3600974, 2.4635036, 2.4939172, 2.481752, 2.4878345, 2.4695864, 2.481752, 2.4878345, 2.5364964, 2.6034064, 2.6520681, 2.6946473, 2.7858882, 2.8223844, 2.919708, 3.0048661, 3.1021898, 3.2116787, 3.3150852, 3.4124088, 3.5036497" - }, - "A008": { - "data_entry_person": "Michael Kempe", - "date_entered": "7/28/2025", - "DOI": "10.3390/ijerph15071507", - "source_title": "Ultraviolet Radiation Albedo and Reflectance in Review: The Influence to Ultraviolet Exposure in Occupational Settings", - "authors": "Joanna Turner, Alfio V. Parisi", - "reference": "Turner J, Parisi AV. Ultraviolet Radiation Albedo and Reflectance in Review: The Influence to Ultraviolet Exposure in Occupational Settings. Int J Environ Res Public Health. 2018 Jul 17;15(7):1507.", - "keywords": "grass", - "comments": "Data is emperically extrapolated from 280 nm to 299.8 nm. Data extracted from Turner et al. Figure 1 as a reference to McKenzie et al Grass. McKenzie R.L., Kotkamp M., Ireland W. Upwelling UV Spectral Irradiances and Surface Albedo Measurements at Lauder, New Zealand. Geophys. Res. Lett. 1996;23:1757-1760. doi: 10.1029/96GL01668.", - "wavelength_minimum": 299.7561, - "wavelength_maximum": 400.2195, - "wavelength": "280, 299.7561, 310.91464, 318.26828, 327.04877, 339.52438, 348.19513, 356.86584, 362.2805, 369.34146, 376.40244, 381.4878, 386.82925, 391.95123, 396.15854, 398.93903, 400.2195", - "albedo": "1, 1.082725, 1.1435523, 1.1557177, 1.1982968, 1.283455, 1.2773722, 1.3199513, 1.3564477, 1.3868613, 1.4294404, 1.5085158, 1.6301703, 1.7457421, 1.8613138, 1.9586375, 2.013382" - }, - "A009": { - "data_entry_person": "Michael Kempe", - "date_entered": "7/28/2025", - "DOI": "10.3390/ijerph15071507", - "source_title": "Ultraviolet Radiation Albedo and Reflectance in Review: The Influence to Ultraviolet Exposure in Occupational Settings", - "authors": "Joanna Turner, Alfio V. Parisi", - "reference": "Turner J, Parisi AV. Ultraviolet Radiation Albedo and Reflectance in Review: The Influence to Ultraviolet Exposure in Occupational Settings. Int J Environ Res Public Health. 2018 Jul 17;15(7):1507.", - "keywords": "grass", - "comments": "Data is emperically extrapolated from 280 nm to 304 nm. Data extracted from Turner et al. Figure 1 as a reference to Webb et al Grass. Webb A., Stromberg I., Li H., Bartlett L. Airborne Spectral Measurements of Surface Reflectivity at Ultraviolet and Visible Wavelengths. J. Geophys. Res. 2000;105:4945-4948. doi: 10.1029/1999JD900813.", - "wavelength_minimum": 304.95123, - "wavelength_maximum": 400.14633, - "wavelength": "280, 304.95123, 314.82925, 339.0122, 370.47562, 376.69513, 385.9878, 389.4634, 392.7195, 394.87805, 400.14633", - "albedo": "0, 0, 0.99148417, 0.973236, 0.97931874, 1.0097324, 1.4111922, 1.459854, 1.5510949, 1.5815085, 1.5997567" - }, - "A010": { - "data_entry_person": "Michael Kempe", - "date_entered": "7/28/2025", - "DOI": "10.3390/ijerph15071507", - "source_title": "Ultraviolet Radiation Albedo and Reflectance in Review: The Influence to Ultraviolet Exposure in Occupational Settings", - "authors": "Joanna Turner, Alfio V. Parisi", - "reference": "Turner J, Parisi AV. Ultraviolet Radiation Albedo and Reflectance in Review: The Influence to Ultraviolet Exposure in Occupational Settings. Int J Environ Res Public Health. 2018 Jul 17;15(7):1507.", - "keywords": "gypsum A", - "comments": "Data is emperically extrapolated from 280 nm to 298 nm and from 390 nm to 400 nm. Data is emperically extrapolated from 280 nm to 297 nm. Data extracted from Turner et al. Figure 1 as a reference to Doda & Green Soil-Gypsum A. Doda D., Green A. Surface Reflectance Measurements in the UV from an Airborne Platform. Part 1. Appl. Opt. 1980;19:2140-2145. doi: 10.1364/AO.19.002140. Doda D., Green A. Surface Reflectance Measurements in the Ultraviolet from an Airborne Platform. Part 2. Appl. Opt. 1981;20:636-642. doi: 10.1364/AO.20.000636.", - "wavelength_minimum": 297.58365, - "wavelength_maximum": 390.03717, - "wavelength": "280, 297.58365, 300.2974, 301.74722, 303.829, 305.94797, 309.8513, 312.41635, 314.31226, 317.24908, 319.96283, 323.7918, 327.10037, 329.96283, 331.26395, 338.28998, 340.81784, 343.27136, 345.79926, 348.1041, 350.855, 352.9368, 354.64685, 357.99255, 362.23047, 366.69144, 371.52417, 375.1673, 379.10782, 383.27136, 390.03717, 400", - "albedo": "5, 16.73913, 19.782608, 21.89441, 23.043478, 24.099379, 27.142857, 27.298136, 28.757765, 31.086956, 30.093168, 33.757763, 36.801243, 39.53416, 39.09938, 43.1677, 44.47205, 45.714287, 47.080746, 48.447205, 49.93789, 50.31056, 50.93168, 51.614906, 52.236023, 52.857143, 53.54037, 53.78882, 53.975155, 54.037266, 54.347828, 58.63354" - }, - "A011": { - "data_entry_person": "Michael Kempe", - "date_entered": "7/28/2025", - "DOI": "10.3390/ijerph15071507", - "source_title": "Ultraviolet Radiation Albedo and Reflectance in Review: The Influence to Ultraviolet Exposure in Occupational Settings", - "authors": "Joanna Turner, Alfio V. Parisi", - "reference": "Turner J, Parisi AV. Ultraviolet Radiation Albedo and Reflectance in Review: The Influence to Ultraviolet Exposure in Occupational Settings. Int J Environ Res Public Health. 2018 Jul 17;15(7):1507.", - "keywords": "gypsum B", - "comments": "Data is emperically extrapolated from 280 nm to 298 nm and from 396 nm to 400 nm. Data extracted from Turner et al. Figure 1 as a reference to Doda & Green Soil-Gypsum B. Doda D., Green A. Surface Reflectance Measurements in the UV from an Airborne Platform. Part 1. Appl. Opt. 1980;19:2140-2145. doi: 10.1364/AO.19.002140. Doda D., Green A. Surface Reflectance Measurements in the Ultraviolet from an Airborne Platform. Part 2. Appl. Opt. 1981;20:636-642. doi: 10.1364/AO.20.000636.", - "wavelength_minimum": 297.43494, - "wavelength_maximum": 396.2082, - "wavelength": "280, 297.43494, 300.2974, 301.11523, 301.63568, 302.71375, 304.8327, 305.79926, 307.4721, 309.18216, 309.8885, 312.00745, 313.86618, 315.98514, 317.62082, 320.03717, 320.4461, 322.71375, 325.09293, 327.43494, 329.92566, 332.0818, 334.75836, 336.95166, 339.66544, 341.85873, 344.2751, 346.35687, 348.8476, 351.1896, 353.75464, 356.05948, 358.58737, 360.92938, 363.94052, 366.28253, 369.07062, 371.56134, 374.31226, 376.50558, 379.4052, 381.52417, 384.31226, 386.50558, 391.41263, 396.2082, 400", - "albedo": "5, 16.490683, 18.229815, 19.906832, 21.273293, 21.645964, 22.142857, 22.173914, 23.32298, 24.658384, 25.093168, 24.93789, 26.149069, 27.701864, 28.881989, 28.819876, 29.037268, 29.968945, 31.0559, 31.987577, 32.95031, 32.919254, 33.757763, 34.47205, 35.31056, 36.273293, 37.48447, 38.54037, 39.720497, 40.652172, 41.335403, 41.95652, 42.701862, 43.074535, 43.10559, 43.35404, 43.35404, 43.913044, 44.68944, 45.186337, 45.93168, 46.708073, 47.670807, 48.41615, 50.15528, 52.04969, 53.726707" - }, - "A012": { - "data_entry_person": "Michael Kempe", - "date_entered": "7/28/2025", - "DOI": "10.3390/ijerph15071507", - "source_title": "Ultraviolet Radiation Albedo and Reflectance in Review: The Influence to Ultraviolet Exposure in Occupational Settings", - "authors": "Joanna Turner, Alfio V. Parisi", - "reference": "Turner J, Parisi AV. Ultraviolet Radiation Albedo and Reflectance in Review: The Influence to Ultraviolet Exposure in Occupational Settings. Int J Environ Res Public Health. 2018 Jul 17;15(7):1507.", - "keywords": "soil", - "comments": "Data is emperically extrapolated from 280 nm to 290 nm and from 397 to 400 nm. Data extracted from Turner et al. Figure 1 as a reference to Feister & Grewe Soil. Feister U., Grewe R. Spectral Albedo Measurements in the UV and Visible Region over Different Types of Surfaces. Photochem. Photobiol. 1995;62:736-744. doi: 10.1111/j.1751-1097.1995.tb08723.x.", - "wavelength_minimum": 289.81412, - "wavelength_maximum": 397.28625, - "wavelength": "280, 289.81412, 295.7621, 302.71375, 306.3197, 310.22305, 312.89963, 317.73233, 321.97025, 326.65427, 331.44983, 336.80298, 341.82156, 346.50558, 350.855, 355.35315, 360.78067, 365.2788, 370.26022, 375.20447, 378.8104, 382.78812, 386.4312, 389.4052, 392.26767, 394.8699, 397.28625, 400", - "albedo": "11.3, 12.57764, 13.26087, 14.006211, 14.285714, 14.844721, 15.093167, 15.652174, 16.180124, 16.770185, 17.236025, 17.826086, 18.291925, 18.819876, 19.31677, 19.720497, 20, 20.434782, 20.838509, 21.490683, 21.987577, 22.236025, 22.546583, 22.826086, 23.074533, 23.41615, 23.509317, 23.850931" - }, - "A013": { - "data_entry_person": "Michael Kempe", - "date_entered": "7/28/2025", - "DOI": "10.3390/ijerph15071507", - "source_title": "Ultraviolet Radiation Albedo and Reflectance in Review: The Influence to Ultraviolet Exposure in Occupational Settings", - "authors": "Joanna Turner, Alfio V. Parisi", - "reference": "Turner J, Parisi AV. Ultraviolet Radiation Albedo and Reflectance in Review: The Influence to Ultraviolet Exposure in Occupational Settings. Int J Environ Res Public Health. 2018 Jul 17;15(7):1507.", - "keywords": "sand, coarse, yellow", - "comments": "Data is emperically extrapolated from 280 nm to 300 nm and from 398 nm to 400 nm. Data extracted from Turner et al. Figure 1 as a reference to Diffey et al Sand Coarse Yellow. Diffey B., Green A.T., Loftus M.J., Johnson G.J., Lee P.S. A Portable Instrument for Measuring Ground Reflectance in the Ultraviolet. Photochem. Photobiol. 1995;61:68-70. doi: 10.1111/j.1751-1097.1995.tb09244.x.", - "wavelength_minimum": 299.66544, - "wavelength_maximum": 397.99255, - "wavelength": "280, 299.66544, 308.25278, 313.60596, 315.98514, 318.8476, 321.1896, 324.05203, 329.4052, 334.64685, 340, 342.23047, 345.1673, 347.58365, 350.52045, 355.79926, 358.2156, 363.30856, 368.6617, 371.5985, 373.9777, 376.95166, 379.29367, 382.15613, 384.38663, 387.4721, 389.81412, 392.6394, 395.1301, 397.99255, 400", - "albedo": "8.3, 7.9813666, 7.826087, 7.6397514, 7.6086955, 7.6397514, 7.5155277, 7.4223604, 7.3602486, 7.3291926, 7.173913, 7.111801, 7.0496893, 6.9875774, 6.9875774, 7.111801, 7.142857, 7.173913, 7.2981367, 7.3913045, 7.4223604, 7.4223604, 7.5465837, 7.6086955, 7.6708074, 7.7018633, 7.732919, 7.795031, 7.919255, 7.888199, 7.919255" - }, - "A014": { - "data_entry_person": "Michael Kempe", - "date_entered": "7/28/2025", - "DOI": "10.3390/ijerph15071507", - "source_title": "Ultraviolet Radiation Albedo and Reflectance in Review: The Influence to Ultraviolet Exposure in Occupational Settings", - "authors": "Joanna Turner, Alfio V. Parisi", - "reference": "Turner J, Parisi AV. Ultraviolet Radiation Albedo and Reflectance in Review: The Influence to Ultraviolet Exposure in Occupational Settings. Int J Environ Res Public Health. 2018 Jul 17;15(7):1507.", - "keywords": "soil, dessert", - "comments": "Data is emperically extrapolated from 280 nm to 304 nm and from 395 to 400 nm. Data extracted from Turner et al. Figure 1 as a reference to Doda & Green Soil-desert. Doda D., Green A. Surface Reflectance Measurements in the UV from an Airborne Platform. Part 1. Appl. Opt. 1980;19:2140-2145. doi: 10.1364/AO.19.002140. Doda D., Green A. Surface Reflectance Measurements in the Ultraviolet from an Airborne Platform. Part 2. Appl. Opt. 1981;20:636-642. doi: 10.1364/AO.20.000636.", - "wavelength_minimum": 304.08923, - "wavelength_maximum": 395.1673, - "wavelength": "280, 304.08923, 307.1747, 309.21933, 311.0409, 313.5316, 316.39404, 319.92566, 321.67285, 323.19702, 325.05576, 326.95166, 330, 332.15613, 333.75464, 337.5093, 339.66544, 341.11523, 343.9777, 346.3197, 349.18216, 352.89963, 354.46097, 359.81412, 364.90707, 368.58737, 370.1487, 375.65054, 379.36804, 380.855, 384.5353, 388.32715, 389.77695, 393.3829, 395.1673, 400", - "albedo": "3.5, 4.068323, 3.9130435, 3.8198757, 3.9440994, 3.9751554, 4.409938, 4.409938, 4.4720497, 4.5341616, 4.689441, 4.720497, 4.8447204, 5.2173915, 5.3416147, 5.5279503, 5.652174, 5.4347825, 5.1242237, 5.1863356, 5.3726707, 5.5279503, 5.559006, 5.8074536, 5.7763977, 5.7763977, 5.8074536, 5.931677, 6.0248446, 6.0248446, 6.273292, 6.552795, 6.7080746, 6.9875774, 7.080745, 7.5155277" - }, - "A015": { - "data_entry_person": "Michael Kempe", - "date_entered": "7/28/2025", - "DOI": "10.3390/ijerph15071507", - "source_title": "Ultraviolet Radiation Albedo and Reflectance in Review: The Influence to Ultraviolet Exposure in Occupational Settings", - "authors": "Joanna Turner, Alfio V. Parisi", - "reference": "Turner J, Parisi AV. Ultraviolet Radiation Albedo and Reflectance in Review: The Influence to Ultraviolet Exposure in Occupational Settings. Int J Environ Res Public Health. 2018 Jul 17;15(7):1507.", - "keywords": "earth, loam", - "comments": "Data is emperically extrapolated from 280 nm to 290 nm and from 397 nm to 400 nm. Data extracted from Turner et al. Figure 1 as a reference to Feister & Grewe Earth-loam. Feister U., Grewe R. Spectral Albedo Measurements in the UV and Visible Region over Different Types of Surfaces. Photochem. Photobiol. 1995;62:736-744. doi: 10.1111/j.1751-1097.1995.tb08723.x.", - "wavelength_minimum": 289.77158, - "wavelength_maximum": 397.2916, - "wavelength": "280, 289.77158, 295.61307, 300.52426, 306.25385, 311.537, 317.37787, 323.70255, 328.31573, 332.2967, 335.2359, 339.21683, 344.3511, 349.07614, 353.87552, 358.8236, 364.92505, 370.69162, 375.82562, 382.89432, 387.99103, 392.86453, 397.2916, 400", - "albedo": "3.4, 3.8857703, 3.9855063, 4.1037335, 4.277807, 4.427052, 4.694074, 4.936363, 5.1413007, 5.259432, 5.346476, 5.4708033, 5.632424, 5.781611, 5.949393, 6.148169, 6.384239, 6.6202745, 6.856245, 7.141981, 7.402731, 7.651066, 7.8745713, 7.973892" - }, - "A016": { - "data_entry_person": "Michael Kempe", - "date_entered": "7/28/2025", - "DOI": "10.3390/ijerph15071507", - "source_title": "Ultraviolet Radiation Albedo and Reflectance in Review: The Influence to Ultraviolet Exposure in Occupational Settings", - "authors": "Joanna Turner, Alfio V. Parisi", - "reference": "Turner J, Parisi AV. Ultraviolet Radiation Albedo and Reflectance in Review: The Influence to Ultraviolet Exposure in Occupational Settings. Int J Environ Res Public Health. 2018 Jul 17;15(7):1507.", - "keywords": "dark, brown, soil", - "comments": "Data is emperically extrapolated from 280 nm to 290 nm and from 397 nm to 400 nm. Data extracted from Turner et al. Figure 1 as a reference to Diffey et al Earth-dark brown soil. Diffey B., Green A.T., Loftus M.J., Johnson G.J., Lee P.S. A Portable Instrument for Measuring Ground Reflectance in the Ultraviolet. Photochem. Photobiol. 1995;61:68-70. doi: 10.1111/j.1751-1097.1995.tb09244.x.", - "wavelength_minimum": 289.65994, - "wavelength_maximum": 397.37692, - "wavelength": "280, 289.65994, 295.9479, 302.86716, 303.76108, 305.84424, 307.9282, 312.02142, 313.9551, 317.67758, 321.13834, 322.92453, 325.60376, 329.4363, 334.3851, 336.98978, 339.89206, 342.23627, 345.06415, 347.66885, 350.4223, 352.80353, 355.55685, 357.52872, 360.57968, 363.14694, 365.677, 368.39307, 370.92303, 373.56476, 376.05753, 378.84808, 381.4153, 384.243, 386.2522, 389.41473, 391.16342, 394.6981, 397.37692, 400", - "albedo": "3.5, 3.8857589, 3.9979324, 4.444744, 4.2032003, 4.35831, 4.290372, 4.241228, 4.557413, 4.1426797, 4.0686874, 4.0255013, 3.988603, 3.988999, 4.0019016, 3.9959748, 4.00247, 3.9965165, 4.0030046, 3.9908817, 4.0035577, 4.047174, 4.090829, 4.1529903, 4.209068, 4.258899, 4.302531, 4.3585734, 4.4269886, 4.4706316, 4.532847, 4.5765057, 4.632533, 4.688587, 4.719774, 4.788254, 4.825609, 4.8879323, 4.9439707, 4.999998" - }, - "A017": { - "data_entry_person": "Michael Kempe", - "date_entered": "7/28/2025", - "DOI": "10.3390/ijerph15071507", - "source_title": "Ultraviolet Radiation Albedo and Reflectance in Review: The Influence to Ultraviolet Exposure in Occupational Settings", - "authors": "Joanna Turner, Alfio V. Parisi", - "reference": "Turner J, Parisi AV. Ultraviolet Radiation Albedo and Reflectance in Review: The Influence to Ultraviolet Exposure in Occupational Settings. Int J Environ Res Public Health. 2018 Jul 17;15(7):1507.", - "keywords": "snow", - "comments": "Data is emperically extrapolated from 280 nm to 309 nm. Data extracted from Turner et al. Figure 1 as a reference to Grenfell et al Snow. Grenfell T.C., Warren S.G., Mullen P.C. Reflection of Solar Radiation by the Antarctic Snow Surface at Ultraviolet, Visible and near-Infrared Wavelengths. J. Geophys. Res. 1994;99:18669-18684. doi: 10.1029/94JD01484.", - "wavelength_minimum": 309.52496, - "wavelength_maximum": 400.10962, - "wavelength": "280, 309.52496, 317.4543, 322.86237, 328.19733, 333.34958, 338.61145, 341.7174, 346.94275, 352.57004, 358.6358, 361.4129, 366.419, 370.10962, 374.7503, 377.12546, 380.81607, 384.17783, 386.40683, 389.29355, 391.44946, 393.05725, 395.90744, 398.35565, 400.10962", - "albedo": "96.9, 97.15151, 97.21212, 97.27273, 97.27273, 97.27273, 97.242424, 97.42424, 97.57576, 97.757576, 97.818184, 97.818184, 97.78788, 97.666664, 97.666664, 97.63636, 97.666664, 97.78788, 97.90909, 98, 98.06061, 98.06061, 98.06061, 98.030304, 97.969696" - }, - "A018": { - "data_entry_person": "Michael Kempe", - "date_entered": "7/28/2025", - "DOI": "10.3390/ijerph15071507", - "source_title": "Ultraviolet Radiation Albedo and Reflectance in Review: The Influence to Ultraviolet Exposure in Occupational Settings", - "authors": "Joanna Turner, Alfio V. Parisi", - "reference": "Turner J, Parisi AV. Ultraviolet Radiation Albedo and Reflectance in Review: The Influence to Ultraviolet Exposure in Occupational Settings. Int J Environ Res Public Health. 2018 Jul 17;15(7):1507.", - "keywords": "snow, 5cm depth", - "comments": "Data is emperically extrapolated from 280 nm to 290 nm. Data extracted from Turner et al. Figure 1 as a reference to Feister & Grewe Snow-5cm depth. Feister U., Grewe R. Spectral Albedo Measurements in the UV and Visible Region over Different Types of Surfaces. Photochem. Photobiol. 1995;62:736-744. doi: 10.1111/j.1751-1097.1995.tb08723.x.", - "wavelength_minimum": 289.5737, - "wavelength_maximum": 400.10962, - "wavelength": "280, 289.5737, 292.93546, 295.9318, 298.85504, 301.486, 305.94397, 310.36542, 315.7369, 320.63336, 326.07794, 330.71863, 335.21317, 339.85385, 348.3313, 360.38977, 371.42508, 379.71985, 385.16443, 391.08405, 400.10962", - "albedo": "74.5, 75.36364, 75.666664, 75.93939, 76.21212, 76.333336, 76.30303, 76.42424, 76.606064, 76.84849, 77.21212, 77.42424, 77.90909, 78.42424, 78.93939, 79.57576, 80.21212, 80.545456, 80.757576, 80.93939, 81.57576" - }, - "A019": { - "data_entry_person": "Michael Kempe", - "date_entered": "7/28/2025", - "DOI": "10.3390/ijerph15071507", - "source_title": "Ultraviolet Radiation Albedo and Reflectance in Review: The Influence to Ultraviolet Exposure in Occupational Settings", - "authors": "Joanna Turner, Alfio V. Parisi", - "reference": "Turner J, Parisi AV. Ultraviolet Radiation Albedo and Reflectance in Review: The Influence to Ultraviolet Exposure in Occupational Settings. Int J Environ Res Public Health. 2018 Jul 17;15(7):1507.", - "keywords": "concrete, wet", - "comments": "Data is emperically extrapolated from 280 nm to 300 nm and from 397nm to 400 nm. Data extracted from Turner et al. Figure 2 as a reference to Feister & Grewe - concrete wet. Feister U., Grewe R. Spectral Albedo Measurements in the UV and Visible Region over Different Types of Surfaces. Photochem. Photobiol. 1995;62:736-744. doi: 10.1111/j.1751-1097.1995.tb08723.x.", - "wavelength_minimum": 299.66586, - "wavelength_maximum": 396.5155, - "wavelength": "280, 299.66586, 305.29834, 310.5012, 313.03104, 315.84726, 318.66348, 320.95465, 324.20047, 326.253, 328.92603, 331.5513, 334.31982, 336.611, 339.76132, 344.821, 347.20764, 349.97614, 351.88544, 356.70645, 361.62292, 366.49164, 373.9857, 375.99045, 378.99762, 383.9141, 386.34845, 394.12888, 396.5155, 400", - "albedo": "13.9, 14.00239, 14.066109, 14.105934, 14.121863, 14.145759, 14.185583, 14.217443, 14.249303, 14.313023, 14.416567, 14.480287, 14.567902, 14.663481, 14.75906, 14.950219, 15.005974, 15.117483, 15.268817, 15.635205, 16.009558, 16.360016, 16.949423, 17.076862, 17.180407, 17.3636, 17.459179, 17.777779, 17.873358, 18.02469" - }, - "A020": { - "data_entry_person": "Michael Kempe", - "date_entered": "7/28/2025", - "DOI": "10.3390/ijerph15071507", - "source_title": "Ultraviolet Radiation Albedo and Reflectance in Review: The Influence to Ultraviolet Exposure in Occupational Settings", - "authors": "Joanna Turner, Alfio V. Parisi", - "reference": "Turner J, Parisi AV. Ultraviolet Radiation Albedo and Reflectance in Review: The Influence to Ultraviolet Exposure in Occupational Settings. Int J Environ Res Public Health. 2018 Jul 17;15(7):1507.", - "keywords": "concrete, dry", - "comments": "Data is emperically extrapolated from 280 nm to 290 nm and from 394 nm to 400 nm. Data extracted from Turner et al. Figure 2 as a reference to Feister & Grewe - concrete dry. Feister U., Grewe R. Spectral Albedo Measurements in the UV and Visible Region over Different Types of Surfaces. Photochem. Photobiol. 1995;62:736-744. doi: 10.1111/j.1751-1097.1995.tb08723.x.", - "wavelength_minimum": 289.642, - "wavelength_maximum": 393.69928, - "wavelength": "280, 289.642, 302.10025, 310.11932, 316.65872, 322.29117, 330.31027, 339.1408, 344.48688, 350.45346, 359.66586, 362.6253, 373.93796, 380.04773, 390.31027, 393.69928, 400", - "albedo": "9.3, 9.53405, 9.637594, 9.828753, 10.290721, 10.633214, 11.039427, 11.756272, 12.066906, 12.337714, 13.094385, 13.253684, 13.803266, 14.121863, 15.029868, 15.444046, 16.113102" - }, - "A021": { - "data_entry_person": "Michael Kempe", - "date_entered": "7/28/2025", - "DOI": "10.3390/ijerph15071507", - "source_title": "Ultraviolet Radiation Albedo and Reflectance in Review: The Influence to Ultraviolet Exposure in Occupational Settings", - "authors": "Joanna Turner, Alfio V. Parisi", - "reference": "Turner J, Parisi AV. Ultraviolet Radiation Albedo and Reflectance in Review: The Influence to Ultraviolet Exposure in Occupational Settings. Int J Environ Res Public Health. 2018 Jul 17;15(7):1507.", - "keywords": "concrete", - "comments": "Data is emperically extrapolated from 280 nm to 290 nm and from 394 nm to 400 nm. Data extracted from Turner et al. Figure 2 as a reference to Diffey et al - concrete. Diffey B., Green A.T., Loftus M.J., Johnson G.J., Lee P.S. A Portable Instrument for Measuring Ground Reflectance in the Ultraviolet. Photochem. Photobiol. 1995;61:68-70. doi: 10.1111/j.1751-1097.1995.tb09244.x.", - "wavelength_minimum": 289.73746, - "wavelength_maximum": 393.50836, - "wavelength": "280, 289.73746, 300.09546, 308.68735, 319.3795, 328.49643, 338.47256, 348.40094, 352.36276, 358.66348, 365.15512, 373.93796, 380.52505, 387.49402, 393.50836, 400", - "albedo": "6.85, 7.1843886, 7.7339706, 7.7578654, 8.3154125, 8.641975, 9.143767, 9.62963, 9.844684, 10.075667, 10.314615, 10.728793, 11.039427, 11.5173235, 12.066906, 12.735962" - }, - "A022": { - "data_entry_person": "Michael Kempe", - "date_entered": "7/28/2025", - "DOI": "10.3390/ijerph15071507", - "source_title": "Ultraviolet Radiation Albedo and Reflectance in Review: The Influence to Ultraviolet Exposure in Occupational Settings", - "authors": "Joanna Turner, Alfio V. Parisi", - "reference": "Turner J, Parisi AV. Ultraviolet Radiation Albedo and Reflectance in Review: The Influence to Ultraviolet Exposure in Occupational Settings. Int J Environ Res Public Health. 2018 Jul 17;15(7):1507.", - "keywords": "brick, red", - "comments": "Data is emperically extrapolated from 280 nm to 300 nm and from 396 nm to 400 nm. Data extracted from Turner et al. Figure 2 as a reference to Diffey et al -Brick red. Diffey B., Green A.T., Loftus M.J., Johnson G.J., Lee P.S. A Portable Instrument for Measuring Ground Reflectance in the Ultraviolet. Photochem. Photobiol. 1995;61:68-70. doi: 10.1111/j.1751-1097.1995.tb09244.x.", - "wavelength_minimum": 299.65927, - "wavelength_maximum": 396.43515, - "wavelength": "280, 299.65927, 318.96176, 324.0966, 329.37296, 337.2635, 345.2972, 350.52588, 360.55362, 370.96158, 386.07474, 396.43515, 400", - "albedo": "7.47.5131564, 7.534136, 7.5196214, 7.6241918, 7.800883, 7.922056, 8.042487, 8.45784, 8.889166, 9.488403, 9.919717, 10.071428" - }, - "A023": { - "data_entry_person": "Michael Kempe", - "date_entered": "7/28/2025", - "DOI": "10.3390/ijerph15071507", - "source_title": "Ultraviolet Radiation Albedo and Reflectance in Review: The Influence to Ultraviolet Exposure in Occupational Settings", - "authors": "Joanna Turner, Alfio V. Parisi", - "reference": "Turner J, Parisi AV. Ultraviolet Radiation Albedo and Reflectance in Review: The Influence to Ultraviolet Exposure in Occupational Settings. Int J Environ Res Public Health. 2018 Jul 17;15(7):1507.", - "keywords": "brick terracotta", - "comments": "Data is emperically extrapolated from 280 nm to 300 nm and from 394 to 400 nm. Data extracted from Turner et al. Figure 2 as a reference to Diffey et al - brick terracotta. Diffey B., Green A.T., Loftus M.J., Johnson G.J., Lee P.S. A Portable Instrument for Measuring Ground Reflectance in the Ultraviolet. Photochem. Photobiol. 1995;61:68-70. doi: 10.1111/j.1751-1097.1995.tb09244.x.", - "wavelength_minimum": 299.48355, - "wavelength_maximum": 393.55927, - "wavelength": "280, 299.48355, 307.23215, 322.34976, 334.61462, 341.4602, 354.0581, 365.4674, 374.9755, 385.52682, 393.55927, 400", - "albedo": "5.8, 5.9892964, 6.094521, 6.225505, 6.3716073, 6.444847, 6.567228, 6.689294, 6.7553015, 7.1073003, 7.363394, 7.531696" - }, - "A024": { - "data_entry_person": "Michael Kempe", - "date_entered": "7/28/2025", - "DOI": "10.3390/ijerph15071507", - "source_title": "Ultraviolet Radiation Albedo and Reflectance in Review: The Influence to Ultraviolet Exposure in Occupational Settings", - "authors": "Joanna Turner, Alfio V. Parisi", - "reference": "Turner J, Parisi AV. Ultraviolet Radiation Albedo and Reflectance in Review: The Influence to Ultraviolet Exposure in Occupational Settings. Int J Environ Res Public Health. 2018 Jul 17;15(7):1507.", - "keywords": "brick", - "comments": "Data is emperically extrapolated from 280 nm to 304 nm and from 395 nm to 400 nm, and from 395 nm to 400 nm. Data extracted from Turner et al. Figure 2 as a reference to Webb et al - brick. Webb A., Stromberg I., Li H., Bartlett L. Airborne Spectral Measurements of Surface Reflectivity at Ultraviolet and Visible Wavelengths. J. Geophys. Res. 2000;105:4945-4948. doi: 10.1029/1999JD900813.", - "wavelength_minimum": 304.63293, - "wavelength_maximum": 395.1312, - "wavelength": "280, 304.63293, 314.555, 324.16312, 326.54022, 334.95377, 345.36783, 355.63177, 365.22916, 375.02808, 385.62628, 395.1312, 400", - "albedo": "3.5, 4.4430356, 5.9774103, 5.519634, 5.528199, 5.7050285, 5.4934974, 6.0676427, 6.7447867, 6.223568, 6.647008, 7.0463486, 7.3" - }, - "A025": { - "data_entry_person": "Michael Kempe", - "date_entered": "7/28/2025", - "DOI": "10.3390/ijerph15071507", - "source_title": "Ultraviolet Radiation Albedo and Reflectance in Review: The Influence to Ultraviolet Exposure in Occupational Settings", - "authors": "Joanna Turner, Alfio V. Parisi", - "reference": "Turner J, Parisi AV. Ultraviolet Radiation Albedo and Reflectance in Review: The Influence to Ultraviolet Exposure in Occupational Settings. Int J Environ Res Public Health. 2018 Jul 17;15(7):1507.", - "keywords": "metal, zinc aluminum", - "comments": "Data is emperically extrapolated from 280 nm to 300 nm. Data extracted from Turner et al. Figure 2 as a reference to Turner & Parisi - metal zinc aluminum. Turner J. Ph.D. Thesis. University of Southern Queensland; Toowoomba, Australia: 2011. Ultraviolet Radiation Reflection: Characterisation, Quantification and the Resulting Effects. Turner J., Parisi A.V. Ultraviolet Reflection Irradiances and Exposures in the Constructed Environment for Horizontal, Vertical and Inclined Surfaces. Photochem. Photobiol. 2013;89:730-736. doi: 10.1111/php.12025.", - "wavelength_minimum": 300.07413, - "wavelength_maximum": 400.02594, - "wavelength": "280, 300.07413, 300.57858, 300.65308, 301.58737, 301.80692, 302.52753, 302.88998, 304.11334, 304.61926, 305.69675, 306.41635, 306.34662, 307.06665, 308.07263, 309.22226, 309.72705, 310.3746, 310.66306, 311.73996, 312.88998, 314.9, 315.90442, 316.55234, 317.34302, 318.491, 319.85635, 322.72656, 323.87607, 324.5222, 325.8149, 328.0397, 328.9733, 330.33643, 335.0014, 336.43665, 338.6621, 342.17896, 344.25958, 345.19305, 349.06854, 350.21738, 351.86758, 353.01633, 355.60007, 357.68045, 359.18857, 360.62372, 363.997, 366.00717, 367.8011, 372.03552, 374.54715, 376.98804, 378.85355, 380.36096, 382.6564, 384.30798, 388.47067, 390.12164, 391.7006, 392.84763, 394.3559, 394.8583, 396.29294, 397.5859, 400.02594", - "albedo": "100, 65.18802, 63.749672, 61.831276, 60.93293, 57.995495, 55.95784, 53.440216, 51.163258, 48.705723, 48.04733, 46.7291, 45.29018, 43.67219, 42.833866, 41.935734, 40.25758, 39.119137, 38.16019, 37.921455, 36.723564, 36.42581, 36.666622, 35.288372, 34.449833, 34.69079, 33.49311, 33.91564, 33.07746, 32.958202, 32.359974, 32.42215, 32.003418, 32.36449, 32.429104, 32.55044, 32.133003, 32.076565, 32.558258, 32.25943, 32.323257, 31.964691, 32.326054, 32.02744, 32.03002, 32.691574, 32.033607, 32.214897, 32.158318, 31.74066, 31.982262, 31.986492, 32.22881, 31.751633, 32.11321, 31.934858, 32.77648, 32.17861, 32.18277, 32.004562, 32.00614, 32.90657, 32.1287, 32.1292, 32.670204, 31.892118,32.01446" - }, - "A026": { - "data_entry_person": "Michael Kempe", - "date_entered": "7/28/2025", - "DOI": "10.3390/ijerph15071507", - "source_title": "Ultraviolet Radiation Albedo and Reflectance in Review: The Influence to Ultraviolet Exposure in Occupational Settings", - "authors": "Joanna Turner, Alfio V. Parisi", - "reference": "Turner J, Parisi AV. Ultraviolet Radiation Albedo and Reflectance in Review: The Influence to Ultraviolet Exposure in Occupational Settings. Int J Environ Res Public Health. 2018 Jul 17;15(7):1507.", - "keywords": "metal, galvanised", - "comments": "Data is emperically extrapolated from 280 nm to 310 nm and from 390 nm to 400 nm. Data extracted from Turner et al. Figure 2 as a reference to Lester & Parisi - metal galvanised. Lester R.A., Parisi A.V. Spectral Ultraviolet Albedo of Roofing Surfaces and Human Facial Exposure. Int. J. Environ. Health Res. 2002;12:75-81. doi: 10.1080/09603120120110077.", - "wavelength_minimum": 310.10486, - "wavelength_maximum": 390.62805, - "wavelength": "280, 310.10486, 313.97986, 318.7876, 338.45187, 359.0496, 369.52805, 380.29382, 390.62805, 400", - "albedo": "26, 27.008537, 27.432074, 28.036398, 28.595615, 28.856007, 28.866476, 28.697376, 29.18732, 29.436451" - }, - "A027": { - "data_entry_person": "Michael Kempe", - "date_entered": "7/28/2025", - "DOI": "10.3390/ijerph15071507", - "source_title": "Ultraviolet Radiation Albedo and Reflectance in Review: The Influence to Ultraviolet Exposure in Occupational Settings", - "authors": "Joanna Turner, Alfio V. Parisi", - "reference": "Turner J, Parisi AV. Ultraviolet Radiation Albedo and Reflectance in Review: The Influence to Ultraviolet Exposure in Occupational Settings. Int J Environ Res Public Health. 2018 Jul 17;15(7):1507.", - "keywords": "metal, painted", - "comments": "Data is emperically extrapolated from 280 nm to 300 nm. Data extracted from Turner et al. Figure 2 as a reference to Turner & Parisi - metal painted. Turner J. Ph.D. Thesis. University of Southern Queensland; Toowoomba, Australia: 2011. Ultraviolet Radiation Reflection: Characterisation, Quantification and the Resulting Effects. Turner J., Parisi A.V. Ultraviolet Reflection Irradiances and Exposures in the Constructed Environment for Horizontal, Vertical and Inclined Surfaces. Photochem. Photobiol. 2013;89:730-736. doi: 10.1111/php.12025.", - "wavelength_minimum": 300.21793, - "wavelength_maximum": 400.0572, - "wavelength": "280, 300.21793, 300.57892, 300.65292, 301.44452, 301.73444, 302.3105, 302.60025, 303.03345, 303.25174, 304.47546, 304.9824, 305.19934, 306.28052, 306.6422, 307.36215, 307.21982, 307.86884, 309.59576, 309.88733, 310.32025, 310.3933, 310.89804, 311.61694, 311.90598, 312.98468, 313.99136, 315.28323, 315.9306, 316.86636, 317.8025, 318.66397, 319.31137, 320.82062, 322.9726, 324.55463, 325.273, 325.2738, 327.85855, 329.79788, 333.8166, 335.18066, 336.47202, 339.70312, 341.85608, 342.57446, 344.36743, 345.5887, 349.17715, 350.6136, 351.40237, 353.55615, 354.992, 358.14792, 359.8005, 361.73727, 365.82974, 371.28442, 374.2975, 375.80563, 377.24112, 378.67676, 381.04477, 382.98032, 384.9194, 387.93298, 389.58286, 390.87616, 392.31055, 392.95493, 395.3247, 396.6146, 400.0572", - "albedo": "100, 65.0083, 63.50986, 61.95118, 60.453167, 58.475037, 57.156666, 55.29844, 53.50031, 51.402203, 48.885437, 45.70848, 44.569607, 41.333275, 39.355213, 37.79718, 36.957706, 34.80008, 31.684294, 28.567074, 26.9488, 26.049591, 24.431389, 23.592777, 22.214167, 20.716442, 19.3985, 19.399792, 18.381252, 16.463718, 14.306377, 14.127382, 13.108843, 11.6715, 12.453028, 10.296332, 9.817433, 9.277864, 8.561022, 7.4838214, 7.7875977, 7.4892, 7.850203, 6.8342457, 6.956301, 6.4774017, 7.378475, 6.5403657, 6.6039033, 5.8859134, 6.366318, 5.8888535, 5.5905275, 6.97258, 5.6552844, 6.376645, 5.301596, 5.1871424, 6.0894346, 5.431468, 5.3729506, 5.1945286, 5.4966555, 7.0573444, 6.1600003, 6.7025805, 7.3037505, 6.2858562, 7.0067153, 8.086497, 7.129631, 8.509819, 10.191918" - }, - "A028": { - "data_entry_person": "Michael Kempe", - "date_entered": "7/28/2025", - "DOI": "10.3390/ijerph15071507", - "source_title": "Ultraviolet Radiation Albedo and Reflectance in Review: The Influence to Ultraviolet Exposure in Occupational Settings", - "authors": "Joanna Turner, Alfio V. Parisi", - "reference": "Turner J, Parisi AV. Ultraviolet Radiation Albedo and Reflectance in Review: The Influence to Ultraviolet Exposure in Occupational Settings. Int J Environ Res Public Health. 2018 Jul 17;15(7):1507.", - "keywords": "metal, painted", - "comments": "Data is emperically extrapolated from 280 nm to 309 nm and from 397 nm to 400 nm. Data extracted from Turner et al. Figure 2 as a reference to Lester & Parisi - metal painted. Lester R.A., Parisi A.V. Spectral Ultraviolet Albedo of Roofing Surfaces and Human Facial Exposure. Int. J. Environ. Health Res. 2002;12:75-81. doi: 10.1080/09603120120110077.", - "wavelength_minimum": 309.7072, - "wavelength_maximum": 396.8289, - "wavelength": "280, 309.7072,334.3244,355.7121,360.95114,368.48627,378.89166,381.83398,387.50235,392.09436,396.8289,400", - "albedo": "4.1, 3.9865236,4.0111213,3.9125876,4.037727,4.584825,5.494504,5.6773005,6.7021503,7.6060205,9.229459,10.011919," - }, - "A029": { - "data_entry_person": "Michael Kempe", - "date_entered": "7/28/2025", - "source_title": "PySmarts", - "keywords": "alfalfa", - "file": "ALFALFA.dat", - "comments": "Taken directly from PySmarts. File dated: 06/05/2004, 12:11:50 PM. Data is emperically extrapolated from 280 nm to 300 nm.", - "wavelength_minimum": 280, - "wavelength_maximum": 800, - "wavelength": "280, 300, 310, 320, 330, 340, 350, 360, 370, 380, 390, 400, 410, 420, 430, 440, 450, 460, 470, 480, 490, 500, 510, 520, 530, 540, 550, 560, 570, 580, 590, 600, 610, 620, 630, 640, 650, 660, 670, 680, 690, 700, 710, 720, 730, 740, 750, 760, 770, 780, 790, 800", - "albedo": "2.4, 2.3, 2.3, 2.3, 2.2, 2.2, 2.3, 2.3, 2.3, 2.2, 2.2, 2.4, 2.5, 2.7, 2.8, 2.9, 3, 3.2, 3.5, 4.1, 4.9, 5.8, 6.5, 7.1, 7.6, 8, 8.3, 8.1, 7.7, 6.9, 6.4, 5.8, 5.3, 4.9, 4.7, 4.7, 4.7, 5, 6.1, 8.1, 10.8, 14.6, 18.8, 23.9, 29.1, 35.1, 40.3, 47.2, 53.9, 60.2, 65.3, 69" - }, - "A030": { - "data_entry_person": "Michael Kempe", - "date_entered": "7/28/2025", - "source_title": "PySmarts", - "keywords": "asphalt", - "file": "Asphalt.dat", - "comments": "Taken directly from PySmarts. File dated: 20/03/2004, 8:14:12 PM. Data is emperically extrapolated from 280 nm to 300 nm.", - "wavelength_minimum": 280, - "wavelength_maximum": 4000, - "wavelength": "280, 300, 302, 304, 306, 308, 310, 312, 314, 316, 318, 320, 322, 324, 326, 328, 330, 332, 334, 336, 338, 340, 342, 344, 346, 348, 350, 352, 354, 356, 358, 360, 362, 364, 366, 368, 370, 372, 374, 376, 378, 380, 382, 384, 386, 388, 390, 392, 394, 396, 398, 400, 402, 404, 406, 408, 410, 412, 414, 416, 418, 420, 422, 424, 426, 428, 430, 432, 434, 436, 438, 440, 442, 444, 446, 448, 450, 452, 454, 456, 458, 460, 462, 464, 466, 468, 470, 472, 474, 476, 478, 480, 482, 484, 486, 488, 490, 492, 494, 496, 498, 500, 502, 504, 506, 508, 510, 512, 514, 516, 518, 520, 522, 524, 526, 528, 530, 532, 534, 536, 538, 540, 542, 544, 546, 548, 550, 552, 554, 556, 558, 560, 562, 564, 566, 568, 570, 572, 574, 576, 578, 580, 582, 584, 586, 588, 590, 592, 594, 596, 598, 600, 602, 604, 606, 608, 610, 612, 614, 616, 618, 620, 622, 624, 626, 628, 630, 632, 634, 636, 638, 640, 642, 644, 646, 648, 650, 652, 654, 656, 658, 660, 662, 664, 666, 668, 670, 672, 674, 676, 678, 680, 682, 684, 686, 688, 690, 692, 694, 696, 698, 700, 702, 704, 706, 708, 710, 712, 714, 716, 718, 720, 722, 724, 726, 728, 730, 732, 734, 736, 738, 740, 742, 744, 746, 748, 750, 752, 754, 756, 758, 760, 762, 764, 766, 768, 770, 772, 774, 776, 778, 780, 782, 784, 786, 788, 790, 792, 794, 796, 798, 800, 820, 840, 860, 880, 900, 920, 940, 960, 980, 1000, 1020, 1040, 1060, 1080, 1100, 1120, 1140, 1160, 1180, 1200, 1220, 1240, 1260, 1280, 1300, 1320, 1340, 1360, 1380, 1400, 1420, 1440, 1460, 1480, 1500, 1520, 1540, 1560, 1580, 1600, 1620, 1640, 1660, 1680, 1700, 1720, 1740, 1760, 1780, 1800, 1820, 1840, 1860, 1880, 1900, 1920, 1940, 1960, 1980, 2000, 2020, 2040, 2060, 2080, 2100, 2120, 2140, 2160, 2180, 2200, 2220, 2240, 2260, 2280, 2300, 2320, 2340, 2360, 2380, 2400, 2420, 2440, 2460, 2480, 2500, 2520, 2540, 2560, 2580, 2600, 2620, 2640, 2660, 2680, 2700, 2720, 2740, 2760, 2780, 2800, 2820, 2840, 2860, 2880, 2900, 2920, 2940, 2960, 2980, 3000, 3020, 3040, 3060, 3080, 3100, 3120, 3140, 3160, 3180, 3200, 3220, 3240, 3260, 3280, 3300, 3320, 3340, 3360, 3380, 3400, 3420, 3440, 3460, 3480, 3500, 3520, 3540, 3560, 3580, 3600, 3620, 3640, 3660, 3680, 3700, 3720, 3740, 3760, 3780, 3800, 3820, 3840, 3860, 3880, 3900, 3920, 3940, 3960, 3980, 4000", - "albedo": "5.8, 5.9, 6, 6, 6, 6, 6, 6, 6.1, 6.1, 6.1, 6.1, 6.1, 6.1, 6.1, 6.1, 6.2, 6.2, 6.2, 6.2, 6.2, 6.2, 6.2, 6.3, 6.3, 6.3, 6.3, 6.3, 6.3, 6.3, 6.3, 6.4, 6.4, 6.4, 6.4, 6.4, 6.4, 6.4, 6.5, 6.5, 6.5, 6.5, 6.5, 6.5, 6.6, 6.6, 6.6, 6.6, 6.6, 6.6, 6.7, 6.7, 6.7, 6.7, 6.7, 6.7, 6.7, 6.8, 6.8, 6.8, 6.8, 6.8, 6.8, 6.8, 6.9, 6.9, 6.9, 6.9, 6.9, 6.9, 7, 7, 7, 7, 7, 7, 7, 7, 7.1, 7.1, 7.1, 7.1, 7.1, 7.1, 7.1, 7.1, 7.2, 7.2, 7.2, 7.2, 7.2, 7.2, 7.2, 7.2, 7.2, 7.2, 7.2, 7.2, 7.3, 7.3, 7.3, 7.3, 7.3, 7.3, 7.4, 7.4, 7.4, 7.4, 7.4, 7.4, 7.4, 7.4, 7.4, 7.4, 7.5, 7.5, 7.5, 7.5, 7.5, 7.5, 7.5, 7.5, 7.5, 7.6, 7.6, 7.6, 7.6, 7.6, 7.6, 7.6, 7.6, 7.6, 7.6, 7.6, 7.7, 7.7, 7.7, 7.7, 7.7, 7.7, 7.7, 7.7, 7.7, 7.7, 7.7, 7.7, 7.7, 7.8, 7.8, 7.8, 7.8, 7.8, 7.8, 7.8, 7.8, 7.8, 7.8, 7.8, 7.8, 7.8, 7.8, 7.8, 7.8, 7.9, 7.9, 7.9, 7.9, 7.9, 7.9, 7.9, 7.9, 7.9, 7.9, 7.9, 7.9, 7.9, 7.9, 7.9, 7.9, 7.9, 7.9, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8.1, 8.1, 8.1, 8.1, 8.1, 8.1, 8.1, 8.1, 8.1, 8.1, 8.1, 8.1, 8.1, 8.1, 8.1, 8.1, 8.1, 8.1, 8.1, 8.1, 8.1, 8.2, 8.2, 8.2, 8.2, 8.2, 8.2, 8.2, 8.2, 8.2, 8.2, 8.2, 8.2, 8.2, 8.2, 8.2, 8.2, 8.2, 8.2, 8.2, 8.2, 8.2, 8.2, 8.2, 8.2, 8.2, 8.2, 8.2, 8.2, 8.2, 8.2, 8.3, 8.3, 8.3, 8.5, 8.6, 8.6, 8.5, 8.4, 8.4, 8.4, 8.4, 8.4, 8.4, 8.4, 8.4, 8.4, 8.4, 8.4, 8.5, 8.4, 8.4, 8.4, 8.4, 8.4, 8.4, 8.4, 8.4, 8.4, 8.4, 8.4, 8.4, 8.4, 8.4, 8.4, 8.4, 8.4, 8.4, 8.4, 8.4, 8.4, 8.4, 8.4, 8.4, 8.4, 8.4, 8.3, 8.4, 8.3, 8.3, 8.3, 8.3, 8.3, 8.3, 8.3, 8.2, 8.2, 8.1, 8.2, 8.1, 8.2, 8.2, 8.2, 8.2, 8.2, 8.2, 8.1, 8.1, 8, 8, 8, 8, 8, 8, 8, 7.7, 7.6, 7.6, 7.5, 7.5, 7.4, 7.4, 7.1, 7.1, 7.1, 7, 6.9, 7.2, 7.1, 7, 6.9, 6.9, 6.9, 6.9, 6.6, 5.9, 5.5, 5.2, 5, 5.1, 5.3, 5.2, 5.3, 5.1, 5.1, 5.2, 5.1, 5, 5.1, 5.1, 5.2, 5.2, 5.2, 5.3, 5.4, 5.5, 5.5, 5.4, 5.5, 5.6, 5.6, 5.5, 5.4, 5.6, 5.3, 5.1, 5.2, 5.2, 5, 4.8, 4.6, 4.5, 4.6, 4.6, 4.7, 4.7, 4.8, 5.2, 5.3, 5.4, 5.3, 5.5, 5.5, 5.4, 5.4, 5.4, 5.4, 5.2, 5.1, 4.9, 4.9, 5, 5.1, 4.9, 4.9, 4.8, 4.6, 4.6, 4.7, 4.8, 5.1" - }, - "A031": { - "data_entry_person": "Michael Kempe", - "date_entered": "7/28/2025", - "source_title": "PySmarts", - "keywords": "basalt", - "file": "BASALT.dat", - "comments": "Taken directly from PySmarts. File dated: 06/05/2004, 12:11:52 PM. Data is emperically extrapolated from 280 nm to 300 nm.", - "wavelength_minimum": 280, - "wavelength_maximum": 2480, - "wavelength": "280, 300, 310, 320, 330, 340, 350, 360, 370, 380, 390, 400, 410, 420, 430, 440, 450, 460, 470, 480, 490, 500, 510, 520, 530, 540, 550, 560, 570, 580, 590, 600, 610, 620, 630, 640, 650, 660, 670, 680, 690, 700, 710, 720, 730, 740, 750, 760, 770, 780, 790, 800, 810, 820, 830, 840, 850, 860, 870, 880, 890, 900, 910, 920, 930, 940, 950, 960, 970, 980, 990, 1000, 1010, 1020, 1030, 1040, 1050, 1060, 1070, 1080, 1090, 1100, 1110, 1120, 1130, 1140, 1150, 1160, 1170, 1180, 1190, 1200, 1210, 1220, 1230, 1240, 1250, 1260, 1270, 1280, 1290, 1300, 1310, 1320, 1330, 1340, 1350, 1360, 1370, 1380, 1390, 1400, 1410, 1420, 1430, 1440, 1450, 1460, 1470, 1480, 1490, 1500, 1510, 1520, 1530, 1540, 1550, 1560, 1570, 1580, 1590, 1600, 1610, 1620, 1630, 1640, 1650, 1660, 1670, 1680, 1690, 1700, 1710, 1720, 1730, 1740, 1750, 1760, 1770, 1780, 1790, 1800, 1810, 1820, 1830, 1840, 1850, 1860, 1870, 1880, 1890, 1900, 1910, 1920, 1930, 1940, 1950, 1960, 1970, 1980, 1990, 2000, 2010, 2020, 2030, 2040, 2050, 2060, 2070, 2080, 2090, 2100, 2110, 2120, 2130, 2140, 2150, 2160, 2170, 2180, 2190, 2200, 2210, 2220, 2230, 2240, 2250, 2260, 2270, 2280, 2290, 2300, 2310, 2320, 2330, 2340, 2350, 2360, 2370, 2380, 2390, 2400, 2410, 2420, 2430, 2440, 2450, 2460, 2470, 2480", - "albedo": "10.5, 11.9, 12.6, 13.3, 13.9, 14.5, 15, 15.5, 15.8, 16.1, 16.3, 16.5, 16.75, 17, 17.3, 17.6, 17.8, 18, 18.1, 18.2, 18.3, 18.4, 18.45, 18.5, 18.6, 18.7, 18.8, 18.9, 19, 19.1, 19.2, 19.3, 19.25, 19.2, 19.25, 19.3, 19.45, 19.6, 19.7, 19.8, 19.95, 20.1, 20.3, 20.5, 20.6, 20.7, 20.85, 21, 21.15, 21.3, 21.4, 21.5, 21.55, 21.6, 21.6, 21.6, 21.7, 21.8, 21.8, 21.8, 21.7, 21.6, 21.6, 21.6, 21.5, 21.4, 21.35, 21.3, 21.3, 21.3, 21.2, 21.1, 21.1, 21.1, 21.1, 21.1, 21.1, 21.1, 21.15, 21.2, 21.3, 21.4, 21.5, 21.6, 21.75, 21.9, 22.05, 22.2, 22.25, 22.3, 22.4, 22.5, 22.6, 22.7, 22.9, 23.1, 23.15, 23.2, 23.15, 23.1, 23.15, 23.2, 23.35, 23.5, 23.65, 23.8, 23.9, 24, 24.05, 24.1, 24.15, 24.2, 24.15, 24.1, 24.15, 24.2, 24.25, 24.3, 24.35, 24.4, 24.45, 24.5, 24.65, 24.8, 24.85, 24.9, 24.95, 25, 25.05, 25.1, 25.15, 25.2, 25.3, 25.4, 25.45, 25.5, 25.5, 25.5, 25.55, 25.6, 25.65, 25.7, 25.75, 25.8, 25.85, 25.9, 25.95, 26, 26.05, 26.1, 26.1, 26.1, 26.15, 26.2, 26.25, 26.3, 26.35, 26.4, 26.5, 26.6, 26.65, 26.7, 26.75, 26.8, 26.85, 26.9, 26.95, 27, 27, 27, 27, 27, 27.05, 27.1, 27.15, 27.2, 27.3, 27.4, 27.5, 27.6, 27.65, 27.7, 27.65, 27.6, 27.65, 27.7, 27.75, 27.8, 27.85, 27.9, 27.95, 28, 28.05, 28.1, 28.2, 28.3, 28.35, 28.4, 28.45, 28.5, 28.55, 28.6, 28.65, 28.7, 28.75, 28.8, 28.85, 28.9, 29, 29.1, 29.15, 29.2, 29.25, 29.3, 29.3, 29.3, 29.3, 29.3, 29.3, 29.3" - }, - "A032": { - "data_entry_person": "Michael Kempe", - "date_entered": "7/28/2025", - "source_title": "PySmarts", - "keywords": "concrete", - "file": "CONCRETE.dat", - "comments": "Taken directly from PySmarts. File dated: 06/05/2004, 12:11:52 PM. Data is emperically extrapolated from 280 nm to 300 nm.", - "wavelength_minimum": 280, - "wavelength_maximum": 1300, - "wavelength": "280, 300, 310, 320, 330, 340, 350, 360, 370, 380, 390, 400, 410, 420, 430, 440, 450, 460, 470, 480, 490, 500, 510, 520, 530, 540, 550, 560, 570, 580, 590, 600, 610, 620, 630, 640, 650, 660, 670, 680, 690, 700, 710, 720, 730, 740, 750, 760, 770, 780, 790, 800, 810, 820, 830, 840, 850, 860, 870, 880, 890, 900, 910, 920, 930, 940, 950, 960, 970, 980, 990, 1000, 1010, 1020, 1030, 1040, 1050, 1060, 1070, 1080, 1090, 1100, 1110, 1120, 1130, 1140, 1150, 1160, 1170, 1180, 1190, 1200, 1210, 1220, 1230, 1240, 1250, 1260, 1270, 1280, 1290, 1300", - "albedo": "21, 18.6, 17.75, 16.9, 16.45, 16, 16.05, 16.1, 16.5, 16.9, 17.45, 18, 18.55, 19.1, 19.8, 20.5, 21.05, 21.6, 22.35, 23.1, 24, 24.9, 25.7, 26.5, 27.5, 28.5, 29.3, 30.1, 30.8, 31.5, 32.15, 32.8, 33.7, 34.6, 35.2, 35.8, 36.4, 37, 37.75, 38.5, 39.4, 40.3, 42, 43.7, 44.45, 45.2, 45.25, 45.3, 44.7, 44.1, 43.25, 42.4, 41.5, 40.6, 40.05, 39.5, 39.3, 39.1, 38.9, 38.7, 38.75, 38.8, 38.9, 39, 39.1, 39.2, 39.45, 39.7, 40.2, 40.7, 41.6, 42.5, 43.9, 45.3, 46.3, 47.3, 47.75, 48.2, 47.95, 47.7, 47.2, 46.7, 46.1, 45.5, 45.05, 44.6, 44.65, 44.7, 45.1, 45.5, 46.25, 47, 47.55, 48.1, 48.3, 48.5, 48.65, 48.8, 48.75, 48.7, 48.65, 48.6" - }, - "A033": { - "data_entry_person": "Michael Kempe", - "date_entered": "7/28/2025", - "source_title": "PySmarts", - "keywords": "conifer, tree", - "file": "Conifers.dat", - "comments": "Taken directly from PySmarts. File dated: 06/05/2004, 12:11:52 PM. Data is emperically extrapolated from 280 nm to 302 nm.", - "wavelength_minimum": 280, - "wavelength_maximum": 4000, - "wavelength": "280, 302, 304, 306, 308, 310, 312, 314, 316, 318, 320, 322, 324, 326, 328, 330, 332, 334, 336, 338, 340, 342, 344, 346, 348, 350, 352, 354, 356, 358, 360, 362, 364, 366, 368, 370, 372, 374, 376, 378, 380, 382, 384, 386, 388, 390, 392, 394, 396, 398, 400, 402, 404, 406, 408, 410, 412, 414, 416, 418, 420, 422, 424, 426, 428, 430, 432, 434, 436, 438, 440, 442, 444, 446, 448, 450, 452, 454, 456, 458, 460, 462, 464, 466, 468, 470, 472, 474, 476, 478, 480, 482, 484, 486, 488, 490, 492, 494, 496, 498, 500, 502, 504, 506, 508, 510, 512, 514, 516, 518, 520, 522, 524, 526, 528, 530, 532, 534, 536, 538, 540, 542, 544, 546, 548, 550, 552, 554, 556, 558, 560, 562, 564, 566, 568, 570, 572, 574, 576, 578, 580, 582, 584, 586, 588, 590, 592, 594, 596, 598, 600, 602, 604, 606, 608, 610, 612, 614, 616, 618, 620, 622, 624, 626, 628, 630, 632, 634, 636, 638, 640, 642, 644, 646, 648, 650, 652, 654, 656, 658, 660, 662, 664, 666, 668, 670, 672, 674, 676, 678, 680, 682, 684, 686, 688, 690, 692, 694, 696, 698, 700, 702, 704, 706, 708, 710, 712, 714, 716, 718, 720, 722, 724, 726, 728, 730, 732, 734, 736, 738, 740, 742, 744, 746, 748, 750, 752, 754, 756, 758, 760, 762, 764, 766, 768, 770, 772, 774, 776, 778, 780, 782, 784, 786, 788, 790, 792, 794, 796, 798, 800, 820, 840, 860, 880, 900, 920, 940, 960, 980, 1000, 1020, 1040, 1060, 1080, 1100, 1120, 1140, 1160, 1180, 1200, 1220, 1240, 1260, 1280, 1300, 1320, 1340, 1360, 1380, 1400, 1420, 1440, 1460, 1480, 1500, 1520, 1540, 1560, 1580, 1600, 1620, 1640, 1660, 1680, 1700, 1720, 1740, 1760, 1780, 1800, 1820, 1840, 1860, 1880, 1900, 1920, 1940, 1960, 1980, 2000, 2020, 2040, 2060, 2080, 2100, 2120, 2140, 2160, 2180, 2200, 2220, 2240, 2260, 2280, 2300, 2320, 2340, 2360, 2380, 2400, 2420, 2440, 2460, 2480, 2500, 2520, 2540, 2560, 2580, 2600, 2620, 2640, 2660, 2680, 2700, 2720, 2740, 2760, 2780, 2800, 2820, 2840, 2860, 2880, 2900, 2920, 2940, 2960, 2980, 3000, 3020, 3040, 3060, 3080, 3100, 3120, 3140, 3160, 3180, 3200, 3220, 3240, 3260, 3280, 3300, 3320, 3340, 3360, 3380, 3400, 3420, 3440, 3460, 3480, 3500, 3520, 3540, 3560, 3580, 3600, 3620, 3640, 3660, 3680, 3700, 3720, 3740, 3760, 3780, 3800, 3820, 3840, 3860, 3880, 3900, 3920, 3940, 3960, 3980, 4000", - 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File dated: 06/05/2004, 12:11:52 PM. 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File dated: 06/05/2004, 12:11:52 PM. Data is emperically extrapolated from 280 nm to 300 nm.", - "wavelength_minimum": 280, - "wavelength_maximum": 990, - "wavelength": "280, 320, 330, 340, 350, 360, 370, 380, 390, 400, 410, 420, 430, 440, 450, 460, 470, 480, 490, 500, 510, 520, 530, 540, 550, 560, 570, 580, 590, 600, 610, 620, 630, 640, 650, 660, 670, 680, 690, 700, 710, 720, 730, 740, 750, 760, 770, 780, 790, 800, 810, 820, 830, 840, 850, 860, 870, 880, 890, 900, 910, 920, 930, 940, 950, 960, 970, 980, 990", - "albedo": "4.4, 4.4, 4.3, 4.2, 4.2, 4.3, 4.5, 4.7, 4.8, 5, 5.1, 5.3, 5.3, 5.5, 5.8, 6.2, 6.7, 7.1, 7.7, 8.2, 8.8, 9.4, 10.3, 11.4, 13.1, 15.4, 18.6, 22.5, 25.1, 26.8, 28.3, 29.7, 30.9, 32, 32.9, 33.5, 34.3, 35.3, 36.2, 37.1, 37.8, 38.6, 39.5, 40.3, 41, 41.6, 42.1, 42.7, 43, 43.1, 43, 43.1, 43.2, 43.4, 43.5, 43.7, 44, 44.2, 44.5, 44.8, 45.2, 45.7, 46.1, 46.5, 47, 47.4, 47.8, 48.2, 48.5" - }, - "A037": { - "data_entry_person": "Michael Kempe", - "date_entered": "7/28/2025", - "source_title": "PySmarts", - "keywords": "dry, soil", - "file": "Dry_Soil.dat", - "comments": "Taken directly from PySmarts. File dated: 06/05/2004, 12:11:52 PM. ", - "wavelength_minimum": 280, - "wavelength_maximum": 4000, - "wavelength": "280, 300, 320, 330, 340, 350, 360, 370, 380, 390, 400, 410, 420, 430, 440, 450, 460, 470, 480, 490, 500, 510, 520, 530, 540, 550, 560, 570, 580, 590, 600, 610, 620, 630, 640, 650, 660, 670, 680, 690, 700, 710, 720, 730, 740, 750, 760, 770, 780, 790, 800, 810, 820, 830, 840, 850, 860, 870, 880, 890, 900, 910, 920, 930, 940, 950, 960, 970, 980, 990, 1000, 1010, 1020, 1030, 1040, 1050, 1060, 1070, 1080, 1090, 1100, 1110, 1120, 1130, 1140, 1150, 1160, 1170, 1180, 1190, 1200, 1210, 1220, 1230, 1240, 1250, 1260, 1270, 1280, 1290, 1300, 1310, 1320, 1330, 1340, 1350, 1360, 1370, 1380, 1390, 1400, 1410, 1420, 1430, 1440, 1450, 1460, 1470, 1480, 1490, 1500, 1510, 1520, 1530, 1540, 1550, 1560, 1570, 1580, 1590, 1600, 1610, 1620, 1630, 1640, 1650, 1660, 1670, 1680, 1690, 1700, 1710, 1720, 1730, 1740, 1750, 1760, 1770, 1780, 1790, 1800, 1810, 1820, 1830, 1840, 1850, 1860, 1870, 1880, 1890, 1900, 1910, 1920, 1930, 1940, 1950, 1960, 1970, 1980, 1990, 2000, 2010, 2020, 2030, 2040, 2050, 2060, 2070, 2080, 2090, 2100, 2110, 2120, 2130, 2140, 2150, 2160, 2170, 2180, 2190, 2200, 2210, 2220, 2230, 2240, 2250, 2260, 2270, 2280, 2290, 2300, 2310, 2320, 2330, 2340, 2350, 2360, 2370, 2380, 2390, 2400, 2410, 2420, 2430, 2440, 2450, 2460, 2470, 2480, 2600, 2800, 3000, 3500, 4000", - "albedo": "4, 4.1, 4.2, 4.2, 4.2, 4.2, 4.3, 4.5, 4.7, 4.8, 5, 5.1, 5.3, 5.3, 5.5, 5.8, 6.2, 6.7, 7.1, 7.7, 8.2, 8.8, 9.4, 10.3, 11.2, 13, 16.7, 18, 19.3, 20.6, 21.8, 23.1, 23.8, 24.4, 25.1, 25.4, 26, 26.5, 27, 27.6, 28.3, 28.8, 29.3, 29.8, 30.3, 30.8, 31.4, 31.9, 32.4, 32.9, 33.2, 33.2, 33.2, 33.3, 33.3, 33.4, 33.3, 33.3, 33.2, 33.2, 33, 33, 33, 32.9, 32.9, 32.9, 32.8, 32.8, 32.9, 33.2, 33.4, 33.7, 34.1, 34.7, 35.2, 35.6, 35.6, 35.6, 35.7, 35.6, 35.6, 35, 34.1, 33, 32, 30.8, 29.6, 28.5, 27.8, 28, 28.4, 28.8, 29.2, 29.6, 29.9, 30.2, 30.2, 30.3, 30.2, 30.2, 30.1, 29, 27.9, 26.7, 25.6, 24.4, 23.4, 22.4, 21.3, 20.3, 19.3, 18.9, 18.5, 18.1, 17.7, 17.3, 17, 16.6, 16.2, 15.8, 15.4, 15.7, 15.9, 16.2, 16.4, 16.7, 17.7, 18.8, 19.8, 20.8, 21.8, 22.5, 23.1, 23.3, 23.4, 23.5, 23.3, 23, 22.6, 22.2, 21.8, 21.3, 20.8, 20.3, 19.8, 19.3, 19.1, 19, 19, 19.1, 19.3, 19.4, 19.5, 19.7, 19.8, 19.3, 17.3, 15.4, 13.5, 11.6, 9, 7.5, 6.3, 6.05, 5.8, 5.6, 5.4, 5.6, 5.8, 7.65, 9.5, 11.5, 13.5, 13.55, 13.6, 13.7, 13.8, 13.7, 13.6, 13.3, 13, 12.4, 11.8, 11.2, 10.6, 10.35, 10.1, 9.95, 9.8, 9.7, 9.6, 9.6, 9.6, 9.65, 9.7, 9.75, 9.8, 9.65, 9.5, 9.35, 9.2, 8.75, 8.3, 7.9, 7.5, 7.25, 7, 6.8, 6.6, 6.3, 6, 5.75, 5.5, 5.45, 5.4, 5.35, 5.3, 5.3, 5.3, 5.2, 5.2, 5.1, 5, 5" - }, - "A038": { - "data_entry_person": "Michael Kempe", - "date_entered": "7/28/2025", - "source_title": "PySmarts", - "keywords": "fallow, soil", - "file": "Fallow.dat", - "comments": "Taken directly from PySmarts. File dated: 20/03/2004, 8:14:14 PM. Data is emperically extrapolated from 280 nm to 300 nm.", - "wavelength_minimum": 280, - "wavelength_maximum": 1190, - "wavelength": "280, 320, 330, 340, 350, 360, 370, 380, 390, 400, 410, 420, 430, 440, 450, 460, 470, 480, 490, 500, 510, 520, 530, 540, 550, 560, 570, 580, 590, 600, 610, 620, 630, 640, 650, 660, 670, 680, 690, 700, 710, 720, 730, 740, 750, 760, 770, 780, 790, 800, 810, 820, 830, 840, 850, 860, 870, 880, 890, 900, 910, 920, 930, 940, 950, 960, 970, 980, 990, 1000, 1010, 1020, 1030, 1040, 1050, 1060, 1070, 1080, 1090, 1100, 1110, 1120, 1130, 1140, 1150, 1160, 1170, 1180, 1190", - "albedo": "6, 5.7, 4.9, 4.4, 4.3, 4.4, 4.6, 4.9, 5.1, 5.3, 5.8, 6.3, 6.8, 7.2, 7.9, 8.6, 9.1, 9.9, 10.6, 11, 11.4, 11.8, 12.1, 12.8, 13.5, 15, 15.6, 16.2, 16.8, 17.1, 17.7, 18, 18.3, 18.4, 18.7, 19.1, 19.4, 19.7, 19.9, 20.5, 21.1, 21.8, 22.4, 23.3, 24, 24.5, 25, 25.3, 25.5, 25.8, 26, 26.1, 26.2, 26.4, 26.5, 26.8, 26.8, 26.9, 27, 26.9, 26.6, 26.2, 25.7, 25.6, 25.4, 25.7, 25.8, 25.7, 25.5, 25.1, 24.8, 24.4, 23.7, 23.1, 22.6, 22.4, 22.4, 22.2, 21.6, 20.9, 20.3, 19.5, 18.8, 18.7, 18.6, 18.6, 18.7, 18.6, 18.7" - }, - "A039": { - "data_entry_person": "Michael Kempe", - "date_entered": "7/28/2025", - "source_title": "PySmarts", - "keywords": "fine snow", - "file": "FineSnow.dat", - "comments": "Taken directly from PySmarts. File dated: 06/05/2004, 12:12:04 PM. 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File dated: 06/05/2004, 12:12:04 PM. Data is emperically extrapolated from 280 nm to 300 nm.", - "wavelength_minimum": 280, - "wavelength_maximum": 1190, - "wavelength": "280, 300, 310, 320, 330, 340, 350, 360, 370, 380, 390, 400, 410, 420, 430, 440, 450, 460, 470, 480, 490, 500, 510, 520, 530, 540, 550, 560, 570, 580, 590, 600, 610, 620, 630, 640, 650, 660, 670, 680, 690, 700, 710, 720, 730, 740, 750, 760, 770, 780, 790, 800, 810, 820, 830, 840, 850, 860, 870, 880, 890, 900, 910, 920, 930, 940, 950, 960, 970, 980, 990, 1000, 1010, 1020, 1030, 1040, 1050, 1060, 1070, 1080, 1090, 1100, 1110, 1120, 1130, 1140, 1150, 1160, 1170, 1180, 1190", - "albedo": "4, 3.1, 2.8, 2.5, 2.3, 2.1, 2, 1.9, 1.9, 1.9, 2.1, 2.2, 2.4, 2.5, 2.6, 2.7, 2.7, 2.7, 2.8, 3, 3.2, 3.3, 3.8, 4.5, 5.3, 5.8, 6.2, 6.4, 6.5, 6.4, 6.3, 5.9, 5.7, 5.2, 4.9, 4.6, 4.4, 4.2, 4.1, 4.1, 4.1, 4.3, 4.8, 8.4, 13, 18.2, 23.9, 26.7, 29.5, 31.2, 32.2, 32.7, 32.7, 32.4, 31.9, 31.4, 31.4, 31.8, 32.3, 32.7, 32.7, 32.6, 32, 31.4, 30.5, 29.3, 27.7, 26.4, 25.8, 26.5, 26.9, 26.9, 26.7, 26.4, 26, 25.6, 25.1, 24.5, 23.7, 23, 22.2, 21.1, 19.8, 18.3, 16.5, 14.5, 13.5, 13.1, 12.8, 12.7, 12.7" - }, - "A041": { - "data_entry_person": "Michael Kempe", - "date_entered": "7/28/2025", - "source_title": "PySmarts", - "keywords": "gravel", - "file": "Gravel.dat", - "comments": "Taken directly from PySmarts. File dated: 20/03/2004, 8:14:14 PM. Data is emperically extrapolated from 280 nm to 320 nm.", - "wavelength_minimum": 280, - "wavelength_maximum": 1300, - "wavelength": "280, 320, 340, 360, 380, 400, 420, 440, 460, 480, 500, 520, 540, 560, 580, 600, 620, 640, 660, 680, 700, 720, 740, 760, 780, 800, 820, 840, 860, 880, 900, 920, 940, 960, 980, 1000, 1020, 1040, 1060, 1080, 1100, 1120, 1140, 1160, 1180, 1200, 1220, 1240, 1260, 1280, 1300", - "albedo": "12, 9.4, 7.8, 8, 8.9, 9.7, 10.6, 11.6, 12.1, 12.9, 13.8, 14.9, 16.5, 18, 19.4, 20.7, 21.5, 22, 22.9, 24.8, 28.3, 31.7, 33.7, 34.3, 34.4, 34.7, 34.5, 33.2, 32.2, 32.1, 31.6, 31, 30.8, 31, 31.1, 30.8, 30.2, 30.3, 31.2, 32.2, 32.6, 32.8, 33.5, 34.6, 36.1, 37.8, 38.8, 39, 39.8, 40.9, 42.2" - }, - "A042": { - "data_entry_person": "Michael Kempe", - "date_entered": "7/28/2025", - "source_title": "PySmarts", - "keywords": "green, grass", - "file": "GrnGrass.dat", - "comments": "Taken directly from PySmarts. File dated: 06/05/2004, 12:12:04 PM. Data is emperically extrapolated from 280 nm to 302 nm.", - "wavelength_minimum": 280, - "wavelength_maximum": 4000, - "wavelength": "280, 302, 304, 306, 308, 310, 312, 314, 316, 318, 320, 322, 324, 326, 328, 330, 332, 334, 336, 338, 340, 342, 344, 346, 348, 350, 352, 354, 356, 358, 360, 362, 364, 366, 368, 370, 372, 374, 376, 378, 380, 382, 384, 386, 388, 390, 392, 394, 396, 398, 400, 402, 404, 406, 408, 410, 412, 414, 416, 418, 420, 422, 424, 426, 428, 430, 432, 434, 436, 438, 440, 442, 444, 446, 448, 450, 452, 454, 456, 458, 460, 462, 464, 466, 468, 470, 472, 474, 476, 478, 480, 482, 484, 486, 488, 490, 492, 494, 496, 498, 500, 502, 504, 506, 508, 510, 512, 514, 516, 518, 520, 522, 524, 526, 528, 530, 532, 534, 536, 538, 540, 542, 544, 546, 548, 550, 552, 554, 556, 558, 560, 562, 564, 566, 568, 570, 572, 574, 576, 578, 580, 582, 584, 586, 588, 590, 592, 594, 596, 598, 600, 602, 604, 606, 608, 610, 612, 614, 616, 618, 620, 622, 624, 626, 628, 630, 632, 634, 636, 638, 640, 642, 644, 646, 648, 650, 652, 654, 656, 658, 660, 662, 664, 666, 668, 670, 672, 674, 676, 678, 680, 682, 684, 686, 688, 690, 692, 694, 696, 698, 700, 702, 704, 706, 708, 710, 712, 714, 716, 718, 720, 722, 724, 726, 728, 730, 732, 734, 736, 738, 740, 742, 744, 746, 748, 750, 752, 754, 756, 758, 760, 762, 764, 766, 768, 770, 772, 774, 776, 778, 780, 782, 784, 786, 788, 790, 792, 794, 796, 798, 800, 820, 840, 860, 880, 900, 920, 940, 960, 980, 1000, 1020, 1040, 1060, 1080, 1100, 1120, 1140, 1160, 1180, 1200, 1220, 1240, 1260, 1280, 1300, 1320, 1340, 1360, 1380, 1400, 1420, 1440, 1460, 1480, 1500, 1520, 1540, 1560, 1580, 1600, 1620, 1640, 1660, 1680, 1700, 1720, 1740, 1760, 1780, 1800, 1820, 1840, 1860, 1880, 1900, 1920, 1940, 1960, 1980, 2000, 2020, 2040, 2060, 2080, 2100, 2120, 2140, 2160, 2180, 2200, 2220, 2240, 2260, 2280, 2300, 2320, 2340, 2360, 2380, 2400, 2420, 2440, 2460, 2480, 2500, 2520, 2540, 2560, 2580, 2600, 2620, 2640, 2660, 2680, 2700, 2720, 2740, 2760, 2780, 2800, 2820, 2840, 2860, 2880, 2900, 2920, 2940, 2960, 2980, 3000, 3020, 3040, 3060, 3080, 3100, 3120, 3140, 3160, 3180, 3200, 3220, 3240, 3260, 3280, 3300, 3320, 3340, 3360, 3380, 3400, 3420, 3440, 3460, 3480, 3500, 3520, 3540, 3560, 3580, 3600, 3620, 3640, 3660, 3680, 3700, 3720, 3740, 3760, 3780, 3800, 3820, 3840, 3860, 3880, 3900, 3920, 3940, 3960, 3980, 4000", - "albedo": "2.8, 2.9582, 2.9759, 2.9935, 3.0112, 3.0288, 3.0465, 3.0641, 3.0818, 3.0994, 3.1171, 3.1347, 3.1523, 3.17, 3.1877, 3.2053, 3.2229, 3.2406, 3.2582, 3.2759, 3.2935, 3.3112, 3.3288, 3.3465, 3.3641, 3.3818, 3.3994, 3.4171, 3.4347, 3.4524, 3.47, 3.4876, 3.5053, 3.5229, 3.5406, 3.5582, 3.5759, 3.5935, 3.6112, 3.6288, 3.6465, 3.6641, 3.6818, 3.6994, 3.7171, 3.7347, 3.7524, 3.77, 3.7876, 3.8053, 3.8229, 3.8406, 3.8533, 3.862, 3.8773, 3.8887, 3.8945, 3.9064, 3.9233, 3.9298, 3.9397, 3.953, 3.9714, 3.9794, 3.9864, 4.014, 4.0143, 4.029, 4.0321, 4.0495, 4.0597, 4.0698, 4.0786, 4.0926, 4.1072, 4.1194, 4.1294, 4.1362, 4.1487, 4.1629, 4.179, 4.189, 4.1996, 4.2063, 4.2185, 4.2327, 4.2435, 4.2597, 4.2674, 4.2768, 4.2894, 4.3055, 4.31, 4.3268, 4.3348, 4.3485, 4.3605, 4.3706, 4.399, 4.4595, 4.5412, 4.6444, 4.7634, 4.8893, 5.0719, 5.3314, 5.6175, 5.9142, 6.2804, 6.71, 7.1183, 7.5386, 8.0256, 8.4949, 8.9023, 9.2914, 9.6696, 9.9535, 10.169, 10.353, 10.528, 10.68, 10.811, 10.912, 10.98, 11.022, 11.064, 11.11, 11.123, 11.076, 10.975, 10.843, 10.682, 10.507, 10.29, 10.024, 9.7302, 9.4614, 9.1871, 8.903, 8.6963, 8.5306, 8.3636, 8.1922, 8.0257, 7.8833, 7.765, 7.6732, 7.5929, 7.5385, 7.4901, 7.4273, 7.3543, 7.2815, 7.2092, 7.1235, 7.0351, 6.938, 6.8276, 6.7068, 6.5917, 6.495, 6.4216, 6.3698, 6.3276, 6.2904, 6.2538, 6.2075, 6.146, 6.0592, 5.95, 5.8202, 5.6705, 5.5117, 5.356, 5.212, 5.1095, 5.046, 4.9945, 4.9367, 4.872, 4.7927, 4.712, 4.6474, 4.571, 4.508, 4.474, 4.4548, 4.437, 4.4425, 4.489, 4.6093, 4.799, 5.0242, 5.2782, 5.6244, 6.1872, 6.9404, 7.7736, 8.7253, 9.8682, 11.099, 12.49, 14.113, 15.674, 17.197, 18.675, 20.243, 21.793, 23.376, 25.036, 26.632, 28.417, 30.119, 31.709, 33.283, 34.914, 36.304, 37.55, 38.774, 39.914, 41.046, 42.119, 42.954, 43.695, 44.385, 44.958, 45.419, 45.802, 46.111, 46.323, 46.53, 46.748, 46.966, 47.151, 47.291, 47.387, 47.493, 47.573, 47.61, 47.652, 47.723, 47.798, 47.88, 47.96, 48.016, 48.067, 48.147, 48.245, 48.347, 48.432, 48.909, 49.366, 49.974, 50.42, 50.79, 51.061, 50.744, 49.742, 49.516, 50.115, 50.945, 51.813, 52.487, 52.411, 52.243, 51.859, 50.372, 47.896, 46.524, 46.688, 47.635, 48.812, 48.922, 48.581, 47.64, 45.359, 41.9, 38.955, 32.801, 23.055, 16.814, 14.975, 14.648, 15.832, 17.98, 20.617, 23.15, 25.381, 27.655, 29.285, 30.674, 31.808, 32.257, 32.579, 32.332, 31.501, 30.48, 28.774, 27.768, 27.65, 27.127, 25.853, 21.605, 13.258, 7.2879, 5.1658, 5.0554, 5.5539, 6.5224, 7.3972, 8.7469, 9.7152, 10.898, 12.315, 13.624, 14.881, 15.76, 16.431, 16.902, 17.09, 17.387, 17.091, 16.356, 15.572, 14.609, 13.389, 12.382, 11.704, 10.618, 9.7125, 8.753, 7.9555, 6.7907, 6.236, 6.2297, 6.0059, 5.7821, 5.5583, 5.3345, 5.1107, 4.8869, 4.6631, 4.4393, 4.2155, 3.9917, 3.7679, 3.5441, 3.3203, 3.0965, 2.8727, 2.6489, 2.4251, 2.2013, 1.9775, 1.7537, 1.5299, 1.3061, 1.0823, 0.8585, 0.8779, 0.8573, 0.8594, 0.8885, 0.8918, 0.9026, 0.9195, 0.9038, 0.937, 0.9616, 0.9639, 0.981, 0.9728, 0.9783, 0.9784, 0.9731, 0.9696, 0.9818, 1.0329, 1.4557, 1.4461, 1.3008, 1.188, 1.2274, 1.5177, 1.3553, 1.3745, 1.3767, 1.3887, 1.4149, 1.4365, 1.4742, 1.4834, 1.5305, 1.5546, 1.5898, 1.6456, 1.6774, 1.739, 1.753, 1.7766, 1.7989, 1.814, 1.8117, 1.8114, 1.8113, 1.815, 1.7896, 1.7893, 1.7926, 1.7815" - }, - "A043": { - "data_entry_person": "Michael Kempe", - "date_entered": "7/28/2025", - "source_title": "PySmarts", - "keywords": "granular, snow", - "file": "GrnlSnow.dat", - "comments": "Taken directly from PySmarts. File dated: 10/18/200, 8:09:22 AM. Data is emperically extrapolated from 280 nm to 300 nm.", - "wavelength_minimum": 280, - "wavelength_maximum": 4002, - "wavelength": "280, 300, 302, 304, 306, 308, 310, 312, 314, 316, 318, 320, 322, 324, 326, 328, 330, 332, 334, 336, 338, 340, 342, 344, 346, 348, 350, 352, 354, 356, 358, 360, 362, 364, 366, 368, 370, 372, 374, 376, 378, 380, 382, 384, 386, 388, 390, 392, 394, 396, 398, 400, 402, 404, 406, 408, 410, 412, 414, 416, 418, 420, 422, 424, 426, 428, 430, 432, 434, 436, 438, 440, 442, 444, 446, 448, 450, 452, 454, 456, 458, 460, 462, 464, 466, 468, 470, 472, 474, 476, 478, 480, 482, 484, 486, 488, 490, 492, 494, 496, 498, 500, 502, 504, 506, 508, 510, 512, 514, 516, 518, 520, 522, 524, 526, 528, 530, 532, 534, 536, 538, 540, 542, 544, 546, 548, 550, 552, 554, 556, 558, 560, 562, 564, 566, 568, 570, 572, 574, 576, 578, 580, 582, 584, 586, 588, 590, 592, 594, 596, 598, 600, 602, 604, 606, 608, 610, 612, 614, 616, 618, 620, 622, 624, 626, 628, 630, 632, 634, 636, 638, 640, 642, 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File dated: 12/31/200, 2:45:30 PM. 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}, - "A049": { - "data_entry_person": "Michael Kempe", - "date_entered": "7/28/2025", - "source_title": "PySmarts", - "keywords": "concrete", - "file": "RConcrte.dat", - "comments": "Taken directly from PySmarts. File dated: 20/03/2004, 8:14:16 PM. Data is emperically extrapolated from 280 nm to 300 nm.", - "wavelength_minimum": 280, - "wavelength_maximum": 4000, - "wavelength": "280, 300, 302, 304, 306, 308, 310, 312, 314, 316, 318, 320, 322, 324, 326, 328, 330, 332, 334, 336, 338, 340, 342, 344, 346, 348, 350, 352, 354, 356, 358, 360, 362, 364, 366, 368, 370, 372, 374, 376, 378, 380, 382, 384, 386, 388, 390, 392, 394, 396, 398, 400, 402, 404, 406, 408, 410, 412, 414, 416, 418, 420, 422, 424, 426, 428, 430, 432, 434, 436, 438, 440, 442, 444, 446, 448, 450, 452, 454, 456, 458, 460, 462, 464, 466, 468, 470, 472, 474, 476, 478, 480, 482, 484, 486, 488, 490, 492, 494, 496, 498, 500, 502, 504, 506, 508, 510, 512, 514, 516, 518, 520, 522, 524, 526, 528, 530, 532, 534, 536, 538, 540, 542, 544, 546, 548, 550, 552, 554, 556, 558, 560, 562, 564, 566, 568, 570, 572, 574, 576, 578, 580, 582, 584, 586, 588, 590, 592, 594, 596, 598, 600, 602, 604, 606, 608, 610, 612, 614, 616, 618, 620, 622, 624, 626, 628, 630, 632, 634, 636, 638, 640, 642, 644, 646, 648, 650, 652, 654, 656, 658, 660, 662, 664, 666, 668, 670, 672, 674, 676, 678, 680, 682, 684, 686, 688, 690, 692, 694, 696, 698, 700, 702, 704, 706, 708, 710, 712, 714, 716, 718, 720, 722, 724, 726, 728, 730, 732, 734, 736, 738, 740, 742, 744, 746, 748, 750, 752, 754, 756, 758, 760, 762, 764, 766, 768, 770, 772, 774, 776, 778, 780, 782, 784, 786, 788, 790, 792, 794, 796, 798, 800, 820, 840, 860, 880, 900, 920, 940, 960, 980, 1000, 1020, 1040, 1060, 1080, 1100, 1120, 1140, 1160, 1180, 1200, 1220, 1240, 1260, 1280, 1300, 1320, 1340, 1360, 1380, 1400, 1420, 1440, 1460, 1480, 1500, 1520, 1540, 1560, 1580, 1600, 1620, 1640, 1660, 1680, 1700, 1720, 1740, 1760, 1780, 1800, 1820, 1840, 1860, 1880, 1900, 1920, 1940, 1960, 1980, 2000, 2020, 2040, 2060, 2080, 2100, 2120, 2140, 2160, 2180, 2200, 2220, 2240, 2260, 2280, 2300, 2320, 2340, 2360, 2380, 2400, 2420, 2440, 2460, 2480, 2500, 2520, 2540, 2560, 2580, 2600, 2620, 2640, 2660, 2680, 2700, 2720, 2740, 2760, 2780, 2800, 2820, 2840, 2860, 2880, 2900, 2920, 2940, 2960, 2980, 3000, 3020, 3040, 3060, 3080, 3100, 3120, 3140, 3160, 3180, 3200, 3220, 3240, 3260, 3280, 3300, 3320, 3340, 3360, 3380, 3400, 3420, 3440, 3460, 3480, 3500, 3520, 3540, 3560, 3580, 3600, 3620, 3640, 3660, 3680, 3700, 3720, 3740, 3760, 3780, 3800, 3820, 3840, 3860, 3880, 3900, 3920, 3940, 3960, 3980, 4000", - "albedo": "6.6, 8.8, 9, 9.2, 9.4, 9.5, 9.7, 9.9, 10, 10.2, 10.4, 10.5, 10.7, 10.8, 11, 11.1, 11.3, 11.4, 11.5, 11.7, 11.8, 11.9, 12, 12.1, 12.2, 12.3, 12.4, 12.5, 12.6, 12.7, 12.8, 12.9, 13, 13.1, 13.2, 13.3, 13.4, 13.5, 13.6, 13.7, 13.9, 14, 14.2, 14.3, 14.5, 14.6, 14.7, 14.9, 15, 15.2, 15.3, 15.4, 15.6, 15.7, 15.8, 15.9, 16.1, 16.2, 16.3, 16.4, 16.6, 16.7, 16.8, 17, 17.1, 17.3, 17.4, 17.6, 17.7, 17.9, 18, 18.2, 18.3, 18.5, 18.6, 18.8, 18.9, 19, 19.1, 19.2, 19.3, 19.4, 19.5, 19.6, 19.7, 19.8, 19.9, 20, 20.1, 20.2, 20.3, 20.4, 20.5, 20.6, 20.7, 20.8, 21, 21.1, 21.2, 21.3, 21.5, 21.6, 21.7, 21.9, 22, 22.1, 22.3, 22.4, 22.6, 22.7, 22.8, 23, 23.1, 23.3, 23.5, 23.6, 23.8, 23.9, 24.1, 24.2, 24.4, 24.5, 24.7, 24.9, 25, 25.2, 25.4, 25.6, 25.7, 25.9, 26.1, 26.3, 26.4, 26.6, 26.8, 26.9, 27.1, 27.3, 27.4, 27.5, 27.7, 27.8, 27.9, 28, 28.1, 28.3, 28.3, 28.4, 28.5, 28.6, 28.7, 28.8, 28.8, 28.9, 29, 29, 29.1, 29.1, 29.2, 29.2, 29.3, 29.3, 29.4, 29.4, 29.4, 29.5, 29.5, 29.6, 29.6, 29.6, 29.7, 29.7, 29.7, 29.8, 29.8, 29.8, 29.9, 29.9, 29.9, 30, 30, 30, 30.1, 30.1, 30.1, 30.2, 30.2, 30.2, 30.3, 30.3, 30.3, 30.4, 30.4, 30.4, 30.5, 30.5, 30.5, 30.5, 30.6, 30.6, 30.6, 30.6, 30.7, 30.7, 30.7, 30.7, 30.8, 30.8, 30.8, 30.8, 30.9, 30.9, 30.9, 30.9, 31, 31, 31, 31, 31, 31, 31.1, 31.1, 31.1, 31.1, 31.1, 31.2, 31.2, 31.2, 31.2, 31.2, 31.2, 31.2, 31.2, 31.3, 31.3, 31.3, 31.3, 31.3, 31.3, 31.3, 31.4, 31.4, 31.4, 31.4, 31.4, 31.4, 31.4, 31.4, 31.4, 31.4, 31.4, 31.4, 31.5, 31.5, 31.6, 31.9, 32.1, 32.2, 32.4, 32.5, 32.6, 32.8, 33, 33.2, 33.4, 33.6, 33.9, 34.1, 34.3, 34.5, 34.7, 34.9, 35.1, 35.3, 35.4, 35.6, 35.8, 35.9, 36.1, 36.3, 36.2, 35.8, 35.6, 36, 36.4, 36.7, 37.1, 37.5, 37.8, 38.2, 38.5, 38.8, 39.1, 39.4, 39.7, 39.9, 40, 40.2, 40.3, 40.4, 40.6, 40.7, 40.8, 40.9, 40.8, 39.5, 36.3, 34.3, 34.7, 35.6, 36.5, 37.5, 38.3, 38.8, 39.1, 39.3, 39.5, 39.8, 39.8, 39.4, 38.9, 38.2, 37.7, 37.4, 36.7, 36.3, 35.9, 35.7, 35, 34.8, 34.5, 33.6, 32.7, 31.6, 30.6, 29.9, 29.7, 29.1, 28.8, 28.9, 28.7, 28.5, 27.8, 27.1, 25.5, 21.5, 14.3, 9.4, 6.3, 5, 4.8, 4.9, 4.9, 4.9, 4.9, 4.9, 4.9, 4.7, 4.6, 4.8, 4.9, 5.2, 5.2, 5, 5.1, 5.3, 5.3, 5.5, 5.5, 5.6, 6.1, 6.4, 6.6, 6.6, 7.1, 7.4, 7.2, 7.5, 7.4, 7.5, 7.3, 7.1, 7.4, 7.5, 7.9, 7.9, 8.3, 9.1, 10.1, 10.7, 10.9, 11.3, 11.6, 12, 12.2, 12.4, 12.4, 12.7, 12.8, 12.8, 12.8, 12.5, 12.1, 11.8, 11.6, 11.6, 11.5, 11.2, 10.6, 9.6, 9.4, 10.3" - }, - "A050": { - "data_entry_person": "Michael Kempe", - "date_entered": "7/28/2025", - "source_title": "PySmarts", - "keywords": "red, brick", - "file": "RedBrick.dat", - "comments": "Taken directly from PySmarts. File dated: 20/03/2004, 8:14:16 PM. Data is emperically extrapolated from 280 nm to 300 nm.", - "wavelength_minimum": 280, - "wavelength_maximum": 4000, - "wavelength": "280, 300, 302, 304, 306, 308, 310, 312, 314, 316, 318, 320, 322, 324, 326, 328, 330, 332, 334, 336, 338, 340, 342, 344, 346, 348, 350, 352, 354, 356, 358, 360, 362, 364, 366, 368, 370, 372, 374, 376, 378, 380, 382, 384, 386, 388, 390, 392, 394, 396, 398, 400, 402, 404, 406, 408, 410, 412, 414, 416, 418, 420, 422, 424, 426, 428, 430, 432, 434, 436, 438, 440, 442, 444, 446, 448, 450, 452, 454, 456, 458, 460, 462, 464, 466, 468, 470, 472, 474, 476, 478, 480, 482, 484, 486, 488, 490, 492, 494, 496, 498, 500, 502, 504, 506, 508, 510, 512, 514, 516, 518, 520, 522, 524, 526, 528, 530, 532, 534, 536, 538, 540, 542, 544, 546, 548, 550, 552, 554, 556, 558, 560, 562, 564, 566, 568, 570, 572, 574, 576, 578, 580, 582, 584, 586, 588, 590, 592, 594, 596, 598, 600, 602, 604, 606, 608, 610, 612, 614, 616, 618, 620, 622, 624, 626, 628, 630, 632, 634, 636, 638, 640, 642, 644, 646, 648, 650, 652, 654, 656, 658, 660, 662, 664, 666, 668, 670, 672, 674, 676, 678, 680, 682, 684, 686, 688, 690, 692, 694, 696, 698, 700, 702, 704, 706, 708, 710, 712, 714, 716, 718, 720, 722, 724, 726, 728, 730, 732, 734, 736, 738, 740, 742, 744, 746, 748, 750, 752, 754, 756, 758, 760, 762, 764, 766, 768, 770, 772, 774, 776, 778, 780, 782, 784, 786, 788, 790, 792, 794, 796, 798, 800, 820, 840, 860, 880, 900, 920, 940, 960, 980, 1000, 1020, 1040, 1060, 1080, 1100, 1120, 1140, 1160, 1180, 1200, 1220, 1240, 1260, 1280, 1300, 1320, 1340, 1360, 1380, 1400, 1420, 1440, 1460, 1480, 1500, 1520, 1540, 1560, 1580, 1600, 1620, 1640, 1660, 1680, 1700, 1720, 1740, 1760, 1780, 1800, 1820, 1840, 1860, 1880, 1900, 1920, 1940, 1960, 1980, 2000, 2020, 2040, 2060, 2080, 2100, 2120, 2140, 2160, 2180, 2200, 2220, 2240, 2260, 2280, 2300, 2320, 2340, 2360, 2380, 2400, 2420, 2440, 2460, 2480, 2500, 2520, 2540, 2560, 2580, 2600, 2620, 2640, 2660, 2680, 2700, 2720, 2740, 2760, 2780, 2800, 2820, 2840, 2860, 2880, 2900, 2920, 2940, 2960, 2980, 3000, 3020, 3040, 3060, 3080, 3100, 3120, 3140, 3160, 3180, 3200, 3220, 3240, 3260, 3280, 3300, 3320, 3340, 3360, 3380, 3400, 3420, 3440, 3460, 3480, 3500, 3520, 3540, 3560, 3580, 3600, 3620, 3640, 3660, 3680, 3700, 3720, 3740, 3760, 3780, 3800, 3820, 3840, 3860, 3880, 3900, 3920, 3940, 3960, 3980, 4000", - "albedo": "2.8, 2.8, 2.8, 2.8, 2.8, 2.8, 2.8, 2.9, 2.9, 2.9, 2.9, 2.8, 2.8, 2.9, 2.9, 2.9, 2.9, 2.9, 2.9, 2.9, 2.9, 2.9, 2.9, 2.9, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3.1, 3.1, 3.1, 3.1, 3.1, 3.1, 3.1, 3.2, 3.2, 3.2, 3.2, 3.2, 3.2, 3.2, 3.3, 3.3, 3.3, 3.3, 3.3, 3.3, 3.4, 3.4, 3.4, 3.4, 3.4, 3.4, 3.5, 3.5, 3.5, 3.5, 3.5, 3.6, 3.6, 3.6, 3.6, 3.7, 3.7, 3.7, 3.7, 3.8, 3.8, 3.8, 3.8, 3.9, 3.9, 3.9, 3.9, 3.9, 4, 4, 4, 4, 4, 4, 4.1, 4.1, 4.1, 4.1, 4.1, 4.2, 4.2, 4.2, 4.2, 4.3, 4.3, 4.3, 4.4, 4.4, 4.4, 4.5, 4.5, 4.6, 4.6, 4.6, 4.7, 4.7, 4.7, 4.8, 4.8, 4.9, 4.9, 5, 5.1, 5.1, 5.2, 5.3, 5.4, 5.5, 5.7, 5.8, 6, 6.1, 6.3, 6.6, 6.8, 7, 7.3, 7.6, 8, 8.3, 8.7, 9.1, 9.5, 9.9, 10.4, 10.9, 11.3, 11.8, 12.3, 12.7, 13.2, 13.6, 14.1, 14.5, 14.8, 15.2, 15.6, 15.9, 16.2, 16.4, 16.7, 16.9, 17.1, 17.3, 17.4, 17.6, 17.7, 17.9, 18, 18.1, 18.2, 18.3, 18.4, 18.5, 18.5, 18.6, 18.7, 18.8, 18.9, 19, 19, 19.1, 19.2, 19.3, 19.4, 19.5, 19.6, 19.7, 19.8, 19.9, 20.1, 20.2, 20.3, 20.4, 20.6, 20.7, 20.8, 21, 21.1, 21.3, 21.4, 21.6, 21.7, 21.9, 22.1, 22.2, 22.4, 22.6, 22.8, 22.9, 23.1, 23.3, 23.5, 23.7, 23.9, 24, 24.2, 24.4, 24.6, 24.7, 24.9, 25.1, 25.2, 25.4, 25.5, 25.7, 25.8, 25.9, 26, 26.1, 26.2, 26.3, 26.4, 26.5, 26.5, 26.6, 26.6, 26.7, 26.7, 26.7, 26.7, 26.8, 26.8, 26.7, 26.7, 26.7, 26.7, 26.7, 26.6, 26.6, 26.5, 26.5, 26.4, 26.4, 26.3, 26.2, 26.1, 26.1, 26, 25.2, 24.5, 24.1, 24.3, 24.8, 25.6, 26.8, 28.5, 30.6, 32.9, 35.4, 37.7, 39.9, 41.8, 43.6, 45.2, 46.7, 47.9, 48.9, 49.7, 50.3, 50.8, 51.2, 51.5, 51.7, 51.9, 52, 52, 52, 51.6, 51.4, 51.7, 51.9, 52.1, 52.2, 52.3, 52.4, 52.5, 52.6, 52.7, 52.9, 53.1, 53.2, 53.4, 53.4, 53.4, 53.4, 53.3, 53.2, 53.2, 53.2, 53.2, 53.2, 52.5, 48.4, 47.9, 49, 50.3, 51.3, 52.4, 53.3, 53.6, 53.7, 53.8, 54, 54.3, 54.3, 54.1, 53.9, 53.8, 53.6, 53.7, 53.8, 53.7, 54, 53.9, 53.9, 53.4, 53, 52.1, 51, 50, 49, 48, 47.4, 46.9, 46.5, 46.2, 46.1, 45.9, 45.5, 44.8, 43.1, 39.5, 33.4, 22.5, 14.6, 12.4, 11.7, 11.4, 11.3, 11.2, 11.1, 11.5, 11.6, 11.6, 11.4, 12.1, 12.8, 13.4, 14, 14.5, 15.1, 15.3, 16.2, 17.3, 18.4, 19.5, 20.8, 21.7, 22.6, 23.8, 24.7, 25.5, 26.5, 27.5, 28.2, 28.6, 28.9, 29.2, 29.5, 30.2, 31.3, 32.1, 32.2, 33.3, 34.3, 34.9, 35.4, 35.8, 36.3, 36.8, 37.2, 37.7, 38, 37.8, 38.1, 38.4, 38.7, 39.1, 39, 38.9, 38.9, 38.7, 38.9, 38.9, 38.8, 38.6, 38.3, 38.2" - }, - "A051": { - "data_entry_person": "Michael Kempe", - "date_entered": "7/28/2025", - "source_title": "PySmarts", - "keywords": "roof, tile", - "file": "RoofTile.dat", - "comments": "Taken directly from PySmarts. File dated: 20/03/2004, 8:14:16 PM. Data is emperically extrapolated from 280 nm to 300 nm.", - "wavelength_minimum": 280, - "wavelength_maximum": 4000, - "wavelength": "280, 300, 302, 304, 306, 308, 310, 312, 314, 316, 318, 320, 322, 324, 326, 328, 330, 332, 334, 336, 338, 340, 342, 344, 346, 348, 350, 352, 354, 356, 358, 360, 362, 364, 366, 368, 370, 372, 374, 376, 378, 380, 382, 384, 386, 388, 390, 392, 394, 396, 398, 400, 402, 404, 406, 408, 410, 412, 414, 416, 418, 420, 422, 424, 426, 428, 430, 432, 434, 436, 438, 440, 442, 444, 446, 448, 450, 452, 454, 456, 458, 460, 462, 464, 466, 468, 470, 472, 474, 476, 478, 480, 482, 484, 486, 488, 490, 492, 494, 496, 498, 500, 502, 504, 506, 508, 510, 512, 514, 516, 518, 520, 522, 524, 526, 528, 530, 532, 534, 536, 538, 540, 542, 544, 546, 548, 550, 552, 554, 556, 558, 560, 562, 564, 566, 568, 570, 572, 574, 576, 578, 580, 582, 584, 586, 588, 590, 592, 594, 596, 598, 600, 602, 604, 606, 608, 610, 612, 614, 616, 618, 620, 622, 624, 626, 628, 630, 632, 634, 636, 638, 640, 642, 644, 646, 648, 650, 652, 654, 656, 658, 660, 662, 664, 666, 668, 670, 672, 674, 676, 678, 680, 682, 684, 686, 688, 690, 692, 694, 696, 698, 700, 702, 704, 706, 708, 710, 712, 714, 716, 718, 720, 722, 724, 726, 728, 730, 732, 734, 736, 738, 740, 742, 744, 746, 748, 750, 752, 754, 756, 758, 760, 762, 764, 766, 768, 770, 772, 774, 776, 778, 780, 782, 784, 786, 788, 790, 792, 794, 796, 798, 800, 820, 840, 860, 880, 900, 920, 940, 960, 980, 1000, 1020, 1040, 1060, 1080, 1100, 1120, 1140, 1160, 1180, 1200, 1220, 1240, 1260, 1280, 1300, 1320, 1340, 1360, 1380, 1400, 1420, 1440, 1460, 1480, 1500, 1520, 1540, 1560, 1580, 1600, 1620, 1640, 1660, 1680, 1700, 1720, 1740, 1760, 1780, 1800, 1820, 1840, 1860, 1880, 1900, 1920, 1940, 1960, 1980, 2000, 2020, 2040, 2060, 2080, 2100, 2120, 2140, 2160, 2180, 2200, 2220, 2240, 2260, 2280, 2300, 2320, 2340, 2360, 2380, 2400, 2420, 2440, 2460, 2480, 2500, 2520, 2540, 2560, 2580, 2600, 2620, 2640, 2660, 2680, 2700, 2720, 2740, 2760, 2780, 2800, 2820, 2840, 2860, 2880, 2900, 2920, 2940, 2960, 2980, 3000, 3020, 3040, 3060, 3080, 3100, 3120, 3140, 3160, 3180, 3200, 3220, 3240, 3260, 3280, 3300, 3320, 3340, 3360, 3380, 3400, 3420, 3440, 3460, 3480, 3500, 3520, 3540, 3560, 3580, 3600, 3620, 3640, 3660, 3680, 3700, 3720, 3740, 3760, 3780, 3800, 3820, 3840, 3860, 3880, 3900, 3920, 3940, 3960, 3980, 4000", - "albedo": "4.8, 5.5, 5.6, 5.6, 5.7, 5.7, 5.8, 5.8, 5.9, 5.9, 6, 6, 6.1, 6.1, 6.2, 6.2, 6.3, 6.3, 6.4, 6.4, 6.5, 6.5, 6.5, 6.6, 6.6, 6.7, 6.7, 6.7, 6.8, 6.8, 6.8, 6.9, 6.9, 7, 7, 7, 7.1, 7.1, 7.2, 7.2, 7.3, 7.3, 7.4, 7.4, 7.5, 7.5, 7.6, 7.6, 7.7, 7.7, 7.8, 7.8, 7.9, 7.9, 7.9, 8, 8, 8.1, 8.1, 8.1, 8.2, 8.2, 8.3, 8.3, 8.3, 8.4, 8.4, 8.5, 8.5, 8.6, 8.6, 8.7, 8.7, 8.7, 8.8, 8.8, 8.8, 8.8, 8.9, 8.9, 8.9, 9, 9, 9, 9.1, 9.1, 9.1, 9.1, 9.2, 9.2, 9.2, 9.2, 9.3, 9.3, 9.3, 9.3, 9.4, 9.4, 9.5, 9.5, 9.6, 9.7, 9.7, 9.8, 9.8, 9.9, 10, 10, 10.1, 10.1, 10.2, 10.2, 10.3, 10.3, 10.4, 10.4, 10.5, 10.6, 10.6, 10.7, 10.7, 10.8, 10.9, 10.9, 11, 11.1, 11.1, 11.2, 11.3, 11.4, 11.5, 11.6, 11.7, 11.8, 11.9, 12, 12.1, 12.2, 12.3, 12.4, 12.5, 12.6, 12.7, 12.8, 12.9, 13, 13.1, 13.2, 13.3, 13.4, 13.4, 13.5, 13.5, 13.6, 13.6, 13.7, 13.7, 13.7, 13.8, 13.8, 13.8, 13.8, 13.9, 13.9, 13.9, 13.9, 13.9, 14, 14, 14, 14, 14, 14, 14, 14, 14, 14.1, 14.1, 14.1, 14.1, 14.1, 14.1, 14.1, 14.1, 14.1, 14.1, 14.2, 14.2, 14.2, 14.2, 14.2, 14.3, 14.3, 14.3, 14.4, 14.5, 14.5, 14.6, 14.7, 14.8, 14.9, 15, 15.1, 15.2, 15.3, 15.3, 15.4, 15.4, 15.5, 15.5, 15.6, 15.6, 15.7, 15.7, 15.7, 15.8, 15.8, 15.8, 15.8, 15.9, 15.9, 15.9, 15.9, 16, 16, 16, 16, 16, 16, 16, 16, 16.1, 16.1, 16.1, 16.1, 16.1, 16.1, 16.1, 16.1, 16.1, 16.1, 16.1, 16.1, 16.2, 16.2, 16.2, 16.2, 16.2, 16.2, 16.2, 16.2, 16.2, 16.2, 16.3, 16.3, 16.4, 16.5, 16.6, 16.7, 16.8, 16.9, 17, 17.1, 17.2, 17.2, 17.3, 17.3, 17.3, 17.4, 17.4, 17.5, 17.5, 17.5, 17.5, 17.6, 17.6, 17.6, 17.6, 17.7, 17.7, 17.7, 17.5, 17.4, 17.5, 17.5, 17.6, 17.7, 17.8, 17.9, 17.9, 18, 18.1, 18.2, 18.2, 18.3, 18.3, 18.4, 18.4, 18.4, 18.4, 18.4, 18.4, 18.5, 18.5, 18.4, 18.2, 17.5, 16.8, 16.7, 17, 17.2, 17.5, 17.7, 17.8, 17.8, 17.8, 17.8, 17.9, 18, 17.8, 17.7, 17.6, 17.6, 17.5, 17.3, 17.4, 17.3, 16.7, 16.6, 16.4, 16.5, 16.4, 16.2, 15.8, 15.5, 15.2, 15, 15.2, 15.2, 15.2, 15.2, 15, 14.9, 14.7, 14.3, 13.4, 10.9, 9.1, 7, 5.4, 4.7, 4.3, 3.9, 3.9, 3.7, 3.5, 3.4, 3.5, 3.6, 3.3, 3.3, 3.5, 3.4, 3.8, 3.7, 3.7, 3.7, 3.9, 3.9, 4.1, 4.3, 4.6, 4.6, 4.9, 5.2, 5.2, 5.2, 5.3, 5.3, 5.4, 5.3, 5.2, 5.3, 5.4, 5.7, 5.6, 6.1, 6.3, 6.7, 7, 7.1, 7.2, 7.6, 7.6, 7.9, 7.9, 8.2, 8.1, 8.3, 8.3, 8.6, 8.7, 8.8, 8.8, 8.8, 8.9, 8.9, 9, 8.9, 8.9, 9.1, 9" - }, - "A052": { - "data_entry_person": "Michael Kempe", - "date_entered": "7/28/2025", - "source_title": "PySmarts", - "keywords": "snow", - "file": "SNOW.dat", - "comments": "Taken directly from PySmarts. File dated: 06/05/2004, 12:12:16 PM. Data is emperically extrapolated from 280 nm to 300 nm.", - "wavelength_minimum": 280, - "wavelength_maximum": 2480, - "wavelength": "280, 300, 310, 320, 330, 340, 350, 360, 370, 380, 390, 400, 410, 420, 430, 440, 450, 460, 470, 480, 490, 500, 510, 520, 530, 540, 550, 560, 570, 580, 590, 600, 610, 620, 630, 640, 650, 660, 670, 680, 690, 700, 710, 720, 730, 740, 750, 760, 770, 780, 790, 800, 810, 820, 830, 840, 850, 860, 870, 880, 890, 900, 910, 920, 930, 940, 950, 960, 970, 980, 990, 1000, 1010, 1020, 1030, 1040, 1050, 1060, 1070, 1080, 1090, 1100, 1110, 1120, 1130, 1140, 1150, 1160, 1170, 1180, 1190, 1200, 1210, 1220, 1230, 1240, 1250, 1260, 1270, 1280, 1290, 1300, 1310, 1320, 1330, 1340, 1350, 1360, 1370, 1380, 1390, 1400, 1410, 1420, 1430, 1440, 1450, 1460, 1470, 1480, 1490, 1500, 1510, 1520, 1530, 1540, 1550, 1560, 1570, 1580, 1590, 1600, 1610, 1620, 1630, 1640, 1650, 1660, 1670, 1680, 1690, 1700, 1710, 1720, 1730, 1740, 1750, 1760, 1770, 1780, 1790, 1800, 1810, 1820, 1830, 1840, 1850, 1860, 1870, 1880, 1890, 1900, 1910, 1920, 1930, 1940, 1950, 1960, 1970, 1980, 1990, 2000, 2010, 2020, 2030, 2040, 2050, 2060, 2070, 2080, 2090, 2100, 2110, 2120, 2130, 2140, 2150, 2160, 2170, 2180, 2190, 2200, 2210, 2220, 2230, 2240, 2250, 2260, 2270, 2280, 2290, 2300, 2310, 2320, 2330, 2340, 2350, 2360, 2370, 2380, 2390, 2400, 2410, 2420, 2430, 2440, 2450, 2460, 2470, 2480", - "albedo": "99, 99, 99, 99, 99, 99, 99, 99, 99, 99, 99, 99, 99, 99, 99, 99, 99, 99, 99, 99, 99, 99, 99, 99, 99, 99, 99, 99, 99, 99, 99, 99, 98.6, 98.2, 98.35, 98.5, 98.3, 98.1, 98.2, 98.3, 98.25, 98.2, 98.25, 98.3, 98.3, 98.3, 98.2, 98.1, 97.5, 96.9, 96.8, 96.7, 96.65, 96.6, 96.6, 96.6, 95.75, 94.9, 94.35, 93.8, 92, 90.2, 90, 89.8, 89.55, 89.3, 88.5, 87.7, 84.9, 82.1, 81.3, 80.5, 79.9, 79.3, 79.2, 79.1, 80.25, 81.4, 82.95, 84.5, 84.5, 84.5, 84.1, 83.7, 82.7, 81.7, 77.5, 73.3, 71.5, 69.7, 66.35, 63, 59.9, 56.8, 55.25, 53.7, 53.45, 53.2, 53.3, 53.4, 53.8, 54.2, 54.35, 54.5, 54.4, 54.3, 53.95, 53.6, 52.75, 51.9, 50.3, 48.7, 42.4, 36.1, 27.95, 19.8, 15.75, 11.7, 8, 4.3, 3.9, 3.5, 3.55, 3.6, 3.8, 4, 4.4, 4.8, 5.45, 6.1, 6.75, 7.4, 8.1, 8.8, 9.3, 9.8, 10.55, 11.3, 12.05, 12.8, 13.45, 14.1, 15.05, 16, 16.5, 17, 17.4, 17.8, 18.45, 19.1, 19.8, 20.5, 21.05, 21.6, 21.85, 22.1, 21.7, 21.3, 18.75, 16.2, 11.8, 7.4, 4.55, 1.7, 1.25, 0.8, 0.8, 0.8, 0.8, 0.8, 0.8, 0.8, 0.8, 0.8, 0.8, 0.8, 0.8, 0.8, 0.85, 0.9, 1.2, 1.5, 1.8, 2.1, 3.35, 4.6, 5.75, 6.9, 8.1, 9.3, 9.95, 10.6, 11.85, 13.1, 13.95, 14.8, 14.95, 15.1, 14.25, 13.4, 12.75, 12.1, 9.85, 7.6, 6.45, 5.3, 4.75, 4.2, 3.85, 3.5, 3.15, 2.8, 2.75, 2.7, 2.7, 2.7, 2.15, 1.6, 1.4, 1.2" - }, - "A053": { - "data_entry_person": "Michael Kempe", - "date_entered": "7/28/2025", - "source_title": "PySmarts", - "keywords": "soil", - "file": "SOIL.dat", - "comments": "Taken directly from PySmarts. File dated: 06/05/2004, 12:12:16 PM. ", - "wavelength_minimum": 280, - "wavelength_maximum": 4000, - "wavelength": "280, 285, 290, 295, 300, 305, 310, 315, 320, 325, 330, 335, 340, 345, 350, 355, 360, 365, 370, 375, 380, 385, 390, 395, 400, 405, 410, 415, 420, 425, 430, 435, 440, 445, 450, 455, 460, 465, 470, 475, 480, 485, 490, 495, 500, 505, 510, 515, 520, 525, 530, 535, 540, 545, 550, 555, 560, 565, 570, 575, 580, 585, 590, 595, 600, 605, 610, 620, 630, 640, 650, 660, 670, 680, 690, 700, 710, 720, 730, 740, 750, 760, 770, 780, 790, 800, 810, 820, 830, 840, 850, 860, 870, 880, 890, 900, 910, 920, 930, 940, 950, 960, 970, 980, 990, 1000, 1050, 1100, 1125, 1150, 1200, 1250, 1300, 1350, 1400, 1450, 1500, 1550, 1600, 1650, 1700, 1750, 1800, 1850, 1900, 1950, 2000, 2100, 2200, 2300, 2400, 2500, 2600, 2700, 2800, 2900, 3000, 3100, 3200, 3300, 3400, 3500, 3600, 3700, 3800, 3900, 4000", - "albedo": "3, 3, 3, 3, 3, 3.1, 3.2, 3.3, 3.4, 3.5, 3.5, 3.6, 3.7, 3.8, 3.9, 4, 4.2, 4.3, 4.5, 4.6, 4.7, 4.9, 5, 5.2, 5.3, 5.5, 5.6, 5.8, 5.9, 6.1, 6.2, 6.4, 6.5, 6.7, 6.8, 7, 7.2, 7.4, 7.6, 7.8, 8, 8.2, 8.4, 8.6, 8.8, 9, 9.2, 9.4, 9.6, 9.8, 9.9, 10.1, 10.3, 10.5, 10.7, 10.9, 11.2, 11.4, 11.6, 11.9, 12.1, 12.3, 12.5, 12.8, 13, 13.3, 13.6, 14.1, 14.7, 15.2, 15.8, 16.2, 16.7, 17.1, 17.6, 18, 18.2, 18.4, 18.7, 18.9, 19.1, 19.5, 19.9, 20.2, 20.6, 21, 21.2, 21.4, 21.5, 21.7, 21.9, 22.1, 22.3, 22.6, 22.8, 23, 23.4, 23.8, 24.3, 24.7, 25.1, 25.5, 25.9, 26.2, 26.6, 27, 27.7, 29.2, 29.6, 29.9, 31, 32.1, 32.5, 31.4, 31, 32.8, 34.3, 35, 35.8, 36.5, 37.2, 37.2, 37.2, 36.5, 33.6, 32.8, 35.8, 36.5, 35, 35.8, 34.3, 33.2, 32.5, 32.5, 32.5, 32.5, 32.5, 32.5, 32.5, 32.5, 32.5, 32.5, 32.5, 32.5, 32.5, 32.5, 32.5" - }, - "A054": { - "data_entry_person": "Michael Kempe", - "date_entered": "7/28/2025", - "source_title": "PySmarts", - "keywords": "solid, ice", - "file": "SolidIce.dat", - "comments": "Taken directly from PySmarts. File dated: 06/05/2004, 12:12:16 PM. Data is emperically extrapolated from 280 nm to 300 nm.", - "wavelength_minimum": 280, - "wavelength_maximum": 4000, - "wavelength": "280, 300, 302, 304, 306, 308, 310, 312, 314, 316, 318, 320, 322, 324, 326, 328, 330, 332, 334, 336, 338, 340, 342, 344, 346, 348, 350, 352, 354, 356, 358, 360, 362, 364, 366, 368, 370, 372, 374, 376, 378, 380, 382, 384, 386, 388, 390, 392, 394, 396, 398, 400, 402, 404, 406, 408, 410, 412, 414, 416, 418, 420, 422, 424, 426, 428, 430, 432, 434, 436, 438, 440, 442, 444, 446, 448, 450, 452, 454, 456, 458, 460, 462, 464, 466, 468, 470, 472, 474, 476, 478, 480, 482, 484, 486, 488, 490, 492, 494, 496, 498, 500, 502, 504, 506, 508, 510, 512, 514, 516, 518, 520, 522, 524, 526, 528, 530, 532, 534, 536, 538, 540, 542, 544, 546, 548, 550, 552, 554, 556, 558, 560, 562, 564, 566, 568, 570, 572, 574, 576, 578, 580, 582, 584, 586, 588, 590, 592, 594, 596, 598, 600, 602, 604, 606, 608, 610, 612, 614, 616, 618, 620, 622, 624, 626, 628, 630, 632, 634, 636, 638, 640, 642, 644, 646, 648, 650, 652, 654, 656, 658, 660, 662, 664, 666, 668, 670, 672, 674, 676, 678, 680, 682, 684, 686, 688, 690, 692, 694, 696, 698, 700, 702, 704, 706, 708, 710, 712, 714, 716, 718, 720, 722, 724, 726, 728, 730, 732, 734, 736, 738, 740, 742, 744, 746, 748, 750, 752, 754, 756, 758, 760, 762, 764, 766, 768, 770, 772, 774, 776, 778, 780, 782, 784, 786, 788, 790, 792, 794, 796, 798, 800, 820, 840, 860, 880, 900, 920, 940, 960, 980, 1000, 1020, 1040, 1060, 1080, 1100, 1120, 1140, 1160, 1180, 1200, 1220, 1240, 1260, 1280, 1300, 1320, 1340, 1360, 1380, 1400, 1420, 1440, 1460, 1480, 1500, 1520, 1540, 1560, 1580, 1600, 1620, 1640, 1660, 1680, 1700, 1720, 1740, 1760, 1780, 1800, 1820, 1840, 1860, 1880, 1900, 1920, 1940, 1960, 1980, 2000, 2020, 2040, 2060, 2080, 2100, 2120, 2140, 2160, 2180, 2200, 2220, 2240, 2260, 2280, 2300, 2320, 2340, 2360, 2380, 2400, 2420, 2440, 2460, 2480, 2500, 2520, 2540, 2560, 2580, 2600, 2620, 2640, 2660, 2680, 2700, 2720, 2740, 2760, 2780, 2800, 2820, 2840, 2860, 2880, 2900, 2920, 2940, 2960, 2980, 3000, 3020, 3040, 3060, 3080, 3100, 3120, 3140, 3160, 3180, 3200, 3220, 3240, 3260, 3280, 3300, 3320, 3340, 3360, 3380, 3400, 3420, 3440, 3460, 3480, 3500, 3520, 3540, 3560, 3580, 3600, 3620, 3640, 3660, 3680, 3700, 3720, 3740, 3760, 3780, 3800, 3820, 3840, 3860, 3880, 3900, 3920, 3940, 3960, 3980, 4000", - "albedo": "2.05, 2.05, 2.04, 2.04, 2.04, 2.03, 2.03, 2.02, 2.02, 2.02, 2.01, 2.01, 2, 2, 2, 1.99, 1.99, 1.99, 1.98, 1.98, 1.97, 1.97, 1.97, 1.96, 1.96, 1.96, 1.95, 1.95, 1.95, 1.95, 1.94, 1.94, 1.94, 1.94, 1.93, 1.93, 1.93, 1.93, 1.92, 1.92, 1.92, 1.92, 1.92, 1.91, 1.91, 1.91, 1.91, 1.9, 1.9, 1.9, 1.9, 1.9, 1.89, 1.89, 1.89, 1.89, 1.89, 1.89, 1.88, 1.88, 1.88, 1.88, 1.88, 1.88, 1.87, 1.87, 1.87, 1.87, 1.87, 1.87, 1.87, 1.87, 1.86, 1.86, 1.86, 1.86, 1.86, 1.86, 1.86, 1.85, 1.85, 1.85, 1.85, 1.85, 1.85, 1.85, 1.85, 1.85, 1.84, 1.84, 1.84, 1.84, 1.84, 1.84, 1.84, 1.84, 1.84, 1.84, 1.83, 1.83, 1.83, 1.83, 1.83, 1.83, 1.83, 1.83, 1.83, 1.83, 1.83, 1.82, 1.82, 1.82, 1.82, 1.82, 1.82, 1.82, 1.82, 1.82, 1.82, 1.82, 1.82, 1.81, 1.81, 1.81, 1.81, 1.81, 1.81, 1.81, 1.81, 1.81, 1.81, 1.81, 1.81, 1.81, 1.81, 1.8, 1.8, 1.8, 1.8, 1.8, 1.8, 1.8, 1.8, 1.8, 1.8, 1.8, 1.8, 1.8, 1.8, 1.8, 1.8, 1.79, 1.79, 1.79, 1.79, 1.79, 1.79, 1.79, 1.79, 1.79, 1.79, 1.79, 1.79, 1.79, 1.79, 1.79, 1.79, 1.79, 1.79, 1.78, 1.78, 1.78, 1.78, 1.78, 1.78, 1.78, 1.78, 1.78, 1.78, 1.78, 1.78, 1.78, 1.78, 1.78, 1.78, 1.78, 1.78, 1.78, 1.78, 1.78, 1.77, 1.77, 1.77, 1.77, 1.77, 1.77, 1.77, 1.77, 1.77, 1.77, 1.77, 1.77, 1.77, 1.77, 1.77, 1.77, 1.77, 1.77, 1.77, 1.77, 1.77, 1.77, 1.77, 1.76, 1.76, 1.76, 1.76, 1.76, 1.76, 1.76, 1.76, 1.76, 1.76, 1.76, 1.76, 1.76, 1.76, 1.76, 1.76, 1.76, 1.76, 1.76, 1.76, 1.76, 1.76, 1.76, 1.76, 1.76, 1.75, 1.75, 1.75, 1.75, 1.75, 1.75, 1.75, 1.75, 1.75, 1.75, 1.75, 1.75, 1.75, 1.75, 1.75, 1.74, 1.74, 1.74, 1.73, 1.73, 1.73, 1.72, 1.72, 1.72, 1.71, 1.71, 1.71, 1.7, 1.7, 1.7, 1.69, 1.69, 1.69, 1.68, 1.68, 1.67, 1.67, 1.67, 1.66, 1.66, 1.65, 1.65, 1.65, 1.64, 1.64, 1.63, 1.63, 1.62, 1.62, 1.62, 1.61, 1.61, 1.6, 1.6, 1.59, 1.59, 1.58, 1.57, 1.57, 1.56, 1.55, 1.55, 1.54, 1.53, 1.53, 1.52, 1.51, 1.5, 1.49, 1.48, 1.47, 1.46, 1.46, 1.45, 1.45, 1.44, 1.43, 1.42, 1.41, 1.4, 1.38, 1.37, 1.36, 1.34, 1.33, 1.31, 1.29, 1.28, 1.26, 1.24, 1.22, 1.2, 1.18, 1.16, 1.14, 1.11, 1.09, 1.06, 1.03, 1, 0.96, 0.93, 0.89, 0.84, 0.79, 0.74, 0.68, 0.62, 0.55, 0.49, 0.41, 0.33, 0.26, 0.18, 0.13, 0.12, 0.18, 0.38, 0.79, 1.45, 2.11, 2.68, 3.37, 4.28, 5.4, 6.69, 8.01, 8.53, 8.45, 8.17, 8.02, 7.84, 7.52, 7.06, 6.55, 6.13, 5.78, 5.41, 5.12, 4.88, 4.66, 4.45, 4.26, 4.09, 3.93, 3.79, 3.65, 3.54, 3.44, 3.34, 3.26, 3.17, 3.11, 3.04, 2.97, 2.92, 2.88, 2.83, 2.78, 2.74, 2.7, 2.66, 2.62, 2.59, 2.56, 2.53, 2.5, 2.48, 2.46, 2.43, 2.41, 2.39, 2.37, 2.35" - } -} +{ + "A000": { + "comments": "The wavelength is in units of [nm] and the albedo is in units of [%]. For consistency, the data should contain wavelengths from at least 280 nm to 400 nm." + }, + "A001": { + "data_entry_person": "Michael Kempe", + "date_entered": "7/28/2025", + "DOI": "10.3390/ijerph15071507", + "source_title": "Ultraviolet Radiation Albedo and Reflectance in Review: The Influence to Ultraviolet Exposure in Occupational Settings", + "authors": "Joanna Turner, Alfio V. Parisi", + "reference": "Turner J, Parisi AV. Ultraviolet Radiation Albedo and Reflectance in Review: The Influence to Ultraviolet Exposure in Occupational Settings. Int J Environ Res Public Health. 2018 Jul 17;15(7):1507.", + "keywords": "snow, 2-cm", + "comments": "Data is emperically extrapolated from 280 nm to 290 nm. Data extracted from Turner et al. Figure 1 as a reference to Feister & Grewe Snow-2cm depth. Feister U., Grewe R. Spectral Albedo Measurements in the UV and Visible Region over Different Types of Surfaces. Photochem. Photobiol. 1995;62:736-744. doi: 10.1111/j.1751-1097.1995.tb08723.x.", + "wavelength_minimum": 289.64676, + "wavelength_maximum": 400.03653, + "wavelength": "280, 289.64676, 295.34714, 300.64557, 305.76126, 311.1693, 314.31183, 316.4677, 319.71985, 321.9123, 324.799, 326.62607, 329.8782, 335.14008, 340.43848, 342.5944, 345.77344, 347.7832, 350.99878, 353.11813, 356.18756, 358.30695, 361.486, 366.78442, 368.8307, 372.19244, 374.20218, 377.30817, 379.46408, 382.5335, 384.8721, 387.79538, 390.09744, 393.13034, 395.39584, 398.53836, 400.03653", + "albedo": "60.5, 61.39394, 61.878788, 62.21212, 62.515152, 62.78788, 62.969696, 63, 63.121212, 63.21212, 63.545456, 63.81818, 63.909092, 64.181816, 64.454544, 64.757576, 65, 65.27273, 65.57576, 65.72727, 65.818184, 65.878784, 66.06061, 66.30303, 66.36364, 66.51515, 66.606064, 66.72727, 66.818184, 66.84849, 66.84849, 66.84849, 66.878784, 66.90909, 66.93939, 67.121216, 67.181816" + }, + "A002": { + "data_entry_person": "Michael Kempe", + "date_entered": "7/28/2025", + "DOI": "10.3390/ijerph15071507", + "source_title": "Ultraviolet Radiation Albedo and Reflectance in Review: The Influence to Ultraviolet Exposure in Occupational Settings", + "authors": "Joanna Turner, Alfio V. Parisi", + "reference": "Turner J, Parisi AV. Ultraviolet Radiation Albedo and Reflectance in Review: The Influence to Ultraviolet Exposure in Occupational Settings. Int J Environ Res Public Health. 2018 Jul 17;15(7):1507.", + "keywords": "snow, ground", + "comments": "Data is emperically extrapolated from 280 nm to 297 nm. Data extracted from Turner et al. Figure 1 as a reference to Doda & Green Snow-Ground. Doda D., Green A. Surface Reflectance Measurements in the UV from an Airborne Platform. Part 1. Appl. Opt. 1980;19:2140-2145. doi: 10.1364/AO.19.002140. Doda D., Green A. Surface Reflectance Measurements in the Ultraviolet from an Airborne Platform. Part 2. Appl. Opt. 1981;20:636-642. doi: 10.1364/AO.20.000636.", + "wavelength_minimum": 297.32034, + "wavelength_maximum": 400.14615, + "wavelength": "280, 297.32034, 300.02435, 301.8514, 305.79782, 310.10962, 313.21558, 317.4543, 322.86237, 329.9513, 331.19366, 339.89038, 343.06943, 350.34103, 360.02435, 369.96347, 380.3776, 386.77222, 390.0609, 400.14615", + "albedo": "20, 29.515152, 28.30303, 29.454546, 28.90909, 34.696968, 36.757576, 39.363636, 39.21212, 38.60606, 41.272728, 40.909092, 42.242424, 42.21212, 40.575756, 43.21212, 43.090908, 43.454544, 43.60606, 39.757576" + }, + "A003": { + "data_entry_person": "Michael Kempe", + "date_entered": "7/28/2025", + "DOI": "10.3390/ijerph15071507", + "source_title": "Ultraviolet Radiation Albedo and Reflectance in Review: The Influence to Ultraviolet Exposure in Occupational Settings", + "authors": "Joanna Turner, Alfio V. Parisi", + "reference": "Turner J, Parisi AV. Ultraviolet Radiation Albedo and Reflectance in Review: The Influence to Ultraviolet Exposure in Occupational Settings. Int J Environ Res Public Health. 2018 Jul 17;15(7):1507.", + "keywords": "snow, 1000ft", + "comments": "Data is emperically extrapolated from 280 nm to 297 nm. Data extracted from Turner et al. Figure 1 as a reference to Doda & Green Snow-1000ft. Doda D., Green A. Surface Reflectance Measurements in the UV from an Airborne Platform. Part 1. Appl. Opt. 1980;19:2140-2145. doi: 10.1364/AO.19.002140. Doda D., Green A. Surface Reflectance Measurements in the Ultraviolet from an Airborne Platform. Part 2. Appl. Opt. 1981;20:636-642. doi: 10.1364/AO.20.000636.", + "wavelength_minimum": 297.4665, + "wavelength_maximum": 400, + "wavelength": "280, 297.4665, 299.73203, 299.8051, 301.96103, 303.5323, 305.5055, 306.63824, 308.0268, 308.9403, 309.96347, 310.95007, 313.32523, 315.84653, 318.22168, 321.1084, 323.59317, 326.1145, 328.34348, 329.9513, 331.04752, 338.1364, 340.0731, 342.92328, 343.98294, 347.56393, 349.68332, 352.42386, 354.76248, 359.6224, 362.3995, 364.92084, 367.296, 369.85385, 372.7771, 375.40805, 377.30817, 379.68332, 382.60657, 385.01828, 387.79538, 390.28015, 392.98416, 396.19977, 398.0268, 399.1961, 400", + "albedo": "22, 31.90909, 27.878788, 27.151516, 26.30303, 28, 29.787878, 31.545454, 33.696968, 35.151516, 36.757576, 36.363636, 36.18182, 36.878788, 37.21212, 36.575756, 36.090908, 35.484848, 35.18182, 34.696968, 38.333332, 41.060608, 41.81818, 42.757576, 42.78788, 40.878788, 40.060608, 39.151516, 38.39394, 36.878788, 37.545456, 38, 38.81818, 39.303032, 40.242424, 41, 41.636364, 42.303032, 42.060608, 41.939392, 41.484848, 41.272728, 40.666668, 40.030304, 39.636364, 39.848484, 40.121212" + }, + "A004": { + "data_entry_person": "Michael Kempe", + "date_entered": "7/28/2025", + "DOI": "10.3390/ijerph15071507", + "source_title": "Ultraviolet Radiation Albedo and Reflectance in Review: The Influence to Ultraviolet Exposure in Occupational Settings", + "authors": "Joanna Turner, Alfio V. Parisi", + "reference": "Turner J, Parisi AV. Ultraviolet Radiation Albedo and Reflectance in Review: The Influence to Ultraviolet Exposure in Occupational Settings. Int J Environ Res Public Health. 2018 Jul 17;15(7):1507.", + "keywords": "green, grass, 850ft", + "comments": "Data is emperically extrapolated from 280 nm to 305 nm. Data extracted from Turner et al. Figure 1 as a reference to Doda & Green Grass-850ft. Doda D., Green A. Surface Reflectance Measurements in the UV from an Airborne Platform. Part 1. Appl. Opt. 1980;19:2140-2145. doi: 10.1364/AO.19.002140. Doda D., Green A. Surface Reflectance Measurements in the Ultraviolet from an Airborne Platform. Part 2. Appl. Opt. 1981;20:636-642. doi: 10.1364/AO.20.000636.", + "wavelength_minimum": 305.97562, + "wavelength_maximum": 400.14633, + "wavelength": "280, 305.97562, 310.18292, 312.67075, 320.2805, 329.97562, 331.36584, 340.07318, 349.95123, 370.14633, 380.17075, 391.36584, 400.14633", + "albedo": "4.8, 4.495134, 3.9111922, 4.178832, 4.233577, 4.6958637, 4.0997567, 4.294404, 3.8199513, 3.7226276, 4.470803, 4.1058393, 3.9476886" + }, + "A005": { + "data_entry_person": "Michael Kempe", + "date_entered": "7/28/2025", + "DOI": "10.3390/ijerph15071507", + "source_title": "Ultraviolet Radiation Albedo and Reflectance in Review: The Influence to Ultraviolet Exposure in Occupational Settings", + "authors": "Joanna Turner, Alfio V. Parisi", + "reference": "Turner J, Parisi AV. Ultraviolet Radiation Albedo and Reflectance in Review: The Influence to Ultraviolet Exposure in Occupational Settings. Int J Environ Res Public Health. 2018 Jul 17;15(7):1507.", + "keywords": "grass, lawn", + "comments": "Data is emperically extrapolated from 280 nm to 290 nm. Data extracted from Turner et al. Figure 1 as a reference to Feister & Grewe Grass-Lawn. Feister U., Grewe R. Spectral Albedo Measurements in the UV and Visible Region over Different Types of Surfaces. Photochem. Photobiol. 1995;62:736-744. doi: 10.1111/j.1751-1097.1995.tb08723.x.", + "wavelength_minimum": 289.84146, + "wavelength_maximum": 400.2927, + "wavelength": "280, 289.84146, 293.2805, 297.30487, 300.81708, 305.86584, 308.4634, 310.9878, 313.43903, 317.86584, 322.9878, 329.42682, 334.10974, 337.5122, 342.56097, 349.91464, 352.9878, 358.2927, 363.85367, 370.95123, 375.52438, 382.40244, 387.9634, 392.57318, 400.2927", + "albedo": "1.9, 2.0742092, 2.1532848, 2.2201946, 2.3053527, 2.3600974, 2.3722627, 2.408759, 2.4574208, 2.5547445, 2.6216545, 2.6885645, 2.7554746, 2.83455, 2.9318736, 3.096107, 3.1265206, 3.163017, 3.2360098, 3.296837, 3.4002433, 3.5279806, 3.6374695, 3.7287104, 3.892944" + }, + "A006": { + "data_entry_person": "Michael Kempe", + "date_entered": "7/28/2025", + "DOI": "10.3390/ijerph15071507", + "source_title": "Ultraviolet Radiation Albedo and Reflectance in Review: The Influence to Ultraviolet Exposure in Occupational Settings", + "authors": "Joanna Turner, Alfio V. Parisi", + "reference": "Turner J, Parisi AV. Ultraviolet Radiation Albedo and Reflectance in Review: The Influence to Ultraviolet Exposure in Occupational Settings. Int J Environ Res Public Health. 2018 Jul 17;15(7):1507.", + "keywords": "grass", + "comments": "Data is emperically extrapolated from 280 nm to 300 nm. Data extracted from Turner et al. Figure 1 as a reference to Diffey et al Grass. Diffey B., Green A.T., Loftus M.J., Johnson G.J., Lee P.S. A Portable Instrument for Measuring Ground Reflectance in the Ultraviolet. Photochem. Photobiol. 1995;61:68-70. doi: 10.1111/j.1751-1097.1995.tb09244.x.", + "wavelength_minimum": 299.97562, + "wavelength_maximum": 400.2195, + "DayOfYear": 1, + "wavelength": "280, 299.97562, 308.4634, 313.87805, 319.10974, 324.34146, 329.5366, 334.84146, 340.18292, 345.41464, 349.73172, 350.60974, 353.2073, 355.84146, 358, 360.92682, 364.2927, 366.34146, 370.58536, 375.37805, 380.35367, 385.76828, 391.2195, 396.59756, 400.2195", + "albedo": "1.5, 1.9647202, 2.1532848, 2.256691, 2.3600974, 2.4635036, 2.4939172, 2.481752, 2.4878345, 2.4695864, 2.481752, 2.4878345, 2.5364964, 2.6034064, 2.6520681, 2.6946473, 2.7858882, 2.8223844, 2.919708, 3.0048661, 3.1021898, 3.2116787, 3.3150852, 3.4124088, 3.5036497" + }, + "A007": { + "data_entry_person": "Michael Kempe", + "date_entered": "7/28/2025", + "DOI": "10.3390/ijerph15071507", + "source_title": "Ultraviolet Radiation Albedo and Reflectance in Review: The Influence to Ultraviolet Exposure in Occupational Settings", + "authors": "Joanna Turner, Alfio V. Parisi", + "reference": "Turner J, Parisi AV. Ultraviolet Radiation Albedo and Reflectance in Review: The Influence to Ultraviolet Exposure in Occupational Settings. Int J Environ Res Public Health. 2018 Jul 17;15(7):1507.", + "keywords": "grass", + "comments": "Data is emperically extrapolated from 280 nm to 290 nm. Data extracted from Turner et al. Figure 1 as a reference to Feister & Grewe Grass-Grass. Feister U., Grewe R. Spectral Albedo Measurements in the UV and Visible Region over Different Types of Surfaces. Photochem. Photobiol. 1995;62:736-744. doi: 10.1111/j.1751-1097.1995.tb08723.x.", + "wavelength_minimum": 299.97562, + "wavelength_maximum": 400.2195, + "wavelength": "280, 299.97562, 308.4634, 313.87805, 319.10974, 324.34146, 329.5366, 334.84146, 340.18292, 345.41464, 349.73172, 350.60974, 353.2073, 355.84146, 358, 360.92682, 364.2927, 366.34146, 370.58536, 375.37805, 380.35367, 385.76828, 391.2195, 396.59756, 400.2195", + "albedo": "1.5, 1.9647202, 2.1532848, 2.256691, 2.3600974, 2.4635036, 2.4939172, 2.481752, 2.4878345, 2.4695864, 2.481752, 2.4878345, 2.5364964, 2.6034064, 2.6520681, 2.6946473, 2.7858882, 2.8223844, 2.919708, 3.0048661, 3.1021898, 3.2116787, 3.3150852, 3.4124088, 3.5036497" + }, + "A008": { + "data_entry_person": "Michael Kempe", + "date_entered": "7/28/2025", + "DOI": "10.3390/ijerph15071507", + "source_title": "Ultraviolet Radiation Albedo and Reflectance in Review: The Influence to Ultraviolet Exposure in Occupational Settings", + "authors": "Joanna Turner, Alfio V. Parisi", + "reference": "Turner J, Parisi AV. Ultraviolet Radiation Albedo and Reflectance in Review: The Influence to Ultraviolet Exposure in Occupational Settings. Int J Environ Res Public Health. 2018 Jul 17;15(7):1507.", + "keywords": "grass", + "comments": "Data is emperically extrapolated from 280 nm to 299.8 nm. Data extracted from Turner et al. Figure 1 as a reference to McKenzie et al Grass. McKenzie R.L., Kotkamp M., Ireland W. Upwelling UV Spectral Irradiances and Surface Albedo Measurements at Lauder, New Zealand. Geophys. Res. Lett. 1996;23:1757-1760. doi: 10.1029/96GL01668.", + "wavelength_minimum": 299.7561, + "wavelength_maximum": 400.2195, + "DayOfYear": 200, + "wavelength": "280, 299.7561, 310.91464, 318.26828, 327.04877, 339.52438, 348.19513, 356.86584, 362.2805, 369.34146, 376.40244, 381.4878, 386.82925, 391.95123, 396.15854, 398.93903, 400.2195", + "albedo": "1, 1.082725, 1.1435523, 1.1557177, 1.1982968, 1.283455, 1.2773722, 1.3199513, 1.3564477, 1.3868613, 1.4294404, 1.5085158, 1.6301703, 1.7457421, 1.8613138, 1.9586375, 2.013382" + }, + "A009": { + "data_entry_person": "Michael Kempe", + "date_entered": "7/28/2025", + "DOI": "10.3390/ijerph15071507", + "source_title": "Ultraviolet Radiation Albedo and Reflectance in Review: The Influence to Ultraviolet Exposure in Occupational Settings", + "authors": "Joanna Turner, Alfio V. Parisi", + "reference": "Turner J, Parisi AV. Ultraviolet Radiation Albedo and Reflectance in Review: The Influence to Ultraviolet Exposure in Occupational Settings. Int J Environ Res Public Health. 2018 Jul 17;15(7):1507.", + "keywords": "grass", + "comments": "Data is emperically extrapolated from 280 nm to 304 nm. Data extracted from Turner et al. Figure 1 as a reference to Webb et al Grass. Webb A., Stromberg I., Li H., Bartlett L. Airborne Spectral Measurements of Surface Reflectivity at Ultraviolet and Visible Wavelengths. J. Geophys. Res. 2000;105:4945-4948. doi: 10.1029/1999JD900813.", + "wavelength_minimum": 304.95123, + "wavelength_maximum": 400.14633, + "wavelength": "280, 304.95123, 314.82925, 339.0122, 370.47562, 376.69513, 385.9878, 389.4634, 392.7195, 394.87805, 400.14633", + "albedo": "0, 0, 0.99148417, 0.973236, 0.97931874, 1.0097324, 1.4111922, 1.459854, 1.5510949, 1.5815085, 1.5997567" + }, + "A010": { + "data_entry_person": "Michael Kempe", + "date_entered": "7/28/2025", + "DOI": "10.3390/ijerph15071507", + "source_title": "Ultraviolet Radiation Albedo and Reflectance in Review: The Influence to Ultraviolet Exposure in Occupational Settings", + "authors": "Joanna Turner, Alfio V. Parisi", + "reference": "Turner J, Parisi AV. Ultraviolet Radiation Albedo and Reflectance in Review: The Influence to Ultraviolet Exposure in Occupational Settings. Int J Environ Res Public Health. 2018 Jul 17;15(7):1507.", + "keywords": "gypsum A", + "comments": "Data is emperically extrapolated from 280 nm to 298 nm and from 390 nm to 400 nm. Data is emperically extrapolated from 280 nm to 297 nm. Data extracted from Turner et al. Figure 1 as a reference to Doda & Green Soil-Gypsum A. Doda D., Green A. Surface Reflectance Measurements in the UV from an Airborne Platform. Part 1. Appl. Opt. 1980;19:2140-2145. doi: 10.1364/AO.19.002140. Doda D., Green A. Surface Reflectance Measurements in the Ultraviolet from an Airborne Platform. Part 2. Appl. Opt. 1981;20:636-642. doi: 10.1364/AO.20.000636.", + "wavelength_minimum": 297.58365, + "wavelength_maximum": 390.03717, + "wavelength": "280, 297.58365, 300.2974, 301.74722, 303.829, 305.94797, 309.8513, 312.41635, 314.31226, 317.24908, 319.96283, 323.7918, 327.10037, 329.96283, 331.26395, 338.28998, 340.81784, 343.27136, 345.79926, 348.1041, 350.855, 352.9368, 354.64685, 357.99255, 362.23047, 366.69144, 371.52417, 375.1673, 379.10782, 383.27136, 390.03717, 400", + "albedo": "5, 16.73913, 19.782608, 21.89441, 23.043478, 24.099379, 27.142857, 27.298136, 28.757765, 31.086956, 30.093168, 33.757763, 36.801243, 39.53416, 39.09938, 43.1677, 44.47205, 45.714287, 47.080746, 48.447205, 49.93789, 50.31056, 50.93168, 51.614906, 52.236023, 52.857143, 53.54037, 53.78882, 53.975155, 54.037266, 54.347828, 58.63354" + }, + "A011": { + "data_entry_person": "Michael Kempe", + "date_entered": "7/28/2025", + "DOI": "10.3390/ijerph15071507", + "source_title": "Ultraviolet Radiation Albedo and Reflectance in Review: The Influence to Ultraviolet Exposure in Occupational Settings", + "authors": "Joanna Turner, Alfio V. Parisi", + "reference": "Turner J, Parisi AV. Ultraviolet Radiation Albedo and Reflectance in Review: The Influence to Ultraviolet Exposure in Occupational Settings. Int J Environ Res Public Health. 2018 Jul 17;15(7):1507.", + "keywords": "gypsum B", + "comments": "Data is emperically extrapolated from 280 nm to 298 nm and from 396 nm to 400 nm. Data extracted from Turner et al. Figure 1 as a reference to Doda & Green Soil-Gypsum B. Doda D., Green A. Surface Reflectance Measurements in the UV from an Airborne Platform. Part 1. Appl. Opt. 1980;19:2140-2145. doi: 10.1364/AO.19.002140. Doda D., Green A. Surface Reflectance Measurements in the Ultraviolet from an Airborne Platform. Part 2. Appl. Opt. 1981;20:636-642. doi: 10.1364/AO.20.000636.", + "wavelength_minimum": 297.43494, + "wavelength_maximum": 396.2082, + "wavelength": "280, 297.43494, 300.2974, 301.11523, 301.63568, 302.71375, 304.8327, 305.79926, 307.4721, 309.18216, 309.8885, 312.00745, 313.86618, 315.98514, 317.62082, 320.03717, 320.4461, 322.71375, 325.09293, 327.43494, 329.92566, 332.0818, 334.75836, 336.95166, 339.66544, 341.85873, 344.2751, 346.35687, 348.8476, 351.1896, 353.75464, 356.05948, 358.58737, 360.92938, 363.94052, 366.28253, 369.07062, 371.56134, 374.31226, 376.50558, 379.4052, 381.52417, 384.31226, 386.50558, 391.41263, 396.2082, 400", + "albedo": "5, 16.490683, 18.229815, 19.906832, 21.273293, 21.645964, 22.142857, 22.173914, 23.32298, 24.658384, 25.093168, 24.93789, 26.149069, 27.701864, 28.881989, 28.819876, 29.037268, 29.968945, 31.0559, 31.987577, 32.95031, 32.919254, 33.757763, 34.47205, 35.31056, 36.273293, 37.48447, 38.54037, 39.720497, 40.652172, 41.335403, 41.95652, 42.701862, 43.074535, 43.10559, 43.35404, 43.35404, 43.913044, 44.68944, 45.186337, 45.93168, 46.708073, 47.670807, 48.41615, 50.15528, 52.04969, 53.726707" + }, + "A012": { + "data_entry_person": "Michael Kempe", + "date_entered": "7/28/2025", + "DOI": "10.3390/ijerph15071507", + "source_title": "Ultraviolet Radiation Albedo and Reflectance in Review: The Influence to Ultraviolet Exposure in Occupational Settings", + "authors": "Joanna Turner, Alfio V. Parisi", + "reference": "Turner J, Parisi AV. Ultraviolet Radiation Albedo and Reflectance in Review: The Influence to Ultraviolet Exposure in Occupational Settings. Int J Environ Res Public Health. 2018 Jul 17;15(7):1507.", + "keywords": "soil", + "comments": "Data is emperically extrapolated from 280 nm to 290 nm and from 397 to 400 nm. Data extracted from Turner et al. Figure 1 as a reference to Feister & Grewe Soil. Feister U., Grewe R. Spectral Albedo Measurements in the UV and Visible Region over Different Types of Surfaces. Photochem. Photobiol. 1995;62:736-744. doi: 10.1111/j.1751-1097.1995.tb08723.x.", + "wavelength_minimum": 289.81412, + "wavelength_maximum": 397.28625, + "wavelength": "280, 289.81412, 295.7621, 302.71375, 306.3197, 310.22305, 312.89963, 317.73233, 321.97025, 326.65427, 331.44983, 336.80298, 341.82156, 346.50558, 350.855, 355.35315, 360.78067, 365.2788, 370.26022, 375.20447, 378.8104, 382.78812, 386.4312, 389.4052, 392.26767, 394.8699, 397.28625, 400", + "albedo": "11.3, 12.57764, 13.26087, 14.006211, 14.285714, 14.844721, 15.093167, 15.652174, 16.180124, 16.770185, 17.236025, 17.826086, 18.291925, 18.819876, 19.31677, 19.720497, 20, 20.434782, 20.838509, 21.490683, 21.987577, 22.236025, 22.546583, 22.826086, 23.074533, 23.41615, 23.509317, 23.850931" + }, + "A013": { + "data_entry_person": "Michael Kempe", + "date_entered": "7/28/2025", + "DOI": "10.3390/ijerph15071507", + "source_title": "Ultraviolet Radiation Albedo and Reflectance in Review: The Influence to Ultraviolet Exposure in Occupational Settings", + "authors": "Joanna Turner, Alfio V. Parisi", + "reference": "Turner J, Parisi AV. Ultraviolet Radiation Albedo and Reflectance in Review: The Influence to Ultraviolet Exposure in Occupational Settings. Int J Environ Res Public Health. 2018 Jul 17;15(7):1507.", + "keywords": "sand, coarse, yellow", + "comments": "Data is emperically extrapolated from 280 nm to 300 nm and from 398 nm to 400 nm. Data extracted from Turner et al. Figure 1 as a reference to Diffey et al Sand Coarse Yellow. Diffey B., Green A.T., Loftus M.J., Johnson G.J., Lee P.S. A Portable Instrument for Measuring Ground Reflectance in the Ultraviolet. Photochem. Photobiol. 1995;61:68-70. doi: 10.1111/j.1751-1097.1995.tb09244.x.", + "wavelength_minimum": 299.66544, + "wavelength_maximum": 397.99255, + "wavelength": "280, 299.66544, 308.25278, 313.60596, 315.98514, 318.8476, 321.1896, 324.05203, 329.4052, 334.64685, 340, 342.23047, 345.1673, 347.58365, 350.52045, 355.79926, 358.2156, 363.30856, 368.6617, 371.5985, 373.9777, 376.95166, 379.29367, 382.15613, 384.38663, 387.4721, 389.81412, 392.6394, 395.1301, 397.99255, 400", + "albedo": "8.3, 7.9813666, 7.826087, 7.6397514, 7.6086955, 7.6397514, 7.5155277, 7.4223604, 7.3602486, 7.3291926, 7.173913, 7.111801, 7.0496893, 6.9875774, 6.9875774, 7.111801, 7.142857, 7.173913, 7.2981367, 7.3913045, 7.4223604, 7.4223604, 7.5465837, 7.6086955, 7.6708074, 7.7018633, 7.732919, 7.795031, 7.919255, 7.888199, 7.919255" + }, + "A014": { + "data_entry_person": "Michael Kempe", + "date_entered": "7/28/2025", + "DOI": "10.3390/ijerph15071507", + "source_title": "Ultraviolet Radiation Albedo and Reflectance in Review: The Influence to Ultraviolet Exposure in Occupational Settings", + "authors": "Joanna Turner, Alfio V. Parisi", + "reference": "Turner J, Parisi AV. Ultraviolet Radiation Albedo and Reflectance in Review: The Influence to Ultraviolet Exposure in Occupational Settings. Int J Environ Res Public Health. 2018 Jul 17;15(7):1507.", + "keywords": "soil, dessert", + "comments": "Data is emperically extrapolated from 280 nm to 304 nm and from 395 to 400 nm. Data extracted from Turner et al. Figure 1 as a reference to Doda & Green Soil-desert. Doda D., Green A. Surface Reflectance Measurements in the UV from an Airborne Platform. Part 1. Appl. Opt. 1980;19:2140-2145. doi: 10.1364/AO.19.002140. Doda D., Green A. Surface Reflectance Measurements in the Ultraviolet from an Airborne Platform. Part 2. Appl. Opt. 1981;20:636-642. doi: 10.1364/AO.20.000636.", + "wavelength_minimum": 304.08923, + "wavelength_maximum": 395.1673, + "wavelength": "280, 304.08923, 307.1747, 309.21933, 311.0409, 313.5316, 316.39404, 319.92566, 321.67285, 323.19702, 325.05576, 326.95166, 330, 332.15613, 333.75464, 337.5093, 339.66544, 341.11523, 343.9777, 346.3197, 349.18216, 352.89963, 354.46097, 359.81412, 364.90707, 368.58737, 370.1487, 375.65054, 379.36804, 380.855, 384.5353, 388.32715, 389.77695, 393.3829, 395.1673, 400", + "albedo": "3.5, 4.068323, 3.9130435, 3.8198757, 3.9440994, 3.9751554, 4.409938, 4.409938, 4.4720497, 4.5341616, 4.689441, 4.720497, 4.8447204, 5.2173915, 5.3416147, 5.5279503, 5.652174, 5.4347825, 5.1242237, 5.1863356, 5.3726707, 5.5279503, 5.559006, 5.8074536, 5.7763977, 5.7763977, 5.8074536, 5.931677, 6.0248446, 6.0248446, 6.273292, 6.552795, 6.7080746, 6.9875774, 7.080745, 7.5155277" + }, + "A015": { + "data_entry_person": "Michael Kempe", + "date_entered": "7/28/2025", + "DOI": "10.3390/ijerph15071507", + "source_title": "Ultraviolet Radiation Albedo and Reflectance in Review: The Influence to Ultraviolet Exposure in Occupational Settings", + "authors": "Joanna Turner, Alfio V. Parisi", + "reference": "Turner J, Parisi AV. Ultraviolet Radiation Albedo and Reflectance in Review: The Influence to Ultraviolet Exposure in Occupational Settings. Int J Environ Res Public Health. 2018 Jul 17;15(7):1507.", + "keywords": "earth, loam", + "comments": "Data is emperically extrapolated from 280 nm to 290 nm and from 397 nm to 400 nm. Data extracted from Turner et al. Figure 1 as a reference to Feister & Grewe Earth-loam. Feister U., Grewe R. Spectral Albedo Measurements in the UV and Visible Region over Different Types of Surfaces. Photochem. Photobiol. 1995;62:736-744. doi: 10.1111/j.1751-1097.1995.tb08723.x.", + "wavelength_minimum": 289.77158, + "wavelength_maximum": 397.2916, + "wavelength": "280, 289.77158, 295.61307, 300.52426, 306.25385, 311.537, 317.37787, 323.70255, 328.31573, 332.2967, 335.2359, 339.21683, 344.3511, 349.07614, 353.87552, 358.8236, 364.92505, 370.69162, 375.82562, 382.89432, 387.99103, 392.86453, 397.2916, 400", + "albedo": "3.4, 3.8857703, 3.9855063, 4.1037335, 4.277807, 4.427052, 4.694074, 4.936363, 5.1413007, 5.259432, 5.346476, 5.4708033, 5.632424, 5.781611, 5.949393, 6.148169, 6.384239, 6.6202745, 6.856245, 7.141981, 7.402731, 7.651066, 7.8745713, 7.973892" + }, + "A016": { + "data_entry_person": "Michael Kempe", + "date_entered": "7/28/2025", + "DOI": "10.3390/ijerph15071507", + "source_title": "Ultraviolet Radiation Albedo and Reflectance in Review: The Influence to Ultraviolet Exposure in Occupational Settings", + "authors": "Joanna Turner, Alfio V. Parisi", + "reference": "Turner J, Parisi AV. Ultraviolet Radiation Albedo and Reflectance in Review: The Influence to Ultraviolet Exposure in Occupational Settings. Int J Environ Res Public Health. 2018 Jul 17;15(7):1507.", + "keywords": "dark, brown, soil", + "comments": "Data is emperically extrapolated from 280 nm to 290 nm and from 397 nm to 400 nm. Data extracted from Turner et al. Figure 1 as a reference to Diffey et al Earth-dark brown soil. Diffey B., Green A.T., Loftus M.J., Johnson G.J., Lee P.S. A Portable Instrument for Measuring Ground Reflectance in the Ultraviolet. Photochem. Photobiol. 1995;61:68-70. doi: 10.1111/j.1751-1097.1995.tb09244.x.", + "wavelength_minimum": 289.65994, + "wavelength_maximum": 397.37692, + "wavelength": "280, 289.65994, 295.9479, 302.86716, 303.76108, 305.84424, 307.9282, 312.02142, 313.9551, 317.67758, 321.13834, 322.92453, 325.60376, 329.4363, 334.3851, 336.98978, 339.89206, 342.23627, 345.06415, 347.66885, 350.4223, 352.80353, 355.55685, 357.52872, 360.57968, 363.14694, 365.677, 368.39307, 370.92303, 373.56476, 376.05753, 378.84808, 381.4153, 384.243, 386.2522, 389.41473, 391.16342, 394.6981, 397.37692, 400", + "albedo": "3.5, 3.8857589, 3.9979324, 4.444744, 4.2032003, 4.35831, 4.290372, 4.241228, 4.557413, 4.1426797, 4.0686874, 4.0255013, 3.988603, 3.988999, 4.0019016, 3.9959748, 4.00247, 3.9965165, 4.0030046, 3.9908817, 4.0035577, 4.047174, 4.090829, 4.1529903, 4.209068, 4.258899, 4.302531, 4.3585734, 4.4269886, 4.4706316, 4.532847, 4.5765057, 4.632533, 4.688587, 4.719774, 4.788254, 4.825609, 4.8879323, 4.9439707, 4.999998" + }, + "A017": { + "data_entry_person": "Michael Kempe", + "date_entered": "7/28/2025", + "DOI": "10.3390/ijerph15071507", + "source_title": "Ultraviolet Radiation Albedo and Reflectance in Review: The Influence to Ultraviolet Exposure in Occupational Settings", + "authors": "Joanna Turner, Alfio V. Parisi", + "reference": "Turner J, Parisi AV. Ultraviolet Radiation Albedo and Reflectance in Review: The Influence to Ultraviolet Exposure in Occupational Settings. Int J Environ Res Public Health. 2018 Jul 17;15(7):1507.", + "keywords": "snow", + "comments": "Data is emperically extrapolated from 280 nm to 309 nm. Data extracted from Turner et al. Figure 1 as a reference to Grenfell et al Snow. Grenfell T.C., Warren S.G., Mullen P.C. Reflection of Solar Radiation by the Antarctic Snow Surface at Ultraviolet, Visible and near-Infrared Wavelengths. J. Geophys. Res. 1994;99:18669-18684. doi: 10.1029/94JD01484.", + "wavelength_minimum": 309.52496, + "wavelength_maximum": 400.10962, + "wavelength": "280, 309.52496, 317.4543, 322.86237, 328.19733, 333.34958, 338.61145, 341.7174, 346.94275, 352.57004, 358.6358, 361.4129, 366.419, 370.10962, 374.7503, 377.12546, 380.81607, 384.17783, 386.40683, 389.29355, 391.44946, 393.05725, 395.90744, 398.35565, 400.10962", + "albedo": "96.9, 97.15151, 97.21212, 97.27273, 97.27273, 97.27273, 97.242424, 97.42424, 97.57576, 97.757576, 97.818184, 97.818184, 97.78788, 97.666664, 97.666664, 97.63636, 97.666664, 97.78788, 97.90909, 98, 98.06061, 98.06061, 98.06061, 98.030304, 97.969696" + }, + "A018": { + "data_entry_person": "Michael Kempe", + "date_entered": "7/28/2025", + "DOI": "10.3390/ijerph15071507", + "source_title": "Ultraviolet Radiation Albedo and Reflectance in Review: The Influence to Ultraviolet Exposure in Occupational Settings", + "authors": "Joanna Turner, Alfio V. Parisi", + "reference": "Turner J, Parisi AV. Ultraviolet Radiation Albedo and Reflectance in Review: The Influence to Ultraviolet Exposure in Occupational Settings. Int J Environ Res Public Health. 2018 Jul 17;15(7):1507.", + "keywords": "snow, 5cm depth", + "comments": "Data is emperically extrapolated from 280 nm to 290 nm. Data extracted from Turner et al. Figure 1 as a reference to Feister & Grewe Snow-5cm depth. Feister U., Grewe R. Spectral Albedo Measurements in the UV and Visible Region over Different Types of Surfaces. Photochem. Photobiol. 1995;62:736-744. doi: 10.1111/j.1751-1097.1995.tb08723.x.", + "wavelength_minimum": 289.5737, + "wavelength_maximum": 400.10962, + "wavelength": "280, 289.5737, 292.93546, 295.9318, 298.85504, 301.486, 305.94397, 310.36542, 315.7369, 320.63336, 326.07794, 330.71863, 335.21317, 339.85385, 348.3313, 360.38977, 371.42508, 379.71985, 385.16443, 391.08405, 400.10962", + "albedo": "74.5, 75.36364, 75.666664, 75.93939, 76.21212, 76.333336, 76.30303, 76.42424, 76.606064, 76.84849, 77.21212, 77.42424, 77.90909, 78.42424, 78.93939, 79.57576, 80.21212, 80.545456, 80.757576, 80.93939, 81.57576" + }, + "A019": { + "data_entry_person": "Michael Kempe", + "date_entered": "7/28/2025", + "DOI": "10.3390/ijerph15071507", + "source_title": "Ultraviolet Radiation Albedo and Reflectance in Review: The Influence to Ultraviolet Exposure in Occupational Settings", + "authors": "Joanna Turner, Alfio V. Parisi", + "reference": "Turner J, Parisi AV. Ultraviolet Radiation Albedo and Reflectance in Review: The Influence to Ultraviolet Exposure in Occupational Settings. Int J Environ Res Public Health. 2018 Jul 17;15(7):1507.", + "keywords": "concrete, wet", + "comments": "Data is emperically extrapolated from 280 nm to 300 nm and from 397nm to 400 nm. Data extracted from Turner et al. Figure 2 as a reference to Feister & Grewe - concrete wet. Feister U., Grewe R. Spectral Albedo Measurements in the UV and Visible Region over Different Types of Surfaces. Photochem. Photobiol. 1995;62:736-744. doi: 10.1111/j.1751-1097.1995.tb08723.x.", + "wavelength_minimum": 299.66586, + "wavelength_maximum": 396.5155, + "wavelength": "280, 299.66586, 305.29834, 310.5012, 313.03104, 315.84726, 318.66348, 320.95465, 324.20047, 326.253, 328.92603, 331.5513, 334.31982, 336.611, 339.76132, 344.821, 347.20764, 349.97614, 351.88544, 356.70645, 361.62292, 366.49164, 373.9857, 375.99045, 378.99762, 383.9141, 386.34845, 394.12888, 396.5155, 400", + "albedo": "13.9, 14.00239, 14.066109, 14.105934, 14.121863, 14.145759, 14.185583, 14.217443, 14.249303, 14.313023, 14.416567, 14.480287, 14.567902, 14.663481, 14.75906, 14.950219, 15.005974, 15.117483, 15.268817, 15.635205, 16.009558, 16.360016, 16.949423, 17.076862, 17.180407, 17.3636, 17.459179, 17.777779, 17.873358, 18.02469" + }, + "A020": { + "data_entry_person": "Michael Kempe", + "date_entered": "7/28/2025", + "DOI": "10.3390/ijerph15071507", + "source_title": "Ultraviolet Radiation Albedo and Reflectance in Review: The Influence to Ultraviolet Exposure in Occupational Settings", + "authors": "Joanna Turner, Alfio V. Parisi", + "reference": "Turner J, Parisi AV. Ultraviolet Radiation Albedo and Reflectance in Review: The Influence to Ultraviolet Exposure in Occupational Settings. Int J Environ Res Public Health. 2018 Jul 17;15(7):1507.", + "keywords": "concrete, dry", + "comments": "Data is emperically extrapolated from 280 nm to 290 nm and from 394 nm to 400 nm. Data extracted from Turner et al. Figure 2 as a reference to Feister & Grewe - concrete dry. Feister U., Grewe R. Spectral Albedo Measurements in the UV and Visible Region over Different Types of Surfaces. Photochem. Photobiol. 1995;62:736-744. doi: 10.1111/j.1751-1097.1995.tb08723.x.", + "wavelength_minimum": 289.642, + "wavelength_maximum": 393.69928, + "wavelength": "280, 289.642, 302.10025, 310.11932, 316.65872, 322.29117, 330.31027, 339.1408, 344.48688, 350.45346, 359.66586, 362.6253, 373.93796, 380.04773, 390.31027, 393.69928, 400", + "albedo": "9.3, 9.53405, 9.637594, 9.828753, 10.290721, 10.633214, 11.039427, 11.756272, 12.066906, 12.337714, 13.094385, 13.253684, 13.803266, 14.121863, 15.029868, 15.444046, 16.113102" + }, + "A021": { + "data_entry_person": "Michael Kempe", + "date_entered": "7/28/2025", + "DOI": "10.3390/ijerph15071507", + "source_title": "Ultraviolet Radiation Albedo and Reflectance in Review: The Influence to Ultraviolet Exposure in Occupational Settings", + "authors": "Joanna Turner, Alfio V. Parisi", + "reference": "Turner J, Parisi AV. Ultraviolet Radiation Albedo and Reflectance in Review: The Influence to Ultraviolet Exposure in Occupational Settings. Int J Environ Res Public Health. 2018 Jul 17;15(7):1507.", + "keywords": "concrete", + "comments": "Data is emperically extrapolated from 280 nm to 290 nm and from 394 nm to 400 nm. Data extracted from Turner et al. Figure 2 as a reference to Diffey et al - concrete. Diffey B., Green A.T., Loftus M.J., Johnson G.J., Lee P.S. A Portable Instrument for Measuring Ground Reflectance in the Ultraviolet. Photochem. Photobiol. 1995;61:68-70. doi: 10.1111/j.1751-1097.1995.tb09244.x.", + "wavelength_minimum": 289.73746, + "wavelength_maximum": 393.50836, + "wavelength": "280, 289.73746, 300.09546, 308.68735, 319.3795, 328.49643, 338.47256, 348.40094, 352.36276, 358.66348, 365.15512, 373.93796, 380.52505, 387.49402, 393.50836, 400", + "albedo": "6.85, 7.1843886, 7.7339706, 7.7578654, 8.3154125, 8.641975, 9.143767, 9.62963, 9.844684, 10.075667, 10.314615, 10.728793, 11.039427, 11.5173235, 12.066906, 12.735962" + }, + "A022": { + "data_entry_person": "Michael Kempe", + "date_entered": "7/28/2025", + "DOI": "10.3390/ijerph15071507", + "source_title": "Ultraviolet Radiation Albedo and Reflectance in Review: The Influence to Ultraviolet Exposure in Occupational Settings", + "authors": "Joanna Turner, Alfio V. Parisi", + "reference": "Turner J, Parisi AV. Ultraviolet Radiation Albedo and Reflectance in Review: The Influence to Ultraviolet Exposure in Occupational Settings. Int J Environ Res Public Health. 2018 Jul 17;15(7):1507.", + "keywords": "brick, red", + "comments": "Data is emperically extrapolated from 280 nm to 300 nm and from 396 nm to 400 nm. Data extracted from Turner et al. Figure 2 as a reference to Diffey et al -Brick red. Diffey B., Green A.T., Loftus M.J., Johnson G.J., Lee P.S. A Portable Instrument for Measuring Ground Reflectance in the Ultraviolet. Photochem. Photobiol. 1995;61:68-70. doi: 10.1111/j.1751-1097.1995.tb09244.x.", + "wavelength_minimum": 299.65927, + "wavelength_maximum": 396.43515, + "wavelength": "280, 299.65927, 318.96176, 324.0966, 329.37296, 337.2635, 345.2972, 350.52588, 360.55362, 370.96158, 386.07474, 396.43515, 400", + "albedo": "7.47.5131564, 7.534136, 7.5196214, 7.6241918, 7.800883, 7.922056, 8.042487, 8.45784, 8.889166, 9.488403, 9.919717, 10.071428" + }, + "A023": { + "data_entry_person": "Michael Kempe", + "date_entered": "7/28/2025", + "DOI": "10.3390/ijerph15071507", + "source_title": "Ultraviolet Radiation Albedo and Reflectance in Review: The Influence to Ultraviolet Exposure in Occupational Settings", + "authors": "Joanna Turner, Alfio V. Parisi", + "reference": "Turner J, Parisi AV. Ultraviolet Radiation Albedo and Reflectance in Review: The Influence to Ultraviolet Exposure in Occupational Settings. Int J Environ Res Public Health. 2018 Jul 17;15(7):1507.", + "keywords": "brick terracotta", + "comments": "Data is emperically extrapolated from 280 nm to 300 nm and from 394 to 400 nm. Data extracted from Turner et al. Figure 2 as a reference to Diffey et al - brick terracotta. Diffey B., Green A.T., Loftus M.J., Johnson G.J., Lee P.S. A Portable Instrument for Measuring Ground Reflectance in the Ultraviolet. Photochem. Photobiol. 1995;61:68-70. doi: 10.1111/j.1751-1097.1995.tb09244.x.", + "wavelength_minimum": 299.48355, + "wavelength_maximum": 393.55927, + "wavelength": "280, 299.48355, 307.23215, 322.34976, 334.61462, 341.4602, 354.0581, 365.4674, 374.9755, 385.52682, 393.55927, 400", + "albedo": "5.8, 5.9892964, 6.094521, 6.225505, 6.3716073, 6.444847, 6.567228, 6.689294, 6.7553015, 7.1073003, 7.363394, 7.531696" + }, + "A024": { + "data_entry_person": "Michael Kempe", + "date_entered": "7/28/2025", + "DOI": "10.3390/ijerph15071507", + "source_title": "Ultraviolet Radiation Albedo and Reflectance in Review: The Influence to Ultraviolet Exposure in Occupational Settings", + "authors": "Joanna Turner, Alfio V. Parisi", + "reference": "Turner J, Parisi AV. Ultraviolet Radiation Albedo and Reflectance in Review: The Influence to Ultraviolet Exposure in Occupational Settings. Int J Environ Res Public Health. 2018 Jul 17;15(7):1507.", + "keywords": "brick", + "comments": "Data is emperically extrapolated from 280 nm to 304 nm and from 395 nm to 400 nm, and from 395 nm to 400 nm. Data extracted from Turner et al. Figure 2 as a reference to Webb et al - brick. Webb A., Stromberg I., Li H., Bartlett L. Airborne Spectral Measurements of Surface Reflectivity at Ultraviolet and Visible Wavelengths. J. Geophys. Res. 2000;105:4945-4948. doi: 10.1029/1999JD900813.", + "wavelength_minimum": 304.63293, + "wavelength_maximum": 395.1312, + "wavelength": "280, 304.63293, 314.555, 324.16312, 326.54022, 334.95377, 345.36783, 355.63177, 365.22916, 375.02808, 385.62628, 395.1312, 400", + "albedo": "3.5, 4.4430356, 5.9774103, 5.519634, 5.528199, 5.7050285, 5.4934974, 6.0676427, 6.7447867, 6.223568, 6.647008, 7.0463486, 7.3" + }, + "A025": { + "data_entry_person": "Michael Kempe", + "date_entered": "7/28/2025", + "DOI": "10.3390/ijerph15071507", + "source_title": "Ultraviolet Radiation Albedo and Reflectance in Review: The Influence to Ultraviolet Exposure in Occupational Settings", + "authors": "Joanna Turner, Alfio V. Parisi", + "reference": "Turner J, Parisi AV. Ultraviolet Radiation Albedo and Reflectance in Review: The Influence to Ultraviolet Exposure in Occupational Settings. Int J Environ Res Public Health. 2018 Jul 17;15(7):1507.", + "keywords": "metal, zinc aluminum", + "comments": "Data is emperically extrapolated from 280 nm to 300 nm. Data extracted from Turner et al. Figure 2 as a reference to Turner & Parisi - metal zinc aluminum. Turner J. Ph.D. Thesis. University of Southern Queensland; Toowoomba, Australia: 2011. Ultraviolet Radiation Reflection: Characterisation, Quantification and the Resulting Effects. Turner J., Parisi A.V. Ultraviolet Reflection Irradiances and Exposures in the Constructed Environment for Horizontal, Vertical and Inclined Surfaces. Photochem. Photobiol. 2013;89:730-736. doi: 10.1111/php.12025.", + "wavelength_minimum": 300.07413, + "wavelength_maximum": 400.02594, + "wavelength": "280, 300.07413, 300.57858, 300.65308, 301.58737, 301.80692, 302.52753, 302.88998, 304.11334, 304.61926, 305.69675, 306.41635, 306.34662, 307.06665, 308.07263, 309.22226, 309.72705, 310.3746, 310.66306, 311.73996, 312.88998, 314.9, 315.90442, 316.55234, 317.34302, 318.491, 319.85635, 322.72656, 323.87607, 324.5222, 325.8149, 328.0397, 328.9733, 330.33643, 335.0014, 336.43665, 338.6621, 342.17896, 344.25958, 345.19305, 349.06854, 350.21738, 351.86758, 353.01633, 355.60007, 357.68045, 359.18857, 360.62372, 363.997, 366.00717, 367.8011, 372.03552, 374.54715, 376.98804, 378.85355, 380.36096, 382.6564, 384.30798, 388.47067, 390.12164, 391.7006, 392.84763, 394.3559, 394.8583, 396.29294, 397.5859, 400.02594", + "albedo": "100, 65.18802, 63.749672, 61.831276, 60.93293, 57.995495, 55.95784, 53.440216, 51.163258, 48.705723, 48.04733, 46.7291, 45.29018, 43.67219, 42.833866, 41.935734, 40.25758, 39.119137, 38.16019, 37.921455, 36.723564, 36.42581, 36.666622, 35.288372, 34.449833, 34.69079, 33.49311, 33.91564, 33.07746, 32.958202, 32.359974, 32.42215, 32.003418, 32.36449, 32.429104, 32.55044, 32.133003, 32.076565, 32.558258, 32.25943, 32.323257, 31.964691, 32.326054, 32.02744, 32.03002, 32.691574, 32.033607, 32.214897, 32.158318, 31.74066, 31.982262, 31.986492, 32.22881, 31.751633, 32.11321, 31.934858, 32.77648, 32.17861, 32.18277, 32.004562, 32.00614, 32.90657, 32.1287, 32.1292, 32.670204, 31.892118,32.01446" + }, + "A026": { + "data_entry_person": "Michael Kempe", + "date_entered": "7/28/2025", + "DOI": "10.3390/ijerph15071507", + "source_title": "Ultraviolet Radiation Albedo and Reflectance in Review: The Influence to Ultraviolet Exposure in Occupational Settings", + "authors": "Joanna Turner, Alfio V. Parisi", + "reference": "Turner J, Parisi AV. Ultraviolet Radiation Albedo and Reflectance in Review: The Influence to Ultraviolet Exposure in Occupational Settings. Int J Environ Res Public Health. 2018 Jul 17;15(7):1507.", + "keywords": "metal, galvanised", + "comments": "Data is emperically extrapolated from 280 nm to 310 nm and from 390 nm to 400 nm. Data extracted from Turner et al. Figure 2 as a reference to Lester & Parisi - metal galvanised. Lester R.A., Parisi A.V. Spectral Ultraviolet Albedo of Roofing Surfaces and Human Facial Exposure. Int. J. Environ. Health Res. 2002;12:75-81. doi: 10.1080/09603120120110077.", + "wavelength_minimum": 310.10486, + "wavelength_maximum": 390.62805, + "wavelength": "280, 310.10486, 313.97986, 318.7876, 338.45187, 359.0496, 369.52805, 380.29382, 390.62805, 400", + "albedo": "26, 27.008537, 27.432074, 28.036398, 28.595615, 28.856007, 28.866476, 28.697376, 29.18732, 29.436451" + }, + "A027": { + "data_entry_person": "Michael Kempe", + "date_entered": "7/28/2025", + "DOI": "10.3390/ijerph15071507", + "source_title": "Ultraviolet Radiation Albedo and Reflectance in Review: The Influence to Ultraviolet Exposure in Occupational Settings", + "authors": "Joanna Turner, Alfio V. Parisi", + "reference": "Turner J, Parisi AV. Ultraviolet Radiation Albedo and Reflectance in Review: The Influence to Ultraviolet Exposure in Occupational Settings. Int J Environ Res Public Health. 2018 Jul 17;15(7):1507.", + "keywords": "metal, painted", + "comments": "Data is emperically extrapolated from 280 nm to 300 nm. Data extracted from Turner et al. Figure 2 as a reference to Turner & Parisi - metal painted. Turner J. Ph.D. Thesis. University of Southern Queensland; Toowoomba, Australia: 2011. Ultraviolet Radiation Reflection: Characterisation, Quantification and the Resulting Effects. Turner J., Parisi A.V. Ultraviolet Reflection Irradiances and Exposures in the Constructed Environment for Horizontal, Vertical and Inclined Surfaces. Photochem. Photobiol. 2013;89:730-736. doi: 10.1111/php.12025.", + "wavelength_minimum": 300.21793, + "wavelength_maximum": 400.0572, + "wavelength": "280, 300.21793, 300.57892, 300.65292, 301.44452, 301.73444, 302.3105, 302.60025, 303.03345, 303.25174, 304.47546, 304.9824, 305.19934, 306.28052, 306.6422, 307.36215, 307.21982, 307.86884, 309.59576, 309.88733, 310.32025, 310.3933, 310.89804, 311.61694, 311.90598, 312.98468, 313.99136, 315.28323, 315.9306, 316.86636, 317.8025, 318.66397, 319.31137, 320.82062, 322.9726, 324.55463, 325.273, 325.2738, 327.85855, 329.79788, 333.8166, 335.18066, 336.47202, 339.70312, 341.85608, 342.57446, 344.36743, 345.5887, 349.17715, 350.6136, 351.40237, 353.55615, 354.992, 358.14792, 359.8005, 361.73727, 365.82974, 371.28442, 374.2975, 375.80563, 377.24112, 378.67676, 381.04477, 382.98032, 384.9194, 387.93298, 389.58286, 390.87616, 392.31055, 392.95493, 395.3247, 396.6146, 400.0572", + "albedo": "100, 65.0083, 63.50986, 61.95118, 60.453167, 58.475037, 57.156666, 55.29844, 53.50031, 51.402203, 48.885437, 45.70848, 44.569607, 41.333275, 39.355213, 37.79718, 36.957706, 34.80008, 31.684294, 28.567074, 26.9488, 26.049591, 24.431389, 23.592777, 22.214167, 20.716442, 19.3985, 19.399792, 18.381252, 16.463718, 14.306377, 14.127382, 13.108843, 11.6715, 12.453028, 10.296332, 9.817433, 9.277864, 8.561022, 7.4838214, 7.7875977, 7.4892, 7.850203, 6.8342457, 6.956301, 6.4774017, 7.378475, 6.5403657, 6.6039033, 5.8859134, 6.366318, 5.8888535, 5.5905275, 6.97258, 5.6552844, 6.376645, 5.301596, 5.1871424, 6.0894346, 5.431468, 5.3729506, 5.1945286, 5.4966555, 7.0573444, 6.1600003, 6.7025805, 7.3037505, 6.2858562, 7.0067153, 8.086497, 7.129631, 8.509819, 10.191918" + }, + "A028": { + "data_entry_person": "Michael Kempe", + "date_entered": "7/28/2025", + "DOI": "10.3390/ijerph15071507", + "source_title": "Ultraviolet Radiation Albedo and Reflectance in Review: The Influence to Ultraviolet Exposure in Occupational Settings", + "authors": "Joanna Turner, Alfio V. Parisi", + "reference": "Turner J, Parisi AV. Ultraviolet Radiation Albedo and Reflectance in Review: The Influence to Ultraviolet Exposure in Occupational Settings. Int J Environ Res Public Health. 2018 Jul 17;15(7):1507.", + "keywords": "metal, painted", + "comments": "Data is emperically extrapolated from 280 nm to 309 nm and from 397 nm to 400 nm. Data extracted from Turner et al. Figure 2 as a reference to Lester & Parisi - metal painted. Lester R.A., Parisi A.V. Spectral Ultraviolet Albedo of Roofing Surfaces and Human Facial Exposure. Int. J. Environ. Health Res. 2002;12:75-81. doi: 10.1080/09603120120110077.", + "wavelength_minimum": 309.7072, + "wavelength_maximum": 396.8289, + "wavelength": "280, 309.7072,334.3244,355.7121,360.95114,368.48627,378.89166,381.83398,387.50235,392.09436,396.8289,400", + "albedo": "4.1, 3.9865236,4.0111213,3.9125876,4.037727,4.584825,5.494504,5.6773005,6.7021503,7.6060205,9.229459,10.011919," + }, + "A029": { + "data_entry_person": "Michael Kempe", + "date_entered": "7/28/2025", + "source_title": "PySmarts", + "keywords": "alfalfa", + "file": "ALFALFA.dat", + "comments": "Taken directly from PySmarts. File dated: 06/05/2004, 12:11:50 PM. Data is emperically extrapolated from 280 nm to 300 nm.", + "wavelength_minimum": 280, + "wavelength_maximum": 800, + "wavelength": "280, 300, 310, 320, 330, 340, 350, 360, 370, 380, 390, 400, 410, 420, 430, 440, 450, 460, 470, 480, 490, 500, 510, 520, 530, 540, 550, 560, 570, 580, 590, 600, 610, 620, 630, 640, 650, 660, 670, 680, 690, 700, 710, 720, 730, 740, 750, 760, 770, 780, 790, 800", + "albedo": "2.4, 2.3, 2.3, 2.3, 2.2, 2.2, 2.3, 2.3, 2.3, 2.2, 2.2, 2.4, 2.5, 2.7, 2.8, 2.9, 3, 3.2, 3.5, 4.1, 4.9, 5.8, 6.5, 7.1, 7.6, 8, 8.3, 8.1, 7.7, 6.9, 6.4, 5.8, 5.3, 4.9, 4.7, 4.7, 4.7, 5, 6.1, 8.1, 10.8, 14.6, 18.8, 23.9, 29.1, 35.1, 40.3, 47.2, 53.9, 60.2, 65.3, 69" + }, + "A030": { + "data_entry_person": "Michael Kempe", + "date_entered": "7/28/2025", + "source_title": "PySmarts", + "keywords": "asphalt", + "file": "Asphalt.dat", + "comments": "Taken directly from PySmarts. File dated: 20/03/2004, 8:14:12 PM. Data is emperically extrapolated from 280 nm to 300 nm.", + "wavelength_minimum": 280, + "wavelength_maximum": 4000, + "wavelength": "280, 300, 302, 304, 306, 308, 310, 312, 314, 316, 318, 320, 322, 324, 326, 328, 330, 332, 334, 336, 338, 340, 342, 344, 346, 348, 350, 352, 354, 356, 358, 360, 362, 364, 366, 368, 370, 372, 374, 376, 378, 380, 382, 384, 386, 388, 390, 392, 394, 396, 398, 400, 402, 404, 406, 408, 410, 412, 414, 416, 418, 420, 422, 424, 426, 428, 430, 432, 434, 436, 438, 440, 442, 444, 446, 448, 450, 452, 454, 456, 458, 460, 462, 464, 466, 468, 470, 472, 474, 476, 478, 480, 482, 484, 486, 488, 490, 492, 494, 496, 498, 500, 502, 504, 506, 508, 510, 512, 514, 516, 518, 520, 522, 524, 526, 528, 530, 532, 534, 536, 538, 540, 542, 544, 546, 548, 550, 552, 554, 556, 558, 560, 562, 564, 566, 568, 570, 572, 574, 576, 578, 580, 582, 584, 586, 588, 590, 592, 594, 596, 598, 600, 602, 604, 606, 608, 610, 612, 614, 616, 618, 620, 622, 624, 626, 628, 630, 632, 634, 636, 638, 640, 642, 644, 646, 648, 650, 652, 654, 656, 658, 660, 662, 664, 666, 668, 670, 672, 674, 676, 678, 680, 682, 684, 686, 688, 690, 692, 694, 696, 698, 700, 702, 704, 706, 708, 710, 712, 714, 716, 718, 720, 722, 724, 726, 728, 730, 732, 734, 736, 738, 740, 742, 744, 746, 748, 750, 752, 754, 756, 758, 760, 762, 764, 766, 768, 770, 772, 774, 776, 778, 780, 782, 784, 786, 788, 790, 792, 794, 796, 798, 800, 820, 840, 860, 880, 900, 920, 940, 960, 980, 1000, 1020, 1040, 1060, 1080, 1100, 1120, 1140, 1160, 1180, 1200, 1220, 1240, 1260, 1280, 1300, 1320, 1340, 1360, 1380, 1400, 1420, 1440, 1460, 1480, 1500, 1520, 1540, 1560, 1580, 1600, 1620, 1640, 1660, 1680, 1700, 1720, 1740, 1760, 1780, 1800, 1820, 1840, 1860, 1880, 1900, 1920, 1940, 1960, 1980, 2000, 2020, 2040, 2060, 2080, 2100, 2120, 2140, 2160, 2180, 2200, 2220, 2240, 2260, 2280, 2300, 2320, 2340, 2360, 2380, 2400, 2420, 2440, 2460, 2480, 2500, 2520, 2540, 2560, 2580, 2600, 2620, 2640, 2660, 2680, 2700, 2720, 2740, 2760, 2780, 2800, 2820, 2840, 2860, 2880, 2900, 2920, 2940, 2960, 2980, 3000, 3020, 3040, 3060, 3080, 3100, 3120, 3140, 3160, 3180, 3200, 3220, 3240, 3260, 3280, 3300, 3320, 3340, 3360, 3380, 3400, 3420, 3440, 3460, 3480, 3500, 3520, 3540, 3560, 3580, 3600, 3620, 3640, 3660, 3680, 3700, 3720, 3740, 3760, 3780, 3800, 3820, 3840, 3860, 3880, 3900, 3920, 3940, 3960, 3980, 4000", + "albedo": "5.8, 5.9, 6, 6, 6, 6, 6, 6, 6.1, 6.1, 6.1, 6.1, 6.1, 6.1, 6.1, 6.1, 6.2, 6.2, 6.2, 6.2, 6.2, 6.2, 6.2, 6.3, 6.3, 6.3, 6.3, 6.3, 6.3, 6.3, 6.3, 6.4, 6.4, 6.4, 6.4, 6.4, 6.4, 6.4, 6.5, 6.5, 6.5, 6.5, 6.5, 6.5, 6.6, 6.6, 6.6, 6.6, 6.6, 6.6, 6.7, 6.7, 6.7, 6.7, 6.7, 6.7, 6.7, 6.8, 6.8, 6.8, 6.8, 6.8, 6.8, 6.8, 6.9, 6.9, 6.9, 6.9, 6.9, 6.9, 7, 7, 7, 7, 7, 7, 7, 7, 7.1, 7.1, 7.1, 7.1, 7.1, 7.1, 7.1, 7.1, 7.2, 7.2, 7.2, 7.2, 7.2, 7.2, 7.2, 7.2, 7.2, 7.2, 7.2, 7.2, 7.3, 7.3, 7.3, 7.3, 7.3, 7.3, 7.4, 7.4, 7.4, 7.4, 7.4, 7.4, 7.4, 7.4, 7.4, 7.4, 7.5, 7.5, 7.5, 7.5, 7.5, 7.5, 7.5, 7.5, 7.5, 7.6, 7.6, 7.6, 7.6, 7.6, 7.6, 7.6, 7.6, 7.6, 7.6, 7.6, 7.7, 7.7, 7.7, 7.7, 7.7, 7.7, 7.7, 7.7, 7.7, 7.7, 7.7, 7.7, 7.7, 7.8, 7.8, 7.8, 7.8, 7.8, 7.8, 7.8, 7.8, 7.8, 7.8, 7.8, 7.8, 7.8, 7.8, 7.8, 7.8, 7.9, 7.9, 7.9, 7.9, 7.9, 7.9, 7.9, 7.9, 7.9, 7.9, 7.9, 7.9, 7.9, 7.9, 7.9, 7.9, 7.9, 7.9, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8.1, 8.1, 8.1, 8.1, 8.1, 8.1, 8.1, 8.1, 8.1, 8.1, 8.1, 8.1, 8.1, 8.1, 8.1, 8.1, 8.1, 8.1, 8.1, 8.1, 8.1, 8.2, 8.2, 8.2, 8.2, 8.2, 8.2, 8.2, 8.2, 8.2, 8.2, 8.2, 8.2, 8.2, 8.2, 8.2, 8.2, 8.2, 8.2, 8.2, 8.2, 8.2, 8.2, 8.2, 8.2, 8.2, 8.2, 8.2, 8.2, 8.2, 8.2, 8.3, 8.3, 8.3, 8.5, 8.6, 8.6, 8.5, 8.4, 8.4, 8.4, 8.4, 8.4, 8.4, 8.4, 8.4, 8.4, 8.4, 8.4, 8.5, 8.4, 8.4, 8.4, 8.4, 8.4, 8.4, 8.4, 8.4, 8.4, 8.4, 8.4, 8.4, 8.4, 8.4, 8.4, 8.4, 8.4, 8.4, 8.4, 8.4, 8.4, 8.4, 8.4, 8.4, 8.4, 8.4, 8.3, 8.4, 8.3, 8.3, 8.3, 8.3, 8.3, 8.3, 8.3, 8.2, 8.2, 8.1, 8.2, 8.1, 8.2, 8.2, 8.2, 8.2, 8.2, 8.2, 8.1, 8.1, 8, 8, 8, 8, 8, 8, 8, 7.7, 7.6, 7.6, 7.5, 7.5, 7.4, 7.4, 7.1, 7.1, 7.1, 7, 6.9, 7.2, 7.1, 7, 6.9, 6.9, 6.9, 6.9, 6.6, 5.9, 5.5, 5.2, 5, 5.1, 5.3, 5.2, 5.3, 5.1, 5.1, 5.2, 5.1, 5, 5.1, 5.1, 5.2, 5.2, 5.2, 5.3, 5.4, 5.5, 5.5, 5.4, 5.5, 5.6, 5.6, 5.5, 5.4, 5.6, 5.3, 5.1, 5.2, 5.2, 5, 4.8, 4.6, 4.5, 4.6, 4.6, 4.7, 4.7, 4.8, 5.2, 5.3, 5.4, 5.3, 5.5, 5.5, 5.4, 5.4, 5.4, 5.4, 5.2, 5.1, 4.9, 4.9, 5, 5.1, 4.9, 4.9, 4.8, 4.6, 4.6, 4.7, 4.8, 5.1" + }, + "A031": { + "data_entry_person": "Michael Kempe", + "date_entered": "7/28/2025", + "source_title": "PySmarts", + "keywords": "basalt", + "file": "BASALT.dat", + "comments": "Taken directly from PySmarts. File dated: 06/05/2004, 12:11:52 PM. Data is emperically extrapolated from 280 nm to 300 nm.", + "wavelength_minimum": 280, + "wavelength_maximum": 2480, + "wavelength": "280, 300, 310, 320, 330, 340, 350, 360, 370, 380, 390, 400, 410, 420, 430, 440, 450, 460, 470, 480, 490, 500, 510, 520, 530, 540, 550, 560, 570, 580, 590, 600, 610, 620, 630, 640, 650, 660, 670, 680, 690, 700, 710, 720, 730, 740, 750, 760, 770, 780, 790, 800, 810, 820, 830, 840, 850, 860, 870, 880, 890, 900, 910, 920, 930, 940, 950, 960, 970, 980, 990, 1000, 1010, 1020, 1030, 1040, 1050, 1060, 1070, 1080, 1090, 1100, 1110, 1120, 1130, 1140, 1150, 1160, 1170, 1180, 1190, 1200, 1210, 1220, 1230, 1240, 1250, 1260, 1270, 1280, 1290, 1300, 1310, 1320, 1330, 1340, 1350, 1360, 1370, 1380, 1390, 1400, 1410, 1420, 1430, 1440, 1450, 1460, 1470, 1480, 1490, 1500, 1510, 1520, 1530, 1540, 1550, 1560, 1570, 1580, 1590, 1600, 1610, 1620, 1630, 1640, 1650, 1660, 1670, 1680, 1690, 1700, 1710, 1720, 1730, 1740, 1750, 1760, 1770, 1780, 1790, 1800, 1810, 1820, 1830, 1840, 1850, 1860, 1870, 1880, 1890, 1900, 1910, 1920, 1930, 1940, 1950, 1960, 1970, 1980, 1990, 2000, 2010, 2020, 2030, 2040, 2050, 2060, 2070, 2080, 2090, 2100, 2110, 2120, 2130, 2140, 2150, 2160, 2170, 2180, 2190, 2200, 2210, 2220, 2230, 2240, 2250, 2260, 2270, 2280, 2290, 2300, 2310, 2320, 2330, 2340, 2350, 2360, 2370, 2380, 2390, 2400, 2410, 2420, 2430, 2440, 2450, 2460, 2470, 2480", + "albedo": "10.5, 11.9, 12.6, 13.3, 13.9, 14.5, 15, 15.5, 15.8, 16.1, 16.3, 16.5, 16.75, 17, 17.3, 17.6, 17.8, 18, 18.1, 18.2, 18.3, 18.4, 18.45, 18.5, 18.6, 18.7, 18.8, 18.9, 19, 19.1, 19.2, 19.3, 19.25, 19.2, 19.25, 19.3, 19.45, 19.6, 19.7, 19.8, 19.95, 20.1, 20.3, 20.5, 20.6, 20.7, 20.85, 21, 21.15, 21.3, 21.4, 21.5, 21.55, 21.6, 21.6, 21.6, 21.7, 21.8, 21.8, 21.8, 21.7, 21.6, 21.6, 21.6, 21.5, 21.4, 21.35, 21.3, 21.3, 21.3, 21.2, 21.1, 21.1, 21.1, 21.1, 21.1, 21.1, 21.1, 21.15, 21.2, 21.3, 21.4, 21.5, 21.6, 21.75, 21.9, 22.05, 22.2, 22.25, 22.3, 22.4, 22.5, 22.6, 22.7, 22.9, 23.1, 23.15, 23.2, 23.15, 23.1, 23.15, 23.2, 23.35, 23.5, 23.65, 23.8, 23.9, 24, 24.05, 24.1, 24.15, 24.2, 24.15, 24.1, 24.15, 24.2, 24.25, 24.3, 24.35, 24.4, 24.45, 24.5, 24.65, 24.8, 24.85, 24.9, 24.95, 25, 25.05, 25.1, 25.15, 25.2, 25.3, 25.4, 25.45, 25.5, 25.5, 25.5, 25.55, 25.6, 25.65, 25.7, 25.75, 25.8, 25.85, 25.9, 25.95, 26, 26.05, 26.1, 26.1, 26.1, 26.15, 26.2, 26.25, 26.3, 26.35, 26.4, 26.5, 26.6, 26.65, 26.7, 26.75, 26.8, 26.85, 26.9, 26.95, 27, 27, 27, 27, 27, 27.05, 27.1, 27.15, 27.2, 27.3, 27.4, 27.5, 27.6, 27.65, 27.7, 27.65, 27.6, 27.65, 27.7, 27.75, 27.8, 27.85, 27.9, 27.95, 28, 28.05, 28.1, 28.2, 28.3, 28.35, 28.4, 28.45, 28.5, 28.55, 28.6, 28.65, 28.7, 28.75, 28.8, 28.85, 28.9, 29, 29.1, 29.15, 29.2, 29.25, 29.3, 29.3, 29.3, 29.3, 29.3, 29.3, 29.3" + }, + "A032": { + "data_entry_person": "Michael Kempe", + "date_entered": "7/28/2025", + "source_title": "PySmarts", + "keywords": "concrete", + "file": "CONCRETE.dat", + "comments": "Taken directly from PySmarts. File dated: 06/05/2004, 12:11:52 PM. Data is emperically extrapolated from 280 nm to 300 nm.", + "wavelength_minimum": 280, + "wavelength_maximum": 1300, + "wavelength": "280, 300, 310, 320, 330, 340, 350, 360, 370, 380, 390, 400, 410, 420, 430, 440, 450, 460, 470, 480, 490, 500, 510, 520, 530, 540, 550, 560, 570, 580, 590, 600, 610, 620, 630, 640, 650, 660, 670, 680, 690, 700, 710, 720, 730, 740, 750, 760, 770, 780, 790, 800, 810, 820, 830, 840, 850, 860, 870, 880, 890, 900, 910, 920, 930, 940, 950, 960, 970, 980, 990, 1000, 1010, 1020, 1030, 1040, 1050, 1060, 1070, 1080, 1090, 1100, 1110, 1120, 1130, 1140, 1150, 1160, 1170, 1180, 1190, 1200, 1210, 1220, 1230, 1240, 1250, 1260, 1270, 1280, 1290, 1300", + "albedo": "21, 18.6, 17.75, 16.9, 16.45, 16, 16.05, 16.1, 16.5, 16.9, 17.45, 18, 18.55, 19.1, 19.8, 20.5, 21.05, 21.6, 22.35, 23.1, 24, 24.9, 25.7, 26.5, 27.5, 28.5, 29.3, 30.1, 30.8, 31.5, 32.15, 32.8, 33.7, 34.6, 35.2, 35.8, 36.4, 37, 37.75, 38.5, 39.4, 40.3, 42, 43.7, 44.45, 45.2, 45.25, 45.3, 44.7, 44.1, 43.25, 42.4, 41.5, 40.6, 40.05, 39.5, 39.3, 39.1, 38.9, 38.7, 38.75, 38.8, 38.9, 39, 39.1, 39.2, 39.45, 39.7, 40.2, 40.7, 41.6, 42.5, 43.9, 45.3, 46.3, 47.3, 47.75, 48.2, 47.95, 47.7, 47.2, 46.7, 46.1, 45.5, 45.05, 44.6, 44.65, 44.7, 45.1, 45.5, 46.25, 47, 47.55, 48.1, 48.3, 48.5, 48.65, 48.8, 48.75, 48.7, 48.65, 48.6" + }, + "A033": { + "data_entry_person": "Michael Kempe", + "date_entered": "7/28/2025", + "source_title": "PySmarts", + "keywords": "conifer, tree", + "file": "Conifers.dat", + "comments": "Taken directly from PySmarts. File dated: 06/05/2004, 12:11:52 PM. Data is emperically extrapolated from 280 nm to 302 nm.", + "wavelength_minimum": 280, + "wavelength_maximum": 4000, + "wavelength": "280, 302, 304, 306, 308, 310, 312, 314, 316, 318, 320, 322, 324, 326, 328, 330, 332, 334, 336, 338, 340, 342, 344, 346, 348, 350, 352, 354, 356, 358, 360, 362, 364, 366, 368, 370, 372, 374, 376, 378, 380, 382, 384, 386, 388, 390, 392, 394, 396, 398, 400, 402, 404, 406, 408, 410, 412, 414, 416, 418, 420, 422, 424, 426, 428, 430, 432, 434, 436, 438, 440, 442, 444, 446, 448, 450, 452, 454, 456, 458, 460, 462, 464, 466, 468, 470, 472, 474, 476, 478, 480, 482, 484, 486, 488, 490, 492, 494, 496, 498, 500, 502, 504, 506, 508, 510, 512, 514, 516, 518, 520, 522, 524, 526, 528, 530, 532, 534, 536, 538, 540, 542, 544, 546, 548, 550, 552, 554, 556, 558, 560, 562, 564, 566, 568, 570, 572, 574, 576, 578, 580, 582, 584, 586, 588, 590, 592, 594, 596, 598, 600, 602, 604, 606, 608, 610, 612, 614, 616, 618, 620, 622, 624, 626, 628, 630, 632, 634, 636, 638, 640, 642, 644, 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File dated: 06/05/2004, 12:11:52 PM. Data is emperically extrapolated from 280 nm to 300 nm.", + "wavelength_minimum": 280, + "wavelength_maximum": 990, + "wavelength": "280, 320, 330, 340, 350, 360, 370, 380, 390, 400, 410, 420, 430, 440, 450, 460, 470, 480, 490, 500, 510, 520, 530, 540, 550, 560, 570, 580, 590, 600, 610, 620, 630, 640, 650, 660, 670, 680, 690, 700, 710, 720, 730, 740, 750, 760, 770, 780, 790, 800, 810, 820, 830, 840, 850, 860, 870, 880, 890, 900, 910, 920, 930, 940, 950, 960, 970, 980, 990", + "albedo": "4.4, 4.4, 4.3, 4.2, 4.2, 4.3, 4.5, 4.7, 4.8, 5, 5.1, 5.3, 5.3, 5.5, 5.8, 6.2, 6.7, 7.1, 7.7, 8.2, 8.8, 9.4, 10.3, 11.4, 13.1, 15.4, 18.6, 22.5, 25.1, 26.8, 28.3, 29.7, 30.9, 32, 32.9, 33.5, 34.3, 35.3, 36.2, 37.1, 37.8, 38.6, 39.5, 40.3, 41, 41.6, 42.1, 42.7, 43, 43.1, 43, 43.1, 43.2, 43.4, 43.5, 43.7, 44, 44.2, 44.5, 44.8, 45.2, 45.7, 46.1, 46.5, 47, 47.4, 47.8, 48.2, 48.5" + }, + "A037": { + "data_entry_person": "Michael Kempe", + "date_entered": "7/28/2025", + "source_title": "PySmarts", + "keywords": "dry, soil", + "file": "Dry_Soil.dat", + "comments": "Taken directly from PySmarts. File dated: 06/05/2004, 12:11:52 PM. ", + "wavelength_minimum": 280, + "wavelength_maximum": 4000, + "wavelength": "280, 300, 320, 330, 340, 350, 360, 370, 380, 390, 400, 410, 420, 430, 440, 450, 460, 470, 480, 490, 500, 510, 520, 530, 540, 550, 560, 570, 580, 590, 600, 610, 620, 630, 640, 650, 660, 670, 680, 690, 700, 710, 720, 730, 740, 750, 760, 770, 780, 790, 800, 810, 820, 830, 840, 850, 860, 870, 880, 890, 900, 910, 920, 930, 940, 950, 960, 970, 980, 990, 1000, 1010, 1020, 1030, 1040, 1050, 1060, 1070, 1080, 1090, 1100, 1110, 1120, 1130, 1140, 1150, 1160, 1170, 1180, 1190, 1200, 1210, 1220, 1230, 1240, 1250, 1260, 1270, 1280, 1290, 1300, 1310, 1320, 1330, 1340, 1350, 1360, 1370, 1380, 1390, 1400, 1410, 1420, 1430, 1440, 1450, 1460, 1470, 1480, 1490, 1500, 1510, 1520, 1530, 1540, 1550, 1560, 1570, 1580, 1590, 1600, 1610, 1620, 1630, 1640, 1650, 1660, 1670, 1680, 1690, 1700, 1710, 1720, 1730, 1740, 1750, 1760, 1770, 1780, 1790, 1800, 1810, 1820, 1830, 1840, 1850, 1860, 1870, 1880, 1890, 1900, 1910, 1920, 1930, 1940, 1950, 1960, 1970, 1980, 1990, 2000, 2010, 2020, 2030, 2040, 2050, 2060, 2070, 2080, 2090, 2100, 2110, 2120, 2130, 2140, 2150, 2160, 2170, 2180, 2190, 2200, 2210, 2220, 2230, 2240, 2250, 2260, 2270, 2280, 2290, 2300, 2310, 2320, 2330, 2340, 2350, 2360, 2370, 2380, 2390, 2400, 2410, 2420, 2430, 2440, 2450, 2460, 2470, 2480, 2600, 2800, 3000, 3500, 4000", + "albedo": "4, 4.1, 4.2, 4.2, 4.2, 4.2, 4.3, 4.5, 4.7, 4.8, 5, 5.1, 5.3, 5.3, 5.5, 5.8, 6.2, 6.7, 7.1, 7.7, 8.2, 8.8, 9.4, 10.3, 11.2, 13, 16.7, 18, 19.3, 20.6, 21.8, 23.1, 23.8, 24.4, 25.1, 25.4, 26, 26.5, 27, 27.6, 28.3, 28.8, 29.3, 29.8, 30.3, 30.8, 31.4, 31.9, 32.4, 32.9, 33.2, 33.2, 33.2, 33.3, 33.3, 33.4, 33.3, 33.3, 33.2, 33.2, 33, 33, 33, 32.9, 32.9, 32.9, 32.8, 32.8, 32.9, 33.2, 33.4, 33.7, 34.1, 34.7, 35.2, 35.6, 35.6, 35.6, 35.7, 35.6, 35.6, 35, 34.1, 33, 32, 30.8, 29.6, 28.5, 27.8, 28, 28.4, 28.8, 29.2, 29.6, 29.9, 30.2, 30.2, 30.3, 30.2, 30.2, 30.1, 29, 27.9, 26.7, 25.6, 24.4, 23.4, 22.4, 21.3, 20.3, 19.3, 18.9, 18.5, 18.1, 17.7, 17.3, 17, 16.6, 16.2, 15.8, 15.4, 15.7, 15.9, 16.2, 16.4, 16.7, 17.7, 18.8, 19.8, 20.8, 21.8, 22.5, 23.1, 23.3, 23.4, 23.5, 23.3, 23, 22.6, 22.2, 21.8, 21.3, 20.8, 20.3, 19.8, 19.3, 19.1, 19, 19, 19.1, 19.3, 19.4, 19.5, 19.7, 19.8, 19.3, 17.3, 15.4, 13.5, 11.6, 9, 7.5, 6.3, 6.05, 5.8, 5.6, 5.4, 5.6, 5.8, 7.65, 9.5, 11.5, 13.5, 13.55, 13.6, 13.7, 13.8, 13.7, 13.6, 13.3, 13, 12.4, 11.8, 11.2, 10.6, 10.35, 10.1, 9.95, 9.8, 9.7, 9.6, 9.6, 9.6, 9.65, 9.7, 9.75, 9.8, 9.65, 9.5, 9.35, 9.2, 8.75, 8.3, 7.9, 7.5, 7.25, 7, 6.8, 6.6, 6.3, 6, 5.75, 5.5, 5.45, 5.4, 5.35, 5.3, 5.3, 5.3, 5.2, 5.2, 5.1, 5, 5" + }, + "A038": { + "data_entry_person": "Michael Kempe", + "date_entered": "7/28/2025", + "source_title": "PySmarts", + "keywords": "fallow, soil", + "file": "Fallow.dat", + "comments": "Taken directly from PySmarts. File dated: 20/03/2004, 8:14:14 PM. Data is emperically extrapolated from 280 nm to 300 nm.", + "wavelength_minimum": 280, + "wavelength_maximum": 1190, + "wavelength": "280, 320, 330, 340, 350, 360, 370, 380, 390, 400, 410, 420, 430, 440, 450, 460, 470, 480, 490, 500, 510, 520, 530, 540, 550, 560, 570, 580, 590, 600, 610, 620, 630, 640, 650, 660, 670, 680, 690, 700, 710, 720, 730, 740, 750, 760, 770, 780, 790, 800, 810, 820, 830, 840, 850, 860, 870, 880, 890, 900, 910, 920, 930, 940, 950, 960, 970, 980, 990, 1000, 1010, 1020, 1030, 1040, 1050, 1060, 1070, 1080, 1090, 1100, 1110, 1120, 1130, 1140, 1150, 1160, 1170, 1180, 1190", + "albedo": "6, 5.7, 4.9, 4.4, 4.3, 4.4, 4.6, 4.9, 5.1, 5.3, 5.8, 6.3, 6.8, 7.2, 7.9, 8.6, 9.1, 9.9, 10.6, 11, 11.4, 11.8, 12.1, 12.8, 13.5, 15, 15.6, 16.2, 16.8, 17.1, 17.7, 18, 18.3, 18.4, 18.7, 19.1, 19.4, 19.7, 19.9, 20.5, 21.1, 21.8, 22.4, 23.3, 24, 24.5, 25, 25.3, 25.5, 25.8, 26, 26.1, 26.2, 26.4, 26.5, 26.8, 26.8, 26.9, 27, 26.9, 26.6, 26.2, 25.7, 25.6, 25.4, 25.7, 25.8, 25.7, 25.5, 25.1, 24.8, 24.4, 23.7, 23.1, 22.6, 22.4, 22.4, 22.2, 21.6, 20.9, 20.3, 19.5, 18.8, 18.7, 18.6, 18.6, 18.7, 18.6, 18.7" + }, + "A039": { + "data_entry_person": "Michael Kempe", + "date_entered": "7/28/2025", + "source_title": "PySmarts", + "keywords": "fine snow", + "file": "FineSnow.dat", + "comments": "Taken directly from PySmarts. File dated: 06/05/2004, 12:12:04 PM. Data is emperically extrapolated from 280 nm to 300 nm.", + "wavelength_minimum": 280, + "wavelength_maximum": 4002, + "wavelength": "280, 300, 302, 304, 306, 308, 310, 312, 314, 316, 318, 320, 322, 324, 326, 328, 330, 332, 334, 336, 338, 340, 342, 344, 346, 348, 350, 352, 354, 356, 358, 360, 362, 364, 366, 368, 370, 372, 374, 376, 378, 380, 382, 384, 386, 388, 390, 392, 394, 396, 398, 400, 402, 404, 406, 408, 410, 412, 414, 416, 418, 420, 422, 424, 426, 428, 430, 432, 434, 436, 438, 440, 442, 444, 446, 448, 450, 452, 454, 456, 458, 460, 462, 464, 466, 468, 470, 472, 474, 476, 478, 480, 482, 484, 486, 488, 490, 492, 494, 496, 498, 500, 502, 504, 506, 508, 510, 512, 514, 516, 518, 520, 522, 524, 526, 528, 530, 532, 534, 536, 538, 540, 542, 544, 546, 548, 550, 552, 554, 556, 558, 560, 562, 564, 566, 568, 570, 572, 574, 576, 578, 580, 582, 584, 586, 588, 590, 592, 594, 596, 598, 600, 602, 604, 606, 608, 610, 612, 614, 616, 618, 620, 622, 624, 626, 628, 630, 632, 634, 636, 638, 640, 642, 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File dated: 06/05/2004, 12:12:04 PM. Data is emperically extrapolated from 280 nm to 300 nm.", + "wavelength_minimum": 280, + "wavelength_maximum": 1190, + "wavelength": "280, 300, 310, 320, 330, 340, 350, 360, 370, 380, 390, 400, 410, 420, 430, 440, 450, 460, 470, 480, 490, 500, 510, 520, 530, 540, 550, 560, 570, 580, 590, 600, 610, 620, 630, 640, 650, 660, 670, 680, 690, 700, 710, 720, 730, 740, 750, 760, 770, 780, 790, 800, 810, 820, 830, 840, 850, 860, 870, 880, 890, 900, 910, 920, 930, 940, 950, 960, 970, 980, 990, 1000, 1010, 1020, 1030, 1040, 1050, 1060, 1070, 1080, 1090, 1100, 1110, 1120, 1130, 1140, 1150, 1160, 1170, 1180, 1190", + "albedo": "4, 3.1, 2.8, 2.5, 2.3, 2.1, 2, 1.9, 1.9, 1.9, 2.1, 2.2, 2.4, 2.5, 2.6, 2.7, 2.7, 2.7, 2.8, 3, 3.2, 3.3, 3.8, 4.5, 5.3, 5.8, 6.2, 6.4, 6.5, 6.4, 6.3, 5.9, 5.7, 5.2, 4.9, 4.6, 4.4, 4.2, 4.1, 4.1, 4.1, 4.3, 4.8, 8.4, 13, 18.2, 23.9, 26.7, 29.5, 31.2, 32.2, 32.7, 32.7, 32.4, 31.9, 31.4, 31.4, 31.8, 32.3, 32.7, 32.7, 32.6, 32, 31.4, 30.5, 29.3, 27.7, 26.4, 25.8, 26.5, 26.9, 26.9, 26.7, 26.4, 26, 25.6, 25.1, 24.5, 23.7, 23, 22.2, 21.1, 19.8, 18.3, 16.5, 14.5, 13.5, 13.1, 12.8, 12.7, 12.7" + }, + "A041": { + "data_entry_person": "Michael Kempe", + "date_entered": "7/28/2025", + "source_title": "PySmarts", + "keywords": "gravel", + "file": "Gravel.dat", + "comments": "Taken directly from PySmarts. File dated: 20/03/2004, 8:14:14 PM. Data is emperically extrapolated from 280 nm to 320 nm.", + "wavelength_minimum": 280, + "wavelength_maximum": 1300, + "wavelength": "280, 320, 340, 360, 380, 400, 420, 440, 460, 480, 500, 520, 540, 560, 580, 600, 620, 640, 660, 680, 700, 720, 740, 760, 780, 800, 820, 840, 860, 880, 900, 920, 940, 960, 980, 1000, 1020, 1040, 1060, 1080, 1100, 1120, 1140, 1160, 1180, 1200, 1220, 1240, 1260, 1280, 1300", + "albedo": "12, 9.4, 7.8, 8, 8.9, 9.7, 10.6, 11.6, 12.1, 12.9, 13.8, 14.9, 16.5, 18, 19.4, 20.7, 21.5, 22, 22.9, 24.8, 28.3, 31.7, 33.7, 34.3, 34.4, 34.7, 34.5, 33.2, 32.2, 32.1, 31.6, 31, 30.8, 31, 31.1, 30.8, 30.2, 30.3, 31.2, 32.2, 32.6, 32.8, 33.5, 34.6, 36.1, 37.8, 38.8, 39, 39.8, 40.9, 42.2" + }, + "A042": { + "data_entry_person": "Michael Kempe", + "date_entered": "7/28/2025", + "source_title": "PySmarts", + "keywords": "green, grass", + "file": "GrnGrass.dat", + "comments": "Taken directly from PySmarts. File dated: 06/05/2004, 12:12:04 PM. 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File dated: 10/18/200, 8:09:22 AM. 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File dated: 20/03/2004, 8:14:16 PM. 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File dated: 20/03/2004, 8:14:16 PM. 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File dated: 20/03/2004, 8:14:16 PM. Data is emperically extrapolated from 280 nm to 300 nm.", + "wavelength_minimum": 280, + "wavelength_maximum": 4000, + "wavelength": "280, 300, 302, 304, 306, 308, 310, 312, 314, 316, 318, 320, 322, 324, 326, 328, 330, 332, 334, 336, 338, 340, 342, 344, 346, 348, 350, 352, 354, 356, 358, 360, 362, 364, 366, 368, 370, 372, 374, 376, 378, 380, 382, 384, 386, 388, 390, 392, 394, 396, 398, 400, 402, 404, 406, 408, 410, 412, 414, 416, 418, 420, 422, 424, 426, 428, 430, 432, 434, 436, 438, 440, 442, 444, 446, 448, 450, 452, 454, 456, 458, 460, 462, 464, 466, 468, 470, 472, 474, 476, 478, 480, 482, 484, 486, 488, 490, 492, 494, 496, 498, 500, 502, 504, 506, 508, 510, 512, 514, 516, 518, 520, 522, 524, 526, 528, 530, 532, 534, 536, 538, 540, 542, 544, 546, 548, 550, 552, 554, 556, 558, 560, 562, 564, 566, 568, 570, 572, 574, 576, 578, 580, 582, 584, 586, 588, 590, 592, 594, 596, 598, 600, 602, 604, 606, 608, 610, 612, 614, 616, 618, 620, 622, 624, 626, 628, 630, 632, 634, 636, 638, 640, 642, 644, 646, 648, 650, 652, 654, 656, 658, 660, 662, 664, 666, 668, 670, 672, 674, 676, 678, 680, 682, 684, 686, 688, 690, 692, 694, 696, 698, 700, 702, 704, 706, 708, 710, 712, 714, 716, 718, 720, 722, 724, 726, 728, 730, 732, 734, 736, 738, 740, 742, 744, 746, 748, 750, 752, 754, 756, 758, 760, 762, 764, 766, 768, 770, 772, 774, 776, 778, 780, 782, 784, 786, 788, 790, 792, 794, 796, 798, 800, 820, 840, 860, 880, 900, 920, 940, 960, 980, 1000, 1020, 1040, 1060, 1080, 1100, 1120, 1140, 1160, 1180, 1200, 1220, 1240, 1260, 1280, 1300, 1320, 1340, 1360, 1380, 1400, 1420, 1440, 1460, 1480, 1500, 1520, 1540, 1560, 1580, 1600, 1620, 1640, 1660, 1680, 1700, 1720, 1740, 1760, 1780, 1800, 1820, 1840, 1860, 1880, 1900, 1920, 1940, 1960, 1980, 2000, 2020, 2040, 2060, 2080, 2100, 2120, 2140, 2160, 2180, 2200, 2220, 2240, 2260, 2280, 2300, 2320, 2340, 2360, 2380, 2400, 2420, 2440, 2460, 2480, 2500, 2520, 2540, 2560, 2580, 2600, 2620, 2640, 2660, 2680, 2700, 2720, 2740, 2760, 2780, 2800, 2820, 2840, 2860, 2880, 2900, 2920, 2940, 2960, 2980, 3000, 3020, 3040, 3060, 3080, 3100, 3120, 3140, 3160, 3180, 3200, 3220, 3240, 3260, 3280, 3300, 3320, 3340, 3360, 3380, 3400, 3420, 3440, 3460, 3480, 3500, 3520, 3540, 3560, 3580, 3600, 3620, 3640, 3660, 3680, 3700, 3720, 3740, 3760, 3780, 3800, 3820, 3840, 3860, 3880, 3900, 3920, 3940, 3960, 3980, 4000", + "albedo": "4.8, 5.5, 5.6, 5.6, 5.7, 5.7, 5.8, 5.8, 5.9, 5.9, 6, 6, 6.1, 6.1, 6.2, 6.2, 6.3, 6.3, 6.4, 6.4, 6.5, 6.5, 6.5, 6.6, 6.6, 6.7, 6.7, 6.7, 6.8, 6.8, 6.8, 6.9, 6.9, 7, 7, 7, 7.1, 7.1, 7.2, 7.2, 7.3, 7.3, 7.4, 7.4, 7.5, 7.5, 7.6, 7.6, 7.7, 7.7, 7.8, 7.8, 7.9, 7.9, 7.9, 8, 8, 8.1, 8.1, 8.1, 8.2, 8.2, 8.3, 8.3, 8.3, 8.4, 8.4, 8.5, 8.5, 8.6, 8.6, 8.7, 8.7, 8.7, 8.8, 8.8, 8.8, 8.8, 8.9, 8.9, 8.9, 9, 9, 9, 9.1, 9.1, 9.1, 9.1, 9.2, 9.2, 9.2, 9.2, 9.3, 9.3, 9.3, 9.3, 9.4, 9.4, 9.5, 9.5, 9.6, 9.7, 9.7, 9.8, 9.8, 9.9, 10, 10, 10.1, 10.1, 10.2, 10.2, 10.3, 10.3, 10.4, 10.4, 10.5, 10.6, 10.6, 10.7, 10.7, 10.8, 10.9, 10.9, 11, 11.1, 11.1, 11.2, 11.3, 11.4, 11.5, 11.6, 11.7, 11.8, 11.9, 12, 12.1, 12.2, 12.3, 12.4, 12.5, 12.6, 12.7, 12.8, 12.9, 13, 13.1, 13.2, 13.3, 13.4, 13.4, 13.5, 13.5, 13.6, 13.6, 13.7, 13.7, 13.7, 13.8, 13.8, 13.8, 13.8, 13.9, 13.9, 13.9, 13.9, 13.9, 14, 14, 14, 14, 14, 14, 14, 14, 14, 14.1, 14.1, 14.1, 14.1, 14.1, 14.1, 14.1, 14.1, 14.1, 14.1, 14.2, 14.2, 14.2, 14.2, 14.2, 14.3, 14.3, 14.3, 14.4, 14.5, 14.5, 14.6, 14.7, 14.8, 14.9, 15, 15.1, 15.2, 15.3, 15.3, 15.4, 15.4, 15.5, 15.5, 15.6, 15.6, 15.7, 15.7, 15.7, 15.8, 15.8, 15.8, 15.8, 15.9, 15.9, 15.9, 15.9, 16, 16, 16, 16, 16, 16, 16, 16, 16.1, 16.1, 16.1, 16.1, 16.1, 16.1, 16.1, 16.1, 16.1, 16.1, 16.1, 16.1, 16.2, 16.2, 16.2, 16.2, 16.2, 16.2, 16.2, 16.2, 16.2, 16.2, 16.3, 16.3, 16.4, 16.5, 16.6, 16.7, 16.8, 16.9, 17, 17.1, 17.2, 17.2, 17.3, 17.3, 17.3, 17.4, 17.4, 17.5, 17.5, 17.5, 17.5, 17.6, 17.6, 17.6, 17.6, 17.7, 17.7, 17.7, 17.5, 17.4, 17.5, 17.5, 17.6, 17.7, 17.8, 17.9, 17.9, 18, 18.1, 18.2, 18.2, 18.3, 18.3, 18.4, 18.4, 18.4, 18.4, 18.4, 18.4, 18.5, 18.5, 18.4, 18.2, 17.5, 16.8, 16.7, 17, 17.2, 17.5, 17.7, 17.8, 17.8, 17.8, 17.8, 17.9, 18, 17.8, 17.7, 17.6, 17.6, 17.5, 17.3, 17.4, 17.3, 16.7, 16.6, 16.4, 16.5, 16.4, 16.2, 15.8, 15.5, 15.2, 15, 15.2, 15.2, 15.2, 15.2, 15, 14.9, 14.7, 14.3, 13.4, 10.9, 9.1, 7, 5.4, 4.7, 4.3, 3.9, 3.9, 3.7, 3.5, 3.4, 3.5, 3.6, 3.3, 3.3, 3.5, 3.4, 3.8, 3.7, 3.7, 3.7, 3.9, 3.9, 4.1, 4.3, 4.6, 4.6, 4.9, 5.2, 5.2, 5.2, 5.3, 5.3, 5.4, 5.3, 5.2, 5.3, 5.4, 5.7, 5.6, 6.1, 6.3, 6.7, 7, 7.1, 7.2, 7.6, 7.6, 7.9, 7.9, 8.2, 8.1, 8.3, 8.3, 8.6, 8.7, 8.8, 8.8, 8.8, 8.9, 8.9, 9, 8.9, 8.9, 9.1, 9" + }, + "A052": { + "data_entry_person": "Michael Kempe", + "date_entered": "7/28/2025", + "source_title": "PySmarts", + "keywords": "snow", + "file": "SNOW.dat", + "comments": "Taken directly from PySmarts. File dated: 06/05/2004, 12:12:16 PM. Data is emperically extrapolated from 280 nm to 300 nm.", + "wavelength_minimum": 280, + "wavelength_maximum": 2480, + "wavelength": "280, 300, 310, 320, 330, 340, 350, 360, 370, 380, 390, 400, 410, 420, 430, 440, 450, 460, 470, 480, 490, 500, 510, 520, 530, 540, 550, 560, 570, 580, 590, 600, 610, 620, 630, 640, 650, 660, 670, 680, 690, 700, 710, 720, 730, 740, 750, 760, 770, 780, 790, 800, 810, 820, 830, 840, 850, 860, 870, 880, 890, 900, 910, 920, 930, 940, 950, 960, 970, 980, 990, 1000, 1010, 1020, 1030, 1040, 1050, 1060, 1070, 1080, 1090, 1100, 1110, 1120, 1130, 1140, 1150, 1160, 1170, 1180, 1190, 1200, 1210, 1220, 1230, 1240, 1250, 1260, 1270, 1280, 1290, 1300, 1310, 1320, 1330, 1340, 1350, 1360, 1370, 1380, 1390, 1400, 1410, 1420, 1430, 1440, 1450, 1460, 1470, 1480, 1490, 1500, 1510, 1520, 1530, 1540, 1550, 1560, 1570, 1580, 1590, 1600, 1610, 1620, 1630, 1640, 1650, 1660, 1670, 1680, 1690, 1700, 1710, 1720, 1730, 1740, 1750, 1760, 1770, 1780, 1790, 1800, 1810, 1820, 1830, 1840, 1850, 1860, 1870, 1880, 1890, 1900, 1910, 1920, 1930, 1940, 1950, 1960, 1970, 1980, 1990, 2000, 2010, 2020, 2030, 2040, 2050, 2060, 2070, 2080, 2090, 2100, 2110, 2120, 2130, 2140, 2150, 2160, 2170, 2180, 2190, 2200, 2210, 2220, 2230, 2240, 2250, 2260, 2270, 2280, 2290, 2300, 2310, 2320, 2330, 2340, 2350, 2360, 2370, 2380, 2390, 2400, 2410, 2420, 2430, 2440, 2450, 2460, 2470, 2480", + "albedo": "99, 99, 99, 99, 99, 99, 99, 99, 99, 99, 99, 99, 99, 99, 99, 99, 99, 99, 99, 99, 99, 99, 99, 99, 99, 99, 99, 99, 99, 99, 99, 99, 98.6, 98.2, 98.35, 98.5, 98.3, 98.1, 98.2, 98.3, 98.25, 98.2, 98.25, 98.3, 98.3, 98.3, 98.2, 98.1, 97.5, 96.9, 96.8, 96.7, 96.65, 96.6, 96.6, 96.6, 95.75, 94.9, 94.35, 93.8, 92, 90.2, 90, 89.8, 89.55, 89.3, 88.5, 87.7, 84.9, 82.1, 81.3, 80.5, 79.9, 79.3, 79.2, 79.1, 80.25, 81.4, 82.95, 84.5, 84.5, 84.5, 84.1, 83.7, 82.7, 81.7, 77.5, 73.3, 71.5, 69.7, 66.35, 63, 59.9, 56.8, 55.25, 53.7, 53.45, 53.2, 53.3, 53.4, 53.8, 54.2, 54.35, 54.5, 54.4, 54.3, 53.95, 53.6, 52.75, 51.9, 50.3, 48.7, 42.4, 36.1, 27.95, 19.8, 15.75, 11.7, 8, 4.3, 3.9, 3.5, 3.55, 3.6, 3.8, 4, 4.4, 4.8, 5.45, 6.1, 6.75, 7.4, 8.1, 8.8, 9.3, 9.8, 10.55, 11.3, 12.05, 12.8, 13.45, 14.1, 15.05, 16, 16.5, 17, 17.4, 17.8, 18.45, 19.1, 19.8, 20.5, 21.05, 21.6, 21.85, 22.1, 21.7, 21.3, 18.75, 16.2, 11.8, 7.4, 4.55, 1.7, 1.25, 0.8, 0.8, 0.8, 0.8, 0.8, 0.8, 0.8, 0.8, 0.8, 0.8, 0.8, 0.8, 0.8, 0.85, 0.9, 1.2, 1.5, 1.8, 2.1, 3.35, 4.6, 5.75, 6.9, 8.1, 9.3, 9.95, 10.6, 11.85, 13.1, 13.95, 14.8, 14.95, 15.1, 14.25, 13.4, 12.75, 12.1, 9.85, 7.6, 6.45, 5.3, 4.75, 4.2, 3.85, 3.5, 3.15, 2.8, 2.75, 2.7, 2.7, 2.7, 2.15, 1.6, 1.4, 1.2" + }, + "A053": { + "data_entry_person": "Michael Kempe", + "date_entered": "7/28/2025", + "source_title": "PySmarts", + "keywords": "soil", + "file": "SOIL.dat", + "comments": "Taken directly from PySmarts. File dated: 06/05/2004, 12:12:16 PM. ", + "wavelength_minimum": 280, + "wavelength_maximum": 4000, + "wavelength": "280, 285, 290, 295, 300, 305, 310, 315, 320, 325, 330, 335, 340, 345, 350, 355, 360, 365, 370, 375, 380, 385, 390, 395, 400, 405, 410, 415, 420, 425, 430, 435, 440, 445, 450, 455, 460, 465, 470, 475, 480, 485, 490, 495, 500, 505, 510, 515, 520, 525, 530, 535, 540, 545, 550, 555, 560, 565, 570, 575, 580, 585, 590, 595, 600, 605, 610, 620, 630, 640, 650, 660, 670, 680, 690, 700, 710, 720, 730, 740, 750, 760, 770, 780, 790, 800, 810, 820, 830, 840, 850, 860, 870, 880, 890, 900, 910, 920, 930, 940, 950, 960, 970, 980, 990, 1000, 1050, 1100, 1125, 1150, 1200, 1250, 1300, 1350, 1400, 1450, 1500, 1550, 1600, 1650, 1700, 1750, 1800, 1850, 1900, 1950, 2000, 2100, 2200, 2300, 2400, 2500, 2600, 2700, 2800, 2900, 3000, 3100, 3200, 3300, 3400, 3500, 3600, 3700, 3800, 3900, 4000", + "albedo": "3, 3, 3, 3, 3, 3.1, 3.2, 3.3, 3.4, 3.5, 3.5, 3.6, 3.7, 3.8, 3.9, 4, 4.2, 4.3, 4.5, 4.6, 4.7, 4.9, 5, 5.2, 5.3, 5.5, 5.6, 5.8, 5.9, 6.1, 6.2, 6.4, 6.5, 6.7, 6.8, 7, 7.2, 7.4, 7.6, 7.8, 8, 8.2, 8.4, 8.6, 8.8, 9, 9.2, 9.4, 9.6, 9.8, 9.9, 10.1, 10.3, 10.5, 10.7, 10.9, 11.2, 11.4, 11.6, 11.9, 12.1, 12.3, 12.5, 12.8, 13, 13.3, 13.6, 14.1, 14.7, 15.2, 15.8, 16.2, 16.7, 17.1, 17.6, 18, 18.2, 18.4, 18.7, 18.9, 19.1, 19.5, 19.9, 20.2, 20.6, 21, 21.2, 21.4, 21.5, 21.7, 21.9, 22.1, 22.3, 22.6, 22.8, 23, 23.4, 23.8, 24.3, 24.7, 25.1, 25.5, 25.9, 26.2, 26.6, 27, 27.7, 29.2, 29.6, 29.9, 31, 32.1, 32.5, 31.4, 31, 32.8, 34.3, 35, 35.8, 36.5, 37.2, 37.2, 37.2, 36.5, 33.6, 32.8, 35.8, 36.5, 35, 35.8, 34.3, 33.2, 32.5, 32.5, 32.5, 32.5, 32.5, 32.5, 32.5, 32.5, 32.5, 32.5, 32.5, 32.5, 32.5, 32.5, 32.5" + }, + "A054": { + "data_entry_person": "Michael Kempe", + "date_entered": "7/28/2025", + "source_title": "PySmarts", + "keywords": "solid, ice", + "file": "SolidIce.dat", + "comments": "Taken directly from PySmarts. File dated: 06/05/2004, 12:12:16 PM. 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decorators +import os +import re +from datetime import datetime as dt +from datetime import date + +import numpy as np +import pandas as pd +from itertools import product +import bifacialvf +from pathlib import Path +from pvlib import iotools +import sys, platform +from pvdeg.utilities import read_material @decorators.geospatial_quick_shape( @@ -472,3 +485,215 @@ def poa_irradiance_tracker( ) return tracker_poa + +def spectrally_resolved_irradiance(weather_df: pd.DataFrame, meta: dict, wavelengths: np.ndarray, testfolder: Path = None, + spectra_folder: Path = None, + frontResultsOnly: bool = None, + module_mount=None, + tilt=None, + azimuth=None, + axis_tilt=None, + axis_azimuth=None, + albedo=None, + custom_albedo_summer: str | dict = None, + custom_albedo_winter: str | dict = None, + custom_albedo_dict: dict = None, + min_wavelength=280, + max_wavelength=4000, + **kwargs_irradiance: dict) -> pd.DataFrame: + """ + Calculate spectrally resolved irradiance using SMARTS spectra + + Parameters + ---------- + weather_df : pd.DataFrame + Weather data for given location. + meta : dict + Meta data of location. + wavelengths : np.ndarray + Wavelengths for which to calculate the irradiance [nm]. + testfolder : Path, optional + Folder to save the spectra files. If None, no files are saved. + irradiance_kwargs : dict + Additional keyword arguments for the irradiance calculation. + + Returns + ------- + spectral_irradiance : pd.DataFrame + Spectrally resolved irradiance values. + + """ + + import bifacial_radiance as br + + if testfolder is not None: + if not os.path.exists(testfolder): + os.makedirs(testfolder) + + demo = br.RadianceObj('demo') + # meta['TZ'] = meta['tz'] # Ensure timezone is set correctly + metdata = demo.readWeatherData(metadata=meta, metdata=weather_df) + print(metdata) + myTMY3 = demo.metdata.tmydata + print(myTMY3.columns) + myTMY3.rename(columns={'dni': 'DNI', + 'dhi': 'DHI', + 'ghi': 'GHI', + 'temp_air': 'DryBulb', + 'wind_speed': 'Wspd', + 'albedo': 'Alb' + }, inplace=True) + print(myTMY3) + #Run once to generate spectra files, then comment out + if spectra_folder is None: + cwd = os.getcwd() + alb, dni, dhi, ghi = demo.generate_spectra(ground_material='Grass', min_wavelength=min_wavelength, max_wavelength=max_wavelength) + os.chdir(cwd) + spectra_folder = 'spectra' + print("Created new spectra folder: ", spectra_folder) + else: + print("Using existing spectra folder: ", spectra_folder) + + location_name = meta['State']+ '_' + meta['City'] + + demo.generate_spectral_tmys(wavelengths=wavelengths, source = "SAM", spectra_folder=spectra_folder, location_name=location_name) + #myTMY3 = weather_df + # if custom_albedo_df is not None: + # # If a custom albedo DataFrame is provided, use it to set the albedo: + # for alb_name in custom_albedo_df.columns: + # if alb_name in myTMY3.columns: + # myTMY3[alb_name] = custom_albedo_df[alb_name] + + if custom_albedo_dict is not None: + for key, value in custom_albedo_dict.items(): + if isinstance(value, str): + custom_albedo_dict[key] = read_material('Albedo', key=value) + elif isinstance(custom_albedo_dict[key], dict): + custom_albedo_dict[key] = custom_albedo_dict[key] + else: + custom_albedo_dict[key] = None + # else: + # custom_albedo_dict = {} + # custom_albedo_dict['Summer'] = read_material('Albedo', key='A006') + # custom_albedo_dict['Winter'] = read_material('Albedo', key='A008') + #custom_albedo_dict['Summer']['HourOfYear'] = 150 + # custom_albedo_dict['Snow'] = read_material('Albedo', key='A002') #defaults? + + + # custom_albedo_dict = {} + # if isinstance(custom_albedo_summer, str): + # custom_albedo_dict['Summer'] = read_material('Albedo', key=custom_albedo_summer) + # elif isinstance(custom_albedo_summer, dict): + # custom_albedo_dict['Summer'] = custom_albedo_summer + # else: + # custom_albedo_dict['Summer'] = None + # if isinstance(custom_albedo_winter, str): + # custom_albedo_dict['Winter'] = read_material('Albedo', key=custom_albedo_winter) + # elif isinstance(custom_albedo_winter, dict): + # custom_albedo_dict['Winter'] = custom_albedo_winter + # else: + # custom_albedo_dict['Winter'] = None + + meta = meta + print(myTMY3) + deltastyle = 'SAM' # + print(module_mount) + # Variables + if (module_mount == 'fixed'): + # TODO: change for handling HSAT tracking passed or requested + if tilt is None: + try: + tilt = float(meta["tilt"]) + except: + tilt = float(abs(meta["latitude"])) + print( + f"The array tilt angle was not provided, therefore the latitude tilt of {tilt:.1f} was used." + ) + if azimuth is None: # Sets the default orientation to equator facing. + try: + azimuth = float(meta["azimuth"]) + except: + if float(meta["latitude"]) < 0: + azimuth = 0 + else: + azimuth = 180 + print( + f"The array azimuth was not provided, therefore an azimuth of {azimuth:.1f} was used." + ) + tilt = tilt # PV tilt (deg) + sazm = azimuth # PV Azimuth(deg) or tracker axis direction + tracking = False + elif (module_mount == 'single_axis'): + + if axis_azimuth is None: # Sets the default orientation to north-south. + try: + axis_azimuth = float(meta["axis_azimuth"]) + except: + if float(meta["latitude"]) < 0: + axis_azimuth = 0 + else: + axis_azimuth = 180 + print(f"The array axis_azimuth was not provided, therefore an azimuth of {axis_azimuth:.1f} was used.") + + if axis_tilt is None: # Sets the default orientation to horizontal. + try: + axis_tilt = float(meta["axis_tilt"]) + except: + axis_tilt = 0 + print(f"The array axis_tilt was not provided, therefore an axis tilt of 0° was used.") + tilt = axis_tilt + sazm = axis_azimuth + tracking=True + backtrack=False + limit_angle = 50 + else: + raise NotImplementedError(f"The input module_mount '{module_mount}' is not implemented") + + if 'Alb' in myTMY3.columns: + alb_input = None + else: + if albedo is not None: + alb_input = albedo # ground albedo + else: + alb_input = 0.2 #Default? + + + clearance_height=0.4 + pitch = 1.5 # row to row spacing in normalized panel lengths. + rowType = "interior" # RowType(first interior last single) + transFactor = 0.013 # TransmissionFactor(open area fraction) + sensorsy = 6 # sensorsy(# hor rows in panel) <--> THIS ASSUMES LANDSCAPE ORIENTATION + PVfrontSurface = "glass" # PVfrontSurface(glass or ARglass) + PVbackSurface = "glass" # PVbackSurface(glass or ARglass) + + # Calculate PV Output Through Various Methods + # This variables are advanced and explored in other tutorials. + #calculateBilInterpol = True # Only works with landscape at the moment. + #calculatePVMismatch = True + #portraitorlandscape='landscape' # portrait or landscape + #cellsnum = 72 + #bififactor = 1.0 + #agriPV = True # Returns ground irradiance values + + if testfolder is None: + testfolder = Path.cwd() + else: + testfolder = Path(testfolder) + composite_file = os.path.join(testfolder, 'Spectrally_resolved_irradiance.csv') + #spectra_folder = "C:\\Users\\mprillim\\Documents\\Spectral_example\\NSRDB_example\\Tutorial_01\\data\\spectral_tmys" + + spectrum_sums = demo.integrated_spectrum(spectra_folder=r'spectra') + spectrum_sums.to_csv('spectrum_sums.csv') + + print(weather_df) + composite_data = bifacialvf.skycomposition_method(myTMY3=myTMY3, spectral_file_path='data/spectral_tmys', lambda_range=wavelengths, integrated_spectrum=spectrum_sums, meta=meta, + custom_albedo_dict=custom_albedo_dict, frontResultsOnly=frontResultsOnly, writefiletitle=composite_file, + tilt=tilt, sazm=sazm, pitch=pitch, clearance_height=clearance_height, + rowType=rowType, transFactor=transFactor, sensorsy=sensorsy, + PVfrontSurface=PVfrontSurface, PVbackSurface=PVbackSurface, + albedo=alb_input, tracking=tracking, backtrack=backtrack, + limit_angle=limit_angle, deltastyle=deltastyle) + composite_data['RH'] = weather_df['relative_humidity'] + return composite_data + + diff --git a/pvdeg/utilities.py b/pvdeg/utilities.py index d0801580a..110aea80c 100644 --- a/pvdeg/utilities.py +++ b/pvdeg/utilities.py @@ -21,7 +21,7 @@ "H2Opermeation": os.path.join(DATA_DIR, "H2Opermeation.json"), "O2permeation": os.path.join(DATA_DIR, "O2permeation.json"), "DegradationDatabase": os.path.join(DATA_DIR, "DegradationDatabase.json"), - "albedo.json": os.path.join(DATA_DIR, "albedo.json"), + "Albedo": os.path.join(DATA_DIR, "albedo.json"), } diff --git a/tutorials_and_tools/tutorials_and_tools/Tools - Degradation.ipynb b/tutorials_and_tools/tutorials_and_tools/Tools - Degradation.ipynb index 878c2cd40..aaa016542 100644 --- a/tutorials_and_tools/tutorials_and_tools/Tools - Degradation.ipynb +++ b/tutorials_and_tools/tutorials_and_tools/Tools - Degradation.ipynb @@ -24,24 +24,15 @@ "4. Run Monte Carlo simulation at a single site\n", "5. Generate chamber or field data for environmental comparison\n", "6. Calculate degradation acceleration factor of field location to chamber (or another location)\n", - "7. Produce a map of acceleration factors for a geographic region\n", - " Select a geographic region of interest \n", - " downsample to select specific site coordinates\n", - " Download or access the meteorological data for the chosen site coordinates.\n", - " Run the calculation" + "7. Run Monte Carlo simulation of the acceleration factor for a single site\n", + "8. Select a region of interest and specific data points\n", + "9. Produce a map of acceleration factors for a region" ] }, { "cell_type": "code", "execution_count": 1, - "metadata": { - "execution": { - "iopub.execute_input": "2025-10-04T11:18:49.852022Z", - "iopub.status.busy": "2025-10-04T11:18:49.851767Z", - "iopub.status.idle": "2025-10-04T11:18:49.857579Z", - "shell.execute_reply": "2025-10-04T11:18:49.856921Z" - } - }, + "metadata": {}, "outputs": [], "source": [ "# if running on google colab, uncomment the next line and execute this cell to install the dependencies and prevent \"ModuleNotFoundError\" in later cells:\n", @@ -50,21 +41,14 @@ }, { "cell_type": "code", - "execution_count": 2, - "metadata": { - "execution": { - "iopub.execute_input": "2025-10-04T11:18:49.860251Z", - "iopub.status.busy": "2025-10-04T11:18:49.859957Z", - "iopub.status.idle": "2025-10-04T11:18:53.637957Z", - "shell.execute_reply": "2025-10-04T11:18:53.637122Z" - } - }, + "execution_count": 1, + "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ - "0.13.0\n" + "0.13.1\n" ] } ], @@ -72,9 +56,9 @@ "import os\n", "import pvdeg\n", "import pandas as pd\n", - "import numpy as np\n", "from pvdeg import DATA_DIR\n", "import json\n", + "import numpy as np\n", "from IPython.display import display, Math\n", "\n", "import pvlib\n", @@ -84,25 +68,18 @@ }, { "cell_type": "code", - "execution_count": 3, - "metadata": { - "execution": { - "iopub.execute_input": "2025-10-04T11:18:53.668139Z", - "iopub.status.busy": "2025-10-04T11:18:53.667513Z", - "iopub.status.idle": "2025-10-04T11:18:53.672857Z", - "shell.execute_reply": "2025-10-04T11:18:53.672210Z" - } - }, + "execution_count": 2, + "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ - "Working on a Windows 11\n", - "Python version 3.13.5 | packaged by Anaconda, Inc. | (main, Jun 12 2025, 16:37:03) [MSC v.1929 64 bit (AMD64)]\n", - "Pandas version 2.3.1\n", - "pvdeg version 0.5.1.dev827+g0d99dc8b2\n", - "C:\\Users\\mspringe\\OneDrive - NREL\\msp\\projects\\2023_DegradationTools\\Github\\PVDegradationTools\\pvdeg\\data\n" + "Working on a Windows 10\n", + "Python version 3.11.7 | packaged by Anaconda, Inc. | (main, Dec 15 2023, 18:05:47) [MSC v.1916 64 bit (AMD64)]\n", + "Pandas version 2.1.4\n", + "pvdeg version 0.1.dev1152+gfbac6aa1f.d20250917\n", + "C:\\Users\\mprillim\\sam_dev\\PVDegradationTools\\pvdeg\\data\n" ] } ], @@ -131,58 +108,318 @@ }, { "cell_type": "code", - "execution_count": 4, - "metadata": { - "execution": { - "iopub.execute_input": "2025-10-04T11:18:53.676158Z", - "iopub.status.busy": "2025-10-04T11:18:53.675754Z", - "iopub.status.idle": "2025-10-04T11:18:54.699944Z", - "shell.execute_reply": "2025-10-04T11:18:54.698885Z" - } - }, + "execution_count": 3, + "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ - "C:\\Users\\mspringe\\OneDrive - NREL\\msp\\projects\\2023_DegradationTools\\Github\\PVDegradationTools\\pvdeg\\data\\psm3_demo.csv\n", - "{'Source': 'NSRDB', 'Location ID': 145809.0, 'City': 'West Pleasant View', 'State': 'Colorado', 'Country': 'United States', 'Clearsky DHI Units': 'w/m2', 'Clearsky DNI Units': 'w/m2', 'Clearsky GHI Units': 'w/m2', 'Dew Point Units': 'c', 'DHI Units': 'w/m2', 'DNI Units': 'w/m2', 'GHI Units': 'w/m2', 'Solar Zenith Angle Units': 'Degree', 'Temperature Units': 'c', 'Pressure Units': 'mbar', 'Relative Humidity Units': '%', 'Precipitable Water Units': 'cm', 'Wind Direction Units': 'Degrees', 'Wind Speed Units': 'm/s', 'Cloud Type -15': 'N/A', 'Cloud Type 0': 'Clear', 'Cloud Type 1': 'Probably Clear', 'Cloud Type 2': 'Fog', 'Cloud Type 3': 'Water', 'Cloud Type 4': 'Super-Cooled Water', 'Cloud Type 5': 'Mixed', 'Cloud Type 6': 'Opaque Ice', 'Cloud Type 7': 'Cirrus', 'Cloud Type 8': 'Overlapping', 'Cloud Type 9': 'Overshooting', 'Cloud Type 10': 'Unknown', 'Cloud Type 11': 'Dust', 'Cloud Type 12': 'Smoke', 'Fill Flag 0': 'N/A', 'Fill Flag 1': 'Missing Image', 'Fill Flag 2': 'Low Irradiance', 'Fill Flag 3': 'Exceeds Clearsky', 'Fill Flag 4': 'Missing CLoud Properties', 'Fill Flag 5': 'Rayleigh Violation', 'Surface Albedo Units': 'N/A', 'Version': '3.0.6', 'latitude': 39.73, 'longitude': -105.18, 'tz': -7.0, 'altitude': 1820.0, 'ISO3166-2-lvl4': 'US-CO', 'Street': 'West 8th Avenue', 'County': 'Jefferson County', 'Zipcode': '80419', 'Country Code': 'US'}\n" + " Year Month Day Hour Minute dni dhi ghi \\\n", + "1999-01-01 00:30:00-07:00 1999 1 1 0 30 0.0 0.0 0.0 \n", + "1999-01-01 01:30:00-07:00 1999 1 1 1 30 0.0 0.0 0.0 \n", + "1999-01-01 02:30:00-07:00 1999 1 1 2 30 0.0 0.0 0.0 \n", + "1999-01-01 03:30:00-07:00 1999 1 1 3 30 0.0 0.0 0.0 \n", + "1999-01-01 04:30:00-07:00 1999 1 1 4 30 0.0 0.0 0.0 \n", + "... ... ... ... ... ... ... ... ... \n", + "1999-12-31 19:30:00-07:00 1999 12 31 19 30 0.0 0.0 0.0 \n", + "1999-12-31 20:30:00-07:00 1999 12 31 20 30 0.0 0.0 0.0 \n", + "1999-12-31 21:30:00-07:00 1999 12 31 21 30 0.0 0.0 0.0 \n", + "1999-12-31 22:30:00-07:00 1999 12 31 22 30 0.0 0.0 0.0 \n", + "1999-12-31 23:30:00-07:00 1999 12 31 23 30 0.0 0.0 0.0 \n", + "\n", + " temp_air dew_point wind_speed relative_humidity \n", + "1999-01-01 00:30:00-07:00 0.0 -5.0 1.8 79.39 \n", + "1999-01-01 01:30:00-07:00 0.0 -4.0 1.7 80.84 \n", + "1999-01-01 02:30:00-07:00 0.0 -4.0 1.5 82.98 \n", + "1999-01-01 03:30:00-07:00 0.0 -4.0 1.3 85.01 \n", + "1999-01-01 04:30:00-07:00 0.0 -4.0 1.3 85.81 \n", + "... ... ... ... ... \n", + "1999-12-31 19:30:00-07:00 0.0 -3.0 0.9 83.63 \n", + "1999-12-31 20:30:00-07:00 0.0 -3.0 1.2 86.82 \n", + "1999-12-31 21:30:00-07:00 0.0 -4.0 1.6 83.78 \n", + "1999-12-31 22:30:00-07:00 0.0 -4.0 1.7 81.22 \n", + "1999-12-31 23:30:00-07:00 0.0 -5.0 1.8 79.43 \n", + "\n", + "[8760 rows x 12 columns]\n", + "{'Source': 'NSRDB', 'Location ID': 145809.0, 'City': '-', 'State': '-', 'Country': '-', 'Clearsky DHI Units': 'w/m2', 'Clearsky DNI Units': 'w/m2', 'Clearsky GHI Units': 'w/m2', 'Dew Point Units': 'c', 'DHI Units': 'w/m2', 'DNI Units': 'w/m2', 'GHI Units': 'w/m2', 'Solar Zenith Angle Units': 'Degree', 'Temperature Units': 'c', 'Pressure Units': 'mbar', 'Relative Humidity Units': '%', 'Precipitable Water Units': 'cm', 'Wind Direction Units': 'Degrees', 'Wind Speed Units': 'm/s', 'Cloud Type -15': 'N/A', 'Cloud Type 0': 'Clear', 'Cloud Type 1': 'Probably Clear', 'Cloud Type 2': 'Fog', 'Cloud Type 3': 'Water', 'Cloud Type 4': 'Super-Cooled Water', 'Cloud Type 5': 'Mixed', 'Cloud Type 6': 'Opaque Ice', 'Cloud Type 7': 'Cirrus', 'Cloud Type 8': 'Overlapping', 'Cloud Type 9': 'Overshooting', 'Cloud Type 10': 'Unknown', 'Cloud Type 11': 'Dust', 'Cloud Type 12': 'Smoke', 'Fill Flag 0': 'N/A', 'Fill Flag 1': 'Missing Image', 'Fill Flag 2': 'Low Irradiance', 'Fill Flag 3': 'Exceeds Clearsky', 'Fill Flag 4': 'Missing CLoud Properties', 'Fill Flag 5': 'Rayleigh Violation', 'Surface Albedo Units': 'N/A', 'Version': '3.0.6', 'latitude': 39.73, 'longitude': -105.18, 'tz': -7.0, 'altitude': 1820.0}\n", + "{'Source': 'NSRDB', 'Location ID': 145809.0, 'City': 'West Pleasant View', 'State': 'Colorado', 'Country': 'United States of America', 'Clearsky DHI Units': 'w/m2', 'Clearsky DNI Units': 'w/m2', 'Clearsky GHI Units': 'w/m2', 'Dew Point Units': 'c', 'DHI Units': 'w/m2', 'DNI Units': 'w/m2', 'GHI Units': 'w/m2', 'Solar Zenith Angle Units': 'Degree', 'Temperature Units': 'c', 'Pressure Units': 'mbar', 'Relative Humidity Units': '%', 'Precipitable Water Units': 'cm', 'Wind Direction Units': 'Degrees', 'Wind Speed Units': 'm/s', 'Cloud Type -15': 'N/A', 'Cloud Type 0': 'Clear', 'Cloud Type 1': 'Probably Clear', 'Cloud Type 2': 'Fog', 'Cloud Type 3': 'Water', 'Cloud Type 4': 'Super-Cooled Water', 'Cloud Type 5': 'Mixed', 'Cloud Type 6': 'Opaque Ice', 'Cloud Type 7': 'Cirrus', 'Cloud Type 8': 'Overlapping', 'Cloud Type 9': 'Overshooting', 'Cloud Type 10': 'Unknown', 'Cloud Type 11': 'Dust', 'Cloud Type 12': 'Smoke', 'Fill Flag 0': 'N/A', 'Fill Flag 1': 'Missing Image', 'Fill Flag 2': 'Low Irradiance', 'Fill Flag 3': 'Exceeds Clearsky', 'Fill Flag 4': 'Missing CLoud Properties', 'Fill Flag 5': 'Rayleigh Violation', 'Surface Albedo Units': 'N/A', 'Version': '3.0.6', 'latitude': 39.73, 'longitude': -105.18, 'tz': -7.0, 'altitude': 1820.0, 'ISO3166-2-lvl4': 'US-CO', 'Street': 'West 8th Avenue', 'County': 'Jefferson County', 'Zipcode': '80419', 'Country Code': 'US'}\n" ] } ], "source": [ "# Get data from a supplied data file (Do not use the next box of code if using your own file)\n", "weather_file = os.path.join(DATA_DIR, 'psm3_demo.csv')\n", - "weather_df, meta = pvdeg.weather.read(weather_file,'csv', find_meta=True)\n", - "print(weather_file)\n", + "weather_df, meta = pvdeg.weather.read(weather_file,'csv',find_meta=False)\n", + "print(weather_df)\n", + "print(meta)\n", + "\n", + "meta = pvdeg.weather.map_meta(meta)\n", + "meta = pvdeg.weather.find_metadata(meta)\n", "print(meta)" ] }, { "cell_type": "code", - "execution_count": 5, - "metadata": { - "execution": { - "iopub.execute_input": "2025-10-04T11:18:54.702676Z", - "iopub.status.busy": "2025-10-04T11:18:54.702326Z", - "iopub.status.idle": "2025-10-04T11:18:58.223242Z", - "shell.execute_reply": "2025-10-04T11:18:58.221656Z" - } - }, + "execution_count": 4, + "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ - "\r", - " Column \"relative_humidity\" not found in DataFrame. Calculating...\r", - " \r", - "{'Source': 'NSRDB', 'Location ID': '77855', 'City': 'Mesa', 'State': 'Arizona', 'Country': 'United States', 'Dew Point Units': 'c', 'DHI Units': 'w/m2', 'DNI Units': 'w/m2', 'GHI Units': 'w/m2', 'Temperature Units': 'c', 'Pressure Units': 'mbar', 'Wind Direction Units': 'Degrees', 'Wind Speed Units': 'm/s', 'Surface Albedo Units': 'N/A', 'Version': '3.2.0', 'latitude': 33.41, 'longitude': -111.82, 'altitude': 381, 'tz': -7, 'wind_height': 2, 'house_number': '501', 'retail': 'Old West Plaza', 'ISO3166-2-lvl4': 'US-AZ', 'Street': 'East 2nd Avenue', 'County': 'Maricopa County', 'Zipcode': '85204', 'Country Code': 'US'}\n" + " temp_air relative_humidity ghi dni dhi \\\n", + "time(UTC) \n", + "1990-01-01 00:00:00+00:00 7.48 66.54 10.0 0.00 10.0 \n", + "1990-01-01 01:00:00+00:00 7.14 67.89 0.0 0.00 0.0 \n", + "1990-01-01 02:00:00+00:00 6.79 69.23 0.0 0.00 0.0 \n", + "1990-01-01 03:00:00+00:00 6.45 70.58 0.0 0.00 0.0 \n", + "1990-01-01 04:00:00+00:00 6.11 71.92 0.0 0.00 0.0 \n", + "... ... ... ... ... ... \n", + "1990-12-31 19:00:00+00:00 9.20 59.82 592.0 945.23 76.0 \n", + "1990-12-31 20:00:00+00:00 8.85 61.16 593.0 946.11 76.0 \n", + "1990-12-31 21:00:00+00:00 8.51 62.51 530.0 923.10 73.0 \n", + "1990-12-31 22:00:00+00:00 8.17 63.85 407.0 865.21 65.0 \n", + "1990-12-31 23:00:00+00:00 7.82 65.20 240.0 740.54 52.0 \n", + "\n", + " IR(h) wind_speed wind_direction pressure \n", + "time(UTC) \n", + "1990-01-01 00:00:00+00:00 269.07 1.59 156.0 96989.0 \n", + "1990-01-01 01:00:00+00:00 269.14 1.54 110.0 97008.0 \n", + "1990-01-01 02:00:00+00:00 269.22 1.49 106.0 97036.0 \n", + "1990-01-01 03:00:00+00:00 269.29 1.44 140.0 97103.0 \n", + "1990-01-01 04:00:00+00:00 269.36 1.39 189.0 97103.0 \n", + "... ... ... ... ... \n", + "1990-12-31 19:00:00+00:00 268.72 1.84 255.0 97552.0 \n", + "1990-12-31 20:00:00+00:00 268.79 1.79 259.0 97466.0 \n", + "1990-12-31 21:00:00+00:00 268.86 1.74 271.0 97447.0 \n", + "1990-12-31 22:00:00+00:00 268.93 1.69 280.0 97476.0 \n", + "1990-12-31 23:00:00+00:00 269.00 1.64 282.0 97457.0 \n", + "\n", + "[8760 rows x 9 columns]\n", + "{'latitude': 33.4152, 'longitude': -111.8315, 'irradiance_time_offset': 0.0, 'altitude': 381.0, 'wind_height': 10, 'Source': 'PVGIS'}\n" ] + }, + { + "data": { + "text/html": [ + "
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temp_airrelative_humidityghidnidhiIR(h)wind_speedwind_directionpressure
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..............................
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" + ], + "text/plain": [ + " temp_air relative_humidity ghi dni dhi \\\n", + "time(UTC) \n", + "1990-01-01 00:00:00+00:00 7.48 66.54 10.0 0.00 10.0 \n", + "1990-01-01 01:00:00+00:00 7.14 67.89 0.0 0.00 0.0 \n", + "1990-01-01 02:00:00+00:00 6.79 69.23 0.0 0.00 0.0 \n", + "1990-01-01 03:00:00+00:00 6.45 70.58 0.0 0.00 0.0 \n", + "1990-01-01 04:00:00+00:00 6.11 71.92 0.0 0.00 0.0 \n", + "... ... ... ... ... ... \n", + "1990-12-31 19:00:00+00:00 9.20 59.82 592.0 945.23 76.0 \n", + "1990-12-31 20:00:00+00:00 8.85 61.16 593.0 946.11 76.0 \n", + "1990-12-31 21:00:00+00:00 8.51 62.51 530.0 923.10 73.0 \n", + "1990-12-31 22:00:00+00:00 8.17 63.85 407.0 865.21 65.0 \n", + "1990-12-31 23:00:00+00:00 7.82 65.20 240.0 740.54 52.0 \n", + "\n", + " IR(h) wind_speed wind_direction pressure \n", + "time(UTC) \n", + "1990-01-01 00:00:00+00:00 269.07 1.59 156.0 96989.0 \n", + "1990-01-01 01:00:00+00:00 269.14 1.54 110.0 97008.0 \n", + "1990-01-01 02:00:00+00:00 269.22 1.49 106.0 97036.0 \n", + "1990-01-01 03:00:00+00:00 269.29 1.44 140.0 97103.0 \n", + "1990-01-01 04:00:00+00:00 269.36 1.39 189.0 97103.0 \n", + "... ... ... ... ... \n", + "1990-12-31 19:00:00+00:00 268.72 1.84 255.0 97552.0 \n", + "1990-12-31 20:00:00+00:00 268.79 1.79 259.0 97466.0 \n", + "1990-12-31 21:00:00+00:00 268.86 1.74 271.0 97447.0 \n", + "1990-12-31 22:00:00+00:00 268.93 1.69 280.0 97476.0 \n", + "1990-12-31 23:00:00+00:00 269.00 1.64 282.0 97457.0 \n", + "\n", + "[8760 rows x 9 columns]" + ] + }, + "metadata": {}, + "output_type": "display_data" } ], "source": [ - "# This routine will get a meteorological dataset from anywhere in the world where it is available\n", + "# This routine will get a meteorological dataset from anywhere in the world where it is available \n", "#weather_id = (24.7136, 46.6753) #Riyadh, Saudi Arabia\n", "#weather_id = (35.6754, 139.65) #Tokyo, Japan\n", "#weather_id = (-43.52646, 172.62165) #Christchurch, New Zealand\n", @@ -190,9 +427,19 @@ "#weather_id = (65.14037, -21.91633) #Reykjavik, Iceland\n", "weather_id = (33.4152, -111.8315) #Mesa, Arizona\n", "#weather_id = (0,0) # Somewhere else you are interested in.\n", - "weather_df, meta = pvdeg.weather.get_anywhere(id=weather_id)\n", + "weather_arg = {\n", + " \"api_key\": \"x49AVPQbyYBOFkjtj91XZf8CSWq3NWza2sajAGT8\", \n", + " \"email\": \"mprillim@nrel.gov\",\n", + " \"names\": \"tmy\",\n", + " \"attributes\": [],\n", + " \"map_variables\": True,\n", + " \"geospatial\": False,\n", + " \"find_meta\": True\n", + "}\n", + "weather_df, meta = pvdeg.weather.get_anywhere(id=weather_id, **weather_arg)\n", + "print(weather_df)\n", "print(meta)\n", - "#display(weather_df)" + "display(weather_df)" ] }, { @@ -206,34 +453,58 @@ "Look in spectral.py and/or PVLib here for 1-axis kwargs, \n", "https://pvlib-python.readthedocs.io/en/v0.7.2/generated/pvlib.tracking.singleaxis.html#pvlib.tracking.singleaxis \n", "and for fixed tilt, \n", - "https://pvlib-python.readthedocs.io/en/v0.7.2/generated/pvlib.irradiance.gti_dirint.html?highlight=poa . \n", - "Here, the POA global calculation is appended to the meteorolgical data dataframe." + "https://pvlib-python.readthedocs.io/en/v0.7.2/generated/pvlib.irradiance.gti_dirint.html?highlight=poa . " ] }, { "cell_type": "code", - "execution_count": 6, - "metadata": { - "execution": { - "iopub.execute_input": "2025-10-04T11:18:58.229658Z", - "iopub.status.busy": "2025-10-04T11:18:58.229089Z", - "iopub.status.idle": "2025-10-04T11:18:58.269241Z", - "shell.execute_reply": "2025-10-04T11:18:58.268059Z" + "execution_count": null, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "The array axis_azimuth was not provided, therefore an azimuth of 180.0 was used.\n", + "The array axis_tilt was not provided, therefore an axis tilt of 0° was used.\n" + ] } - }, - "outputs": [], + ], "source": [ "#irradiance_kwarg ={\n", " #\"tilt\": None,\n", " #\"azimuth\": None,\n", " #\"module_mount\": 'fixed'}\n", "irradiance_kwarg ={\n", - " \"axis_tilt\": 0,\n", - " \"axis_azimuth\": 180,\n", + " \"axis_tilt\": None,\n", + " \"axis_azimuth\": None,\n", + " # \"albedo\": 0.2, #If there is no albedo in weather file, set a default value here. \n", " \"module_mount\": 'single_axis'}\n", "poa_df = pvdeg.spectral.poa_irradiance(weather_df=weather_df, meta=meta, **irradiance_kwarg)\n", - "\n", - "weather_df['poa_global'] = poa_df['poa_global']" + "#display(poa_df)" + ] + }, + { + "cell_type": "code", + "execution_count": 5, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "False\n", + "Empty DataFrame\n", + "Columns: []\n", + "Index: [1999-01-01 00:30:00-07:00, 1999-01-01 01:30:00-07:00, 1999-01-01 02:30:00-07:00, 1999-01-01 03:30:00-07:00, 1999-01-01 04:30:00-07:00, 1999-01-01 05:30:00-07:00, 1999-01-01 06:30:00-07:00, 1999-01-01 07:30:00-07:00, 1999-01-01 08:30:00-07:00, 1999-01-01 09:30:00-07:00, 1999-01-01 10:30:00-07:00, 1999-01-01 11:30:00-07:00, 1999-01-01 12:30:00-07:00, 1999-01-01 13:30:00-07:00, 1999-01-01 14:30:00-07:00, 1999-01-01 15:30:00-07:00, 1999-01-01 16:30:00-07:00, 1999-01-01 17:30:00-07:00, 1999-01-01 18:30:00-07:00, 1999-01-01 19:30:00-07:00, 1999-01-01 20:30:00-07:00, 1999-01-01 21:30:00-07:00, 1999-01-01 22:30:00-07:00, 1999-01-01 23:30:00-07:00, 1999-01-02 00:30:00-07:00, 1999-01-02 01:30:00-07:00, 1999-01-02 02:30:00-07:00, 1999-01-02 03:30:00-07:00, 1999-01-02 04:30:00-07:00, 1999-01-02 05:30:00-07:00, 1999-01-02 06:30:00-07:00, 1999-01-02 07:30:00-07:00, 1999-01-02 08:30:00-07:00, 1999-01-02 09:30:00-07:00, 1999-01-02 10:30:00-07:00, 1999-01-02 11:30:00-07:00, 1999-01-02 12:30:00-07:00, 1999-01-02 13:30:00-07:00, 1999-01-02 14:30:00-07:00, 1999-01-02 15:30:00-07:00, 1999-01-02 16:30:00-07:00, 1999-01-02 17:30:00-07:00, 1999-01-02 18:30:00-07:00, 1999-01-02 19:30:00-07:00, 1999-01-02 20:30:00-07:00, 1999-01-02 21:30:00-07:00, 1999-01-02 22:30:00-07:00, 1999-01-02 23:30:00-07:00, 1999-01-03 00:30:00-07:00, 1999-01-03 01:30:00-07:00, 1999-01-03 02:30:00-07:00, 1999-01-03 03:30:00-07:00, 1999-01-03 04:30:00-07:00, 1999-01-03 05:30:00-07:00, 1999-01-03 06:30:00-07:00, 1999-01-03 07:30:00-07:00, 1999-01-03 08:30:00-07:00, 1999-01-03 09:30:00-07:00, 1999-01-03 10:30:00-07:00, 1999-01-03 11:30:00-07:00, 1999-01-03 12:30:00-07:00, 1999-01-03 13:30:00-07:00, 1999-01-03 14:30:00-07:00, 1999-01-03 15:30:00-07:00, 1999-01-03 16:30:00-07:00, 1999-01-03 17:30:00-07:00, 1999-01-03 18:30:00-07:00, 1999-01-03 19:30:00-07:00, 1999-01-03 20:30:00-07:00, 1999-01-03 21:30:00-07:00, 1999-01-03 22:30:00-07:00, 1999-01-03 23:30:00-07:00, 1999-01-04 00:30:00-07:00, 1999-01-04 01:30:00-07:00, 1999-01-04 02:30:00-07:00, 1999-01-04 03:30:00-07:00, 1999-01-04 04:30:00-07:00, 1999-01-04 05:30:00-07:00, 1999-01-04 06:30:00-07:00, 1999-01-04 07:30:00-07:00, 1999-01-04 08:30:00-07:00, 1999-01-04 09:30:00-07:00, 1999-01-04 10:30:00-07:00, 1999-01-04 11:30:00-07:00, 1999-01-04 12:30:00-07:00, 1999-01-04 13:30:00-07:00, 1999-01-04 14:30:00-07:00, 1999-01-04 15:30:00-07:00, 1999-01-04 16:30:00-07:00, 1999-01-04 17:30:00-07:00, 1999-01-04 18:30:00-07:00, 1999-01-04 19:30:00-07:00, 1999-01-04 20:30:00-07:00, 1999-01-04 21:30:00-07:00, 1999-01-04 22:30:00-07:00, 1999-01-04 23:30:00-07:00, 1999-01-05 00:30:00-07:00, 1999-01-05 01:30:00-07:00, 1999-01-05 02:30:00-07:00, 1999-01-05 03:30:00-07:00, ...]\n", + "\n", + "[8760 rows x 0 columns]\n" + ] + } + ], + "source": [ + "print(weather_df.index.duplicated().any())\n", + "print(weather_df.loc[:,weather_df.columns.duplicated()])" ] }, { @@ -247,21 +518,1434 @@ }, { "cell_type": "code", - "execution_count": 7, - "metadata": { - "execution": { - "iopub.execute_input": "2025-10-04T11:18:58.273238Z", - "iopub.status.busy": "2025-10-04T11:18:58.272896Z", - "iopub.status.idle": "2025-10-04T11:18:58.290765Z", - "shell.execute_reply": "2025-10-04T11:18:58.290052Z" - } - }, + "execution_count": null, + "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ - "C:\\Users\\mspringe\\OneDrive - NREL\\msp\\projects\\2023_DegradationTools\\Github\\PVDegradationTools\\tests\\data\\spectra_pytest.csv\n" + "C:\\Users\\mprillim\\sam_dev\\PVDegradationTools\\tests\\data\\spectra_pytest.csv\n", + "path = c:\\Users\\mprillim\\sam_dev\\PVDegradationTools\\tutorials_and_tools\\tutorials_and_tools\n", + "8760 line in WeatherFile. Assuming this is a standard hourly WeatherFile for the year for purposes of saving Gencumulativesky temporary weather files in EPW folder.\n", + "Saving file EPWs\\metdata_temp.csv, # points: 8760\n", + "Calculating Sun position for center labeled data, at exact timestamp in input Weather File\n", + ".metadata:\n", + "{'latitude': 39.73, 'longitude': -105.18, 'elevation': 1820.0, 'timezone': -7.0, 'city': '-', 'label': 'center'}\n", + ".tmydata:\n", + " \n", + "DatetimeIndex: 4301 entries, 1999-01-01 08:30:00-07:00 to 1999-12-31 16:30:00-07:00\n", + "Data columns (total 5 columns):\n", + " # Column Non-Null Count Dtype \n", + "--- ------ -------------- ----- \n", + " 0 ghi 4301 non-null float64\n", + " 1 dhi 4301 non-null float64\n", + " 2 dni 4301 non-null float64\n", + " 3 temp_air 4301 non-null float64\n", + " 4 wind_speed 4301 non-null float64\n", + "dtypes: float64(5)\n", + "\n", + "Index(['ghi', 'dhi', 'dni', 'temp_air', 'wind_speed'], dtype='object')\n", + " GHI DHI DNI DryBulb Wspd\n", + "1999-01-01 08:30:00-07:00 76.0 65.0 65.0 1.0 4.7\n", + "1999-01-01 09:30:00-07:00 246.0 93.0 503.0 2.0 6.3\n", + "1999-01-01 10:30:00-07:00 355.0 109.0 617.0 3.0 7.0\n", + "1999-01-01 11:30:00-07:00 385.0 161.0 497.0 4.0 6.8\n", + "1999-01-01 12:30:00-07:00 128.0 128.0 0.0 4.0 6.5\n", + "... ... ... ... ... ...\n", + "1999-12-31 12:30:00-07:00 20.0 20.0 0.0 9.0 1.6\n", + "1999-12-31 13:30:00-07:00 354.0 125.0 562.0 8.0 0.5\n", + "1999-12-31 14:30:00-07:00 263.0 94.0 530.0 7.0 0.4\n", + "1999-12-31 15:30:00-07:00 159.0 38.0 636.0 5.0 1.0\n", + "1999-12-31 16:30:00-07:00 21.0 21.0 0.0 4.0 1.3\n", + "\n", + "[4301 rows x 5 columns]\n", + "Using existing spectra folder: spectra\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Generating Spectral TMYs: 100%|███████████████████████████████████████| 5/5 [00:30<00:00, 6.19s/it]\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + " GHI DHI DNI DryBulb Wspd\n", + "1999-01-01 08:30:00-07:00 76.0 65.0 65.0 1.0 4.7\n", + "1999-01-01 09:30:00-07:00 246.0 93.0 503.0 2.0 6.3\n", + "1999-01-01 10:30:00-07:00 355.0 109.0 617.0 3.0 7.0\n", + "1999-01-01 11:30:00-07:00 385.0 161.0 497.0 4.0 6.8\n", + "1999-01-01 12:30:00-07:00 128.0 128.0 0.0 4.0 6.5\n", + "... ... ... ... ... ...\n", + "1999-12-31 12:30:00-07:00 20.0 20.0 0.0 9.0 1.6\n", + "1999-12-31 13:30:00-07:00 354.0 125.0 562.0 8.0 0.5\n", + "1999-12-31 14:30:00-07:00 263.0 94.0 530.0 7.0 0.4\n", + "1999-12-31 15:30:00-07:00 159.0 38.0 636.0 5.0 1.0\n", + "1999-12-31 16:30:00-07:00 21.0 21.0 0.0 4.0 1.3\n", + "\n", + "[4301 rows x 5 columns]\n", + "single_axis\n", + "The array axis_azimuth was not provided, therefore an azimuth of 180.0 was used.\n", + "The array axis_tilt was not provided, therefore an axis tilt of 0° was used.\n", + " Year Month Day Hour Minute DNI DHI GHI \\\n", + "1999-01-01 00:30:00-07:00 1999 1 1 0 30 0.0 0.0 0.0 \n", + "1999-01-01 01:30:00-07:00 1999 1 1 1 30 0.0 0.0 0.0 \n", + "1999-01-01 02:30:00-07:00 1999 1 1 2 30 0.0 0.0 0.0 \n", + "1999-01-01 03:30:00-07:00 1999 1 1 3 30 0.0 0.0 0.0 \n", + "1999-01-01 04:30:00-07:00 1999 1 1 4 30 0.0 0.0 0.0 \n", + "... ... ... ... ... ... ... ... ... \n", + "1999-12-31 19:30:00-07:00 1999 12 31 19 30 0.0 0.0 0.0 \n", + "1999-12-31 20:30:00-07:00 1999 12 31 20 30 0.0 0.0 0.0 \n", + "1999-12-31 21:30:00-07:00 1999 12 31 21 30 0.0 0.0 0.0 \n", + "1999-12-31 22:30:00-07:00 1999 12 31 22 30 0.0 0.0 0.0 \n", + "1999-12-31 23:30:00-07:00 1999 12 31 23 30 0.0 0.0 0.0 \n", + "\n", + " temp_air dew_point Wspd relative_humidity \n", + "1999-01-01 00:30:00-07:00 0.0 -5.0 1.8 79.39 \n", + "1999-01-01 01:30:00-07:00 0.0 -4.0 1.7 80.84 \n", + "1999-01-01 02:30:00-07:00 0.0 -4.0 1.5 82.98 \n", + "1999-01-01 03:30:00-07:00 0.0 -4.0 1.3 85.01 \n", + "1999-01-01 04:30:00-07:00 0.0 -4.0 1.3 85.81 \n", + "... ... ... ... ... \n", + "1999-12-31 19:30:00-07:00 0.0 -3.0 0.9 83.63 \n", + "1999-12-31 20:30:00-07:00 0.0 -3.0 1.2 86.82 \n", + "1999-12-31 21:30:00-07:00 0.0 -4.0 1.6 83.78 \n", + "1999-12-31 22:30:00-07:00 0.0 -4.0 1.7 81.22 \n", + "1999-12-31 23:30:00-07:00 0.0 -5.0 1.8 79.43 \n", + "\n", + "[8760 rows x 12 columns]\n", + "Warning: clearance_height passed and is being used as hub_height for the tracking routine\n", + "Warning: tracker hub height C < 0.5 may result in ground clearance errors\n", + "Calculating Sun position with a delta of +30 mins. i.e. 12 is 12:30 sunpos\n", + " \n", + "********* \n", + "Running Simulation for TMY3: \n", + "Location: -\n", + "Lat: 39.73 Long: -105.18 Tz -7.0\n", + "Parameters: tilt: 0 Sazm: 180 Hub_Height : 0.4 Pitch: 1.5 Row type: interior Albedo: 0.62\n", + "Saving into c:\\Users\\mprillim\\sam_dev\\PVDegradationTools\\tutorials_and_tools\\tutorials_and_tools\\Spectrally_resolved_irradiance_baseline.csv\n", + " \n", + " \n", + "Distance between rows for no shading on Dec 21 at 9 am solar time = 0.0\n", + "Actual distance between rows = 0.5\n", + " \n", + " ***** IMPORTANT --> THIS SIMULATION Has Tracking Activated\n", + "Backtracking Option is set to: False\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "100%|██████████| 4301/4301 [00:19<00:00, 222.07it/s]\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Finished\n", + "Composite Data 1: date DNI DHI albedo decHRs ghi \\\n", + "0 1999-01-01 08:30:00-07:00 65.0 65.0 0.62 8.0 80.701880 \n", + "1 1999-01-01 09:30:00-07:00 503.0 93.0 0.62 9.0 272.448214 \n", + "2 1999-01-01 10:30:00-07:00 617.0 109.0 0.62 10.0 374.707417 \n", + "3 1999-01-01 11:30:00-07:00 497.0 161.0 0.62 11.0 388.725056 \n", + "4 1999-01-01 12:30:00-07:00 0.0 128.0 0.62 12.0 128.000000 \n", + "... ... ... ... ... ... ... \n", + "4168 1999-12-31 11:30:00-07:00 985.0 54.0 0.62 11.0 503.862717 \n", + "4169 1999-12-31 12:30:00-07:00 0.0 20.0 0.62 12.0 20.000000 \n", + "4170 1999-12-31 13:30:00-07:00 562.0 125.0 0.62 13.0 331.676261 \n", + "4171 1999-12-31 14:30:00-07:00 530.0 94.0 0.62 14.0 230.625571 \n", + "4172 1999-12-31 15:30:00-07:00 636.0 38.0 0.62 15.0 109.989149 \n", + "\n", + " inc zen azm pvFrontSH ... No_3_RowBackGTI \\\n", + "0 48.475978 76.020933 136.927346 0.453413 ... 14.846035 \n", + "1 53.624897 69.098903 149.450034 0.097687 ... 15.688899 \n", + "2 59.980614 64.491556 163.612235 0.000000 ... 25.472072 \n", + "3 62.708533 62.729027 178.899522 0.000000 ... 42.419936 \n", + "4 60.627132 64.052684 194.271504 0.000000 ... 21.419067 \n", + "... ... ... ... ... ... ... \n", + "4168 62.809489 62.824767 179.051833 0.000000 ... 49.714993 \n", + "4169 60.677995 64.176413 194.394562 0.000000 ... 3.506385 \n", + "4170 54.631298 68.422996 208.732678 0.047006 ... 24.969434 \n", + "4171 49.014823 75.061381 221.471320 0.410432 ... 19.966908 \n", + "4172 47.370375 83.500734 232.581809 0.749304 ... 9.520857 \n", + "\n", + " No_4_RowBackGTI No_5_RowBackGTI No_6_RowBackGTI tilt \\\n", + "0 16.460659 17.510193 18.893665 50.000000 \n", + "1 17.194809 18.141138 27.710755 50.000000 \n", + "2 29.360058 38.710230 49.547697 30.595290 \n", + "3 42.746163 54.535765 77.669048 2.133673 \n", + "4 25.194811 27.759135 28.538898 26.867532 \n", + "... ... ... ... ... \n", + "4168 49.830822 66.476423 100.772483 1.846173 \n", + "4169 4.081148 4.454619 4.553734 27.190010 \n", + "4170 22.721543 19.500993 15.377608 50.000000 \n", + "4171 18.136035 15.520934 12.182124 50.000000 \n", + "4172 8.647713 7.400746 5.808791 50.000000 \n", + "\n", + " sazm height D GTIFrontavg GTIBackavg \n", + "0 90.000000 0.016978 0.857212 73.949621 14.992569 \n", + "1 90.000000 0.016978 0.857212 355.239458 17.165418 \n", + "2 90.000000 0.145515 0.639216 397.385738 39.868699 \n", + "3 90.000000 0.381384 0.500693 364.277490 58.677813 \n", + "4 269.999999 0.174035 0.607946 108.544470 23.888711 \n", + "... ... ... ... ... ... \n", + "4168 90.000008 0.383892 0.500519 470.316283 73.368335 \n", + "4169 269.999999 0.171529 0.610504 16.662906 3.821185 \n", + "4170 270.000000 0.016978 0.857212 419.637450 23.899181 \n", + "4171 270.000000 0.016978 0.857212 287.992314 18.984844 \n", + "4172 270.000000 0.016978 0.857212 137.863812 9.263225 \n", + "\n", + "[4173 rows x 36 columns]\n", + "Warning: clearance_height passed and is being used as hub_height for the tracking routine\n", + "Warning: tracker hub height C < 0.5 may result in ground clearance errors\n", + "Albedo value passed, but also present in TMY3 file. Using albedo value passed. To use the ones in TMY3 file re-run simulation with albedo=None\n", + "\n", + " \n", + "********* \n", + "Running Simulation for TMY3: \n", + "Location: -\n", + "Lat: 39.73 Long: -105.18 Tz -7.0\n", + "Parameters: tilt: 0 Sazm: 180 Hub_Height : 0.4 Pitch: 1.5 Row type: interior Albedo: 0\n", + "Saving into c:\\Users\\mprillim\\sam_dev\\PVDegradationTools\\tutorials_and_tools\\tutorials_and_tools\\Spectrally_resolved_irradiance_DNIALB0.csv\n", + " \n", + " \n", + "Distance between rows for no shading on Dec 21 at 9 am solar time = 0.0\n", + "Actual distance between rows = 0.5\n", + " \n", + " ***** IMPORTANT --> THIS SIMULATION Has Tracking Activated\n", + "Backtracking Option is set to: False\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "100%|██████████| 4301/4301 [00:17<00:00, 252.03it/s]\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Finished\n", + "Composite Data 2: date DNI DHI albedo decHRs ghi \\\n", + "0 1999-01-01 08:30:00-07:00 65.0 65.0 0.62 8.0 80.701880 \n", + "1 1999-01-01 09:30:00-07:00 503.0 93.0 0.62 9.0 272.448214 \n", + "2 1999-01-01 10:30:00-07:00 617.0 109.0 0.62 10.0 374.707417 \n", + "3 1999-01-01 11:30:00-07:00 497.0 161.0 0.62 11.0 388.725056 \n", + "4 1999-01-01 12:30:00-07:00 0.0 128.0 0.62 12.0 128.000000 \n", + "... ... ... ... ... ... ... \n", + "4168 1999-12-31 11:30:00-07:00 985.0 54.0 0.62 11.0 503.862717 \n", + "4169 1999-12-31 12:30:00-07:00 0.0 20.0 0.62 12.0 20.000000 \n", + "4170 1999-12-31 13:30:00-07:00 562.0 125.0 0.62 13.0 331.676261 \n", + "4171 1999-12-31 14:30:00-07:00 530.0 94.0 0.62 14.0 230.625571 \n", + "4172 1999-12-31 15:30:00-07:00 636.0 38.0 0.62 15.0 109.989149 \n", + "\n", + " inc zen azm pvFrontSH ... \\\n", + "0 48.475978 76.020933 136.927346 0.453413 ... \n", + "1 53.624897 69.098903 149.450034 0.097687 ... \n", + "2 59.980614 64.491556 163.612235 0.000000 ... \n", + "3 62.708533 62.729027 178.899522 0.000000 ... \n", + "4 60.627132 64.052684 194.271504 0.000000 ... \n", + "... ... ... ... ... ... \n", + "4168 62.809489 62.824767 179.051833 0.000000 ... \n", + "4169 60.677995 64.176413 194.394562 0.000000 ... \n", + "4170 54.631298 68.422996 208.732678 0.047006 ... \n", + "4171 49.014823 75.061381 221.471320 0.410432 ... \n", + "4172 47.370375 83.500734 232.581809 0.749304 ... \n", + "\n", + " No_2_RowFrontGTI_DHIDirect No_2_RowBackGTI_DHIDirect \\\n", + "0 35.999897 4.817663 \n", + "1 55.467604 6.858048 \n", + "2 83.447508 2.692300 \n", + "3 151.716237 0.001212 \n", + "4 103.392596 2.181299 \n", + "... ... ... \n", + "4168 50.918552 0.000030 \n", + "4169 15.776561 0.357525 \n", + "4170 97.934634 15.074826 \n", + "4171 79.757622 11.309554 \n", + "4172 30.955976 4.712714 \n", + "\n", + " No_3_RowFrontGTI_DHIDirect No_3_RowBackGTI_DHIDirect \\\n", + "0 40.837128 5.851016 \n", + "1 60.738658 8.329051 \n", + "2 89.011221 3.126838 \n", + "3 151.708902 -0.000719 \n", + "4 108.496815 2.575159 \n", + "... ... ... \n", + "4168 50.914866 0.000406 \n", + "4169 16.742387 0.471740 \n", + "4170 91.767677 12.862169 \n", + "4171 75.130959 9.649561 \n", + "4172 24.951553 4.020996 \n", + "\n", + " No_4_RowFrontGTI_DHIDirect No_4_RowBackGTI_DHIDirect \\\n", + "0 47.312080 6.970493 \n", + "1 65.793639 9.922657 \n", + "2 92.693971 3.934450 \n", + "3 151.708902 -0.000720 \n", + "4 112.288481 3.375616 \n", + "... ... ... \n", + "4168 50.914866 0.000405 \n", + "4169 17.267276 0.553145 \n", + "4170 85.215261 10.796464 \n", + "4171 63.158950 8.099815 \n", + "4172 22.903069 3.375215 \n", + "\n", + " No_5_RowFrontGTI_DHIDirect No_5_RowBackGTI_DHIDirect \\\n", + "0 50.654253 8.169607 \n", + "1 70.551250 11.629629 \n", + "2 95.399697 3.982280 \n", + "3 151.575428 0.001208 \n", + "4 113.762466 3.425376 \n", + "... ... ... \n", + "4168 50.912881 0.000189 \n", + "4169 17.590424 0.549278 \n", + "4170 78.382765 8.889687 \n", + "4171 49.835661 6.669298 \n", + "4172 20.767024 2.779116 \n", + "\n", + " No_6_RowFrontGTI_DHIDirect No_6_RowBackGTI_DHIDirect \n", + "0 50.947694 7.991579 \n", + "1 71.041777 11.460894 \n", + "2 94.632119 4.376198 \n", + "3 151.704954 0.004246 \n", + "4 113.752310 3.184866 \n", + "... ... ... \n", + "4168 50.912881 0.001287 \n", + "4169 17.454347 0.516327 \n", + "4170 65.988596 7.228925 \n", + "4171 43.066942 5.423348 \n", + "4172 17.946430 2.259926 \n", + "\n", + "[4173 rows x 50 columns]\n", + "Warning: clearance_height passed and is being used as hub_height for the tracking routine\n", + "Warning: tracker hub height C < 0.5 may result in ground clearance errors\n", + "Albedo value passed, but also present in TMY3 file. Using albedo value passed. To use the ones in TMY3 file re-run simulation with albedo=None\n", + "\n", + " \n", + "********* \n", + "Running Simulation for TMY3: \n", + "Location: -\n", + "Lat: 39.73 Long: -105.18 Tz -7.0\n", + "Parameters: tilt: 0 Sazm: 180 Hub_Height : 0.4 Pitch: 1.5 Row type: interior Albedo: 0\n", + "Saving into c:\\Users\\mprillim\\sam_dev\\PVDegradationTools\\tutorials_and_tools\\tutorials_and_tools\\Spectrally_resolved_irradiance_DHIALB0.csv\n", + " \n", + " \n", + "Distance between rows for no shading on Dec 21 at 9 am solar time = 0.0\n", + "Actual distance between rows = 0.5\n", + " \n", + " ***** IMPORTANT --> THIS SIMULATION Has Tracking Activated\n", + "Backtracking Option is set to: False\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "100%|██████████| 4301/4301 [00:16<00:00, 266.05it/s]\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Finished\n", + "Composite Data 3: date DNI DHI albedo decHRs ghi \\\n", + "0 1999-01-01 08:30:00-07:00 65.0 65.0 0.62 8.0 80.701880 \n", + "1 1999-01-01 09:30:00-07:00 503.0 93.0 0.62 9.0 272.448214 \n", + "2 1999-01-01 10:30:00-07:00 617.0 109.0 0.62 10.0 374.707417 \n", + "3 1999-01-01 11:30:00-07:00 497.0 161.0 0.62 11.0 388.725056 \n", + "4 1999-01-01 12:30:00-07:00 0.0 128.0 0.62 12.0 128.000000 \n", + "... ... ... ... ... ... ... \n", + "4168 1999-12-31 11:30:00-07:00 985.0 54.0 0.62 11.0 503.862717 \n", + "4169 1999-12-31 12:30:00-07:00 0.0 20.0 0.62 12.0 20.000000 \n", + "4170 1999-12-31 13:30:00-07:00 562.0 125.0 0.62 13.0 331.676261 \n", + "4171 1999-12-31 14:30:00-07:00 530.0 94.0 0.62 14.0 230.625571 \n", + "4172 1999-12-31 15:30:00-07:00 636.0 38.0 0.62 15.0 109.989149 \n", + "\n", + " inc zen azm pvFrontSH ... \\\n", + "0 48.475978 76.020933 136.927346 0.453413 ... \n", + "1 53.624897 69.098903 149.450034 0.097687 ... \n", + "2 59.980614 64.491556 163.612235 0.000000 ... \n", + "3 62.708533 62.729027 178.899522 0.000000 ... \n", + "4 60.627132 64.052684 194.271504 0.000000 ... \n", + "... ... ... ... ... ... \n", + "4168 62.809489 62.824767 179.051833 0.000000 ... \n", + "4169 60.677995 64.176413 194.394562 0.000000 ... \n", + "4170 54.631298 68.422996 208.732678 0.047006 ... \n", + "4171 49.014823 75.061381 221.471320 0.410432 ... \n", + "4172 47.370375 83.500734 232.581809 0.749304 ... \n", + "\n", + " No_2_RowFrontGTI_DNIDirect No_2_RowBackGTI_DNIDirect \\\n", + "0 0.000000 0.0 \n", + "1 290.078748 0.0 \n", + "2 292.545411 0.0 \n", + "3 212.312920 0.0 \n", + "4 0.000000 0.0 \n", + "... ... ... \n", + "4168 419.038773 0.0 \n", + "4169 0.000000 0.0 \n", + "4170 315.353354 0.0 \n", + "4171 341.680397 0.0 \n", + "4172 214.064646 0.0 \n", + "\n", + " No_3_RowFrontGTI_DNIDirect No_3_RowBackGTI_DNIDirect \\\n", + "0 11.850919 0.0 \n", + "1 290.078748 0.0 \n", + "2 292.545411 0.0 \n", + "3 212.312920 0.0 \n", + "4 0.000000 0.0 \n", + "... ... ... \n", + "4168 419.038773 0.0 \n", + "4169 0.000000 0.0 \n", + "4170 315.353354 0.0 \n", + "4171 341.680397 0.0 \n", + "4172 0.000000 0.0 \n", + "\n", + " No_4_RowFrontGTI_DNIDirect No_4_RowBackGTI_DNIDirect \\\n", + "0 42.397093 0.0 \n", + "1 290.078748 0.0 \n", + "2 292.545411 0.0 \n", + "3 212.312920 0.0 \n", + "4 0.000000 0.0 \n", + "... ... ... \n", + "4168 419.038773 0.0 \n", + "4169 0.000000 0.0 \n", + "4170 315.353354 0.0 \n", + "4171 183.621225 0.0 \n", + "4172 0.000000 0.0 \n", + "\n", + " No_5_RowFrontGTI_DNIDirect No_5_RowBackGTI_DNIDirect \\\n", + "0 42.397093 0.0 \n", + "1 290.078748 0.0 \n", + "2 292.545411 0.0 \n", + "3 212.312920 0.0 \n", + "4 0.000000 0.0 \n", + "... ... ... \n", + "4168 419.038773 0.0 \n", + "4169 0.000000 0.0 \n", + "4170 315.353354 0.0 \n", + "4171 0.000000 0.0 \n", + "4172 0.000000 0.0 \n", + "\n", + " No_6_RowFrontGTI_DNIDirect No_6_RowBackGTI_DNIDirect \n", + "0 42.397093 0.0 \n", + "1 290.078748 0.0 \n", + "2 292.545411 0.0 \n", + "3 212.312920 0.0 \n", + "4 0.000000 0.0 \n", + "... ... ... \n", + "4168 419.038773 0.0 \n", + "4169 0.000000 0.0 \n", + "4170 226.412004 0.0 \n", + "4171 0.000000 0.0 \n", + "4172 0.000000 0.0 \n", + "\n", + "[4173 rows x 64 columns]\n", + "Warning: clearance_height passed and is being used as hub_height for the tracking routine\n", + "Warning: tracker hub height C < 0.5 may result in ground clearance errors\n", + " \n", + "********* \n", + "Running Simulation for TMY3: \n", + "Location: -\n", + "Lat: 39.73 Long: -105.18 Tz -7.0\n", + "Parameters: tilt: 0 Sazm: 180 Hub_Height : 0.4 Pitch: 1.5 Row type: interior Albedo: 0.62\n", + "Saving into c:\\Users\\mprillim\\sam_dev\\PVDegradationTools\\tutorials_and_tools\\tutorials_and_tools\\Spectrally_resolved_irradiance_DHI0.csv\n", + " \n", + " \n", + "Distance between rows for no shading on Dec 21 at 9 am solar time = 0.0\n", + "Actual distance between rows = 0.5\n", + " \n", + " ***** IMPORTANT --> THIS SIMULATION Has Tracking Activated\n", + "Backtracking Option is set to: False\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "100%|██████████| 4301/4301 [00:17<00:00, 251.48it/s]\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Finished\n", + "Composite Data 4: date DNI DHI albedo decHRs ghi \\\n", + "0 1999-01-01 08:30:00-07:00 65.0 65.0 0.62 8.0 80.701880 \n", + "1 1999-01-01 09:30:00-07:00 503.0 93.0 0.62 9.0 272.448214 \n", + "2 1999-01-01 10:30:00-07:00 617.0 109.0 0.62 10.0 374.707417 \n", + "3 1999-01-01 11:30:00-07:00 497.0 161.0 0.62 11.0 388.725056 \n", + "4 1999-01-01 12:30:00-07:00 0.0 128.0 0.62 12.0 128.000000 \n", + "... ... ... ... ... ... ... \n", + "4168 1999-12-31 11:30:00-07:00 985.0 54.0 0.62 11.0 503.862717 \n", + "4169 1999-12-31 12:30:00-07:00 0.0 20.0 0.62 12.0 20.000000 \n", + "4170 1999-12-31 13:30:00-07:00 562.0 125.0 0.62 13.0 331.676261 \n", + "4171 1999-12-31 14:30:00-07:00 530.0 94.0 0.62 14.0 230.625571 \n", + "4172 1999-12-31 15:30:00-07:00 636.0 38.0 0.62 15.0 109.989149 \n", + "\n", + " inc zen azm pvFrontSH ... \\\n", + "0 48.475978 76.020933 136.927346 0.453413 ... \n", + "1 53.624897 69.098903 149.450034 0.097687 ... \n", + "2 59.980614 64.491556 163.612235 0.000000 ... \n", + "3 62.708533 62.729027 178.899522 0.000000 ... \n", + "4 60.627132 64.052684 194.271504 0.000000 ... \n", + "... ... ... ... ... ... \n", + "4168 62.809489 62.824767 179.051833 0.000000 ... \n", + "4169 60.677995 64.176413 194.394562 0.000000 ... \n", + "4170 54.631298 68.422996 208.732678 0.047006 ... \n", + "4171 49.014823 75.061381 221.471320 0.410432 ... \n", + "4172 47.370375 83.500734 232.581809 0.749304 ... \n", + "\n", + " No_2_RowFrontGTI_DNIReflected No_2_RowBackGTI_DNIReflected \\\n", + "0 0.014418 0.093310 \n", + "1 290.243521 1.066392 \n", + "2 293.582324 17.441277 \n", + "3 212.314535 29.623259 \n", + "4 0.000000 0.000000 \n", + "... ... ... \n", + "4168 419.041962 59.262455 \n", + "4169 0.000000 0.000000 \n", + "4170 315.466463 0.955018 \n", + "4171 341.755169 0.631325 \n", + "4172 214.104044 0.332650 \n", + "\n", + " No_3_RowFrontGTI_DNIReflected No_3_RowBackGTI_DNIReflected \\\n", + "0 11.863247 0.086767 \n", + "1 290.219640 0.991616 \n", + "2 293.318607 12.109158 \n", + "3 212.314535 21.628469 \n", + "4 0.000000 0.000000 \n", + "... ... ... \n", + "4168 419.039187 42.740039 \n", + "4169 0.000000 0.000000 \n", + "4170 315.490036 1.050529 \n", + "4171 341.770752 0.694463 \n", + "4172 0.047609 0.365919 \n", + "\n", + " No_4_RowFrontGTI_DNIReflected No_4_RowBackGTI_DNIReflected \\\n", + "0 42.407478 0.079812 \n", + "1 290.197423 0.912129 \n", + "2 293.267573 13.755845 \n", + "3 212.314535 21.653321 \n", + "4 0.000000 0.000000 \n", + "... ... ... \n", + "4168 419.039187 42.761892 \n", + "4169 0.000000 0.000000 \n", + "4170 315.515624 1.142076 \n", + "4171 183.728496 0.754982 \n", + "4172 0.056522 0.397806 \n", + "\n", + " No_5_RowFrontGTI_DNIReflected No_5_RowBackGTI_DNIReflected \\\n", + "0 42.405687 0.072556 \n", + "1 290.176956 0.829202 \n", + "2 293.249162 18.119025 \n", + "3 212.313130 29.374794 \n", + "4 0.000000 0.000000 \n", + "... ... ... \n", + "4168 419.039187 58.034155 \n", + "4169 0.000000 0.000000 \n", + "4170 315.543129 1.228198 \n", + "4171 0.125453 0.811913 \n", + "4172 0.066102 0.427804 \n", + "\n", + " No_6_RowFrontGTI_DNIReflected No_6_RowBackGTI_DNIReflected \n", + "0 42.404056 0.062947 \n", + "1 290.158316 0.719391 \n", + "2 293.159918 23.698589 \n", + "3 212.313130 45.345998 \n", + "4 0.000000 0.000000 \n", + "... ... ... \n", + "4168 419.039187 89.908522 \n", + "4169 0.000000 0.000000 \n", + "4170 226.651610 1.285814 \n", + "4171 0.158394 0.850001 \n", + "4172 0.083459 0.447873 \n", + "\n", + "[4173 rows x 78 columns]\n", + "Warning: clearance_height passed and is being used as hub_height for the tracking routine\n", + "Warning: tracker hub height C < 0.5 may result in ground clearance errors\n", + " \n", + "********* \n", + "Running Simulation for TMY3: \n", + "Location: -\n", + "Lat: 39.73 Long: -105.18 Tz -7.0\n", + "Parameters: tilt: 0 Sazm: 180 Hub_Height : 0.4 Pitch: 1.5 Row type: interior Albedo: 0.62\n", + "Saving into c:\\Users\\mprillim\\sam_dev\\PVDegradationTools\\tutorials_and_tools\\tutorials_and_tools\\Spectrally_resolved_irradiance_DNI0.csv\n", + " \n", + " \n", + "Distance between rows for no shading on Dec 21 at 9 am solar time = 0.0\n", + "Actual distance between rows = 0.5\n", + " \n", + " ***** IMPORTANT --> THIS SIMULATION Has Tracking Activated\n", + "Backtracking Option is set to: False\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "100%|██████████| 4301/4301 [00:19<00:00, 220.01it/s]\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Finished\n", + "Composite Data 5: date DNI DHI albedo decHRs ghi \\\n", + "0 1999-01-01 08:30:00-07:00 65.0 65.0 0.62 8.0 80.701880 \n", + "1 1999-01-01 09:30:00-07:00 503.0 93.0 0.62 9.0 272.448214 \n", + "2 1999-01-01 10:30:00-07:00 617.0 109.0 0.62 10.0 374.707417 \n", + "3 1999-01-01 11:30:00-07:00 497.0 161.0 0.62 11.0 388.725056 \n", + "4 1999-01-01 12:30:00-07:00 0.0 128.0 0.62 12.0 128.000000 \n", + "... ... ... ... ... ... ... \n", + "4168 1999-12-31 11:30:00-07:00 985.0 54.0 0.62 11.0 503.862717 \n", + "4169 1999-12-31 12:30:00-07:00 0.0 20.0 0.62 12.0 20.000000 \n", + "4170 1999-12-31 13:30:00-07:00 562.0 125.0 0.62 13.0 331.676261 \n", + "4171 1999-12-31 14:30:00-07:00 530.0 94.0 0.62 14.0 230.625571 \n", + "4172 1999-12-31 15:30:00-07:00 636.0 38.0 0.62 15.0 109.989149 \n", + "\n", + " inc zen azm pvFrontSH ... \\\n", + "0 48.475978 76.020933 136.927346 0.453413 ... \n", + "1 53.624897 69.098903 149.450034 0.097687 ... \n", + "2 59.980614 64.491556 163.612235 0.000000 ... \n", + "3 62.708533 62.729027 178.899522 0.000000 ... \n", + "4 60.627132 64.052684 194.271504 0.000000 ... \n", + "... ... ... ... ... ... \n", + "4168 62.809489 62.824767 179.051833 0.000000 ... \n", + "4169 60.677995 64.176413 194.394562 0.000000 ... \n", + "4170 54.631298 68.422996 208.732678 0.047006 ... \n", + "4171 49.014823 75.061381 221.471320 0.410432 ... \n", + "4172 47.370375 83.500734 232.581809 0.749304 ... \n", + "\n", + " No_2_RowFrontGTI_DHIReflected No_2_RowBackGTI_DHIReflected \\\n", + "0 38.542876 13.963074 \n", + "1 59.087989 19.879422 \n", + "2 84.420632 16.998278 \n", + "3 151.717348 26.213606 \n", + "4 104.174186 18.982420 \n", + "... ... ... \n", + "4168 50.918924 8.970219 \n", + "4169 15.902219 3.039516 \n", + "4170 100.275915 36.101667 \n", + "4171 81.514253 27.085635 \n", + "4172 31.687341 11.281356 \n", + "\n", + " No_3_RowFrontGTI_DHIReflected No_3_RowBackGTI_DHIReflected \\\n", + "0 42.857208 16.536974 \n", + "1 63.614629 23.543209 \n", + "2 89.780862 19.528145 \n", + "3 151.710013 23.438825 \n", + "4 109.117716 21.419067 \n", + "... ... ... \n", + "4168 50.914914 8.078832 \n", + "4169 16.840554 3.506385 \n", + "4170 94.736906 33.907382 \n", + "4171 77.358722 25.439528 \n", + "4172 25.879110 10.594884 \n", + "\n", + " No_4_RowFrontGTI_DHIReflected No_4_RowBackGTI_DHIReflected \\\n", + "0 48.919435 18.361971 \n", + "1 68.082034 26.140919 \n", + "2 93.341094 22.917840 \n", + "3 151.710013 23.878017 \n", + "4 112.758045 25.194811 \n", + "... ... ... \n", + "4168 50.914914 8.227606 \n", + "4169 17.353697 4.081148 \n", + "4170 88.946675 30.542100 \n", + "4171 65.958558 22.914892 \n", + "4172 24.068775 9.542338 \n", + "\n", + " No_5_RowFrontGTI_DHIReflected No_5_RowBackGTI_DHIReflected \\\n", + "0 51.921606 19.552395 \n", + "1 72.355596 27.835303 \n", + "2 95.992791 24.737572 \n", + "3 151.575572 27.270479 \n", + "4 114.195020 27.759135 \n", + "... ... ... \n", + "4168 50.912929 9.307360 \n", + "4169 17.660075 4.454619 \n", + "4170 83.079702 25.794825 \n", + "4171 53.359667 19.353427 \n", + "4172 22.234438 8.057764 \n", + "\n", + " No_6_RowFrontGTI_DHIReflected No_6_RowBackGTI_DHIReflected \n", + "0 51.929540 18.586181 \n", + "1 72.439652 26.544291 \n", + "2 95.100730 25.591172 \n", + "3 151.705099 32.426875 \n", + "4 114.141512 28.538898 \n", + "... ... ... \n", + "4168 50.912929 10.886255 \n", + "4169 17.516879 4.553734 \n", + "4170 72.610553 19.804484 \n", + "4171 48.035219 14.859339 \n", + "4172 20.015404 6.184715 \n", + "\n", + "[4173 rows x 92 columns]\n", + "Composite Data Index: date DNI DHI albedo \\\n", + "date \n", + "1999-01-01 08:30:00-07:00 1999-01-01 08:30:00-07:00 65.0 65.0 0.62 \n", + "1999-01-01 09:30:00-07:00 1999-01-01 09:30:00-07:00 503.0 93.0 0.62 \n", + "1999-01-01 10:30:00-07:00 1999-01-01 10:30:00-07:00 617.0 109.0 0.62 \n", + "1999-01-01 11:30:00-07:00 1999-01-01 11:30:00-07:00 497.0 161.0 0.62 \n", + "1999-01-01 12:30:00-07:00 1999-01-01 12:30:00-07:00 0.0 128.0 0.62 \n", + "... ... ... ... ... \n", + "1999-12-31 11:30:00-07:00 1999-12-31 11:30:00-07:00 985.0 54.0 0.62 \n", + "1999-12-31 12:30:00-07:00 1999-12-31 12:30:00-07:00 0.0 20.0 0.62 \n", + "1999-12-31 13:30:00-07:00 1999-12-31 13:30:00-07:00 562.0 125.0 0.62 \n", + "1999-12-31 14:30:00-07:00 1999-12-31 14:30:00-07:00 530.0 94.0 0.62 \n", + "1999-12-31 15:30:00-07:00 1999-12-31 15:30:00-07:00 636.0 38.0 0.62 \n", + "\n", + " decHRs ghi inc zen \\\n", + "date \n", + "1999-01-01 08:30:00-07:00 8.0 80.701880 48.475978 76.020933 \n", + "1999-01-01 09:30:00-07:00 9.0 272.448214 53.624897 69.098903 \n", + "1999-01-01 10:30:00-07:00 10.0 374.707417 59.980614 64.491556 \n", + "1999-01-01 11:30:00-07:00 11.0 388.725056 62.708533 62.729027 \n", + "1999-01-01 12:30:00-07:00 12.0 128.000000 60.627132 64.052684 \n", + "... ... ... ... ... \n", + "1999-12-31 11:30:00-07:00 11.0 503.862717 62.809489 62.824767 \n", + "1999-12-31 12:30:00-07:00 12.0 20.000000 60.677995 64.176413 \n", + "1999-12-31 13:30:00-07:00 13.0 331.676261 54.631298 68.422996 \n", + "1999-12-31 14:30:00-07:00 14.0 230.625571 49.014823 75.061381 \n", + "1999-12-31 15:30:00-07:00 15.0 109.989149 47.370375 83.500734 \n", + "\n", + " azm pvFrontSH ... \\\n", + "date ... \n", + "1999-01-01 08:30:00-07:00 136.927346 0.453413 ... \n", + "1999-01-01 09:30:00-07:00 149.450034 0.097687 ... \n", + "1999-01-01 10:30:00-07:00 163.612235 0.000000 ... \n", + "1999-01-01 11:30:00-07:00 178.899522 0.000000 ... \n", + "1999-01-01 12:30:00-07:00 194.271504 0.000000 ... \n", + "... ... ... ... \n", + "1999-12-31 11:30:00-07:00 179.051833 0.000000 ... \n", + "1999-12-31 12:30:00-07:00 194.394562 0.000000 ... \n", + "1999-12-31 13:30:00-07:00 208.732678 0.047006 ... \n", + "1999-12-31 14:30:00-07:00 221.471320 0.410432 ... \n", + "1999-12-31 15:30:00-07:00 232.581809 0.749304 ... \n", + "\n", + " No_2_RowFrontGTI_DHIReflected \\\n", + "date \n", + "1999-01-01 08:30:00-07:00 38.542876 \n", + "1999-01-01 09:30:00-07:00 59.087989 \n", + "1999-01-01 10:30:00-07:00 84.420632 \n", + "1999-01-01 11:30:00-07:00 151.717348 \n", + "1999-01-01 12:30:00-07:00 104.174186 \n", + "... ... \n", + "1999-12-31 11:30:00-07:00 50.918924 \n", + "1999-12-31 12:30:00-07:00 15.902219 \n", + "1999-12-31 13:30:00-07:00 100.275915 \n", + "1999-12-31 14:30:00-07:00 81.514253 \n", + "1999-12-31 15:30:00-07:00 31.687341 \n", + "\n", + " No_2_RowBackGTI_DHIReflected \\\n", + "date \n", + "1999-01-01 08:30:00-07:00 13.963074 \n", + "1999-01-01 09:30:00-07:00 19.879422 \n", + "1999-01-01 10:30:00-07:00 16.998278 \n", + "1999-01-01 11:30:00-07:00 26.213606 \n", + "1999-01-01 12:30:00-07:00 18.982420 \n", + "... ... \n", + "1999-12-31 11:30:00-07:00 8.970219 \n", + "1999-12-31 12:30:00-07:00 3.039516 \n", + "1999-12-31 13:30:00-07:00 36.101667 \n", + "1999-12-31 14:30:00-07:00 27.085635 \n", + "1999-12-31 15:30:00-07:00 11.281356 \n", + "\n", + " No_3_RowFrontGTI_DHIReflected \\\n", + "date \n", + "1999-01-01 08:30:00-07:00 42.857208 \n", + "1999-01-01 09:30:00-07:00 63.614629 \n", + "1999-01-01 10:30:00-07:00 89.780862 \n", + "1999-01-01 11:30:00-07:00 151.710013 \n", + "1999-01-01 12:30:00-07:00 109.117716 \n", + "... ... \n", + "1999-12-31 11:30:00-07:00 50.914914 \n", + "1999-12-31 12:30:00-07:00 16.840554 \n", + "1999-12-31 13:30:00-07:00 94.736906 \n", + "1999-12-31 14:30:00-07:00 77.358722 \n", + "1999-12-31 15:30:00-07:00 25.879110 \n", + "\n", + " No_3_RowBackGTI_DHIReflected \\\n", + "date \n", + "1999-01-01 08:30:00-07:00 16.536974 \n", + "1999-01-01 09:30:00-07:00 23.543209 \n", + "1999-01-01 10:30:00-07:00 19.528145 \n", + "1999-01-01 11:30:00-07:00 23.438825 \n", + "1999-01-01 12:30:00-07:00 21.419067 \n", + "... ... \n", + "1999-12-31 11:30:00-07:00 8.078832 \n", + "1999-12-31 12:30:00-07:00 3.506385 \n", + "1999-12-31 13:30:00-07:00 33.907382 \n", + "1999-12-31 14:30:00-07:00 25.439528 \n", + "1999-12-31 15:30:00-07:00 10.594884 \n", + "\n", + " No_4_RowFrontGTI_DHIReflected \\\n", + "date \n", + "1999-01-01 08:30:00-07:00 48.919435 \n", + "1999-01-01 09:30:00-07:00 68.082034 \n", + "1999-01-01 10:30:00-07:00 93.341094 \n", + "1999-01-01 11:30:00-07:00 151.710013 \n", + "1999-01-01 12:30:00-07:00 112.758045 \n", + "... ... \n", + "1999-12-31 11:30:00-07:00 50.914914 \n", + "1999-12-31 12:30:00-07:00 17.353697 \n", + "1999-12-31 13:30:00-07:00 88.946675 \n", + "1999-12-31 14:30:00-07:00 65.958558 \n", + "1999-12-31 15:30:00-07:00 24.068775 \n", + "\n", + " No_4_RowBackGTI_DHIReflected \\\n", + "date \n", + "1999-01-01 08:30:00-07:00 18.361971 \n", + "1999-01-01 09:30:00-07:00 26.140919 \n", + "1999-01-01 10:30:00-07:00 22.917840 \n", + "1999-01-01 11:30:00-07:00 23.878017 \n", + "1999-01-01 12:30:00-07:00 25.194811 \n", + "... ... \n", + "1999-12-31 11:30:00-07:00 8.227606 \n", + "1999-12-31 12:30:00-07:00 4.081148 \n", + "1999-12-31 13:30:00-07:00 30.542100 \n", + "1999-12-31 14:30:00-07:00 22.914892 \n", + "1999-12-31 15:30:00-07:00 9.542338 \n", + "\n", + " No_5_RowFrontGTI_DHIReflected \\\n", + "date \n", + "1999-01-01 08:30:00-07:00 51.921606 \n", + "1999-01-01 09:30:00-07:00 72.355596 \n", + "1999-01-01 10:30:00-07:00 95.992791 \n", + "1999-01-01 11:30:00-07:00 151.575572 \n", + "1999-01-01 12:30:00-07:00 114.195020 \n", + "... ... \n", + "1999-12-31 11:30:00-07:00 50.912929 \n", + "1999-12-31 12:30:00-07:00 17.660075 \n", + "1999-12-31 13:30:00-07:00 83.079702 \n", + "1999-12-31 14:30:00-07:00 53.359667 \n", + "1999-12-31 15:30:00-07:00 22.234438 \n", + "\n", + " No_5_RowBackGTI_DHIReflected \\\n", + "date \n", + "1999-01-01 08:30:00-07:00 19.552395 \n", + "1999-01-01 09:30:00-07:00 27.835303 \n", + "1999-01-01 10:30:00-07:00 24.737572 \n", + "1999-01-01 11:30:00-07:00 27.270479 \n", + "1999-01-01 12:30:00-07:00 27.759135 \n", + "... ... \n", + "1999-12-31 11:30:00-07:00 9.307360 \n", + "1999-12-31 12:30:00-07:00 4.454619 \n", + "1999-12-31 13:30:00-07:00 25.794825 \n", + "1999-12-31 14:30:00-07:00 19.353427 \n", + "1999-12-31 15:30:00-07:00 8.057764 \n", + "\n", + " No_6_RowFrontGTI_DHIReflected \\\n", + "date \n", + "1999-01-01 08:30:00-07:00 51.929540 \n", + "1999-01-01 09:30:00-07:00 72.439652 \n", + "1999-01-01 10:30:00-07:00 95.100730 \n", + "1999-01-01 11:30:00-07:00 151.705099 \n", + "1999-01-01 12:30:00-07:00 114.141512 \n", + "... ... \n", + "1999-12-31 11:30:00-07:00 50.912929 \n", + "1999-12-31 12:30:00-07:00 17.516879 \n", + "1999-12-31 13:30:00-07:00 72.610553 \n", + "1999-12-31 14:30:00-07:00 48.035219 \n", + "1999-12-31 15:30:00-07:00 20.015404 \n", + "\n", + " No_6_RowBackGTI_DHIReflected \n", + "date \n", + "1999-01-01 08:30:00-07:00 18.586181 \n", + "1999-01-01 09:30:00-07:00 26.544291 \n", + "1999-01-01 10:30:00-07:00 25.591172 \n", + "1999-01-01 11:30:00-07:00 32.426875 \n", + "1999-01-01 12:30:00-07:00 28.538898 \n", + "... ... \n", + "1999-12-31 11:30:00-07:00 10.886255 \n", + "1999-12-31 12:30:00-07:00 4.553734 \n", + "1999-12-31 13:30:00-07:00 19.804484 \n", + "1999-12-31 14:30:00-07:00 14.859339 \n", + "1999-12-31 15:30:00-07:00 6.184715 \n", + "\n", + "[4173 rows x 92 columns]\n", + "Year from spectral file: 1999\n", + "Before reindexing, composite_data : date DNI DHI albedo \\\n", + "date \n", + "1999-01-01 08:30:00-07:00 1999-01-01 08:30:00-07:00 65.0 65.0 0.62 \n", + "1999-01-01 09:30:00-07:00 1999-01-01 09:30:00-07:00 503.0 93.0 0.62 \n", + "1999-01-01 10:30:00-07:00 1999-01-01 10:30:00-07:00 617.0 109.0 0.62 \n", + "1999-01-01 11:30:00-07:00 1999-01-01 11:30:00-07:00 497.0 161.0 0.62 \n", + "1999-01-01 12:30:00-07:00 1999-01-01 12:30:00-07:00 0.0 128.0 0.62 \n", + "... ... ... ... ... \n", + "1999-12-31 11:30:00-07:00 1999-12-31 11:30:00-07:00 985.0 54.0 0.62 \n", + "1999-12-31 12:30:00-07:00 1999-12-31 12:30:00-07:00 0.0 20.0 0.62 \n", + "1999-12-31 13:30:00-07:00 1999-12-31 13:30:00-07:00 562.0 125.0 0.62 \n", + "1999-12-31 14:30:00-07:00 1999-12-31 14:30:00-07:00 530.0 94.0 0.62 \n", + "1999-12-31 15:30:00-07:00 1999-12-31 15:30:00-07:00 636.0 38.0 0.62 \n", + "\n", + " decHRs ghi inc zen \\\n", + "date \n", + "1999-01-01 08:30:00-07:00 8.0 80.701880 48.475978 76.020933 \n", + "1999-01-01 09:30:00-07:00 9.0 272.448214 53.624897 69.098903 \n", + "1999-01-01 10:30:00-07:00 10.0 374.707417 59.980614 64.491556 \n", + "1999-01-01 11:30:00-07:00 11.0 388.725056 62.708533 62.729027 \n", + "1999-01-01 12:30:00-07:00 12.0 128.000000 60.627132 64.052684 \n", + "... ... ... ... ... \n", + "1999-12-31 11:30:00-07:00 11.0 503.862717 62.809489 62.824767 \n", + "1999-12-31 12:30:00-07:00 12.0 20.000000 60.677995 64.176413 \n", + "1999-12-31 13:30:00-07:00 13.0 331.676261 54.631298 68.422996 \n", + "1999-12-31 14:30:00-07:00 14.0 230.625571 49.014823 75.061381 \n", + "1999-12-31 15:30:00-07:00 15.0 109.989149 47.370375 83.500734 \n", + "\n", + " azm pvFrontSH ... \\\n", + "date ... \n", + "1999-01-01 08:30:00-07:00 136.927346 0.453413 ... \n", + "1999-01-01 09:30:00-07:00 149.450034 0.097687 ... \n", + "1999-01-01 10:30:00-07:00 163.612235 0.000000 ... \n", + "1999-01-01 11:30:00-07:00 178.899522 0.000000 ... \n", + "1999-01-01 12:30:00-07:00 194.271504 0.000000 ... \n", + "... ... ... ... \n", + "1999-12-31 11:30:00-07:00 179.051833 0.000000 ... \n", + "1999-12-31 12:30:00-07:00 194.394562 0.000000 ... \n", + "1999-12-31 13:30:00-07:00 208.732678 0.047006 ... 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12:30:00-07:00 3.039516 \n", + "1999-12-31 13:30:00-07:00 36.101667 \n", + "1999-12-31 14:30:00-07:00 27.085635 \n", + "1999-12-31 15:30:00-07:00 11.281356 \n", + "\n", + " No_3_RowFrontGTI_DHIReflected \\\n", + "date \n", + "1999-01-01 08:30:00-07:00 42.857208 \n", + "1999-01-01 09:30:00-07:00 63.614629 \n", + "1999-01-01 10:30:00-07:00 89.780862 \n", + "1999-01-01 11:30:00-07:00 151.710013 \n", + "1999-01-01 12:30:00-07:00 109.117716 \n", + "... ... \n", + "1999-12-31 11:30:00-07:00 50.914914 \n", + "1999-12-31 12:30:00-07:00 16.840554 \n", + "1999-12-31 13:30:00-07:00 94.736906 \n", + "1999-12-31 14:30:00-07:00 77.358722 \n", + "1999-12-31 15:30:00-07:00 25.879110 \n", + "\n", + " No_3_RowBackGTI_DHIReflected \\\n", + "date \n", + "1999-01-01 08:30:00-07:00 16.536974 \n", + "1999-01-01 09:30:00-07:00 23.543209 \n", + "1999-01-01 10:30:00-07:00 19.528145 \n", + "1999-01-01 11:30:00-07:00 23.438825 \n", + "1999-01-01 12:30:00-07:00 21.419067 \n", + "... ... \n", + "1999-12-31 11:30:00-07:00 8.078832 \n", + "1999-12-31 12:30:00-07:00 3.506385 \n", + "1999-12-31 13:30:00-07:00 33.907382 \n", + "1999-12-31 14:30:00-07:00 25.439528 \n", + "1999-12-31 15:30:00-07:00 10.594884 \n", + "\n", + " No_4_RowFrontGTI_DHIReflected \\\n", + "date \n", + "1999-01-01 08:30:00-07:00 48.919435 \n", + "1999-01-01 09:30:00-07:00 68.082034 \n", + "1999-01-01 10:30:00-07:00 93.341094 \n", + "1999-01-01 11:30:00-07:00 151.710013 \n", + "1999-01-01 12:30:00-07:00 112.758045 \n", + "... ... \n", + "1999-12-31 11:30:00-07:00 50.914914 \n", + "1999-12-31 12:30:00-07:00 17.353697 \n", + "1999-12-31 13:30:00-07:00 88.946675 \n", + "1999-12-31 14:30:00-07:00 65.958558 \n", + "1999-12-31 15:30:00-07:00 24.068775 \n", + "\n", + " No_4_RowBackGTI_DHIReflected \\\n", + "date \n", + "1999-01-01 08:30:00-07:00 18.361971 \n", + "1999-01-01 09:30:00-07:00 26.140919 \n", + "1999-01-01 10:30:00-07:00 22.917840 \n", + "1999-01-01 11:30:00-07:00 23.878017 \n", + "1999-01-01 12:30:00-07:00 25.194811 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"1999-01-01 12:30:00-07:00 27.759135 \n", + "... ... \n", + "1999-12-31 11:30:00-07:00 9.307360 \n", + "1999-12-31 12:30:00-07:00 4.454619 \n", + "1999-12-31 13:30:00-07:00 25.794825 \n", + "1999-12-31 14:30:00-07:00 19.353427 \n", + "1999-12-31 15:30:00-07:00 8.057764 \n", + "\n", + " No_6_RowFrontGTI_DHIReflected \\\n", + "date \n", + "1999-01-01 08:30:00-07:00 51.929540 \n", + "1999-01-01 09:30:00-07:00 72.439652 \n", + "1999-01-01 10:30:00-07:00 95.100730 \n", + "1999-01-01 11:30:00-07:00 151.705099 \n", + "1999-01-01 12:30:00-07:00 114.141512 \n", + "... ... \n", + "1999-12-31 11:30:00-07:00 50.912929 \n", + "1999-12-31 12:30:00-07:00 17.516879 \n", + "1999-12-31 13:30:00-07:00 72.610553 \n", + "1999-12-31 14:30:00-07:00 48.035219 \n", + "1999-12-31 15:30:00-07:00 20.015404 \n", + "\n", + " No_6_RowBackGTI_DHIReflected \n", + "date \n", + "1999-01-01 08:30:00-07:00 18.586181 \n", + "1999-01-01 09:30:00-07:00 26.544291 \n", + "1999-01-01 10:30:00-07:00 25.591172 \n", + "1999-01-01 11:30:00-07:00 32.426875 \n", + "1999-01-01 12:30:00-07:00 28.538898 \n", + "... ... \n", + "1999-12-31 11:30:00-07:00 10.886255 \n", + "1999-12-31 12:30:00-07:00 4.553734 \n", + "1999-12-31 13:30:00-07:00 19.804484 \n", + "1999-12-31 14:30:00-07:00 14.859339 \n", + "1999-12-31 15:30:00-07:00 6.184715 \n", + "\n", + "[4173 rows x 92 columns]\n", + " date DNI DHI albedo \\\n", + "date \n", + "1999-01-01 08:30:00-07:00 1999-01-01 08:30:00-07:00 65.0 65.0 0.62 \n", + "1999-01-01 09:30:00-07:00 1999-01-01 09:30:00-07:00 503.0 93.0 0.62 \n", + "1999-01-01 10:30:00-07:00 1999-01-01 10:30:00-07:00 617.0 109.0 0.62 \n", + "1999-01-01 11:30:00-07:00 1999-01-01 11:30:00-07:00 497.0 161.0 0.62 \n", + "1999-01-01 12:30:00-07:00 1999-01-01 12:30:00-07:00 0.0 128.0 0.62 \n", + "... ... ... ... ... \n", + "1999-12-31 11:30:00-07:00 1999-12-31 11:30:00-07:00 985.0 54.0 0.62 \n", + "1999-12-31 12:30:00-07:00 1999-12-31 12:30:00-07:00 0.0 20.0 0.62 \n", + "1999-12-31 13:30:00-07:00 1999-12-31 13:30:00-07:00 562.0 125.0 0.62 \n", + "1999-12-31 14:30:00-07:00 1999-12-31 14:30:00-07:00 530.0 94.0 0.62 \n", + "1999-12-31 15:30:00-07:00 1999-12-31 15:30:00-07:00 636.0 38.0 0.62 \n", + "\n", + " decHRs ghi inc zen \\\n", + "date \n", + "1999-01-01 08:30:00-07:00 8.0 80.701880 48.475978 76.020933 \n", + "1999-01-01 09:30:00-07:00 9.0 272.448214 53.624897 69.098903 \n", + "1999-01-01 10:30:00-07:00 10.0 374.707417 59.980614 64.491556 \n", + "1999-01-01 11:30:00-07:00 11.0 388.725056 62.708533 62.729027 \n", + "1999-01-01 12:30:00-07:00 12.0 128.000000 60.627132 64.052684 \n", + "... ... ... ... ... \n", + "1999-12-31 11:30:00-07:00 11.0 503.862717 62.809489 62.824767 \n", + "1999-12-31 12:30:00-07:00 12.0 20.000000 60.677995 64.176413 \n", + "1999-12-31 13:30:00-07:00 13.0 331.676261 54.631298 68.422996 \n", + "1999-12-31 14:30:00-07:00 14.0 230.625571 49.014823 75.061381 \n", + "1999-12-31 15:30:00-07:00 15.0 109.989149 47.370375 83.500734 \n", + "\n", + " azm pvFrontSH ... \\\n", + "date ... \n", + "1999-01-01 08:30:00-07:00 136.927346 0.453413 ... \n", + "1999-01-01 09:30:00-07:00 149.450034 0.097687 ... \n", + "1999-01-01 10:30:00-07:00 163.612235 0.000000 ... \n", + "1999-01-01 11:30:00-07:00 178.899522 0.000000 ... \n", + "1999-01-01 12:30:00-07:00 194.271504 0.000000 ... \n", + "... ... ... ... \n", + "1999-12-31 11:30:00-07:00 179.051833 0.000000 ... \n", + "1999-12-31 12:30:00-07:00 194.394562 0.000000 ... \n", + "1999-12-31 13:30:00-07:00 208.732678 0.047006 ... \n", + "1999-12-31 14:30:00-07:00 221.471320 0.410432 ... \n", + "1999-12-31 15:30:00-07:00 232.581809 0.749304 ... \n", + "\n", + " No_2_RowFrontGTI_DHIReflected \\\n", + "date \n", + "1999-01-01 08:30:00-07:00 38.542876 \n", + "1999-01-01 09:30:00-07:00 59.087989 \n", + "1999-01-01 10:30:00-07:00 84.420632 \n", + "1999-01-01 11:30:00-07:00 151.717348 \n", + "1999-01-01 12:30:00-07:00 104.174186 \n", + "... ... \n", + "1999-12-31 11:30:00-07:00 50.918924 \n", + "1999-12-31 12:30:00-07:00 15.902219 \n", + "1999-12-31 13:30:00-07:00 100.275915 \n", + "1999-12-31 14:30:00-07:00 81.514253 \n", + "1999-12-31 15:30:00-07:00 31.687341 \n", + "\n", + " No_2_RowBackGTI_DHIReflected \\\n", + "date \n", + "1999-01-01 08:30:00-07:00 13.963074 \n", + "1999-01-01 09:30:00-07:00 19.879422 \n", + "1999-01-01 10:30:00-07:00 16.998278 \n", + "1999-01-01 11:30:00-07:00 26.213606 \n", + "1999-01-01 12:30:00-07:00 18.982420 \n", + "... ... \n", + "1999-12-31 11:30:00-07:00 8.970219 \n", + "1999-12-31 12:30:00-07:00 3.039516 \n", + "1999-12-31 13:30:00-07:00 36.101667 \n", + "1999-12-31 14:30:00-07:00 27.085635 \n", + "1999-12-31 15:30:00-07:00 11.281356 \n", + "\n", + " No_3_RowFrontGTI_DHIReflected \\\n", + "date \n", + "1999-01-01 08:30:00-07:00 42.857208 \n", + "1999-01-01 09:30:00-07:00 63.614629 \n", + "1999-01-01 10:30:00-07:00 89.780862 \n", + "1999-01-01 11:30:00-07:00 151.710013 \n", + "1999-01-01 12:30:00-07:00 109.117716 \n", + "... ... \n", + "1999-12-31 11:30:00-07:00 50.914914 \n", + "1999-12-31 12:30:00-07:00 16.840554 \n", + "1999-12-31 13:30:00-07:00 94.736906 \n", + "1999-12-31 14:30:00-07:00 77.358722 \n", + "1999-12-31 15:30:00-07:00 25.879110 \n", + "\n", + " No_3_RowBackGTI_DHIReflected \\\n", + "date \n", + "1999-01-01 08:30:00-07:00 16.536974 \n", + "1999-01-01 09:30:00-07:00 23.543209 \n", + "1999-01-01 10:30:00-07:00 19.528145 \n", + "1999-01-01 11:30:00-07:00 23.438825 \n", + "1999-01-01 12:30:00-07:00 21.419067 \n", + "... ... \n", + "1999-12-31 11:30:00-07:00 8.078832 \n", + "1999-12-31 12:30:00-07:00 3.506385 \n", + "1999-12-31 13:30:00-07:00 33.907382 \n", + "1999-12-31 14:30:00-07:00 25.439528 \n", + "1999-12-31 15:30:00-07:00 10.594884 \n", + "\n", + " No_4_RowFrontGTI_DHIReflected \\\n", + "date \n", + "1999-01-01 08:30:00-07:00 48.919435 \n", + "1999-01-01 09:30:00-07:00 68.082034 \n", + "1999-01-01 10:30:00-07:00 93.341094 \n", + "1999-01-01 11:30:00-07:00 151.710013 \n", + "1999-01-01 12:30:00-07:00 112.758045 \n", + "... ... 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12:30:00-07:00 114.195020 \n", + "... ... \n", + "1999-12-31 11:30:00-07:00 50.912929 \n", + "1999-12-31 12:30:00-07:00 17.660075 \n", + "1999-12-31 13:30:00-07:00 83.079702 \n", + "1999-12-31 14:30:00-07:00 53.359667 \n", + "1999-12-31 15:30:00-07:00 22.234438 \n", + "\n", + " No_5_RowBackGTI_DHIReflected \\\n", + "date \n", + "1999-01-01 08:30:00-07:00 19.552395 \n", + "1999-01-01 09:30:00-07:00 27.835303 \n", + "1999-01-01 10:30:00-07:00 24.737572 \n", + "1999-01-01 11:30:00-07:00 27.270479 \n", + "1999-01-01 12:30:00-07:00 27.759135 \n", + "... ... \n", + "1999-12-31 11:30:00-07:00 9.307360 \n", + "1999-12-31 12:30:00-07:00 4.454619 \n", + "1999-12-31 13:30:00-07:00 25.794825 \n", + "1999-12-31 14:30:00-07:00 19.353427 \n", + "1999-12-31 15:30:00-07:00 8.057764 \n", + "\n", + " No_6_RowFrontGTI_DHIReflected \\\n", + "date \n", + "1999-01-01 08:30:00-07:00 51.929540 \n", + "1999-01-01 09:30:00-07:00 72.439652 \n", + "1999-01-01 10:30:00-07:00 95.100730 \n", + "1999-01-01 11:30:00-07:00 151.705099 \n", + "1999-01-01 12:30:00-07:00 114.141512 \n", + "... ... \n", + "1999-12-31 11:30:00-07:00 50.912929 \n", + "1999-12-31 12:30:00-07:00 17.516879 \n", + "1999-12-31 13:30:00-07:00 72.610553 \n", + "1999-12-31 14:30:00-07:00 48.035219 \n", + "1999-12-31 15:30:00-07:00 20.015404 \n", + "\n", + " No_6_RowBackGTI_DHIReflected \n", + "date \n", + "1999-01-01 08:30:00-07:00 18.586181 \n", + "1999-01-01 09:30:00-07:00 26.544291 \n", + "1999-01-01 10:30:00-07:00 25.591172 \n", + "1999-01-01 11:30:00-07:00 32.426875 \n", + "1999-01-01 12:30:00-07:00 28.538898 \n", + "... ... \n", + "1999-12-31 11:30:00-07:00 10.886255 \n", + "1999-12-31 12:30:00-07:00 4.553734 \n", + "1999-12-31 13:30:00-07:00 19.804484 \n", + "1999-12-31 14:30:00-07:00 14.859339 \n", + "1999-12-31 15:30:00-07:00 6.184715 \n", + "\n", + "[4173 rows x 92 columns]\n", + "DatetimeIndex(['1999-01-01 00:30:00-07:00', '1999-01-01 01:30:00-07:00',\n", + " '1999-01-01 02:30:00-07:00', '1999-01-01 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12:30 6.5 4.0 \n", + "... ... ... ... ... \n", + "1999-12-31 12:30:00-07:00 12/31/1999 12:30 1.6 9.0 \n", + "1999-12-31 13:30:00-07:00 12/31/1999 13:30 0.5 8.0 \n", + "1999-12-31 14:30:00-07:00 12/31/1999 14:30 0.4 7.0 \n", + "1999-12-31 15:30:00-07:00 12/31/1999 15:30 1.0 5.0 \n", + "1999-12-31 16:30:00-07:00 12/31/1999 16:30 1.3 4.0 \n", + "\n", + " DHI DNI GHI ALB \n", + "1999-01-01 08:30:00-07:00 3.850000e-23 0.000000e+00 3.850000e-23 0.03618 \n", + "1999-01-01 09:30:00-07:00 2.240000e-22 0.000000e+00 2.240000e-22 0.03618 \n", + "1999-01-01 10:30:00-07:00 8.013000e-22 4.121000e-42 8.013000e-22 0.03618 \n", + "1999-01-01 11:30:00-07:00 1.608000e-21 1.172000e-37 1.608000e-21 0.03618 \n", + "1999-01-01 12:30:00-07:00 1.688000e-21 2.172000e-37 1.688000e-21 0.03618 \n", + "... ... ... ... ... \n", + "1999-12-31 12:30:00-07:00 1.648000e-21 1.603000e-37 1.648000e-21 0.03618 \n", + "1999-12-31 13:30:00-07:00 8.931000e-22 2.435000e-41 8.931000e-22 0.03618 \n", + "1999-12-31 14:30:00-07:00 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(MM/DD/YYYY) Time (HH:MM) Wspd Dry-bulb \\\n", + "1999-01-01 08:30:00-07:00 1/1/1999 08:30 4.7 1.0 \n", + "1999-01-01 09:30:00-07:00 1/1/1999 09:30 6.3 2.0 \n", + "1999-01-01 10:30:00-07:00 1/1/1999 10:30 7.0 3.0 \n", + "1999-01-01 11:30:00-07:00 1/1/1999 11:30 6.8 4.0 \n", + "1999-01-01 12:30:00-07:00 1/1/1999 12:30 6.5 4.0 \n", + "... ... ... ... ... \n", + "1999-12-31 12:30:00-07:00 12/31/1999 12:30 1.6 9.0 \n", + "1999-12-31 13:30:00-07:00 12/31/1999 13:30 0.5 8.0 \n", + "1999-12-31 14:30:00-07:00 12/31/1999 14:30 0.4 7.0 \n", + "1999-12-31 15:30:00-07:00 12/31/1999 15:30 1.0 5.0 \n", + "1999-12-31 16:30:00-07:00 12/31/1999 16:30 1.3 4.0 \n", + "\n", + " DHI DNI GHI ALB \n", + "1999-01-01 08:30:00-07:00 0.07924 0.083840 0.09357 0.02349 \n", + "1999-01-01 09:30:00-07:00 0.12830 0.250100 0.20430 0.02441 \n", + "1999-01-01 10:30:00-07:00 0.15340 0.354300 0.29480 0.02428 \n", + "1999-01-01 11:30:00-07:00 0.16440 0.402300 0.34560 0.02404 \n", + "1999-01-01 12:30:00-07:00 0.16510 0.405400 0.34910 0.02402 \n", + "... ... ... ... ... \n", + "1999-12-31 12:30:00-07:00 0.16470 0.403900 0.34740 0.02404 \n", + "1999-12-31 13:30:00-07:00 0.15520 0.362200 0.30270 0.02426 \n", + "1999-12-31 14:30:00-07:00 0.13230 0.266300 0.21690 0.02444 \n", + "1999-12-31 15:30:00-07:00 0.08717 0.106200 0.10730 0.02372 \n", + "1999-12-31 16:30:00-07:00 0.01266 0.000095 0.01266 0.02218 \n", + "\n", + "[4301 rows x 8 columns]\n", + "False\n", + "Empty DataFrame\n", + "Columns: []\n", + "Index: [1999-01-01 08:30:00-07:00, 1999-01-01 09:30:00-07:00, 1999-01-01 10:30:00-07:00, 1999-01-01 11:30:00-07:00, 1999-01-01 12:30:00-07:00, 1999-01-01 13:30:00-07:00, 1999-01-01 14:30:00-07:00, 1999-01-01 15:30:00-07:00, 1999-01-01 16:30:00-07:00, 1999-01-02 08:30:00-07:00, 1999-01-02 09:30:00-07:00, 1999-01-02 10:30:00-07:00, 1999-01-02 11:30:00-07:00, 1999-01-02 12:30:00-07:00, 1999-01-02 13:30:00-07:00, 1999-01-02 14:30:00-07:00, 1999-01-02 15:30:00-07:00, 1999-01-02 16:30:00-07:00, 1999-01-03 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09:30:00-07:00, 1999-01-07 10:30:00-07:00, 1999-01-07 11:30:00-07:00, 1999-01-07 12:30:00-07:00, 1999-01-07 13:30:00-07:00, 1999-01-07 14:30:00-07:00, 1999-01-07 15:30:00-07:00, 1999-01-07 16:30:00-07:00, 1999-01-08 08:30:00-07:00, 1999-01-08 09:30:00-07:00, 1999-01-08 10:30:00-07:00, 1999-01-08 11:30:00-07:00, 1999-01-08 12:30:00-07:00, 1999-01-08 13:30:00-07:00, 1999-01-08 14:30:00-07:00, 1999-01-08 15:30:00-07:00, 1999-01-08 16:30:00-07:00, 1999-01-09 08:30:00-07:00, 1999-01-09 09:30:00-07:00, 1999-01-09 10:30:00-07:00, 1999-01-09 11:30:00-07:00, 1999-01-09 12:30:00-07:00, 1999-01-09 13:30:00-07:00, 1999-01-09 14:30:00-07:00, 1999-01-09 15:30:00-07:00, 1999-01-09 16:30:00-07:00, 1999-01-10 08:30:00-07:00, 1999-01-10 09:30:00-07:00, 1999-01-10 10:30:00-07:00, 1999-01-10 11:30:00-07:00, 1999-01-10 12:30:00-07:00, 1999-01-10 13:30:00-07:00, 1999-01-10 14:30:00-07:00, 1999-01-10 15:30:00-07:00, 1999-01-10 16:30:00-07:00, 1999-01-11 08:30:00-07:00, 1999-01-11 09:30:00-07:00, 1999-01-11 10:30:00-07:00, 1999-01-11 11:30:00-07:00, 1999-01-11 12:30:00-07:00, 1999-01-11 13:30:00-07:00, 1999-01-11 14:30:00-07:00, 1999-01-11 15:30:00-07:00, 1999-01-11 16:30:00-07:00, 1999-01-12 08:30:00-07:00, ...]\n", + "\n", + "[4301 rows x 0 columns]\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "c:\\users\\mprillim\\sam_dev\\bifacialvf\\bifacialvf\\bifacialvf.py:958: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`\n", + " composite_data['G_' + str(header) + '_DHI_' + str(x)] = composite_data['Avg_Row' + str(fb) + 'GTI_DHIDirect'] / Sum_DHI.mask(Sum_DHI == 0) * weather_df['DHI_0' + str(x)]\n", + "c:\\users\\mprillim\\sam_dev\\bifacialvf\\bifacialvf\\bifacialvf.py:960: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`\n", + " composite_data['G_' + str(header) + '_DNI_reflected_' + str(x)] = composite_data['Avg_Row' + str(fb) + 'GTI_DNIReflected'] / Sum_DNI_ALB.mask(Sum_DNI_ALB == 0) * weather_df['DNI_0' + str(x)] * weather_df['ALB_0' + str(x)]\n", + "c:\\users\\mprillim\\sam_dev\\bifacialvf\\bifacialvf\\bifacialvf.py:962: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`\n", + " composite_data['G_' + str(header) + '_DHI_reflected_' + str(x)] = composite_data['Avg_Row' + str(fb) + 'GTI_DHIReflected'] / Sum_DHI_ALB.mask(Sum_DHI_ALB == 0) * weather_df['DHI_0' + str(x)] * weather_df['ALB_0' + str(x)]\n", + "c:\\users\\mprillim\\sam_dev\\bifacialvf\\bifacialvf\\bifacialvf.py:964: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`\n", + " composite_data['G_' + str(header) + '_' + str(x)] = composite_data['G_' + str(header) + '_DNI_' + str(x)] + composite_data['G_' + str(header) + '_DHI_' + str(x)] + composite_data['G_' + str(header) + '_DNI_reflected_' + str(x)] + composite_data['G_' + str(header) + '_DHI_reflected_' + str(x)]\n", + "c:\\users\\mprillim\\sam_dev\\bifacialvf\\bifacialvf\\bifacialvf.py:956: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`\n", + " composite_data['G_' + str(header) + '_DNI_' + str(x)] = composite_data['Avg_Row' + str(fb) + 'GTI_DNIDirect'] / Sum_DNI.mask(Sum_DNI == 0) * weather_df['DNI_0' + str(x)]\n", + "c:\\users\\mprillim\\sam_dev\\bifacialvf\\bifacialvf\\bifacialvf.py:958: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`\n", + " composite_data['G_' + str(header) + '_DHI_' + str(x)] = composite_data['Avg_Row' + str(fb) + 'GTI_DHIDirect'] / Sum_DHI.mask(Sum_DHI == 0) * weather_df['DHI_0' + str(x)]\n", + "c:\\users\\mprillim\\sam_dev\\bifacialvf\\bifacialvf\\bifacialvf.py:960: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`\n", + " composite_data['G_' + str(header) + '_DNI_reflected_' + str(x)] = composite_data['Avg_Row' + str(fb) + 'GTI_DNIReflected'] / Sum_DNI_ALB.mask(Sum_DNI_ALB == 0) * weather_df['DNI_0' + str(x)] * weather_df['ALB_0' + str(x)]\n", + "c:\\users\\mprillim\\sam_dev\\bifacialvf\\bifacialvf\\bifacialvf.py:962: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`\n", + " composite_data['G_' + str(header) + '_DHI_reflected_' + str(x)] = composite_data['Avg_Row' + str(fb) + 'GTI_DHIReflected'] / Sum_DHI_ALB.mask(Sum_DHI_ALB == 0) * weather_df['DHI_0' + str(x)] * weather_df['ALB_0' + str(x)]\n", + "c:\\users\\mprillim\\sam_dev\\bifacialvf\\bifacialvf\\bifacialvf.py:964: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`\n", + " composite_data['G_' + str(header) + '_' + str(x)] = composite_data['G_' + str(header) + '_DNI_' + str(x)] + composite_data['G_' + str(header) + '_DHI_' + str(x)] + composite_data['G_' + str(header) + '_DNI_reflected_' + str(x)] + composite_data['G_' + str(header) + '_DHI_reflected_' + str(x)]\n" ] } ], @@ -274,7 +1958,7 @@ "#display(data)\n", "print(INPUT_SPECTRA)\n", "\n", - "#Test function\n", + "#Test function \n", "#cusotm_albedo['Summer']\n", "#custom_albedo['Winter']\n", "# custom_albedo['Snow']\n", @@ -283,7 +1967,8 @@ "#merge in development branch changes\n", "#KGPCY Python package\n", "custom_albedo_summer = 'A006'\n", - "custom_albedo_winter = { #required: startDate, wavelength (if len(albedo) > 1), albedo, isSnow defaults to False\n", + "custom_albedo_winter = 'A008'\n", + "custom_albedo_snow = { #required: startDate, wavelength (if len(albedo) > 1), albedo, isSnow defaults to False\n", " \"data_entry_person\": \"Michael Kempe\",\n", " \"date_entered\": \"7/28/2025\",\n", " \"DOI\": \"10.3390/ijerph15071507\",\n", @@ -292,20 +1977,27 @@ " \"reference\": \"Turner J, Parisi AV. Ultraviolet Radiation Albedo and Reflectance in Review: The Influence to Ultraviolet Exposure in Occupational Settings. Int J Environ Res Public Health. 2018 Jul 17;15(7):1507.\",\n", " \"keywords\": \"snow, ground\",\n", " \"months\": \"1,2,3,10,11,12\",\n", - " \"startDate\": \"January 1\", #Day of Year? 0-365\n", - " \"HourOfYear\": \"1\", #Hour of Year? 1-8760\n", - " \"isSnow\": \"False\",\n", + " \"startDate\": \"January 1\", #Day of Year? 0-365 \n", + " \"DayOfYear\": 1, #Hour or Day of Year? 1-8760\n", + " \"isSnow\": True,\n", " \"comments\": \"Data is emperically extrapolated from 280 nm to 297 nm. Data extracted from Turner et al. Figure 1 as a reference to Doda & Green Snow-Ground. Doda D., Green A. Surface Reflectance Measurements in the UV from an Airborne Platform. Part 1. Appl. Opt. 1980;19:2140-2145. doi: 10.1364/AO.19.002140. Doda D., Green A. Surface Reflectance Measurements in the Ultraviolet from an Airborne Platform. Part 2. Appl. Opt. 1981;20:636-642. doi: 10.1364/AO.20.000636.\",\n", " \"wavelength\": \"280, 297.32034, 300.02435, 301.8514, 305.79782, 310.10962, 313.21558, 317.4543, 322.86237, 329.9513, 331.19366, 339.89038, 343.06943, 350.34103, 360.02435, 369.96347, 380.3776, 386.77222, 390.0609, 400.14615\",\n", " \"albedo\": \"20, 29.515152, 28.30303, 29.454546, 28.90909, 34.696968, 36.757576, 39.363636, 39.21212, 38.60606, 41.272728, 40.909092, 42.242424, 42.21212, 40.575756, 43.21212, 43.090908, 43.454544, 43.60606, 39.757576\"\n", "}\n", "#Startdate, albedo, wavelength -> then next one + boolean logic for snow ()\n", "custom_albedo_snow = {}\n", - "# custom_albedo_snow\n", - "spectra_folder = 'spectra' #If you have already pulled the spectra from SMARTS, pass the folder path to avoid going through the donwload process again.\n", + "custom_albedo_dict = {}\n", + "custom_albedo_dict['Summer'] = custom_albedo_summer\n", + "custom_albedo_dict['Winter'] = custom_albedo_winter\n", + "custom_albedo_dict['Snow'] = custom_albedo_snow\n", + "#Can have as many as you want, but need to define the start date and if snow or not.\n", + "# custom_albedo_snow \n", + "spectra_folder = 'spectra' #If you have already pulled the spectra from SMARTS, pass the folder path to avoid going through the donwload process again. \n", + "# spectra_folder = None\n", "wavelengths = np.arange(280, 400, 25) # Example wavelengths from 280 nm to 400 nm in steps of 25 nm\n", - "#data = pvdeg.spectral.spectrally_resolved_irradiance(weather_df=weather_df, meta=meta, wavelengths=wavelengths, frontResultsOnly=None,\n", - "# spectra_folder=spectra_folder, custom_albedo_summer=custom_albedo_summer, custom_albedo_winter=custom_albedo_winter, **irradiance_kwarg)\n", + "data = pvdeg.spectral.spectrally_resolved_irradiance(weather_df=weather_df, meta=meta, wavelengths=wavelengths, frontResultsOnly=None,\n", + " spectra_folder=spectra_folder, **irradiance_kwarg)\n", + "\n", "#return front, back, or both (True, False, None)\n", "#bool frontResultsonly = True for front only\n", "#separate columns for front and back irradiance: spectra_front: etc. , spectra_back: etc. (see spectra_pytest.csv)\n", @@ -316,25 +2008,18 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "#### Get Cell Temperature and Module Surface Temperature\n", + "#### Cell or Module Surface Temperature\n", "The following will calculate the cell and module surface temperature using the King model as a default. Other models can be used as described at, \n", "https://pvlib-python.readthedocs.io/en/stable/reference/pv_modeling/temperature.html. The difference is less than one °C for ground mounted systems\n", "but can be as high as 3 °C for a high temperature building integrated system.\n", "\n", - "Here the temperatures are added to the dataframe and the 'temp_module' temperature is selected as the default 'temperature' for the degradation calculations. If it is a cell degradation that is being investigated, 'temp_cell' should be used for the temperature." + "Here the temperatures are added to the dataframe and the module temperature is selected as the default 'temperatue' for the degradation calculations. If it is a cell degradation that is being investigated, temp_cell should be used." ] }, { "cell_type": "code", - "execution_count": 8, - "metadata": { - "execution": { - "iopub.execute_input": "2025-10-04T11:18:58.293298Z", - "iopub.status.busy": "2025-10-04T11:18:58.292956Z", - "iopub.status.idle": "2025-10-04T11:18:58.298475Z", - "shell.execute_reply": "2025-10-04T11:18:58.297919Z" - } - }, + "execution_count": null, + "metadata": {}, "outputs": [], "source": [ "temp_cell = pvdeg.temperature.cell(weather_df=weather_df, meta=meta, poa=poa_df)\n", @@ -352,35 +2037,54 @@ "metadata": {}, "source": [ "#### Humidity\n", - "Depending on the component for which the calculation is being run on, the desired humidity may be the atmospheric humidity, the module surface humidity, the humidity in front of a cell with a permeable backsheet, the humidity in the backsheet, the humidity in the back encapsulant or another custom humidity location such as a diffusion limited location. The folowing are options for doing all of these calculations. Here all the different humidities are put in the weather_df dataframe, but to select one to be specifically used it should be named 'RH' for most degradation functions (check the documentation of a specific degradation calculation if in doubt). Here the surface humidity is selected as a default.\n", - "\n", + "Depending on the component for which the calculation is being run on, the desired humidity may be the atmospheric humidity, the module surface humidity, the humidity in front of a cell with a permeable backsheet, the humidity in the backsheet, the humidity in the back encapsulant or another custom humidity location such as a diffusion limited location. The folowing are options for doing all of these calculations. Here all the different humidities are put in the weather_df dataframe, but to select one to be specifically used it should be named 'RH' for most degradation functions (check the documentation of a specific degradation calculation if in doubt). Here the surface humidity is selected as a default." + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "# Calculate relative humidity at different locations in the module\n", + "RH_surface = pvdeg.humidity.surface_relative(weather_df['relative_humidity'], weather_df['temp_air'],temp_module)\n", + "RH_front_encapsulant = pvdeg.humidity.front_encapsulant(weather_df['relative_humidity'], weather_df['temp_air'],temp_cell,encapsulant='W001')\n", + "RH_back_encapsulant = pvdeg.humidity.back_encapsulant_water_concentration(\n", + " temp_module = temp_module, \n", + " rh_surface = RH_surface,\n", + " backsheet='W017',\n", + " encapsulant='W001')\n", + "Ce_back_encapsulant = pvdeg.humidity.back_encapsulant_water_concentration(\n", + " temp_module = temp_module, \n", + " rh_surface = RH_surface,\n", + " backsheet='W017',\n", + " encapsulant='W001', \n", + " output='ce')\n", + "RH_backsheet = (RH_surface + RH_back_encapsulant) / 2\n", + "\n" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ "Append the calculated values into the weather DataFrame.\n", "Note: putting the values into the weather_df DataFrame is not strictly necessary, but may be convenient for later use in the degradation calculations." ] }, { "cell_type": "code", - "execution_count": 9, - "metadata": { - "execution": { - "iopub.execute_input": "2025-10-04T11:18:58.301272Z", - "iopub.status.busy": "2025-10-04T11:18:58.300847Z", - "iopub.status.idle": "2025-10-04T11:18:58.640088Z", - "shell.execute_reply": "2025-10-04T11:18:58.639266Z" - } - }, + "execution_count": null, + "metadata": {}, "outputs": [], "source": [ - "RH_module = pvdeg.humidity.module(\n", - " weather_df=weather_df,\n", - " poa=poa_df,\n", - " temp_module = temp_module,\n", - " backsheet='W017',\n", - " backsheet_thickness=0.30,\n", - " encapsulant='W001',\n", - " back_encap_thickness=0.50)\n", + "weather_df['RH_surface'] = RH_surface\n", + "weather_df['RH_front_encapsulant'] = RH_front_encapsulant\n", + "weather_df['Ce_back_encapsulant'] = Ce_back_encapsulant \n", + "weather_df['RH_back_encapsulant'] = RH_back_encapsulant\n", + "weather_df['RH_backsheet'] = RH_backsheet\n", "\n", - "weather_df=pd.concat([weather_df, RH_module], axis=1)" + "weather_df['poa_global'] = poa_df['poa_global']" ] }, { @@ -395,23 +2099,17 @@ }, { "cell_type": "code", - "execution_count": 10, - "metadata": { - "execution": { - "iopub.execute_input": "2025-10-04T11:18:58.643497Z", - "iopub.status.busy": "2025-10-04T11:18:58.643203Z", - "iopub.status.idle": "2025-10-04T11:18:58.648371Z", - "shell.execute_reply": "2025-10-04T11:18:58.647463Z" - } - }, + "execution_count": null, + "metadata": {}, "outputs": [], "source": [ + "weather_df['RH'] = RH_surface\n", + "#weather_df['RH'] =RH_front_encapsulant\n", + "#weather_df['RH'] = Ce_back_encapsulant \n", + "#weather_df['RH'] = RH_back_encapsulant\n", + "#weather_df['RH'] = RH_backsheet\n", "\n", - "weather_df['RH'] = RH_module['RH_surface_outside']\n", - "#weather_df['RH'] = RH_module['RH_front_encap']\n", - "#weather_df['RH'] = RH_module['Ce_back_encap']\n", - "#weather_df['RH'] = RH_module['RH_back_encap']\n", - "#weather_df['RH'] = RH_module['RH_backsheet']" + "#display(weather_df)" ] }, { @@ -427,20 +2125,13 @@ }, { "cell_type": "code", - "execution_count": 11, - "metadata": { - "execution": { - "iopub.execute_input": "2025-10-04T11:18:58.650910Z", - "iopub.status.busy": "2025-10-04T11:18:58.650655Z", - "iopub.status.idle": "2025-10-04T11:18:58.676286Z", - "shell.execute_reply": "2025-10-04T11:18:58.675534Z" - } - }, + "execution_count": null, + "metadata": {}, "outputs": [ { "data": { "text/html": [ - "

JSON Output at fp: C:\\Users\\mspringe\\OneDrive - NREL\\msp\\projects\\2023_DegradationTools\\Github\\PVDegradationTools\\pvdeg\\data\\DegradationDatabase.json

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\"KeyWords\": \"Gloss, color shift, cracking, gloss loss, fluorescence loss, retroreflectance loss, adhesive transfer (clean removal), shrinkage, yellowing\",
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\"KeyWords\": \"Temperature, humidity, CIGS, Moisture ingress, thin film\",
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\"KeyWords\": \"humidity, irradiance, yellowness, yellowness index\",
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\"DOI\": \"10.1016/j.polymdegradstab.2013.04.001\",
\"SourceTitle\": \"Pickett Coyle Hydrolysis Kinetics of condensation polymers under humidity aging conditions.pdf\",
\"Authors\": \"James E. Pickett, Dennis J. Coyle\",
\"KeyWords\": \"PET, humidity, hydrothermal, polyester, pET, aryl ester, aromatic polyester, hydrolysis, poly(ethylene terephthalate)\",
\"Material\": \"poly(ethylene terephthalate), PET-D\",
\"Degradation\": \"Hydrolysis\",
\"Comments\": \"RH is a fraction between 0 and 1. Data from Table 5. The paper provided variability for a 95% confidence interval which was divided by 2 to get the standard deviation. This is the time to failure for the PET-D material.\",
\"EquationType\": \"arrhenius\",
\"Equation\": \"t_{fail}=R_0\\\\cdot \\\\frac {e^{ \\\\left( \\\\frac{E_a}{R\\\\cdot T_K } \\\\right) }}{RH^2}\",
\"t_fail\": {
\"units\": \"days\"
},
\"R_0\": {
\"value\": 7.835e+16,
\"units\": \"days\"
},
\"ln(R_0)\": {
\"value\": 38.9,
\"stdev\": 1,
\"units\": \"ln(days)\"
},
\"E_a\": {
\"value\": 128,
\"stdev\": 2.95,
\"units\": \"kJ/mol\"
},
\"n\": {
\"value\": 2,
\"stdev\": 0,
\"units\": \"NA\"
}
}
D013:
    {
\"DataEntryPerson\": \"Jada Swailes\",
\"DateEntered\": \"3/21/2023\",
\"DOI\": \"10.1016/j.polymdegradstab.2013.04.001\",
\"SourceTitle\": \"Pickett Coyle Hydrolysis Kinetics of condensation polymers under humidity aging conditions.pdf\",
\"Authors\": \"James E. Pickett, Dennis J. Coyle\",
\"KeyWords\": \"RPA, resorcinol polyarylate, humidity, hydrothermal, polyester, polyarylate, aryl ester, aromatic polyester, hydrolysis\",
\"Material\": \"resorcinol polyarylate (RPA-A)\",
\"Degradation\": \"Hydrolysis\",
\"Comments\": \"RH is a fraction between 0 and 1. Data from Table 5. The paper provided variability for a 95% confidence interval which was divided by 2 to get the standard deviation.\",
\"EquationType\": \"arrhenius\",
\"Equation\": \"t_{fail}=R_0\\\\cdot \\\\frac {e^{ \\\\left( \\\\frac{E_a}{R\\\\cdot T_K } \\\\right) }}{RH^2}\",
\"t_fail\": {
\"units\": \"days\"
},
\"R_0\": {
\"value\": 64649000000000.0,
\"units\": \"days\"
},
\"ln(R_0)\": {
\"value\": 31.8,
\"stdev\": 1.85,
\"units\": \"ln(days)\"
},
\"E_a\": {
\"value\": 105,
\"stdev\": 5.45,
\"units\": \"kJ/mol\"
},
\"n\": {
\"value\": 2,
\"stdev\": 0,
\"units\": \"NA\"
}
}
D014:
    {
\"DataEntryPerson\": \"Jada Swailes\",
\"DateEntered\": \"3/21/2023\",
\"DOI\": \"10.1016/j.polymdegradstab.2013.04.001\",
\"SourceTitle\": \"Pickett Coyle Hydrolysis Kinetics of condensation polymers under humidity aging conditions.pdf\",
\"Authors\": \"James E. Pickett, Dennis J. Coyle\",
\"KeyWords\": \"Humidity, hydrothermal, polyester, polyarylate, aryl ester, aromatic polyester, resorcinol polyarylate, hydrolysis\",
\"Material\": \"RPA-B,C\",
\"Degradation\": \"Hydrolysis\",
\"Comments\": \"RH is a fraction between 0 and 1. Data from Table 5. The paper provided variability for a 95% confidence interval which was divided by 2 to get the standard deviation.\",
\"EquationType\": \"arrhenius\",
\"Equation\": \"t_{fail}=R_0\\\\cdot \\\\frac {e^{ \\\\left( \\\\frac{E_a}{R\\\\cdot T_K } \\\\right) }}{RH^2}\",
\"t_fail\": {
\"units\": \"days\"
},
\"ln(R_0)\": {
\"value\": 30,
\"stdev\": 2,
\"units\": \"ln(days)\"
},
\"R_0\": {
\"value\": 1.98626e+49,
\"units\": \"days\"
},
\"E_a\": {
\"value\": 102,
\"stdev\": 6.05,
\"units\": \"kJ/mol\"
},
\"n\": {
\"value\": 2,
\"stdev\": 0,
\"units\": \"NA\"
}
}
D015:
    {
\"DataEntryPerson\": \"Weston Wall\",
\"DateEntered\": \"3/27/2023\",
\"DOI\": \"10.1021/jacs.2c00391\",
\"SourceTitle\": \"Water-Accelerated Photo-oxidation of CH3NH3PbI3 Perovskite: Mechanism, rate orders, and rate constants\",
\"Authors\": \"Timothy D. Siegler, Wiley A. Dunlap-Shohl, Yuhuan Meng, Wylie F. Kau, Preetham P. Sunkari, Chang En Tsai, Zachary J. Armstrong, Yu-chia Chen, David A. C. Beck, Marina Meila, Hugh W. Hillhouse\",
\"Reference\": \"Journal of the American Chemical Society 2022 144 (12), 5552-5561\",
\"KeyWords\": \"Dry Photooxidation, Water Photooxidiation\",
\"Material\": \"Halide Perovskite (MAPbI3)\",
\"Degradation\": \"Optical Transmittance In-Situ measurement\",
\"Comments\": \"LED Light at 550nm\",
\"EquationType\": \"Perovskite_1\",
\"Equation\": \"R_D=R_{0,WPO}\\\\cdot e^{ \\\\left( \\\\frac{-E_{a,WPO}}{R\\\\cdot T_K } \\\\right) } \\\\cdot \\\\left< \\\\frac{P_{O_2}\\\\cdot P_{H_2 O}\\\\cdot G_{550}^{0.7} }{ \\\\left[ 1+K_{2W}\\\\cdot P_{O_2} \\\\left(1+K_{3W}\\\\cdot G_{550}^{0.7} \\\\right) \\\\right]^2} \\\\right> +R_{0,DPO}\\\\cdot e^ {\\\\left( \\\\frac{-E_{a,DPO}}{R\\\\cdot T_K} \\\\right) } \\\\cdot \\\\frac{P_{O_2} \\\\cdot G_{550}^{0.7} }{1+K_{2D}\\\\cdot P_{O_2} \\\\cdot \\\\left( 1+K_3D\\\\cdot G_{550}^{0.7} \\\\right)} +R_{0,hum}\\\\cdot e^ { \\\\left( \\\\frac {-E_a^{hum}}{R\\\\cdot T_K } \\\\right) } \\\\cdot P_{H_2 O}\\\\cdot G_{550}^{0.7}+R_{0,therm}\\\\cdot e^{ \\\\left( \\\\frac{-E_a^{therm}}{R\\\\cdot T_K } \\\\right) }\",
\"R_D\": {
\"units\": \"mol/(m^2\\u00c2\\u00b7s)\"
},
\"R_0,WPO\": {
\"value\": 3.16e-25,
\"units\": \"mol/(m^2\\u00c2\\u00b7s\\u00c2\\u00b7kpa^2 )\\u00c2\\u00b7(photons/(m^2\\u00c2\\u00b7s))^(-0.7)\"
},
\"E_a,WPO\": {
\"value\": -8.6827,
\"units\": \"kJ/mol\"
},
\"K_2W\": {
\"value\": 0.0044,
\"units\": \"1/kPa\"
},
\"K_3W\": {
\"value\": 4.32e-15,
\"units\": \"(photons/(m^2\\u00c2\\u00b7s))^(-0.7)\"
},
\"R_0,DPO\": {
\"value\": 5.45e-15,
\"units\": \"mol/(m^2\\u00c2\\u00b7s\\u00c2\\u00b7kpa )\\u00c2\\u00b7(photons/(m^2\\u00c2\\u00b7s))^(-0.7)\"
},
\"E_a,DPO\": {
\"value\": 59.82,
\"units\": \"kJ/mol\"
},
\"K_2D\": {
\"value\": 0.00328,
\"units\": \"1/kPa\"
},
\"K_3D\": {
\"value\": 6.97e-15,
\"units\": \"(photons/(m^2\\u00c2\\u00b7s))^(-0.7)\"
},
\"R_0,hum\": {
\"value\": 9.2e-22,
\"units\": \"mol/(m^2\\u00c2\\u00b7s\\u00c2\\u00b7kpa)\\u00c2\\u00b7(photons/(m^2\\u00c2\\u00b7s))^(-0.7)\"
},
\"E_a^hum\": {
\"value\": 19.3,
\"units\": \"kJ/mol\"
},
\"E_a^therm\": {
\"value\": 43.42,
\"units\": \"kJ/mol\"
},
\"R_0,therm\": {
\"value\": 0.00041,
\"units\": \"mol/(m^2\\u00c2\\u00b7s)\"
}
}
D016:
    {
\"DataEntryPerson\": \"Weston Wall\",
\"DateEntered\": \"4/7/2023\",
\"DOI\": \"10.1002/pip.2908\",
\"SourceTitle\": \"Evaluation and modeling of the potential effects of a module manufacturing anomaly\",
\"Authors\": \"Michael D Kempe, Dirk C Jordan\",
\"Reference\": \"Kempe MD, Jordan DC. Evaluation and modeling of the potential effects of a module manufacturing anomaly. Prog Photovolt Res Appl. 2017. https://doi.org/10.1002/pip.2908\",
\"KeyWords\": \"Damp Heat, Durability, Kinetics, Manufacturing Quality, Reliability, Solder Flux, Metallization contact resistance\",
\"Material\": \"multi-crystalline Silicon\",
\"Degradation\": \"Fill Factor\",
\"Comments\": \"Degradation of metallization contact to the cell due to flux\",
\"EquationType\": \"FF_Arrhenius\",
\"Equation\": \"FF_t=FF_0\\\\cdot \\\\left( 1- \\\\frac{A_i}{A_o} \\\\cdot \\\\left< 1-e^{\\\\left[ -e^{\\\\left( B_1- \\\\frac{B_2}{R\\\\cdot T_K }-B_3\\\\cdot RH \\\\right) \\\\cdot t } \\\\right] } \\\\right> \\\\right)\",
\"FF\": {
\"units\": \"%\"
},
\"B_1\": {
\"value\": 14.7,
\"stdev\": 4.4
},
\"B_2\": {
\"value\": 76.22,
\"stdev\": 0.135,
\"units\": \"kJ/mol\"
},
\"B_3\": {
\"value\": -0.005,
\"stdev\": 0.012,
\"units\": \"1/%\"
},
\"A\": {
\"value\": 0.073,
\"stdev\": 0.02
},
\"Corr-B_1-B_2\": 0.985,
\"Corr-B_1-B_3\": 0.216,
\"Corr-B_2-B_3\": 0.0452
}
D017:
    {
\"DataEntryPerson\": \"Weston Wall\",
\"DateEntered\": \"4/17/2023\",
\"SourceTitle\": \"PV CONNECTORS, BOTTLENECK OF 40 YEARS LIFETIME MODULES?\",
\"Authors\": \"Xuanji Yu , Ben Huang, Ruirui Lv, Jean-Nicolas Jaubert , Tao Xu, Guangchun Zhang\",
\"KeyWords\": \"Connectors, Polymer sealing failure, metal pin corrosion, 40 year reliability\",
\"Material\": \"Connectors\",
\"Degradation\": \"Wet insulation resistance < 400Mohm\",
\"EquationType\": \"Arrhenius_Connector\",
\"Equation\": \"R_D=R_{0,T} \\\\cdot e^ {\\\\left( \\\\frac {-E_{a,T}}{R\\\\cdot T_K } \\\\right)}+R_{0,H}\\\\cdot RH^n\\\\cdot e^{ \\\\left( \\\\frac{-E_{a,H}}{R\\\\cdot T_K } \\\\right) }+R_{0,P}\\\\cdot G^P\\\\cdot e^{ \\\\left( \\\\frac {-E_{a,P}}{R\\\\cdot T_K } \\\\right) }\",
\"R_D\": {},
\"R_0,T\": {},
\"E_a,T\": {},
\"R_0,H\": {},
\"n\": {},
\"E_a,H\": {},
\"R_0,P\": {},
\"p\": {},
\"E_a,P\": {}
}
D018:
    {
\"DataEntryPerson\": \"Jada Swailes\",
\"DateEntered\": \"4/14/2023\",
\"DOI\": \"10.1016/j.solmat.2011.02.013\",
\"SourceTitle\": \"An Arrhenius approach to estimating organic photovoltaic module weathering acceleration factors\",
\"Authors\": \"Olivier Haillant, David Dumbleton, Allen Zielnik\"
}
D019:
    {
\"DataEntryPerson\": \"Weston Wall\",
\"DateEntered\": \"4/27/2023\",
\"DOI\": \"10.1109/JPHOTOV.2018.2850527\",
\"SourceTitle\": \"Quantification of Environmental Effects on PV Module Degradation: A Physics-Based Data Driven Modeling Method\",
\"Authors\": \"Arun Bala Subramaniyan, Rong Pan, Joseph Kuitche, GovindaSamy TamizhMani\",
\"Reference\": \"A. Bala Subramaniyan, R. Pan, J. Kuitche and G. TamizhMani, 'Quantification of Environmental Effects on PV Module Degradation: A Physics-Based Data-Driven Modeling Method,' in IEEE Journal of Photovoltaics, vol. 8, no. 5, pp. 1289-1296, Sept. 2018, doi: 10.1109/JPHOTOV.2018.2850527.\",
\"KeyWords\": \"Outdoor, mono-crystalline Silicon, effeciency, Cumulative effects model\",
\"Material\": \"mono-Crystalline Silicon\",
\"Degradation\": \"Overall power generated\",
\"Comments\": \"Uncertainties given using 95% confidence interval\",
\"EquationType\": \"Arrhenius_Coffin_Manson_Peck\",
\"Equation\": \"R_D=B_0\\\\cdot e^{\\\\left( \\\\frac{-B_1}{R\\\\cdot T_K}\\\\right)}\\\\cdot \\u00ce\\u201dT^{B_2} \\\\cdot UV_{Daily}^{B_3}\\\\cdot {RH_{Daily}}^{B_4}\",
\"R_D\": {
\"units\": \"%/year\"
},
\"R_0\": {
\"value\": 0.35,
\"stdev\": 0.037,
\"units\": \"1/sec\"
},
\"E_a\": {
\"value\": 67.5,
\"stdev\": 7.25,
\"units\": \"kJ/mol\"
},
\"m\": {
\"value\": 2.41,
\"stdev\": 0.03
},
\"p\": {
\"value\": 0.75,
\"stdev\": 0.04375
},
\"n\": {
\"value\": 1.52,
\"stdev\": 0.063
}
}
D020:
    {
\"DataEntryPerson\": \"Weston Wall\",
\"DOI\": \"10.1109/PVSC45281.2020.9300638\",
\"SourceTitle\": \"Failure modes of polyolefin encapsulated double glass modules and corresponding degradation modeling: Part 1 optical durability\",
\"Authors\": \"Ben X. J. Yu, Ruirui Lv, Jean-Nicolas Jaubert, Guoqiang Xing, Julien Dupuis, Eric Sandre, Christophe Dugue, Gilles Goaer\",
\"Reference\": \"B. X. J. Yu et al., 'Failure modes of polyolefin encapsulated double glass modules and corresponding degradation modeling: Part 1 optical durability,' 2020 47th IEEE Photovoltaic Specialists Conference (PVSC), Calgary, AB, Canada, 2020, pp. 1002-1007, doi: 10.1109/PVSC45281.2020.9300638.\",
\"KeyWords\": \"Bifacial, Encapsulants, Delamination, Yellowing, Sevice Life predication\",
\"Material\": \"Encapsulents, (POE, TPO, EVA)\"
}
D021:
    {
\"DataEntryPerson\": \"Weston Wall\",
\"DateEntered\": \"5/15/2023\",
\"DOI\": \"10.1109/PVSC.2018.8547944\",
\"SourceTitle\": \"Acceleration Factor Modeling for Degradation Rate Prediction of Photovoltaic Encapsulant Discoloration\",
\"Authors\": \"Archana Sinha, Shantanu Pore, Arun Balasubramaniyan, GovindaSamy TamizhMani\",
\"Reference\": \"A. Sinha, S. Pore, A. Balasubramaniyan and G. TamizhMani, 'Acceleration Factor Modeling for Degradation Rate Prediction of Photovoltaic Encapsulant Discoloration,' 2018 IEEE 7th World Conference on Photovoltaic Energy Conversion (WCPEC) (A Joint Conference of 45th IEEE PVSC, 28th PVSEC & 34th EU PVSEC), Waikoloa, HI, USA, 2018, pp. 1342-1346, doi: 10.1109/PVSC.2018.8547944.\",
\"KeyWords\": \"Acceleration Factor, Arrhenius, degradation rate, encapsulant discoloration, Lifetime prediction\",
\"Material\": \"EVA Encapsulent, Si-cells\",
\"Degradation\": \"Encapsulent Discoloration, Isc loss\",
\"EquationType\": \"arrhenius\",
\"Equation\": \"R_D=R_0\\\\cdot G^p\\\\cdot e^{\\\\left( \\\\frac{E_a}{R\\\\cdot T_K} \\\\right)}\",
\"R_D\": {
\"value\": 0.1,
\"units\": \"%/year\"
},
\"E_a\": {
\"value\": 29.91,
\"units\": \"kJ/mol\"
},
\"p\": {},
\"R_0\": {}
}
D022:
    {
\"DataEntryPerson\": \"Weston Wall\",
\"DateEntered\": \"5/15/2023\",
\"DOI\": \"10.1002/apmc.1994.052160108\",
\"SourceTitle\": \"The kinetics and mechanism of polyethylene photo-oxidation\",
\"Authors\": \"J. J. C. Cruz-Pinto, M. E. S. Carvalho, J. F. A. Ferreira\",
\"Reference\": \"Cruz Pinto, Jose Joaquim & Carvalho, M. & Ferreira, J.. (2003). The kinetics and mechanism of polyethylene photo-oxidation. Die Angewandte Makromolekulare Chemie. 216. 113 - 133. 10.1002/apmc.1994.052160108. \",
\"KeyWords\": \"Polyethylene, Photoxidation, Weathering, Mechanism, Kinetics\",
\"Material\": \"Polyethylene\",
\"Degradation\": \"Photoxidation\",
\"EquationType\": \"Arrhenius_G_DeltaT\",
\"Equation\": \"R_D=R_0\\\\cdot G\\\\cdot e^{\\\\left( \\\\frac{E_a}{R\\\\cdot T_K} \\\\right)}\\\\cdot \\u00ce\\u201dT\",
\"E_a\": {
\"value\": 58.24,
\"units\": \"kJ/mol\"
},
\"R_D\": {
\"units\": \"%/hour\"
},
\"R_0\": {}
}
D024:
    {
\"DataEntryPerson\": \"Weston Wall\",
\"DateEntered\": \"5/26/2023\",
\"DOI\": \"doi:10.1109/JPHOTOV.2020.3025240\",
\"SourceTitle\": \"Temporary Recovery of the Defect Responsible for Light- and Elevated Temperature-Induced Degradation: Insights Into the Physical Mechanisms Behind LeTID\",
\"Authors\": \"Wolfram Kwapil, Jonas Schon, Tim Niewelt, and Martin C. Schubert\",
\"Reference\": \"W. Kwapil et al., IEEE J. Photovoltaics, vol. 10, no. 6, pp. 1591-1603, 2020, doi: 10.1109/JPHOTOV.2020.3025240.\",
\"KeyWords\": \"Degradation, Defect reactions, light- and elevated temperature-induced degradation, LeTID, model, silicon defects.\",
\"Material\": \"mc-Si cells\",
\"Degradation\": \"LeTID\",
\"Comments\": \"Cell_200Micron\",
\"EquationType\": \"LeTID\",
\"v_ab\": {
\"value\": 33000000,
\"units\": \"(cm^3x)/s\"
},
\"v_ba\": {
\"value\": 4.7e-25,
\"units\": \"(cm^3x)/s\"
},
\"v_bc\": {
\"value\": 13100000,
\"units\": \"(cm^3x)/s\"
},
\"v_cb\": {
\"value\": 0,
\"units\": \"(cm^3x)/s\"
},
\"E_(a, ab)\": {
\"value\": 78.7895,
\"units\": \"kJ/mol\"
},
\"E_(a, ba)\": {
\"value\": -110.9653,
\"units\": \"kJ/mol\"
},
\"E_(a, bc)\": {
\"value\": 84.0442,
\"units\": \"kJ/mol\"
},
\"E_(a, cb)\": {
\"value\": 0,
\"units\": \"kJ/mol\"
},
\"x_ab\": {
\"value\": 1
},
\"x_ba\": {
\"value\": 1.7
},
\"x_bc\": {
\"value\": 1.2
}
}
D025:
    {
\"DataEntryPerson\": \"Weston Wall\",
\"DateEntered\": \"6/8/2023\",
\"DOI\": \"doi:10.1557/s43577-022-00438-8\",
\"SourceTitle\": \"Long-term impact of light- and elevated temperature-induced degradation on photovoltaic arrays\",
\"Authors\": \"I.L. Repins, D.C. Jordan, M.Woodhouse, M. Theristis, J.S. Stein, H.P. Seigneur, D.J. Colvin, J.F. Karas, A.N. McPherson, C. Deline\",
\"Reference\": \"I. Repins et al., MRS Bulletin, 2023. doi: 10.1557/s43577-022-00438-8.\",
\"KeyWords\": \"LeTID, Indoor, Outdoor\",
\"Material\": \"p-Si Cells\",
\"Degradation\": \"LeTID\",
\"Comments\": \"Cell_200Micron\",
\"EquationType\": \"LeTID\",
\"v_ab\": {
\"value\": 46700000,
\"units\": \"(cm^3x)/s\"
},
\"v_ba\": {
\"value\": 4.7e-25,
\"units\": \"(cm^3x)/s\"
},
\"v_bc\": {
\"value\": 19900000,
\"units\": \"(cm^3x)/s\"
},
\"v_cb\": {
\"value\": 0,
\"units\": \"(cm^3x)/s\"
},
\"E_(a, ab)\": {
\"value\": 78.7895,
\"units\": \"kJ/mol\"
},
\"E_(a, ba)\": {
\"value\": -110.9653,
\"units\": \"kJ/mol\"
},
\"E_(a, bc)\": {
\"value\": 84.0442,
\"units\": \"kJ/mol\"
},
\"E_(a, cb)\": {
\"value\": 0,
\"units\": \"kJ/mol\"
},
\"x_ab\": {
\"value\": 1
},
\"x_ba\": {
\"value\": 1.7
},
\"x_bc\": {
\"value\": 1.2
}
}
D026:
    {
\"DataEntryPerson\": \"Weston Wall\",
\"DateEntered\": \"6/8/2023\",
\"DOI\": \"doi:10.1016/j.solmat.2017.08.007\",
\"SourceTitle\": \"Light-induced lifetime degradation in high-performance multicrystalline silicon: Detailed kinetics of the defect activation\",
\"Authors\": \"Dennis Bredemeier, Dominic Walter, Jan Schmidt\",
\"Reference\": \"D. Bredemeier et al., Sol. Energy Mater. Sol. Cells, vol. 173, pp. 2-5, 2017, doi: 10.1016/j.solmat.2017.08.007.\",
\"KeyWords\": \"multi-Si, LeTID, \",
\"Material\": \"multi-Si\",
\"Degradation\": \"LeTID\",
\"Comments\": \"ab158micronwafer_bc200microncell\",
\"EquationType\": \"LeTID\",
\"v_ab\": {
\"value\": 937000000,
\"units\": \"(cm^3x)/s\"
},
\"v_ba\": {
\"value\": 0,
\"units\": \"(cm^3x)/s\"
},
\"v_bc\": {
\"value\": 21500000,
\"units\": \"(cm^3x)/s\"
},
\"v_cb\": {
\"value\": 0,
\"units\": \"(cm^3x)/s\"
},
\"E_(a, ab)\": {
\"value\": 85.8775,
\"units\": \"kJ/mol\"
},
\"E_(a, ba)\": {
\"value\": 0,
\"units\": \"kJ/mol\"
},
\"E_(a, bc)\": {
\"value\": 90.7021,
\"units\": \"kJ/mol\"
},
\"E_(a, cb)\": {
\"value\": 0,
\"units\": \"kJ/mol\"
},
\"x_ab\": {
\"value\": 1
},
\"x_ba\": {
\"value\": 1.7
},
\"x_bc\": {
\"value\": 1.2
}
}
D027:
    {
\"DataEntryPerson\": \"Weston Wall\",
\"DateEntered\": \"6/9/2023\",
\"DOI\": \"doi:10.1109/JPHOTOV.2021.3078367\",
\"SourceTitle\": \"The Influence of Minority Carrier Density on Degradation and Regeneration Kinetics in Multicrystalline Silicon Wafers\",
\"Authors\": \"Guro Marie Wyller, Marie Syre Wiig, Ida Due-Sorensen, Rune Sondena\",
\"Reference\": \"G. Wyller et al., IEEE J. Photovoltaics, vol. 11, no. 4, pp. 878-889, 2021, doi: 10.1109/JPHOTOV.2021.3078367.\",
\"KeyWords\": \"p-type mc-Si Perc, Degradation, LeTID, Hydrogen Involvement\",
\"Material\": \"p-type mc-Si Perc\",
\"Degradation\": \"LeTID\",
\"Comments\": \"wafer_180micron\",
\"EquationType\": \"LeTID\",
\"v_ab\": {
\"value\": 1900000000000,
\"units\": \"(cm^3x)/s\"
},
\"v_ba\": {
\"value\": 0,
\"units\": \"(cm^3x)/s\"
},
\"v_bc\": {
\"value\": 0.284,
\"units\": \"(cm^3x)/s\"
},
\"v_cb\": {
\"value\": 0,
\"units\": \"(cm^3x)/s\"
},
\"E_(a, ab)\": {
\"value\": 133.1584,
\"stdev\": 13.5088,
\"units\": \"kJ/mol\"
},
\"E_(a, ba)\": {
\"value\": 0,
\"units\": \"kJ/mol\"
},
\"E_(a, bc)\": {
\"value\": 54.0353,
\"stdev\": 11.579,
\"units\": \"kJ/mol\"
},
\"E_(a, cb)\": {
\"value\": 0,
\"units\": \"kJ/mol\"
},
\"x_ab\": {
\"value\": 1
},
\"x_ba\": {
\"value\": 1.7
},
\"x_bc\": {
\"value\": 1.2
}
}
D028:
    {
\"DataEntryPerson\": \"Weston Wall\",
\"DateEntered\": \"6/9/2023\",
\"DOI\": \"doi:10.1109/JPHOTOV.2021.3078368\",
\"SourceTitle\": \"The Influence of Minority Carrier Density on Degradation and Regeneration Kinetics in Multicrystalline Silicon Wafers\",
\"Authors\": \"Guro Marie Wyller, Marie Syre Wiig, Ida Due-Sorensen, Rune Sondena\",
\"Reference\": \"G. Wyller et al., IEEE J. Photovoltaics, vol. 11, no. 4, pp. 878-889, 2021, doi: 10.1109/JPHOTOV.2021.3078367.\",
\"KeyWords\": \"p-type mc-Si Perc, Degradation, LeTID, Hydrogen Involvement\",
\"Material\": \"p-type mc-Si Perc\",
\"Degradation\": \"LeTID\",
\"Comments\": \"wafer_200micron\",
\"EquationType\": \"LeTID\",
\"v_ab\": {
\"value\": 483000,
\"units\": \"(cm^3x)/s\"
},
\"v_ba\": {
\"value\": 0,
\"units\": \"(cm^3x)/s\"
},
\"v_bc\": {
\"value\": 0,
\"units\": \"(cm^3x)/s\"
},
\"v_cb\": {
\"value\": 0,
\"units\": \"(cm^3x)/s\"
},
\"E_(a, ab)\": {
\"value\": 64.0704,
\"units\": \"kJ/mol\"
},
\"E_(a, ba)\": {
\"value\": 0,
\"units\": \"kJ/mol\"
},
\"E_(a, bc)\": {
\"value\": 90.7986,
\"units\": \"kJ/mol\"
},
\"E_(a, cb)\": {
\"value\": 0,
\"units\": \"kJ/mol\"
},
\"x_ab\": {
\"value\": 1
},
\"x_ba\": {
\"value\": 1.7
},
\"x_bc\": {
\"value\": 1.2
}
}
D029:
    {
\"DataEntryPerson\": \"Weston Wall\",
\"DateEntered\": \"6/12/2023\",
\"DOI\": \"doi:10.1063/1.5123890\",
\"SourceTitle\": \"Determination of BO-LID and LeTID related activation energies in Cz-Si and FZ-Si using constant injection conditions\",
\"Authors\": \"Alexander Graf, Axel Herguth, Giso Hahn\",
\"Reference\": \"A. Graf, et al., AIP Conference Proceedings, vol. 2147, no. 1, p. 140003, 2019, doi: 10.1063/1.5123890.\",
\"KeyWords\": \"Si, Boron Doped, LeTID, Degradation\",
\"Material\": \"Si, CZ FZ grown\",
\"Degradation\": \"LeTID\",
\"Comments\": \"wafer_152micron\",
\"EquationType\": \"LeTID\",
\"v_ab\": {
\"value\": 483000,
\"units\": \"(cm^3x)/s\"
},
\"v_ba\": {
\"value\": 0,
\"units\": \"(cm^3x)/s\"
},
\"v_bc\": {
\"value\": 0,
\"units\": \"(cm^3x)/s\"
},
\"v_cb\": {
\"value\": 0,
\"units\": \"(cm^3x)/s\"
},
\"E_(a, ab)\": {
\"value\": 75.2364,
\"stdev\": 8.7,
\"units\": \"kJ/mol\"
},
\"E_(a, ba)\": {
\"value\": 0,
\"units\": \"kJ/mol\"
},
\"E_(a, bc)\": {
\"value\": 59.8248,
\"stdev\": 8.7,
\"units\": \"kJ/mol\"
},
\"E_(a, cb)\": {
\"value\": 0,
\"units\": \"kJ/mol\"
},
\"x_ab\": {
\"value\": 1
},
\"x_ba\": {
\"value\": 1.7
},
\"x_bc\": {
\"value\": 1.2
}
}
D030:
    {
\"DataEntryPerson\": \"Weston Wall\",
\"DateEntered\": \"6/15/2023\",
\"DOI\": \"10.1007/3-540-61218-1_6\",
\"SourceTitle\": \"Wavelength sensitivity in polymer photodegradation\",
\"Authors\": \"Anthony L Andrady\",
\"Reference\": \"Andrady, A.L. (1997). Wavelength sensitivity in polymer photodegradation. In: Polymer Analysis Polymer Physics. Advances in Polymer Science, vol 128. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-61218-1_6\",
\"KeyWords\": \"Photodegradation, Vinyl Chloride, Activation Spectrum, Action Spectrum\",
\"Material\": \"Naturally Occuring Polymers, Synthetic Polymers\",
\"Degradation\": \"Photodegradation\",
\"EquationType\": \"Activation Spectrum\",
\"Equation\": \"Activation Spectrum={E_L}\\\\cdot R_0\\\\cdot e^{\\\\left( -B_g\\\\cdot \\u00ce\\u00bb \\\\right)}\",
\"E_L\": {},
\"R_0\": {},
\"B_g\": {},
\"L\": {}
}
D031:
    {
\"DataEntryPerson\": \"Weston Wall\",
\"DateEntered\": \"6/16/2023\",
\"SourceTitle\": \"A Characterization of the Relationship Between Light Intensity and Degradation Rate for Weathering Durability\",
\"Authors\": \"Henry K. Hardcastle\",
\"KeyWords\": \"Durability, EMMA, Degradation Rate\",
\"Material\": \"Polycarbonate\",
\"Degradation\": \"Yellowness index\",
\"EquationType\": \"Arrhenius\",
\"Equation\": \"R_D=R_0\\\\cdot G_{340}^P\\\\cdot e^{ \\\\left( \\\\frac{-E_a}{R\\\\cdot T_K } \\\\right) }\",
\"R_D\": {
\"units\": \"YI/s\"
},
\"p\": {
\"value\": 0.89
},
\"E_a\": {
\"units\": \"kJ/mol\"
}
}
D032:
    {
\"DataEntryPerson\": \"Weston Wall\",
\"DateEntered\": \"6/16/2023\",
\"DOI\": \"10.4229/EUPVSEC20142014-5CO.5.4\",
\"SourceTitle\": \"PV AGING MODEL APPLIED TO SEVERAL METEOROLOGICAL CONDITIONS\",
\"Authors\": \"Beno\\u00c3\\u00aet Braisaz1 , Chlo\\u00c3\\u00a9 Duchayne, Mike Van Iseghem, Khalid Radouane\",
\"Reference\": \"Braisaz, B., et al. (2014). PV aging model applied to several meteorological conditions.\",
\"KeyWords\": \"Aging, Damp heat, Outdoor, PV modeling, Models, PV module, degradation rate, Activation Energy, PID, cracks, UV\",
\"Material\": \"Double Diode module\",
\"Degradation\": \"Damp Heat Corrosion Model\",
\"EquationType\": \"arrhenius\",
\"Equation\": \"R_D=R_0\\\\cdot RH^n\\\\cdot e^{ \\\\left( \\\\frac{-E_a}{R\\\\cdot T_K } \\\\right) }\",
\"R_D\": {},
\"R_0\": {},
\"n\": {
\"value\": 2
},
\"E_a\": {
\"value\": 127.3689,
\"units\": \"kJ/mol\"
}
}
D033:
    {
\"DataEntryPerson\": \"Weston Wall\",
\"DateEntered\": \"6/8/2023\",
\"DOI\": \"doi:10.1016/j.solmat.2017.08.007\",
\"SourceTitle\": \"Light-induced lifetime degradation in high-performance multicrystalline silicon: Detailed kinetics of the defect activation\",
\"Authors\": \"Dennis Bredemeier, Dominic Walter, Jan Schmidt\",
\"Reference\": \"D. Bredemeier et al., Sol. Energy Mater. Sol. Cells, vol. 173, pp. 2-5, 2017, doi: 10.1016/j.solmat.2017.08.007.\",
\"KeyWords\": \"multi-Si, LeTID, \",
\"Material\": \"multi-Si\",
\"Degradation\": \"LeTID\",
\"Comments\": \"ab158micronwafer_bc200microncell\",
\"EquationType\": \"LeTID\",
\"x_ab\": {
\"value\": 1
}
}
D034:
    {
\"DataEntryPerson\": \"Weston Wall\",
\"DateEntered\": \"6/9/2023\",
\"DOI\": \"doi:10.1109/JPHOTOV.2021.3078368\",
\"SourceTitle\": \"The Influence of Minority Carrier Density on Degradation and Regeneration Kinetics in Multicrystalline Silicon Wafers\",
\"Authors\": \"Guro Marie Wyller, Marie Syre Wiig, Ida Due-S\\u00c3\\u00b8rensen, Rune S\\u00c3\\u00b8nden\\u00c3\\u00a5\",
\"Reference\": \"G. Wyller et al., IEEE J. Photovoltaics, vol. 11, no. 4, pp. 878-889, 2021, doi: 10.1109/JPHOTOV.2021.3078367.\",
\"KeyWords\": \"p-type mc-Si Perc, Degradation, LeTID, Hydrogen Involvement\",
\"Material\": \"p-type mc-Si Perc\",
\"Degradation\": \"LeTID\",
\"Comments\": \"wafer_200micron\",
\"EquationType\": \"LeTID\",
\"x_bc\": {
\"value\": 1.2
}
}
D035:
    {
\"DataEntryPerson\": \"Weston Wall\",
\"DateEntered\": \"5/26/2023\",
\"DOI\": \"doi:10.1109/JPHOTOV.2020.3025240\",
\"SourceTitle\": \"Temporary Recovery of the Defect Responsible for Light- and Elevated Temperature-Induced Degradation: Insights Into the Physical Mechanisms Behind LeTID\",
\"Authors\": \"Wolfram Kwapil, Jonas Sch\\u00c3\\u00b6n, Tim Niewelt, and Martin C. Schubert\",
\"Reference\": \"W. Kwapil et al., IEEE J. Photovoltaics, vol. 10, no. 6, pp. 1591-1603, 2020, doi: 10.1109/JPHOTOV.2020.3025240.\",
\"KeyWords\": \"Degradation, Defect reactions, light- and elevated temperature-induced degradation, LeTID, model, silicon defects.\",
\"Material\": \"mc-Si cells\",
\"Degradation\": \"LeTID\",
\"Comments\": \"Cell_200Micron\",
\"EquationType\": \"LeTID\",
\"x_ba\": {
\"value\": 1.7
}
}
D036:
    {
\"DataEntryPerson\": \"Michael Kempe\",
\"DateEntered\": \"2/14/2025\",
\"DOI\": \"10.1109/PVSC45281.2020.9300357\",
\"SourceTitle\": \"Highly Accelerated UV Stress Testing for Transparent Flexible Frontsheets\",
\"Authors\": \"Michael D Kempe, Peter Hacke, Joshua Morse, Michael Owen-Bellini, Derek Holsapple, Trevor Lockman, Samantha Hoang, David Okawa, Tamir Lance, Hoi Hong Ng\",
\"Reference\": \"Kempe, M. D., et al. (2020). Highly Accelerated UV Stress Testing for Transparent Flexible Frontsheets. 2020 47th IEEE Photovoltaic Specialists Conference (PVSC).\",
\"KeyWords\": \"Humidity, Irradiance, reciprocity\",
\"Material\": \"Flexible Frontsheet, Frontsheet Coatings\",
\"Degradation\": \"UV Cut On, UV Transmittance 310nm-350nm, Yellowness index, SPQEWT\",
\"EquationType\": \"arrhenius\",
\"Equation\": \"R_D=R_0\\\\cdot RH^n\\\\cdot G_{340}^P\\\\cdot e^{ \\\\left( \\\\frac{-E_a}{R\\\\cdot T_K } \\\\right) }\",
\"R_D\": {
\"units\": \"%/h\"
},
\"R_0\": {
\"units\": \"%/h\"
},
\"E_a\": {
\"value\": 38.7,
\"stdev\": 21.7,
\"units\": \"kJ/mol\"
},
\"n\": {},
\"p\": {
\"value\": 0.49,
\"stdev\": 0.22
},
\"Corr-E_a-P\": {
\"value\": -0.606
}
}
" + "

JSON Output at fp: C:\\Users\\mkempe\\Documents\\GitHub\\new\\PVDegradationTools\\pvdeg\\data\\DegradationDatabase.json

D001:
    {
\"DataEntryPerson\": \"Michael Kempe\",
\"EquationType\": \"arrhenius\",
\"Equation\": \"R_D=R_0\\\\cdot e^{ \\\\left( \\\\frac{-E_a}{R\\\\cdot T_K } \\\\right) }\",
\"R_D\": {
\"units\": \"%/h\"
},
\"R_0\": {
\"units\": \"%/h\"
},
\"E_a\": {
\"units\": \"kJ/mol\"
}
}
D002:
    {
\"DataEntryPerson\": \"Weston Wall\",
\"SourceTitle\": \"Error Analyses and Associated Risk for Accelerated Weathering Results/2009 Presentation\",
\"Authors\": \"Richard M. Fischer, Warren D. Ketola\",
\"Reference\": \"R. M. Fischer and W. D. Ketola, 'Error Analyses and Associated Risk for Accelerated Weathering Results,' Third International Service Life Symposium, Sedona, AZ February 2004, 2004.\",
\"KeyWords\": \"Gloss, color shift, cracking, gloss loss, fluorescence loss, retroreflectance loss, adhesive transfer (clean removal), shrinkage, yellowing\",
\"Material\": \"Paints and Coatings\",
\"EquationType\": \"Vant_Hoff_TOW_Schwarzchild\",
\"Equation\": \"R_D=R_0\\\\cdot G^P \\\\left( \\\\frac{1}{b+m\\\\cdot TOW} \\\\right) \\\\cdot T_f^{ \\\\frac{T}{10}}\",
\"R_D\": {},
\"R_0\": {
\"units\": \"%/h\"
},
\"x\": {
\"value\": 0.64,
\"stdev\": 0.2
},
\"b\": {
\"value\": 1.07,
\"stdev\": 0.11
},
\"m\": {
\"value\": -2.8e-05,
\"stdev\": 4.88e-05
},
\"T_f\": {
\"value\": 1.41,
\"stdev\": 0.23
}
}
D003:
    {
\"DataEntryPerson\": \"Weston Wall\",
\"DOI\": \"10.1002/.pip1172\",
\"SourceTitle\": \"Life Prediction for CIGS Solar Modules\",
\"Authors\": \"D.J. Coyle, H.A. Blaydes, R.S. Northey, J.E. Pickett, K.R. Nagarkar, R.A. Zhao, and J.O. Gardner\",
\"Reference\": \"Coyle, D. J., et al. (2011). 'Life prediction for CIGS solar modules part 2: degradation kinetics, accelerated testing, and encapsulant effects.' Progress in Photovoltaics: Research and Applications.\",
\"KeyWords\": \"Temperature, humidity, CIGS, Moisture ingress, thin film\",
\"Material\": \"CIGS\",
\"Degradation\": \"CIGS_Efficiency, ITO_ECA0\",
\"EquationType\": \"Arrhenius_BET4\",
\"Equation\": \"R_D=R_0\\\\cdot e^{ \\\\left( \\\\frac{-E_a}{R\\\\cdot T_K } \\\\right) } \\\\cdot \\\\left( \\\\frac{RH}{1-RH+E} \\\\right)\",
\"R_D\": {
\"units\": \"%/h\"
},
\"R_0\": {
\"value\": 845000000,
\"units\": \"%/h\"
},
\"E_a\": {
\"value\": 33.472,
\"units\": \"kJ/mol\"
},
\"E\": {
\"value\": 0.04
}
}
D004:
    {
\"DataEntryPerson\": \"Weston Wall\",
\"DOI\": \"10.1002/.pip1173\",
\"SourceTitle\": \"Life Prediction for CIGS Solar Modules\",
\"Authors\": \"D.J. Coyle, H.A. Blaydes, R.S. Northey, J.E. Pickett, K.R. Nagarkar, R.A. Zhao, and J.O. Gardner\",
\"Reference\": \"Coyle, D. J., et al. (2011). 'Life prediction for CIGS solar modules part 2: degradation kinetics, accelerated testing, and encapsulant effects.' Progress in Photovoltaics: Research and Applications.\",
\"KeyWords\": \"Temperature, humidity, CIGS, Moisture ingress, thin film\",
\"Material\": \"CIGS\",
\"Degradation\": \"CIGS_Efficiency, ITO_ECA1\",
\"EquationType\": \"Arrhenius_BET5\",
\"Equation\": \"R_D=R_0\\\\cdot e^{ \\\\left( \\\\frac{-E_a}{R\\\\cdot T_K } \\\\right) } \\\\cdot \\\\left( \\\\frac{RH}{1-RH+E} \\\\right)\",
\"R_D\": {
\"units\": \"%/h\"
},
\"R_0\": {
\"value\": 73000000000000,
\"units\": \"%/h\"
},
\"E_a\": {
\"value\": 67.3624,
\"units\": \"kJ/mol\"
},
\"E\": {
\"value\": 0.04
}
}
D005:
    {
\"DataEntryPerson\": \"Weston Wall\",
\"DOI\": \"10.1002/.pip1174\",
\"SourceTitle\": \"Life Prediction for CIGS Solar Modules\",
\"Authors\": \"D.J. Coyle, H.A. Blaydes, R.S. Northey, J.E. Pickett, K.R. Nagarkar, R.A. Zhao, and J.O. Gardner\",
\"Reference\": \"Coyle, D. J., et al. (2011). 'Life prediction for CIGS solar modules part 2: degradation kinetics, accelerated testing, and encapsulant effects.' Progress in Photovoltaics: Research and Applications.\",
\"KeyWords\": \"Temperature, humidity, CIGS, Moisture ingress, thin film\",
\"Material\": \"CIGS\",
\"Degradation\": \"CIGS_Efficiency, AZO\",
\"EquationType\": \"Arrhenius_BET6\",
\"Equation\": \"R_D=R_0\\\\cdot e^{ \\\\left( \\\\frac{-E_a}{R\\\\cdot T_K } \\\\right) } \\\\cdot \\\\left( \\\\frac{RH}{1-RH+E} \\\\right)\",
\"R_D\": {
\"units\": \"%/h\"
},
\"R_0\": {
\"value\": 1.1e+17,
\"units\": \"%/h\"
},
\"E_a\": {
\"value\": 78.6592,
\"units\": \"kJ/mol\"
},
\"E\": {
\"value\": 0.04
}
}
D006:
    {
\"DataEntryPerson\": \"Weston Wall\",
\"DOI\": \"10.1109/PVSC45281.2020.9300357\",
\"SourceTitle\": \"Highly Accelerated UV Stress Testing for Transparent Flexible Frontsheets\",
\"Authors\": \"Michael D Kempe, Peter Hacke, Joshua Morse, Michael Owen-Bellini, Derek Holsapple, Trevor Lockman, Samantha Hoang, David Okawa, Tamir Lance, Hoi Hong Ng\",
\"Reference\": \"Kempe, M. D., et al. (2020). Highly Accelerated UV Stress Testing for Transparent Flexible Frontsheets. 2020 47th IEEE Photovoltaic Specialists Conference (PVSC).\",
\"KeyWords\": \"humidity, irradiance, frontsheet, UV cut-on\",
\"Material\": \"Flexible Frontsheet, Frontsheet Coatings\",
\"Degradation\": \"UV Cut On\",
\"EquationType\": \"arrhenius\",
\"Equation\": \"R_D=R_0\\\\cdot RH^n\\\\cdot G_{340}^P\\\\cdot e^{ \\\\left( \\\\frac{-E_a}{R\\\\cdot T_K } \\\\right) }\",
\"R_D\": {
\"units\": \"%/h\"
},
\"R_0\": {
\"units\": \"%/h\"
},
\"E_a\": {
\"value\": 35.3,
\"stdev\": 8.9,
\"units\": \"kJ/mol\"
},
\"n\": {},
\"p\": {
\"value\": 0.37,
\"stdev\": 0.26
}
}
D007:
    {
\"DataEntryPerson\": \"Weston Wall\",
\"DOI\": \"10.1109/PVSC45281.2020.9300357\",
\"SourceTitle\": \"Highly Accelerated UV Stress Testing for Transparent Flexible Frontsheets\",
\"Authors\": \"Michael D Kempe, Peter Hacke, Joshua Morse, Michael Owen-Bellini, Derek Holsapple, Trevor Lockman, Samantha Hoang, David Okawa, Tamir Lance, Hoi Hong Ng\",
\"Reference\": \"Kempe, M. D., et al. (2020). Highly Accelerated UV Stress Testing for Transparent Flexible Frontsheets. 2020 47th IEEE Photovoltaic Specialists Conference (PVSC).\",
\"KeyWords\": \"humidity, irradiance, frontsheet, ultraviolet, transmittance\",
\"Material\": \"Flexible Frontsheet, Frontsheet Coatings\",
\"Degradation\": \"UV Transmittance 310nm-350nm\",
\"EquationType\": \"arrhenius\",
\"Equation\": \"R_D=R_0\\\\cdot RH^n\\\\cdot G_{340}^P\\\\cdot e^{ \\\\left( \\\\frac{-E_a}{R\\\\cdot T_K } \\\\right) }\",
\"R_D\": {
\"units\": \"%/h\"
},
\"R_0\": {
\"units\": \"%/h\"
},
\"E_a\": {
\"value\": 53.2,
\"stdev\": 16.6,
\"units\": \"kJ/mol\"
},
\"n\": {},
\"p\": {
\"value\": 0.45,
\"stdev\": 0.24
}
}
D008:
    {
\"DataEntryPerson\": \"Weston Wall\",
\"DOI\": \"10.1109/PVSC45281.2020.9300357\",
\"SourceTitle\": \"Highly Accelerated UV Stress Testing for Transparent Flexible Frontsheets\",
\"Authors\": \"Michael D Kempe, Peter Hacke, Joshua Morse, Michael Owen-Bellini, Derek Holsapple, Trevor Lockman, Samantha Hoang, David Okawa, Tamir Lance, Hoi Hong Ng\",
\"Reference\": \"Kempe, M. D., et al. (2020). Highly Accelerated UV Stress Testing for Transparent Flexible Frontsheets. 2020 47th IEEE Photovoltaic Specialists Conference (PVSC).\",
\"KeyWords\": \"humidity, irradiance, yellowness, yellowness index\",
\"Material\": \"Flexible Frontsheet, Frontsheet Coatings\",
\"Degradation\": \"yellowness_index\",
\"EquationType\": \"arrhenius\",
\"Equation\": \"R_D=R_0\\\\cdot RH^n\\\\cdot G_{340}^P\\\\cdot e^{ \\\\left( \\\\frac{-E_a}{R\\\\cdot T_K } \\\\right) }\",
\"R_D\": {
\"units\": \"%/h\"
},
\"R_0\": {
\"units\": \"%/h\"
},
\"E_a\": {
\"value\": 40.4,
\"stdev\": 22.5,
\"units\": \"kJ/mol\"
},
\"n\": {},
\"p\": {
\"value\": 0.5,
\"stdev\": 0.25
}
}
D009:
    {
\"DataEntryPerson\": \"Weston Wall\",
\"DOI\": \"10.1109/PVSC45281.2020.9300357\",
\"SourceTitle\": \"Highly Accelerated UV Stress Testing for Transparent Flexible Frontsheets\",
\"Authors\": \"Michael D Kempe, Peter Hacke, Joshua Morse, Michael Owen-Bellini, Derek Holsapple, Trevor Lockman, Samantha Hoang, David Okawa, Tamir Lance, Hoi Hong Ng\",
\"Reference\": \"Kempe, M. D., et al. (2020). Highly Accelerated UV Stress Testing for Transparent Flexible Frontsheets. 2020 47th IEEE Photovoltaic Specialists Conference (PVSC).\",
\"KeyWords\": \"humidity, irradiance, frontsheet, transmittance\",
\"Material\": \"Flexible Frontsheet, Frontsheet Coatings\",
\"Degradation\": \"SPQEWT\",
\"EquationType\": \"arrhenius\",
\"Equation\": \"R_D=R_0\\\\cdot RH^n\\\\cdot G_{340}^P\\\\cdot e^{ \\\\left( \\\\frac{-E_a}{R\\\\cdot T_K } \\\\right) }\",
\"R_D\": {
\"units\": \"%/h\"
},
\"R_0\": {
\"units\": \"%/h\"
},
\"E_a\": {
\"value\": 30.7,
\"stdev\": 23.5,
\"units\": \"kJ/mol\"
},
\"n\": {},
\"p\": {
\"value\": 0.53,
\"stdev\": 0.22
}
}
D010:
    {
\"DataEntryPerson\": \"Jada Swailes\",
\"DateEntered\": \"3/21/2023\",
\"DOI\": \"10.1016/j.polymdegradstab.2013.04.001\",
\"SourceTitle\": \"Pickett Coyle Hydrolysis Kinetics of condensation polymers under humidity aging conditions.pdf\",
\"Authors\": \"James E. Pickett, Dennis J. Coyle\",
\"KeyWords\": \"PC, humidity, hydrothermal, polycarbonate, polyarylate, aryl ester, aromatic polyester, hydrolysis\",
\"Material\": \"Bisphenol-A polycarbonate (PC)\",
\"Degradation\": \"Hydrolysis\",
\"Comments\": \"RH is a fraction between 0 and 1. Data from Table 5. The paper provided variability for a 95% confidence interval which was divided by 2 to get the standard deviation.\",
\"EquationType\": \"arrhenius\",
\"Equation\": \"t_{fail}=R_0\\\\cdot \\\\frac {e^{ \\\\left( \\\\frac{E_a}{R\\\\cdot T_K } \\\\right) }}{RH^2}\",
\"t_fail\": {
\"units\": \"days\"
},
\"R_0\": {
\"value\": 65200000000.0,
\"units\": \"days\"
},
\"ln(R_0)\": {
\"value\": 24.9,
\"stdev\": 1.6,
\"units\": \"ln(days)\"
},
\"E_a\": {
\"value\": 92,
\"stdev\": 4.8,
\"units\": \"kJ/mol\"
},
\"n\": {
\"value\": 2,
\"stdev\": 0,
\"units\": \"NA\"
}
}
D011:
    {
\"DataEntryPerson\": \"Jada Swailes\",
\"DateEntered\": \"3/21/2023\",
\"DOI\": \"10.1016/j.polymdegradstab.2013.04.001\",
\"SourceTitle\": \"Pickett Coyle Hydrolysis Kinetics of condensation polymers under humidity aging conditions.pdf\",
\"Authors\": \"James E. Pickett, Dennis J. Coyle\",
\"KeyWords\": \"PET, humidity, hydrothermal, polyester, PET, polyarylate, aryl ester, aromatic polyester, hydrolysis, poly(ethylene terephthalate)\",
\"Material\": \"poly(ethylene terephthalate), Average of three materials, PET-A,B,C\",
\"Degradation\": \"Hydrolysis\",
\"Comments\": \"RH is a fraction between 0 and 1. Data from Table 5. The paper provided variability for a 95% confidence interval which was divided by 2 to get the standard deviation.\",
\"EquationType\": \"arrhenius\",
\"Equation\": \"t_{fail}=R_0\\\\cdot \\\\frac {e^{ \\\\left( \\\\frac{E_a}{R\\\\cdot T_K } \\\\right) }}{RH^2}\",
\"t_fail\": {
\"units\": \"days\"
},
\"R_0\": {
\"value\": 1.689e+17,
\"units\": \"days\"
},
\"ln(R_0)\": {
\"value\": 39.3,
\"stdev\": 1.1,
\"units\": \"ln(days)\"
},
\"E_a\": {
\"value\": 129,
\"stdev\": 3.35,
\"units\": \"kJ/mol\"
},
\"n\": {
\"value\": 2,
\"stdev\": 0,
\"units\": \"NA\"
}
}
D012:
    {
\"DataEntryPerson\": \"Jada Swailes\",
\"DateEntered\": \"3/21/2023\",
\"DOI\": \"10.1016/j.polymdegradstab.2013.04.001\",
\"SourceTitle\": \"Pickett Coyle Hydrolysis Kinetics of condensation polymers under humidity aging conditions.pdf\",
\"Authors\": \"James E. Pickett, Dennis J. Coyle\",
\"KeyWords\": \"PET, humidity, hydrothermal, polyester, pET, aryl ester, aromatic polyester, hydrolysis, poly(ethylene terephthalate)\",
\"Material\": \"poly(ethylene terephthalate), PET-D\",
\"Degradation\": \"Hydrolysis\",
\"Comments\": \"RH is a fraction between 0 and 1. Data from Table 5. The paper provided variability for a 95% confidence interval which was divided by 2 to get the standard deviation. This is the time to failure for the PET-D material.\",
\"EquationType\": \"arrhenius\",
\"Equation\": \"t_{fail}=R_0\\\\cdot \\\\frac {e^{ \\\\left( \\\\frac{E_a}{R\\\\cdot T_K } \\\\right) }}{RH^2}\",
\"t_fail\": {
\"units\": \"days\"
},
\"R_0\": {
\"value\": 7.835e+16,
\"units\": \"days\"
},
\"ln(R_0)\": {
\"value\": 38.9,
\"stdev\": 1,
\"units\": \"ln(days)\"
},
\"E_a\": {
\"value\": 128,
\"stdev\": 2.95,
\"units\": \"kJ/mol\"
},
\"n\": {
\"value\": 2,
\"stdev\": 0,
\"units\": \"NA\"
}
}
D013:
    {
\"DataEntryPerson\": \"Jada Swailes\",
\"DateEntered\": \"3/21/2023\",
\"DOI\": \"10.1016/j.polymdegradstab.2013.04.001\",
\"SourceTitle\": \"Pickett Coyle Hydrolysis Kinetics of condensation polymers under humidity aging conditions.pdf\",
\"Authors\": \"James E. Pickett, Dennis J. Coyle\",
\"KeyWords\": \"RPA, resorcinol polyarylate, humidity, hydrothermal, polyester, polyarylate, aryl ester, aromatic polyester, hydrolysis\",
\"Material\": \"resorcinol polyarylate (RPA-A)\",
\"Degradation\": \"Hydrolysis\",
\"Comments\": \"RH is a fraction between 0 and 1. Data from Table 5. The paper provided variability for a 95% confidence interval which was divided by 2 to get the standard deviation.\",
\"EquationType\": \"arrhenius\",
\"Equation\": \"t_{fail}=R_0\\\\cdot \\\\frac {e^{ \\\\left( \\\\frac{E_a}{R\\\\cdot T_K } \\\\right) }}{RH^2}\",
\"t_fail\": {
\"units\": \"days\"
},
\"R_0\": {
\"value\": 64649000000000.0,
\"units\": \"days\"
},
\"ln(R_0)\": {
\"value\": 31.8,
\"stdev\": 1.85,
\"units\": \"ln(days)\"
},
\"E_a\": {
\"value\": 105,
\"stdev\": 5.45,
\"units\": \"kJ/mol\"
},
\"n\": {
\"value\": 2,
\"stdev\": 0,
\"units\": \"NA\"
}
}
D014:
    {
\"DataEntryPerson\": \"Jada Swailes\",
\"DateEntered\": \"3/21/2023\",
\"DOI\": \"10.1016/j.polymdegradstab.2013.04.001\",
\"SourceTitle\": \"Pickett Coyle Hydrolysis Kinetics of condensation polymers under humidity aging conditions.pdf\",
\"Authors\": \"James E. Pickett, Dennis J. Coyle\",
\"KeyWords\": \"Humidity, hydrothermal, polyester, polyarylate, aryl ester, aromatic polyester, resorcinol polyarylate, hydrolysis\",
\"Material\": \"RPA-B,C\",
\"Degradation\": \"Hydrolysis\",
\"Comments\": \"RH is a fraction between 0 and 1. Data from Table 5. The paper provided variability for a 95% confidence interval which was divided by 2 to get the standard deviation.\",
\"EquationType\": \"arrhenius\",
\"Equation\": \"t_{fail}=R_0\\\\cdot \\\\frac {e^{ \\\\left( \\\\frac{E_a}{R\\\\cdot T_K } \\\\right) }}{RH^2}\",
\"t_fail\": {
\"units\": \"days\"
},
\"ln(R_0)\": {
\"value\": 30,
\"stdev\": 2,
\"units\": \"ln(days)\"
},
\"R_0\": {
\"value\": 1.98626e+49,
\"units\": \"days\"
},
\"E_a\": {
\"value\": 102,
\"stdev\": 6.05,
\"units\": \"kJ/mol\"
},
\"n\": {
\"value\": 2,
\"stdev\": 0,
\"units\": \"NA\"
}
}
D015:
    {
\"DataEntryPerson\": \"Weston Wall\",
\"DateEntered\": \"3/27/2023\",
\"DOI\": \"10.1021/jacs.2c00391\",
\"SourceTitle\": \"Water-Accelerated Photo-oxidation of CH3NH3PbI3 Perovskite: Mechanism, rate orders, and rate constants\",
\"Authors\": \"Timothy D. Siegler, Wiley A. Dunlap-Shohl, Yuhuan Meng, Wylie F. Kau, Preetham P. Sunkari, Chang En Tsai, Zachary J. Armstrong, Yu-chia Chen, David A. C. Beck, Marina Meila, Hugh W. Hillhouse\",
\"Reference\": \"Journal of the American Chemical Society 2022 144 (12), 5552-5561\",
\"KeyWords\": \"Dry Photooxidation, Water Photooxidiation\",
\"Material\": \"Halide Perovskite (MAPbI3)\",
\"Degradation\": \"Optical Transmittance In-Situ measurement\",
\"Comments\": \"LED Light at 550nm\",
\"EquationType\": \"Perovskite_1\",
\"Equation\": \"R_D=R_{0,WPO}\\\\cdot e^{ \\\\left( \\\\frac{-E_{a,WPO}}{R\\\\cdot T_K } \\\\right) } \\\\cdot \\\\left< \\\\frac{P_{O_2}\\\\cdot P_{H_2 O}\\\\cdot G_{550}^{0.7} }{ \\\\left[ 1+K_{2W}\\\\cdot P_{O_2} \\\\left(1+K_{3W}\\\\cdot G_{550}^{0.7} \\\\right) \\\\right]^2} \\\\right> +R_{0,DPO}\\\\cdot e^ {\\\\left( \\\\frac{-E_{a,DPO}}{R\\\\cdot T_K} \\\\right) } \\\\cdot \\\\frac{P_{O_2} \\\\cdot G_{550}^{0.7} }{1+K_{2D}\\\\cdot P_{O_2} \\\\cdot \\\\left( 1+K_3D\\\\cdot G_{550}^{0.7} \\\\right)} +R_{0,hum}\\\\cdot e^ { \\\\left( \\\\frac {-E_a^{hum}}{R\\\\cdot T_K } \\\\right) } \\\\cdot P_{H_2 O}\\\\cdot G_{550}^{0.7}+R_{0,therm}\\\\cdot e^{ \\\\left( \\\\frac{-E_a^{therm}}{R\\\\cdot T_K } \\\\right) }\",
\"R_D\": {
\"units\": \"mol/(m^2\\u00b7s)\"
},
\"R_0,WPO\": {
\"value\": 3.16e-25,
\"units\": \"mol/(m^2\\u00b7s\\u00b7kpa^2 )\\u00b7(photons/(m^2\\u00b7s))^(-0.7)\"
},
\"E_a,WPO\": {
\"value\": -8.6827,
\"units\": \"kJ/mol\"
},
\"K_2W\": {
\"value\": 0.0044,
\"units\": \"1/kPa\"
},
\"K_3W\": {
\"value\": 4.32e-15,
\"units\": \"(photons/(m^2\\u00b7s))^(-0.7)\"
},
\"R_0,DPO\": {
\"value\": 5.45e-15,
\"units\": \"mol/(m^2\\u00b7s\\u00b7kpa )\\u00b7(photons/(m^2\\u00b7s))^(-0.7)\"
},
\"E_a,DPO\": {
\"value\": 59.82,
\"units\": \"kJ/mol\"
},
\"K_2D\": {
\"value\": 0.00328,
\"units\": \"1/kPa\"
},
\"K_3D\": {
\"value\": 6.97e-15,
\"units\": \"(photons/(m^2\\u00b7s))^(-0.7)\"
},
\"R_0,hum\": {
\"value\": 9.2e-22,
\"units\": \"mol/(m^2\\u00b7s\\u00b7kpa)\\u00b7(photons/(m^2\\u00b7s))^(-0.7)\"
},
\"E_a^hum\": {
\"value\": 19.3,
\"units\": \"kJ/mol\"
},
\"E_a^therm\": {
\"value\": 43.42,
\"units\": \"kJ/mol\"
},
\"R_0,therm\": {
\"value\": 0.00041,
\"units\": \"mol/(m^2\\u00b7s)\"
}
}
D016:
    {
\"DataEntryPerson\": \"Weston Wall\",
\"DateEntered\": \"4/7/2023\",
\"DOI\": \"10.1002/pip.2908\",
\"SourceTitle\": \"Evaluation and modeling of the potential effects of a module manufacturing anomaly\",
\"Authors\": \"Michael D Kempe, Dirk C Jordan\",
\"Reference\": \"Kempe MD, Jordan DC. Evaluation and modeling of the potential effects of a module manufacturing anomaly. Prog Photovolt Res Appl. 2017. https://doi.org/10.1002/pip.2908\",
\"KeyWords\": \"Damp Heat, Durability, Kinetics, Manufacturing Quality, Reliability, Solder Flux, Metallization contact resistance\",
\"Material\": \"multi-crystalline Silicon\",
\"Degradation\": \"Fill Factor\",
\"Comments\": \"Degradation of metallization contact to the cell due to flux\",
\"EquationType\": \"FF_Arrhenius\",
\"Equation\": \"FF_t=FF_0\\\\cdot \\\\left( 1- \\\\frac{A_i}{A_o} \\\\cdot \\\\left< 1-e^{\\\\left[ -e^{\\\\left( B_1- \\\\frac{B_2}{R\\\\cdot T_K }-B_3\\\\cdot RH \\\\right) \\\\cdot t } \\\\right] } \\\\right> \\\\right)\",
\"FF\": {
\"units\": \"%\"
},
\"B_1\": {
\"value\": 14.7,
\"stdev\": 4.4
},
\"B_2\": {
\"value\": 76.22,
\"stdev\": 0.135,
\"units\": \"kJ/mol\"
},
\"B_3\": {
\"value\": -0.005,
\"stdev\": 0.012,
\"units\": \"1/%\"
},
\"A\": {
\"value\": 0.073,
\"stdev\": 0.02
},
\"Corr-B_1-B_2\": 0.985,
\"Corr-B_1-B_3\": 0.216,
\"Corr-B_2-B_3\": 0.0452
}
D017:
    {
\"DataEntryPerson\": \"Weston Wall\",
\"DateEntered\": \"4/17/2023\",
\"SourceTitle\": \"PV CONNECTORS, BOTTLENECK OF 40 YEARS LIFETIME MODULES?\",
\"Authors\": \"Xuanji Yu , Ben Huang, Ruirui Lv, Jean-Nicolas Jaubert , Tao Xu, Guangchun Zhang\",
\"KeyWords\": \"Connectors, Polymer sealing failure, metal pin corrosion, 40 year reliability\",
\"Material\": \"Connectors\",
\"Degradation\": \"Wet insulation resistance < 400Mohm\",
\"EquationType\": \"Arrhenius_Connector\",
\"Equation\": \"R_D=R_{0,T} \\\\cdot e^ {\\\\left( \\\\frac {-E_{a,T}}{R\\\\cdot T_K } \\\\right)}+R_{0,H}\\\\cdot RH^n\\\\cdot e^{ \\\\left( \\\\frac{-E_{a,H}}{R\\\\cdot T_K } \\\\right) }+R_{0,P}\\\\cdot G^P\\\\cdot e^{ \\\\left( \\\\frac {-E_{a,P}}{R\\\\cdot T_K } \\\\right) }\",
\"R_D\": {},
\"R_0,T\": {},
\"E_a,T\": {},
\"R_0,H\": {},
\"n\": {},
\"E_a,H\": {},
\"R_0,P\": {},
\"p\": {},
\"E_a,P\": {}
}
D018:
    {
\"DataEntryPerson\": \"Jada Swailes\",
\"DateEntered\": \"4/14/2023\",
\"DOI\": \"10.1016/j.solmat.2011.02.013\",
\"SourceTitle\": \"An Arrhenius approach to estimating organic photovoltaic module weathering acceleration factors\",
\"Authors\": \"Olivier Haillant, David Dumbleton, Allen Zielnik\"
}
D019:
    {
\"DataEntryPerson\": \"Weston Wall\",
\"DateEntered\": \"4/27/2023\",
\"DOI\": \"10.1109/JPHOTOV.2018.2850527\",
\"SourceTitle\": \"Quantification of Environmental Effects on PV Module Degradation: A Physics-Based Data Driven Modeling Method\",
\"Authors\": \"Arun Bala Subramaniyan, Rong Pan, Joseph Kuitche, GovindaSamy TamizhMani\",
\"Reference\": \"A. Bala Subramaniyan, R. Pan, J. Kuitche and G. TamizhMani, 'Quantification of Environmental Effects on PV Module Degradation: A Physics-Based Data-Driven Modeling Method,' in IEEE Journal of Photovoltaics, vol. 8, no. 5, pp. 1289-1296, Sept. 2018, doi: 10.1109/JPHOTOV.2018.2850527.\",
\"KeyWords\": \"Outdoor, mono-crystalline Silicon, effeciency, Cumulative effects model\",
\"Material\": \"mono-Crystalline Silicon\",
\"Degradation\": \"Overall power generated\",
\"Comments\": \"Uncertainties given using 95% confidence interval\",
\"EquationType\": \"Arrhenius_Coffin_Manson_Peck\",
\"Equation\": \"R_D=B_0\\\\cdot e^{\\\\left( \\\\frac{-B_1}{R\\\\cdot T_K}\\\\right)}\\\\cdot \\u0394T^{B_2} \\\\cdot UV_{Daily}^{B_3}\\\\cdot {RH_{Daily}}^{B_4}\",
\"R_D\": {
\"units\": \"%/year\"
},
\"R_0\": {
\"value\": 0.35,
\"stdev\": 0.037,
\"units\": \"1/sec\"
},
\"E_a\": {
\"value\": 67.5,
\"stdev\": 7.25,
\"units\": \"kJ/mol\"
},
\"m\": {
\"value\": 2.41,
\"stdev\": 0.03
},
\"p\": {
\"value\": 0.75,
\"stdev\": 0.04375
},
\"n\": {
\"value\": 1.52,
\"stdev\": 0.063
}
}
D020:
    {
\"DataEntryPerson\": \"Weston Wall\",
\"DOI\": \"10.1109/PVSC45281.2020.9300638\",
\"SourceTitle\": \"Failure modes of polyolefin encapsulated double glass modules and corresponding degradation modeling: Part 1 optical durability\",
\"Authors\": \"Ben X. J. Yu, Ruirui Lv, Jean-Nicolas Jaubert, Guoqiang Xing, Julien Dupuis, Eric Sandre, Christophe Dugue, Gilles Goaer\",
\"Reference\": \"B. X. J. Yu et al., 'Failure modes of polyolefin encapsulated double glass modules and corresponding degradation modeling: Part 1 optical durability,' 2020 47th IEEE Photovoltaic Specialists Conference (PVSC), Calgary, AB, Canada, 2020, pp. 1002-1007, doi: 10.1109/PVSC45281.2020.9300638.\",
\"KeyWords\": \"Bifacial, Encapsulants, Delamination, Yellowing, Sevice Life predication\",
\"Material\": \"Encapsulents, (POE, TPO, EVA)\"
}
D021:
    {
\"DataEntryPerson\": \"Weston Wall\",
\"DateEntered\": \"5/15/2023\",
\"DOI\": \"10.1109/PVSC.2018.8547944\",
\"SourceTitle\": \"Acceleration Factor Modeling for Degradation Rate Prediction of Photovoltaic Encapsulant Discoloration\",
\"Authors\": \"Archana Sinha, Shantanu Pore, Arun Balasubramaniyan, GovindaSamy TamizhMani\",
\"Reference\": \"A. Sinha, S. Pore, A. Balasubramaniyan and G. TamizhMani, 'Acceleration Factor Modeling for Degradation Rate Prediction of Photovoltaic Encapsulant Discoloration,' 2018 IEEE 7th World Conference on Photovoltaic Energy Conversion (WCPEC) (A Joint Conference of 45th IEEE PVSC, 28th PVSEC & 34th EU PVSEC), Waikoloa, HI, USA, 2018, pp. 1342-1346, doi: 10.1109/PVSC.2018.8547944.\",
\"KeyWords\": \"Acceleration Factor, Arrhenius, degradation rate, encapsulant discoloration, Lifetime prediction\",
\"Material\": \"EVA Encapsulent, Si-cells\",
\"Degradation\": \"Encapsulent Discoloration, Isc loss\",
\"EquationType\": \"arrhenius\",
\"Equation\": \"R_D=R_0\\\\cdot G^p\\\\cdot e^{\\\\left( \\\\frac{E_a}{R\\\\cdot T_K} \\\\right)}\",
\"R_D\": {
\"value\": 0.1,
\"units\": \"%/year\"
},
\"E_a\": {
\"value\": 29.91,
\"units\": \"kJ/mol\"
},
\"p\": {},
\"R_0\": {}
}
D022:
    {
\"DataEntryPerson\": \"Weston Wall\",
\"DateEntered\": \"5/15/2023\",
\"DOI\": \"10.1002/apmc.1994.052160108\",
\"SourceTitle\": \"The kinetics and mechanism of polyethylene photo-oxidation\",
\"Authors\": \"J. J. C. Cruz-Pinto, M. E. S. Carvalho, J. F. A. Ferreira\",
\"Reference\": \"Cruz Pinto, Jose Joaquim & Carvalho, M. & Ferreira, J.. (2003). The kinetics and mechanism of polyethylene photo-oxidation. Die Angewandte Makromolekulare Chemie. 216. 113 - 133. 10.1002/apmc.1994.052160108. \",
\"KeyWords\": \"Polyethylene, Photoxidation, Weathering, Mechanism, Kinetics\",
\"Material\": \"Polyethylene\",
\"Degradation\": \"Photoxidation\",
\"EquationType\": \"Arrhenius_G_DeltaT\",
\"Equation\": \"R_D=R_0\\\\cdot G\\\\cdot e^{\\\\left( \\\\frac{E_a}{R\\\\cdot T_K} \\\\right)}\\\\cdot \\u0394T\",
\"E_a\": {
\"value\": 58.24,
\"units\": \"kJ/mol\"
},
\"R_D\": {
\"units\": \"%/hour\"
},
\"R_0\": {}
}
D024:
    {
\"DataEntryPerson\": \"Weston Wall\",
\"DateEntered\": \"5/26/2023\",
\"DOI\": \"doi:10.1109/JPHOTOV.2020.3025240\",
\"SourceTitle\": \"Temporary Recovery of the Defect Responsible for Light- and Elevated Temperature-Induced Degradation: Insights Into the Physical Mechanisms Behind LeTID\",
\"Authors\": \"Wolfram Kwapil, Jonas Schon, Tim Niewelt, and Martin C. Schubert\",
\"Reference\": \"W. Kwapil et al., IEEE J. Photovoltaics, vol. 10, no. 6, pp. 1591-1603, 2020, doi: 10.1109/JPHOTOV.2020.3025240.\",
\"KeyWords\": \"Degradation, Defect reactions, light- and elevated temperature-induced degradation, LeTID, model, silicon defects.\",
\"Material\": \"mc-Si cells\",
\"Degradation\": \"LeTID\",
\"Comments\": \"Cell_200Micron\",
\"EquationType\": \"LeTID\",
\"v_ab\": {
\"value\": 33000000,
\"units\": \"(cm^3x)/s\"
},
\"v_ba\": {
\"value\": 4.7e-25,
\"units\": \"(cm^3x)/s\"
},
\"v_bc\": {
\"value\": 13100000,
\"units\": \"(cm^3x)/s\"
},
\"v_cb\": {
\"value\": 0,
\"units\": \"(cm^3x)/s\"
},
\"E_(a, ab)\": {
\"value\": 78.7895,
\"units\": \"kJ/mol\"
},
\"E_(a, ba)\": {
\"value\": -110.9653,
\"units\": \"kJ/mol\"
},
\"E_(a, bc)\": {
\"value\": 84.0442,
\"units\": \"kJ/mol\"
},
\"E_(a, cb)\": {
\"value\": 0,
\"units\": \"kJ/mol\"
},
\"x_ab\": {
\"value\": 1
},
\"x_ba\": {
\"value\": 1.7
},
\"x_bc\": {
\"value\": 1.2
}
}
D025:
    {
\"DataEntryPerson\": \"Weston Wall\",
\"DateEntered\": \"6/8/2023\",
\"DOI\": \"doi:10.1557/s43577-022-00438-8\",
\"SourceTitle\": \"Long-term impact of light- and elevated temperature-induced degradation on photovoltaic arrays\",
\"Authors\": \"I.L. Repins, D.C. Jordan, M.Woodhouse, M. Theristis, J.S. Stein, H.P. Seigneur, D.J. Colvin, J.F. Karas, A.N. McPherson, C. Deline\",
\"Reference\": \"I. Repins et al., MRS Bulletin, 2023. doi: 10.1557/s43577-022-00438-8.\",
\"KeyWords\": \"LeTID, Indoor, Outdoor\",
\"Material\": \"p-Si Cells\",
\"Degradation\": \"LeTID\",
\"Comments\": \"Cell_200Micron\",
\"EquationType\": \"LeTID\",
\"v_ab\": {
\"value\": 46700000,
\"units\": \"(cm^3x)/s\"
},
\"v_ba\": {
\"value\": 4.7e-25,
\"units\": \"(cm^3x)/s\"
},
\"v_bc\": {
\"value\": 19900000,
\"units\": \"(cm^3x)/s\"
},
\"v_cb\": {
\"value\": 0,
\"units\": \"(cm^3x)/s\"
},
\"E_(a, ab)\": {
\"value\": 78.7895,
\"units\": \"kJ/mol\"
},
\"E_(a, ba)\": {
\"value\": -110.9653,
\"units\": \"kJ/mol\"
},
\"E_(a, bc)\": {
\"value\": 84.0442,
\"units\": \"kJ/mol\"
},
\"E_(a, cb)\": {
\"value\": 0,
\"units\": \"kJ/mol\"
},
\"x_ab\": {
\"value\": 1
},
\"x_ba\": {
\"value\": 1.7
},
\"x_bc\": {
\"value\": 1.2
}
}
D026:
    {
\"DataEntryPerson\": \"Weston Wall\",
\"DateEntered\": \"6/8/2023\",
\"DOI\": \"doi:10.1016/j.solmat.2017.08.007\",
\"SourceTitle\": \"Light-induced lifetime degradation in high-performance multicrystalline silicon: Detailed kinetics of the defect activation\",
\"Authors\": \"Dennis Bredemeier, Dominic Walter, Jan Schmidt\",
\"Reference\": \"D. Bredemeier et al., Sol. Energy Mater. Sol. Cells, vol. 173, pp. 2-5, 2017, doi: 10.1016/j.solmat.2017.08.007.\",
\"KeyWords\": \"multi-Si, LeTID, \",
\"Material\": \"multi-Si\",
\"Degradation\": \"LeTID\",
\"Comments\": \"ab158micronwafer_bc200microncell\",
\"EquationType\": \"LeTID\",
\"v_ab\": {
\"value\": 937000000,
\"units\": \"(cm^3x)/s\"
},
\"v_ba\": {
\"value\": 0,
\"units\": \"(cm^3x)/s\"
},
\"v_bc\": {
\"value\": 21500000,
\"units\": \"(cm^3x)/s\"
},
\"v_cb\": {
\"value\": 0,
\"units\": \"(cm^3x)/s\"
},
\"E_(a, ab)\": {
\"value\": 85.8775,
\"units\": \"kJ/mol\"
},
\"E_(a, ba)\": {
\"value\": 0,
\"units\": \"kJ/mol\"
},
\"E_(a, bc)\": {
\"value\": 90.7021,
\"units\": \"kJ/mol\"
},
\"E_(a, cb)\": {
\"value\": 0,
\"units\": \"kJ/mol\"
},
\"x_ab\": {
\"value\": 1
},
\"x_ba\": {
\"value\": 1.7
},
\"x_bc\": {
\"value\": 1.2
}
}
D027:
    {
\"DataEntryPerson\": \"Weston Wall\",
\"DateEntered\": \"6/9/2023\",
\"DOI\": \"doi:10.1109/JPHOTOV.2021.3078367\",
\"SourceTitle\": \"The Influence of Minority Carrier Density on Degradation and Regeneration Kinetics in Multicrystalline Silicon Wafers\",
\"Authors\": \"Guro Marie Wyller, Marie Syre Wiig, Ida Due-Sorensen, Rune Sondena\",
\"Reference\": \"G. Wyller et al., IEEE J. Photovoltaics, vol. 11, no. 4, pp. 878-889, 2021, doi: 10.1109/JPHOTOV.2021.3078367.\",
\"KeyWords\": \"p-type mc-Si Perc, Degradation, LeTID, Hydrogen Involvement\",
\"Material\": \"p-type mc-Si Perc\",
\"Degradation\": \"LeTID\",
\"Comments\": \"wafer_180micron\",
\"EquationType\": \"LeTID\",
\"v_ab\": {
\"value\": 1900000000000,
\"units\": \"(cm^3x)/s\"
},
\"v_ba\": {
\"value\": 0,
\"units\": \"(cm^3x)/s\"
},
\"v_bc\": {
\"value\": 0.284,
\"units\": \"(cm^3x)/s\"
},
\"v_cb\": {
\"value\": 0,
\"units\": \"(cm^3x)/s\"
},
\"E_(a, ab)\": {
\"value\": 133.1584,
\"stdev\": 13.5088,
\"units\": \"kJ/mol\"
},
\"E_(a, ba)\": {
\"value\": 0,
\"units\": \"kJ/mol\"
},
\"E_(a, bc)\": {
\"value\": 54.0353,
\"stdev\": 11.579,
\"units\": \"kJ/mol\"
},
\"E_(a, cb)\": {
\"value\": 0,
\"units\": \"kJ/mol\"
},
\"x_ab\": {
\"value\": 1
},
\"x_ba\": {
\"value\": 1.7
},
\"x_bc\": {
\"value\": 1.2
}
}
D028:
    {
\"DataEntryPerson\": \"Weston Wall\",
\"DateEntered\": \"6/9/2023\",
\"DOI\": \"doi:10.1109/JPHOTOV.2021.3078368\",
\"SourceTitle\": \"The Influence of Minority Carrier Density on Degradation and Regeneration Kinetics in Multicrystalline Silicon Wafers\",
\"Authors\": \"Guro Marie Wyller, Marie Syre Wiig, Ida Due-Sorensen, Rune Sondena\",
\"Reference\": \"G. Wyller et al., IEEE J. Photovoltaics, vol. 11, no. 4, pp. 878-889, 2021, doi: 10.1109/JPHOTOV.2021.3078367.\",
\"KeyWords\": \"p-type mc-Si Perc, Degradation, LeTID, Hydrogen Involvement\",
\"Material\": \"p-type mc-Si Perc\",
\"Degradation\": \"LeTID\",
\"Comments\": \"wafer_200micron\",
\"EquationType\": \"LeTID\",
\"v_ab\": {
\"value\": 483000,
\"units\": \"(cm^3x)/s\"
},
\"v_ba\": {
\"value\": 0,
\"units\": \"(cm^3x)/s\"
},
\"v_bc\": {
\"value\": 0,
\"units\": \"(cm^3x)/s\"
},
\"v_cb\": {
\"value\": 0,
\"units\": \"(cm^3x)/s\"
},
\"E_(a, ab)\": {
\"value\": 64.0704,
\"units\": \"kJ/mol\"
},
\"E_(a, ba)\": {
\"value\": 0,
\"units\": \"kJ/mol\"
},
\"E_(a, bc)\": {
\"value\": 90.7986,
\"units\": \"kJ/mol\"
},
\"E_(a, cb)\": {
\"value\": 0,
\"units\": \"kJ/mol\"
},
\"x_ab\": {
\"value\": 1
},
\"x_ba\": {
\"value\": 1.7
},
\"x_bc\": {
\"value\": 1.2
}
}
D029:
    {
\"DataEntryPerson\": \"Weston Wall\",
\"DateEntered\": \"6/12/2023\",
\"DOI\": \"doi:10.1063/1.5123890\",
\"SourceTitle\": \"Determination of BO-LID and LeTID related activation energies in Cz-Si and FZ-Si using constant injection conditions\",
\"Authors\": \"Alexander Graf, Axel Herguth, Giso Hahn\",
\"Reference\": \"A. Graf, et al., AIP Conference Proceedings, vol. 2147, no. 1, p. 140003, 2019, doi: 10.1063/1.5123890.\",
\"KeyWords\": \"Si, Boron Doped, LeTID, Degradation\",
\"Material\": \"Si, CZ FZ grown\",
\"Degradation\": \"LeTID\",
\"Comments\": \"wafer_152micron\",
\"EquationType\": \"LeTID\",
\"v_ab\": {
\"value\": 483000,
\"units\": \"(cm^3x)/s\"
},
\"v_ba\": {
\"value\": 0,
\"units\": \"(cm^3x)/s\"
},
\"v_bc\": {
\"value\": 0,
\"units\": \"(cm^3x)/s\"
},
\"v_cb\": {
\"value\": 0,
\"units\": \"(cm^3x)/s\"
},
\"E_(a, ab)\": {
\"value\": 75.2364,
\"stdev\": 8.7,
\"units\": \"kJ/mol\"
},
\"E_(a, ba)\": {
\"value\": 0,
\"units\": \"kJ/mol\"
},
\"E_(a, bc)\": {
\"value\": 59.8248,
\"stdev\": 8.7,
\"units\": \"kJ/mol\"
},
\"E_(a, cb)\": {
\"value\": 0,
\"units\": \"kJ/mol\"
},
\"x_ab\": {
\"value\": 1
},
\"x_ba\": {
\"value\": 1.7
},
\"x_bc\": {
\"value\": 1.2
}
}
D030:
    {
\"DataEntryPerson\": \"Weston Wall\",
\"DateEntered\": \"6/15/2023\",
\"DOI\": \"10.1007/3-540-61218-1_6\",
\"SourceTitle\": \"Wavelength sensitivity in polymer photodegradation\",
\"Authors\": \"Anthony L Andrady\",
\"Reference\": \"Andrady, A.L. (1997). Wavelength sensitivity in polymer photodegradation. In: Polymer Analysis Polymer Physics. Advances in Polymer Science, vol 128. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-61218-1_6\",
\"KeyWords\": \"Photodegradation, Vinyl Chloride, Activation Spectrum, Action Spectrum\",
\"Material\": \"Naturally Occuring Polymers, Synthetic Polymers\",
\"Degradation\": \"Photodegradation\",
\"EquationType\": \"Activation Spectrum\",
\"Equation\": \"Activation Spectrum={E_L}\\\\cdot R_0\\\\cdot e^{\\\\left( -B_g\\\\cdot \\u03bb \\\\right)}\",
\"E_L\": {},
\"R_0\": {},
\"B_g\": {},
\"L\": {}
}
D031:
    {
\"DataEntryPerson\": \"Weston Wall\",
\"DateEntered\": \"6/16/2023\",
\"SourceTitle\": \"A Characterization of the Relationship Between Light Intensity and Degradation Rate for Weathering Durability\",
\"Authors\": \"Henry K. Hardcastle\",
\"KeyWords\": \"Durability, EMMA, Degradation Rate\",
\"Material\": \"Polycarbonate\",
\"Degradation\": \"Yellowness index\",
\"EquationType\": \"Arrhenius\",
\"Equation\": \"R_D=R_0\\\\cdot G_{340}^P\\\\cdot e^{ \\\\left( \\\\frac{-E_a}{R\\\\cdot T_K } \\\\right) }\",
\"R_D\": {
\"units\": \"YI/s\"
},
\"p\": {
\"value\": 0.89
},
\"E_a\": {
\"units\": \"kJ/mol\"
}
}
D032:
    {
\"DataEntryPerson\": \"Weston Wall\",
\"DateEntered\": \"6/16/2023\",
\"DOI\": \"10.4229/EUPVSEC20142014-5CO.5.4\",
\"SourceTitle\": \"PV AGING MODEL APPLIED TO SEVERAL METEOROLOGICAL CONDITIONS\",
\"Authors\": \"Beno\\u00eet Braisaz1 , Chlo\\u00e9 Duchayne, Mike Van Iseghem, Khalid Radouane\",
\"Reference\": \"Braisaz, B., et al. (2014). PV aging model applied to several meteorological conditions.\",
\"KeyWords\": \"Aging, Damp heat, Outdoor, PV modeling, Models, PV module, degradation rate, Activation Energy, PID, cracks, UV\",
\"Material\": \"Double Diode module\",
\"Degradation\": \"Damp Heat Corrosion Model\",
\"EquationType\": \"arrhenius\",
\"Equation\": \"R_D=R_0\\\\cdot RH^n\\\\cdot e^{ \\\\left( \\\\frac{-E_a}{R\\\\cdot T_K } \\\\right) }\",
\"R_D\": {},
\"R_0\": {},
\"n\": {
\"value\": 2
},
\"E_a\": {
\"value\": 127.3689,
\"units\": \"kJ/mol\"
}
}
D033:
    {
\"DataEntryPerson\": \"Weston Wall\",
\"DateEntered\": \"6/8/2023\",
\"DOI\": \"doi:10.1016/j.solmat.2017.08.007\",
\"SourceTitle\": \"Light-induced lifetime degradation in high-performance multicrystalline silicon: Detailed kinetics of the defect activation\",
\"Authors\": \"Dennis Bredemeier, Dominic Walter, Jan Schmidt\",
\"Reference\": \"D. Bredemeier et al., Sol. Energy Mater. Sol. Cells, vol. 173, pp. 2-5, 2017, doi: 10.1016/j.solmat.2017.08.007.\",
\"KeyWords\": \"multi-Si, LeTID, \",
\"Material\": \"multi-Si\",
\"Degradation\": \"LeTID\",
\"Comments\": \"ab158micronwafer_bc200microncell\",
\"EquationType\": \"LeTID\",
\"x_ab\": {
\"value\": 1
}
}
D034:
    {
\"DataEntryPerson\": \"Weston Wall\",
\"DateEntered\": \"6/9/2023\",
\"DOI\": \"doi:10.1109/JPHOTOV.2021.3078368\",
\"SourceTitle\": \"The Influence of Minority Carrier Density on Degradation and Regeneration Kinetics in Multicrystalline Silicon Wafers\",
\"Authors\": \"Guro Marie Wyller, Marie Syre Wiig, Ida Due-S\\u00f8rensen, Rune S\\u00f8nden\\u00e5\",
\"Reference\": \"G. Wyller et al., IEEE J. Photovoltaics, vol. 11, no. 4, pp. 878-889, 2021, doi: 10.1109/JPHOTOV.2021.3078367.\",
\"KeyWords\": \"p-type mc-Si Perc, Degradation, LeTID, Hydrogen Involvement\",
\"Material\": \"p-type mc-Si Perc\",
\"Degradation\": \"LeTID\",
\"Comments\": \"wafer_200micron\",
\"EquationType\": \"LeTID\",
\"x_bc\": {
\"value\": 1.2
}
}
D035:
    {
\"DataEntryPerson\": \"Weston Wall\",
\"DateEntered\": \"5/26/2023\",
\"DOI\": \"doi:10.1109/JPHOTOV.2020.3025240\",
\"SourceTitle\": \"Temporary Recovery of the Defect Responsible for Light- and Elevated Temperature-Induced Degradation: Insights Into the Physical Mechanisms Behind LeTID\",
\"Authors\": \"Wolfram Kwapil, Jonas Sch\\u00f6n, Tim Niewelt, and Martin C. Schubert\",
\"Reference\": \"W. Kwapil et al., IEEE J. Photovoltaics, vol. 10, no. 6, pp. 1591-1603, 2020, doi: 10.1109/JPHOTOV.2020.3025240.\",
\"KeyWords\": \"Degradation, Defect reactions, light- and elevated temperature-induced degradation, LeTID, model, silicon defects.\",
\"Material\": \"mc-Si cells\",
\"Degradation\": \"LeTID\",
\"Comments\": \"Cell_200Micron\",
\"EquationType\": \"LeTID\",
\"x_ba\": {
\"value\": 1.7
}
}
D036:
    {
\"DataEntryPerson\": \"Michael Kempe\",
\"DateEntered\": \"2/14/2025\",
\"DOI\": \"10.1109/PVSC45281.2020.9300357\",
\"SourceTitle\": \"Highly Accelerated UV Stress Testing for Transparent Flexible Frontsheets\",
\"Authors\": \"Michael D Kempe, Peter Hacke, Joshua Morse, Michael Owen-Bellini, Derek Holsapple, Trevor Lockman, Samantha Hoang, David Okawa, Tamir Lance, Hoi Hong Ng\",
\"Reference\": \"Kempe, M. D., et al. (2020). Highly Accelerated UV Stress Testing for Transparent Flexible Frontsheets. 2020 47th IEEE Photovoltaic Specialists Conference (PVSC).\",
\"KeyWords\": \"Humidity, Irradiance, reciprocity\",
\"Material\": \"Flexible Frontsheet, Frontsheet Coatings\",
\"Degradation\": \"UV Cut On, UV Transmittance 310nm-350nm, Yellowness index, SPQEWT\",
\"EquationType\": \"arrhenius\",
\"Equation\": \"R_D=R_0\\\\cdot RH^n\\\\cdot G_{340}^P\\\\cdot e^{ \\\\left( \\\\frac{-E_a}{R\\\\cdot T_K } \\\\right) }\",
\"R_D\": {
\"units\": \"%/h\"
},
\"R_0\": {
\"units\": \"%/h\"
},
\"E_a\": {
\"value\": 38.7,
\"stdev\": 21.7,
\"units\": \"kJ/mol\"
},
\"n\": {},
\"p\": {
\"value\": 0.49,
\"stdev\": 0.22
},
\"Corr-E_a-P\": {
\"value\": -0.606
}
}
" ], "text/plain": [ "" @@ -448,13 +2139,6 @@ }, "metadata": {}, "output_type": "display_data" - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "

JSON Output at fp: C:\\Users\\mspringe\\OneDrive - NREL\\msp\\projects\\2023_DegradationTools\\Github\\PVDegradationTools\\pvdeg\\data\\DegradationDatabase.json

D001:
    {
\"DataEntryPerson\": \"Michael Kempe\",
\"EquationType\": \"arrhenius\",
\"Equation\": \"R_D=R_0\\\\cdot e^{ \\\\left( \\\\frac{-E_a}{R\\\\cdot T_K } \\\\right) }\",
\"R_D\": {
\"units\": \"%/h\"
},
\"R_0\": {
\"units\": \"%/h\"
},
\"E_a\": {
\"units\": \"kJ/mol\"
}
}
D002:
    {
\"DataEntryPerson\": \"Weston Wall\",
\"SourceTitle\": \"Error Analyses and Associated Risk for Accelerated Weathering Results/2009 Presentation\",
\"Authors\": \"Richard M. Fischer, Warren D. Ketola\",
\"Reference\": \"R. M. Fischer and W. D. Ketola, 'Error Analyses and Associated Risk for Accelerated Weathering Results,' Third International Service Life Symposium, Sedona, AZ February 2004, 2004.\",
\"KeyWords\": \"Gloss, color shift, cracking, gloss loss, fluorescence loss, retroreflectance loss, adhesive transfer (clean removal), shrinkage, yellowing\",
\"Material\": \"Paints and Coatings\",
\"EquationType\": \"Vant_Hoff_TOW_Schwarzchild\",
\"Equation\": \"R_D=R_0\\\\cdot G^P \\\\left( \\\\frac{1}{b+m\\\\cdot TOW} \\\\right) \\\\cdot T_f^{ \\\\frac{T}{10}}\",
\"R_D\": {},
\"R_0\": {
\"units\": \"%/h\"
},
\"x\": {
\"value\": 0.64,
\"stdev\": 0.2
},
\"b\": {
\"value\": 1.07,
\"stdev\": 0.11
},
\"m\": {
\"value\": -2.8e-05,
\"stdev\": 4.88e-05
},
\"T_f\": {
\"value\": 1.41,
\"stdev\": 0.23
}
}
D003:
    {
\"DataEntryPerson\": \"Weston Wall\",
\"DOI\": \"10.1002/.pip1172\",
\"SourceTitle\": \"Life Prediction for CIGS Solar Modules\",
\"Authors\": \"D.J. Coyle, H.A. Blaydes, R.S. Northey, J.E. Pickett, K.R. Nagarkar, R.A. Zhao, and J.O. Gardner\",
\"Reference\": \"Coyle, D. J., et al. (2011). 'Life prediction for CIGS solar modules part 2: degradation kinetics, accelerated testing, and encapsulant effects.' Progress in Photovoltaics: Research and Applications.\",
\"KeyWords\": \"Temperature, humidity, CIGS, Moisture ingress, thin film\",
\"Material\": \"CIGS\",
\"Degradation\": \"CIGS_Efficiency, ITO_ECA0\",
\"EquationType\": \"Arrhenius_BET4\",
\"Equation\": \"R_D=R_0\\\\cdot e^{ \\\\left( \\\\frac{-E_a}{R\\\\cdot T_K } \\\\right) } \\\\cdot \\\\left( \\\\frac{RH}{1-RH+E} \\\\right)\",
\"R_D\": {
\"units\": \"%/h\"
},
\"R_0\": {
\"value\": 845000000,
\"units\": \"%/h\"
},
\"E_a\": {
\"value\": 33.472,
\"units\": \"kJ/mol\"
},
\"E\": {
\"value\": 0.04
}
}
D004:
    {
\"DataEntryPerson\": \"Weston Wall\",
\"DOI\": \"10.1002/.pip1173\",
\"SourceTitle\": \"Life Prediction for CIGS Solar Modules\",
\"Authors\": \"D.J. Coyle, H.A. Blaydes, R.S. Northey, J.E. Pickett, K.R. Nagarkar, R.A. Zhao, and J.O. Gardner\",
\"Reference\": \"Coyle, D. J., et al. (2011). 'Life prediction for CIGS solar modules part 2: degradation kinetics, accelerated testing, and encapsulant effects.' Progress in Photovoltaics: Research and Applications.\",
\"KeyWords\": \"Temperature, humidity, CIGS, Moisture ingress, thin film\",
\"Material\": \"CIGS\",
\"Degradation\": \"CIGS_Efficiency, ITO_ECA1\",
\"EquationType\": \"Arrhenius_BET5\",
\"Equation\": \"R_D=R_0\\\\cdot e^{ \\\\left( \\\\frac{-E_a}{R\\\\cdot T_K } \\\\right) } \\\\cdot \\\\left( \\\\frac{RH}{1-RH+E} \\\\right)\",
\"R_D\": {
\"units\": \"%/h\"
},
\"R_0\": {
\"value\": 73000000000000,
\"units\": \"%/h\"
},
\"E_a\": {
\"value\": 67.3624,
\"units\": \"kJ/mol\"
},
\"E\": {
\"value\": 0.04
}
}
D005:
    {
\"DataEntryPerson\": \"Weston Wall\",
\"DOI\": \"10.1002/.pip1174\",
\"SourceTitle\": \"Life Prediction for CIGS Solar Modules\",
\"Authors\": \"D.J. Coyle, H.A. Blaydes, R.S. Northey, J.E. Pickett, K.R. Nagarkar, R.A. Zhao, and J.O. Gardner\",
\"Reference\": \"Coyle, D. J., et al. (2011). 'Life prediction for CIGS solar modules part 2: degradation kinetics, accelerated testing, and encapsulant effects.' Progress in Photovoltaics: Research and Applications.\",
\"KeyWords\": \"Temperature, humidity, CIGS, Moisture ingress, thin film\",
\"Material\": \"CIGS\",
\"Degradation\": \"CIGS_Efficiency, AZO\",
\"EquationType\": \"Arrhenius_BET6\",
\"Equation\": \"R_D=R_0\\\\cdot e^{ \\\\left( \\\\frac{-E_a}{R\\\\cdot T_K } \\\\right) } \\\\cdot \\\\left( \\\\frac{RH}{1-RH+E} \\\\right)\",
\"R_D\": {
\"units\": \"%/h\"
},
\"R_0\": {
\"value\": 1.1e+17,
\"units\": \"%/h\"
},
\"E_a\": {
\"value\": 78.6592,
\"units\": \"kJ/mol\"
},
\"E\": {
\"value\": 0.04
}
}
D006:
    {
\"DataEntryPerson\": \"Weston Wall\",
\"DOI\": \"10.1109/PVSC45281.2020.9300357\",
\"SourceTitle\": \"Highly Accelerated UV Stress Testing for Transparent Flexible Frontsheets\",
\"Authors\": \"Michael D Kempe, Peter Hacke, Joshua Morse, Michael Owen-Bellini, Derek Holsapple, Trevor Lockman, Samantha Hoang, David Okawa, Tamir Lance, Hoi Hong Ng\",
\"Reference\": \"Kempe, M. D., et al. (2020). Highly Accelerated UV Stress Testing for Transparent Flexible Frontsheets. 2020 47th IEEE Photovoltaic Specialists Conference (PVSC).\",
\"KeyWords\": \"humidity, irradiance, frontsheet, UV cut-on\",
\"Material\": \"Flexible Frontsheet, Frontsheet Coatings\",
\"Degradation\": \"UV Cut On\",
\"EquationType\": \"arrhenius\",
\"Equation\": \"R_D=R_0\\\\cdot RH^n\\\\cdot G_{340}^P\\\\cdot e^{ \\\\left( \\\\frac{-E_a}{R\\\\cdot T_K } \\\\right) }\",
\"R_D\": {
\"units\": \"%/h\"
},
\"R_0\": {
\"units\": \"%/h\"
},
\"E_a\": {
\"value\": 35.3,
\"stdev\": 8.9,
\"units\": \"kJ/mol\"
},
\"n\": {},
\"p\": {
\"value\": 0.37,
\"stdev\": 0.26
}
}
D007:
    {
\"DataEntryPerson\": \"Weston Wall\",
\"DOI\": \"10.1109/PVSC45281.2020.9300357\",
\"SourceTitle\": \"Highly Accelerated UV Stress Testing for Transparent Flexible Frontsheets\",
\"Authors\": \"Michael D Kempe, Peter Hacke, Joshua Morse, Michael Owen-Bellini, Derek Holsapple, Trevor Lockman, Samantha Hoang, David Okawa, Tamir Lance, Hoi Hong Ng\",
\"Reference\": \"Kempe, M. D., et al. (2020). Highly Accelerated UV Stress Testing for Transparent Flexible Frontsheets. 2020 47th IEEE Photovoltaic Specialists Conference (PVSC).\",
\"KeyWords\": \"humidity, irradiance, frontsheet, ultraviolet, transmittance\",
\"Material\": \"Flexible Frontsheet, Frontsheet Coatings\",
\"Degradation\": \"UV Transmittance 310nm-350nm\",
\"EquationType\": \"arrhenius\",
\"Equation\": \"R_D=R_0\\\\cdot RH^n\\\\cdot G_{340}^P\\\\cdot e^{ \\\\left( \\\\frac{-E_a}{R\\\\cdot T_K } \\\\right) }\",
\"R_D\": {
\"units\": \"%/h\"
},
\"R_0\": {
\"units\": \"%/h\"
},
\"E_a\": {
\"value\": 53.2,
\"stdev\": 16.6,
\"units\": \"kJ/mol\"
},
\"n\": {},
\"p\": {
\"value\": 0.45,
\"stdev\": 0.24
}
}
D008:
    {
\"DataEntryPerson\": \"Weston Wall\",
\"DOI\": \"10.1109/PVSC45281.2020.9300357\",
\"SourceTitle\": \"Highly Accelerated UV Stress Testing for Transparent Flexible Frontsheets\",
\"Authors\": \"Michael D Kempe, Peter Hacke, Joshua Morse, Michael Owen-Bellini, Derek Holsapple, Trevor Lockman, Samantha Hoang, David Okawa, Tamir Lance, Hoi Hong Ng\",
\"Reference\": \"Kempe, M. D., et al. (2020). Highly Accelerated UV Stress Testing for Transparent Flexible Frontsheets. 2020 47th IEEE Photovoltaic Specialists Conference (PVSC).\",
\"KeyWords\": \"humidity, irradiance, yellowness, yellowness index\",
\"Material\": \"Flexible Frontsheet, Frontsheet Coatings\",
\"Degradation\": \"yellowness_index\",
\"EquationType\": \"arrhenius\",
\"Equation\": \"R_D=R_0\\\\cdot RH^n\\\\cdot G_{340}^P\\\\cdot e^{ \\\\left( \\\\frac{-E_a}{R\\\\cdot T_K } \\\\right) }\",
\"R_D\": {
\"units\": \"%/h\"
},
\"R_0\": {
\"units\": \"%/h\"
},
\"E_a\": {
\"value\": 40.4,
\"stdev\": 22.5,
\"units\": \"kJ/mol\"
},
\"n\": {},
\"p\": {
\"value\": 0.5,
\"stdev\": 0.25
}
}
D009:
    {
\"DataEntryPerson\": \"Weston Wall\",
\"DOI\": \"10.1109/PVSC45281.2020.9300357\",
\"SourceTitle\": \"Highly Accelerated UV Stress Testing for Transparent Flexible Frontsheets\",
\"Authors\": \"Michael D Kempe, Peter Hacke, Joshua Morse, Michael Owen-Bellini, Derek Holsapple, Trevor Lockman, Samantha Hoang, David Okawa, Tamir Lance, Hoi Hong Ng\",
\"Reference\": \"Kempe, M. D., et al. (2020). Highly Accelerated UV Stress Testing for Transparent Flexible Frontsheets. 2020 47th IEEE Photovoltaic Specialists Conference (PVSC).\",
\"KeyWords\": \"humidity, irradiance, frontsheet, transmittance\",
\"Material\": \"Flexible Frontsheet, Frontsheet Coatings\",
\"Degradation\": \"SPQEWT\",
\"EquationType\": \"arrhenius\",
\"Equation\": \"R_D=R_0\\\\cdot RH^n\\\\cdot G_{340}^P\\\\cdot e^{ \\\\left( \\\\frac{-E_a}{R\\\\cdot T_K } \\\\right) }\",
\"R_D\": {
\"units\": \"%/h\"
},
\"R_0\": {
\"units\": \"%/h\"
},
\"E_a\": {
\"value\": 30.7,
\"stdev\": 23.5,
\"units\": \"kJ/mol\"
},
\"n\": {},
\"p\": {
\"value\": 0.53,
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}
}
D010:
    {
\"DataEntryPerson\": \"Jada Swailes\",
\"DateEntered\": \"3/21/2023\",
\"DOI\": \"10.1016/j.polymdegradstab.2013.04.001\",
\"SourceTitle\": \"Pickett Coyle Hydrolysis Kinetics of condensation polymers under humidity aging conditions.pdf\",
\"Authors\": \"James E. Pickett, Dennis J. Coyle\",
\"KeyWords\": \"PC, humidity, hydrothermal, polycarbonate, polyarylate, aryl ester, aromatic polyester, hydrolysis\",
\"Material\": \"Bisphenol-A polycarbonate (PC)\",
\"Degradation\": \"Hydrolysis\",
\"Comments\": \"RH is a fraction between 0 and 1. Data from Table 5. The paper provided variability for a 95% confidence interval which was divided by 2 to get the standard deviation.\",
\"EquationType\": \"arrhenius\",
\"Equation\": \"t_{fail}=R_0\\\\cdot \\\\frac {e^{ \\\\left( \\\\frac{E_a}{R\\\\cdot T_K } \\\\right) }}{RH^2}\",
\"t_fail\": {
\"units\": \"days\"
},
\"R_0\": {
\"value\": 65200000000.0,
\"units\": \"days\"
},
\"ln(R_0)\": {
\"value\": 24.9,
\"stdev\": 1.6,
\"units\": \"ln(days)\"
},
\"E_a\": {
\"value\": 92,
\"stdev\": 4.8,
\"units\": \"kJ/mol\"
},
\"n\": {
\"value\": 2,
\"stdev\": 0,
\"units\": \"NA\"
}
}
D011:
    {
\"DataEntryPerson\": \"Jada Swailes\",
\"DateEntered\": \"3/21/2023\",
\"DOI\": \"10.1016/j.polymdegradstab.2013.04.001\",
\"SourceTitle\": \"Pickett Coyle Hydrolysis Kinetics of condensation polymers under humidity aging conditions.pdf\",
\"Authors\": \"James E. Pickett, Dennis J. Coyle\",
\"KeyWords\": \"PET, humidity, hydrothermal, polyester, PET, polyarylate, aryl ester, aromatic polyester, hydrolysis, poly(ethylene terephthalate)\",
\"Material\": \"poly(ethylene terephthalate), Average of three materials, PET-A,B,C\",
\"Degradation\": \"Hydrolysis\",
\"Comments\": \"RH is a fraction between 0 and 1. Data from Table 5. The paper provided variability for a 95% confidence interval which was divided by 2 to get the standard deviation.\",
\"EquationType\": \"arrhenius\",
\"Equation\": \"t_{fail}=R_0\\\\cdot \\\\frac {e^{ \\\\left( \\\\frac{E_a}{R\\\\cdot T_K } \\\\right) }}{RH^2}\",
\"t_fail\": {
\"units\": \"days\"
},
\"R_0\": {
\"value\": 1.689e+17,
\"units\": \"days\"
},
\"ln(R_0)\": {
\"value\": 39.3,
\"stdev\": 1.1,
\"units\": \"ln(days)\"
},
\"E_a\": {
\"value\": 129,
\"stdev\": 3.35,
\"units\": \"kJ/mol\"
},
\"n\": {
\"value\": 2,
\"stdev\": 0,
\"units\": \"NA\"
}
}
D012:
    {
\"DataEntryPerson\": \"Jada Swailes\",
\"DateEntered\": \"3/21/2023\",
\"DOI\": \"10.1016/j.polymdegradstab.2013.04.001\",
\"SourceTitle\": \"Pickett Coyle Hydrolysis Kinetics of condensation polymers under humidity aging conditions.pdf\",
\"Authors\": \"James E. Pickett, Dennis J. Coyle\",
\"KeyWords\": \"PET, humidity, hydrothermal, polyester, pET, aryl ester, aromatic polyester, hydrolysis, poly(ethylene terephthalate)\",
\"Material\": \"poly(ethylene terephthalate), PET-D\",
\"Degradation\": \"Hydrolysis\",
\"Comments\": \"RH is a fraction between 0 and 1. Data from Table 5. The paper provided variability for a 95% confidence interval which was divided by 2 to get the standard deviation. This is the time to failure for the PET-D material.\",
\"EquationType\": \"arrhenius\",
\"Equation\": \"t_{fail}=R_0\\\\cdot \\\\frac {e^{ \\\\left( \\\\frac{E_a}{R\\\\cdot T_K } \\\\right) }}{RH^2}\",
\"t_fail\": {
\"units\": \"days\"
},
\"R_0\": {
\"value\": 7.835e+16,
\"units\": \"days\"
},
\"ln(R_0)\": {
\"value\": 38.9,
\"stdev\": 1,
\"units\": \"ln(days)\"
},
\"E_a\": {
\"value\": 128,
\"stdev\": 2.95,
\"units\": \"kJ/mol\"
},
\"n\": {
\"value\": 2,
\"stdev\": 0,
\"units\": \"NA\"
}
}
D013:
    {
\"DataEntryPerson\": \"Jada Swailes\",
\"DateEntered\": \"3/21/2023\",
\"DOI\": \"10.1016/j.polymdegradstab.2013.04.001\",
\"SourceTitle\": \"Pickett Coyle Hydrolysis Kinetics of condensation polymers under humidity aging conditions.pdf\",
\"Authors\": \"James E. Pickett, Dennis J. Coyle\",
\"KeyWords\": \"RPA, resorcinol polyarylate, humidity, hydrothermal, polyester, polyarylate, aryl ester, aromatic polyester, hydrolysis\",
\"Material\": \"resorcinol polyarylate (RPA-A)\",
\"Degradation\": \"Hydrolysis\",
\"Comments\": \"RH is a fraction between 0 and 1. Data from Table 5. The paper provided variability for a 95% confidence interval which was divided by 2 to get the standard deviation.\",
\"EquationType\": \"arrhenius\",
\"Equation\": \"t_{fail}=R_0\\\\cdot \\\\frac {e^{ \\\\left( \\\\frac{E_a}{R\\\\cdot T_K } \\\\right) }}{RH^2}\",
\"t_fail\": {
\"units\": \"days\"
},
\"R_0\": {
\"value\": 64649000000000.0,
\"units\": \"days\"
},
\"ln(R_0)\": {
\"value\": 31.8,
\"stdev\": 1.85,
\"units\": \"ln(days)\"
},
\"E_a\": {
\"value\": 105,
\"stdev\": 5.45,
\"units\": \"kJ/mol\"
},
\"n\": {
\"value\": 2,
\"stdev\": 0,
\"units\": \"NA\"
}
}
D014:
    {
\"DataEntryPerson\": \"Jada Swailes\",
\"DateEntered\": \"3/21/2023\",
\"DOI\": \"10.1016/j.polymdegradstab.2013.04.001\",
\"SourceTitle\": \"Pickett Coyle Hydrolysis Kinetics of condensation polymers under humidity aging conditions.pdf\",
\"Authors\": \"James E. Pickett, Dennis J. Coyle\",
\"KeyWords\": \"Humidity, hydrothermal, polyester, polyarylate, aryl ester, aromatic polyester, resorcinol polyarylate, hydrolysis\",
\"Material\": \"RPA-B,C\",
\"Degradation\": \"Hydrolysis\",
\"Comments\": \"RH is a fraction between 0 and 1. Data from Table 5. The paper provided variability for a 95% confidence interval which was divided by 2 to get the standard deviation.\",
\"EquationType\": \"arrhenius\",
\"Equation\": \"t_{fail}=R_0\\\\cdot \\\\frac {e^{ \\\\left( \\\\frac{E_a}{R\\\\cdot T_K } \\\\right) }}{RH^2}\",
\"t_fail\": {
\"units\": \"days\"
},
\"ln(R_0)\": {
\"value\": 30,
\"stdev\": 2,
\"units\": \"ln(days)\"
},
\"R_0\": {
\"value\": 1.98626e+49,
\"units\": \"days\"
},
\"E_a\": {
\"value\": 102,
\"stdev\": 6.05,
\"units\": \"kJ/mol\"
},
\"n\": {
\"value\": 2,
\"stdev\": 0,
\"units\": \"NA\"
}
}
D015:
    {
\"DataEntryPerson\": \"Weston Wall\",
\"DateEntered\": \"3/27/2023\",
\"DOI\": \"10.1021/jacs.2c00391\",
\"SourceTitle\": \"Water-Accelerated Photo-oxidation of CH3NH3PbI3 Perovskite: Mechanism, rate orders, and rate constants\",
\"Authors\": \"Timothy D. Siegler, Wiley A. Dunlap-Shohl, Yuhuan Meng, Wylie F. Kau, Preetham P. Sunkari, Chang En Tsai, Zachary J. Armstrong, Yu-chia Chen, David A. C. Beck, Marina Meila, Hugh W. Hillhouse\",
\"Reference\": \"Journal of the American Chemical Society 2022 144 (12), 5552-5561\",
\"KeyWords\": \"Dry Photooxidation, Water Photooxidiation\",
\"Material\": \"Halide Perovskite (MAPbI3)\",
\"Degradation\": \"Optical Transmittance In-Situ measurement\",
\"Comments\": \"LED Light at 550nm\",
\"EquationType\": \"Perovskite_1\",
\"Equation\": \"R_D=R_{0,WPO}\\\\cdot e^{ \\\\left( \\\\frac{-E_{a,WPO}}{R\\\\cdot T_K } \\\\right) } \\\\cdot \\\\left< \\\\frac{P_{O_2}\\\\cdot P_{H_2 O}\\\\cdot G_{550}^{0.7} }{ \\\\left[ 1+K_{2W}\\\\cdot P_{O_2} \\\\left(1+K_{3W}\\\\cdot G_{550}^{0.7} \\\\right) \\\\right]^2} \\\\right> +R_{0,DPO}\\\\cdot e^ {\\\\left( \\\\frac{-E_{a,DPO}}{R\\\\cdot T_K} \\\\right) } \\\\cdot \\\\frac{P_{O_2} \\\\cdot G_{550}^{0.7} }{1+K_{2D}\\\\cdot P_{O_2} \\\\cdot \\\\left( 1+K_3D\\\\cdot G_{550}^{0.7} \\\\right)} +R_{0,hum}\\\\cdot e^ { \\\\left( \\\\frac {-E_a^{hum}}{R\\\\cdot T_K } \\\\right) } \\\\cdot P_{H_2 O}\\\\cdot G_{550}^{0.7}+R_{0,therm}\\\\cdot e^{ \\\\left( \\\\frac{-E_a^{therm}}{R\\\\cdot T_K } \\\\right) }\",
\"R_D\": {
\"units\": \"mol/(m^2\\u00c2\\u00b7s)\"
},
\"R_0,WPO\": {
\"value\": 3.16e-25,
\"units\": \"mol/(m^2\\u00c2\\u00b7s\\u00c2\\u00b7kpa^2 )\\u00c2\\u00b7(photons/(m^2\\u00c2\\u00b7s))^(-0.7)\"
},
\"E_a,WPO\": {
\"value\": -8.6827,
\"units\": \"kJ/mol\"
},
\"K_2W\": {
\"value\": 0.0044,
\"units\": \"1/kPa\"
},
\"K_3W\": {
\"value\": 4.32e-15,
\"units\": \"(photons/(m^2\\u00c2\\u00b7s))^(-0.7)\"
},
\"R_0,DPO\": {
\"value\": 5.45e-15,
\"units\": \"mol/(m^2\\u00c2\\u00b7s\\u00c2\\u00b7kpa )\\u00c2\\u00b7(photons/(m^2\\u00c2\\u00b7s))^(-0.7)\"
},
\"E_a,DPO\": {
\"value\": 59.82,
\"units\": \"kJ/mol\"
},
\"K_2D\": {
\"value\": 0.00328,
\"units\": \"1/kPa\"
},
\"K_3D\": {
\"value\": 6.97e-15,
\"units\": \"(photons/(m^2\\u00c2\\u00b7s))^(-0.7)\"
},
\"R_0,hum\": {
\"value\": 9.2e-22,
\"units\": \"mol/(m^2\\u00c2\\u00b7s\\u00c2\\u00b7kpa)\\u00c2\\u00b7(photons/(m^2\\u00c2\\u00b7s))^(-0.7)\"
},
\"E_a^hum\": {
\"value\": 19.3,
\"units\": \"kJ/mol\"
},
\"E_a^therm\": {
\"value\": 43.42,
\"units\": \"kJ/mol\"
},
\"R_0,therm\": {
\"value\": 0.00041,
\"units\": \"mol/(m^2\\u00c2\\u00b7s)\"
}
}
D016:
    {
\"DataEntryPerson\": \"Weston Wall\",
\"DateEntered\": \"4/7/2023\",
\"DOI\": \"10.1002/pip.2908\",
\"SourceTitle\": \"Evaluation and modeling of the potential effects of a module manufacturing anomaly\",
\"Authors\": \"Michael D Kempe, Dirk C Jordan\",
\"Reference\": \"Kempe MD, Jordan DC. Evaluation and modeling of the potential effects of a module manufacturing anomaly. Prog Photovolt Res Appl. 2017. https://doi.org/10.1002/pip.2908\",
\"KeyWords\": \"Damp Heat, Durability, Kinetics, Manufacturing Quality, Reliability, Solder Flux, Metallization contact resistance\",
\"Material\": \"multi-crystalline Silicon\",
\"Degradation\": \"Fill Factor\",
\"Comments\": \"Degradation of metallization contact to the cell due to flux\",
\"EquationType\": \"FF_Arrhenius\",
\"Equation\": \"FF_t=FF_0\\\\cdot \\\\left( 1- \\\\frac{A_i}{A_o} \\\\cdot \\\\left< 1-e^{\\\\left[ -e^{\\\\left( B_1- \\\\frac{B_2}{R\\\\cdot T_K }-B_3\\\\cdot RH \\\\right) \\\\cdot t } \\\\right] } \\\\right> \\\\right)\",
\"FF\": {
\"units\": \"%\"
},
\"B_1\": {
\"value\": 14.7,
\"stdev\": 4.4
},
\"B_2\": {
\"value\": 76.22,
\"stdev\": 0.135,
\"units\": \"kJ/mol\"
},
\"B_3\": {
\"value\": -0.005,
\"stdev\": 0.012,
\"units\": \"1/%\"
},
\"A\": {
\"value\": 0.073,
\"stdev\": 0.02
},
\"Corr-B_1-B_2\": 0.985,
\"Corr-B_1-B_3\": 0.216,
\"Corr-B_2-B_3\": 0.0452
}
D017:
    {
\"DataEntryPerson\": \"Weston Wall\",
\"DateEntered\": \"4/17/2023\",
\"SourceTitle\": \"PV CONNECTORS, BOTTLENECK OF 40 YEARS LIFETIME MODULES?\",
\"Authors\": \"Xuanji Yu , Ben Huang, Ruirui Lv, Jean-Nicolas Jaubert , Tao Xu, Guangchun Zhang\",
\"KeyWords\": \"Connectors, Polymer sealing failure, metal pin corrosion, 40 year reliability\",
\"Material\": \"Connectors\",
\"Degradation\": \"Wet insulation resistance < 400Mohm\",
\"EquationType\": \"Arrhenius_Connector\",
\"Equation\": \"R_D=R_{0,T} \\\\cdot e^ {\\\\left( \\\\frac {-E_{a,T}}{R\\\\cdot T_K } \\\\right)}+R_{0,H}\\\\cdot RH^n\\\\cdot e^{ \\\\left( \\\\frac{-E_{a,H}}{R\\\\cdot T_K } \\\\right) }+R_{0,P}\\\\cdot G^P\\\\cdot e^{ \\\\left( \\\\frac {-E_{a,P}}{R\\\\cdot T_K } \\\\right) }\",
\"R_D\": {},
\"R_0,T\": {},
\"E_a,T\": {},
\"R_0,H\": {},
\"n\": {},
\"E_a,H\": {},
\"R_0,P\": {},
\"p\": {},
\"E_a,P\": {}
}
D018:
    {
\"DataEntryPerson\": \"Jada Swailes\",
\"DateEntered\": \"4/14/2023\",
\"DOI\": \"10.1016/j.solmat.2011.02.013\",
\"SourceTitle\": \"An Arrhenius approach to estimating organic photovoltaic module weathering acceleration factors\",
\"Authors\": \"Olivier Haillant, David Dumbleton, Allen Zielnik\"
}
D019:
    {
\"DataEntryPerson\": \"Weston Wall\",
\"DateEntered\": \"4/27/2023\",
\"DOI\": \"10.1109/JPHOTOV.2018.2850527\",
\"SourceTitle\": \"Quantification of Environmental Effects on PV Module Degradation: A Physics-Based Data Driven Modeling Method\",
\"Authors\": \"Arun Bala Subramaniyan, Rong Pan, Joseph Kuitche, GovindaSamy TamizhMani\",
\"Reference\": \"A. Bala Subramaniyan, R. Pan, J. Kuitche and G. TamizhMani, 'Quantification of Environmental Effects on PV Module Degradation: A Physics-Based Data-Driven Modeling Method,' in IEEE Journal of Photovoltaics, vol. 8, no. 5, pp. 1289-1296, Sept. 2018, doi: 10.1109/JPHOTOV.2018.2850527.\",
\"KeyWords\": \"Outdoor, mono-crystalline Silicon, effeciency, Cumulative effects model\",
\"Material\": \"mono-Crystalline Silicon\",
\"Degradation\": \"Overall power generated\",
\"Comments\": \"Uncertainties given using 95% confidence interval\",
\"EquationType\": \"Arrhenius_Coffin_Manson_Peck\",
\"Equation\": \"R_D=B_0\\\\cdot e^{\\\\left( \\\\frac{-B_1}{R\\\\cdot T_K}\\\\right)}\\\\cdot \\u00ce\\u201dT^{B_2} \\\\cdot UV_{Daily}^{B_3}\\\\cdot {RH_{Daily}}^{B_4}\",
\"R_D\": {
\"units\": \"%/year\"
},
\"R_0\": {
\"value\": 0.35,
\"stdev\": 0.037,
\"units\": \"1/sec\"
},
\"E_a\": {
\"value\": 67.5,
\"stdev\": 7.25,
\"units\": \"kJ/mol\"
},
\"m\": {
\"value\": 2.41,
\"stdev\": 0.03
},
\"p\": {
\"value\": 0.75,
\"stdev\": 0.04375
},
\"n\": {
\"value\": 1.52,
\"stdev\": 0.063
}
}
D020:
    {
\"DataEntryPerson\": \"Weston Wall\",
\"DOI\": \"10.1109/PVSC45281.2020.9300638\",
\"SourceTitle\": \"Failure modes of polyolefin encapsulated double glass modules and corresponding degradation modeling: Part 1 optical durability\",
\"Authors\": \"Ben X. J. Yu, Ruirui Lv, Jean-Nicolas Jaubert, Guoqiang Xing, Julien Dupuis, Eric Sandre, Christophe Dugue, Gilles Goaer\",
\"Reference\": \"B. X. J. Yu et al., 'Failure modes of polyolefin encapsulated double glass modules and corresponding degradation modeling: Part 1 optical durability,' 2020 47th IEEE Photovoltaic Specialists Conference (PVSC), Calgary, AB, Canada, 2020, pp. 1002-1007, doi: 10.1109/PVSC45281.2020.9300638.\",
\"KeyWords\": \"Bifacial, Encapsulants, Delamination, Yellowing, Sevice Life predication\",
\"Material\": \"Encapsulents, (POE, TPO, EVA)\"
}
D021:
    {
\"DataEntryPerson\": \"Weston Wall\",
\"DateEntered\": \"5/15/2023\",
\"DOI\": \"10.1109/PVSC.2018.8547944\",
\"SourceTitle\": \"Acceleration Factor Modeling for Degradation Rate Prediction of Photovoltaic Encapsulant Discoloration\",
\"Authors\": \"Archana Sinha, Shantanu Pore, Arun Balasubramaniyan, GovindaSamy TamizhMani\",
\"Reference\": \"A. Sinha, S. Pore, A. Balasubramaniyan and G. TamizhMani, 'Acceleration Factor Modeling for Degradation Rate Prediction of Photovoltaic Encapsulant Discoloration,' 2018 IEEE 7th World Conference on Photovoltaic Energy Conversion (WCPEC) (A Joint Conference of 45th IEEE PVSC, 28th PVSEC & 34th EU PVSEC), Waikoloa, HI, USA, 2018, pp. 1342-1346, doi: 10.1109/PVSC.2018.8547944.\",
\"KeyWords\": \"Acceleration Factor, Arrhenius, degradation rate, encapsulant discoloration, Lifetime prediction\",
\"Material\": \"EVA Encapsulent, Si-cells\",
\"Degradation\": \"Encapsulent Discoloration, Isc loss\",
\"EquationType\": \"arrhenius\",
\"Equation\": \"R_D=R_0\\\\cdot G^p\\\\cdot e^{\\\\left( \\\\frac{E_a}{R\\\\cdot T_K} \\\\right)}\",
\"R_D\": {
\"value\": 0.1,
\"units\": \"%/year\"
},
\"E_a\": {
\"value\": 29.91,
\"units\": \"kJ/mol\"
},
\"p\": {},
\"R_0\": {}
}
D022:
    {
\"DataEntryPerson\": \"Weston Wall\",
\"DateEntered\": \"5/15/2023\",
\"DOI\": \"10.1002/apmc.1994.052160108\",
\"SourceTitle\": \"The kinetics and mechanism of polyethylene photo-oxidation\",
\"Authors\": \"J. J. C. Cruz-Pinto, M. E. S. Carvalho, J. F. A. Ferreira\",
\"Reference\": \"Cruz Pinto, Jose Joaquim & Carvalho, M. & Ferreira, J.. (2003). The kinetics and mechanism of polyethylene photo-oxidation. Die Angewandte Makromolekulare Chemie. 216. 113 - 133. 10.1002/apmc.1994.052160108. \",
\"KeyWords\": \"Polyethylene, Photoxidation, Weathering, Mechanism, Kinetics\",
\"Material\": \"Polyethylene\",
\"Degradation\": \"Photoxidation\",
\"EquationType\": \"Arrhenius_G_DeltaT\",
\"Equation\": \"R_D=R_0\\\\cdot G\\\\cdot e^{\\\\left( \\\\frac{E_a}{R\\\\cdot T_K} \\\\right)}\\\\cdot \\u00ce\\u201dT\",
\"E_a\": {
\"value\": 58.24,
\"units\": \"kJ/mol\"
},
\"R_D\": {
\"units\": \"%/hour\"
},
\"R_0\": {}
}
D024:
    {
\"DataEntryPerson\": \"Weston Wall\",
\"DateEntered\": \"5/26/2023\",
\"DOI\": \"doi:10.1109/JPHOTOV.2020.3025240\",
\"SourceTitle\": \"Temporary Recovery of the Defect Responsible for Light- and Elevated Temperature-Induced Degradation: Insights Into the Physical Mechanisms Behind LeTID\",
\"Authors\": \"Wolfram Kwapil, Jonas Schon, Tim Niewelt, and Martin C. Schubert\",
\"Reference\": \"W. Kwapil et al., IEEE J. Photovoltaics, vol. 10, no. 6, pp. 1591-1603, 2020, doi: 10.1109/JPHOTOV.2020.3025240.\",
\"KeyWords\": \"Degradation, Defect reactions, light- and elevated temperature-induced degradation, LeTID, model, silicon defects.\",
\"Material\": \"mc-Si cells\",
\"Degradation\": \"LeTID\",
\"Comments\": \"Cell_200Micron\",
\"EquationType\": \"LeTID\",
\"v_ab\": {
\"value\": 33000000,
\"units\": \"(cm^3x)/s\"
},
\"v_ba\": {
\"value\": 4.7e-25,
\"units\": \"(cm^3x)/s\"
},
\"v_bc\": {
\"value\": 13100000,
\"units\": \"(cm^3x)/s\"
},
\"v_cb\": {
\"value\": 0,
\"units\": \"(cm^3x)/s\"
},
\"E_(a, ab)\": {
\"value\": 78.7895,
\"units\": \"kJ/mol\"
},
\"E_(a, ba)\": {
\"value\": -110.9653,
\"units\": \"kJ/mol\"
},
\"E_(a, bc)\": {
\"value\": 84.0442,
\"units\": \"kJ/mol\"
},
\"E_(a, cb)\": {
\"value\": 0,
\"units\": \"kJ/mol\"
},
\"x_ab\": {
\"value\": 1
},
\"x_ba\": {
\"value\": 1.7
},
\"x_bc\": {
\"value\": 1.2
}
}
D025:
    {
\"DataEntryPerson\": \"Weston Wall\",
\"DateEntered\": \"6/8/2023\",
\"DOI\": \"doi:10.1557/s43577-022-00438-8\",
\"SourceTitle\": \"Long-term impact of light- and elevated temperature-induced degradation on photovoltaic arrays\",
\"Authors\": \"I.L. Repins, D.C. Jordan, M.Woodhouse, M. Theristis, J.S. Stein, H.P. Seigneur, D.J. Colvin, J.F. Karas, A.N. McPherson, C. Deline\",
\"Reference\": \"I. Repins et al., MRS Bulletin, 2023. doi: 10.1557/s43577-022-00438-8.\",
\"KeyWords\": \"LeTID, Indoor, Outdoor\",
\"Material\": \"p-Si Cells\",
\"Degradation\": \"LeTID\",
\"Comments\": \"Cell_200Micron\",
\"EquationType\": \"LeTID\",
\"v_ab\": {
\"value\": 46700000,
\"units\": \"(cm^3x)/s\"
},
\"v_ba\": {
\"value\": 4.7e-25,
\"units\": \"(cm^3x)/s\"
},
\"v_bc\": {
\"value\": 19900000,
\"units\": \"(cm^3x)/s\"
},
\"v_cb\": {
\"value\": 0,
\"units\": \"(cm^3x)/s\"
},
\"E_(a, ab)\": {
\"value\": 78.7895,
\"units\": \"kJ/mol\"
},
\"E_(a, ba)\": {
\"value\": -110.9653,
\"units\": \"kJ/mol\"
},
\"E_(a, bc)\": {
\"value\": 84.0442,
\"units\": \"kJ/mol\"
},
\"E_(a, cb)\": {
\"value\": 0,
\"units\": \"kJ/mol\"
},
\"x_ab\": {
\"value\": 1
},
\"x_ba\": {
\"value\": 1.7
},
\"x_bc\": {
\"value\": 1.2
}
}
D026:
    {
\"DataEntryPerson\": \"Weston Wall\",
\"DateEntered\": \"6/8/2023\",
\"DOI\": \"doi:10.1016/j.solmat.2017.08.007\",
\"SourceTitle\": \"Light-induced lifetime degradation in high-performance multicrystalline silicon: Detailed kinetics of the defect activation\",
\"Authors\": \"Dennis Bredemeier, Dominic Walter, Jan Schmidt\",
\"Reference\": \"D. Bredemeier et al., Sol. Energy Mater. Sol. Cells, vol. 173, pp. 2-5, 2017, doi: 10.1016/j.solmat.2017.08.007.\",
\"KeyWords\": \"multi-Si, LeTID, \",
\"Material\": \"multi-Si\",
\"Degradation\": \"LeTID\",
\"Comments\": \"ab158micronwafer_bc200microncell\",
\"EquationType\": \"LeTID\",
\"v_ab\": {
\"value\": 937000000,
\"units\": \"(cm^3x)/s\"
},
\"v_ba\": {
\"value\": 0,
\"units\": \"(cm^3x)/s\"
},
\"v_bc\": {
\"value\": 21500000,
\"units\": \"(cm^3x)/s\"
},
\"v_cb\": {
\"value\": 0,
\"units\": \"(cm^3x)/s\"
},
\"E_(a, ab)\": {
\"value\": 85.8775,
\"units\": \"kJ/mol\"
},
\"E_(a, ba)\": {
\"value\": 0,
\"units\": \"kJ/mol\"
},
\"E_(a, bc)\": {
\"value\": 90.7021,
\"units\": \"kJ/mol\"
},
\"E_(a, cb)\": {
\"value\": 0,
\"units\": \"kJ/mol\"
},
\"x_ab\": {
\"value\": 1
},
\"x_ba\": {
\"value\": 1.7
},
\"x_bc\": {
\"value\": 1.2
}
}
D027:
    {
\"DataEntryPerson\": \"Weston Wall\",
\"DateEntered\": \"6/9/2023\",
\"DOI\": \"doi:10.1109/JPHOTOV.2021.3078367\",
\"SourceTitle\": \"The Influence of Minority Carrier Density on Degradation and Regeneration Kinetics in Multicrystalline Silicon Wafers\",
\"Authors\": \"Guro Marie Wyller, Marie Syre Wiig, Ida Due-Sorensen, Rune Sondena\",
\"Reference\": \"G. Wyller et al., IEEE J. Photovoltaics, vol. 11, no. 4, pp. 878-889, 2021, doi: 10.1109/JPHOTOV.2021.3078367.\",
\"KeyWords\": \"p-type mc-Si Perc, Degradation, LeTID, Hydrogen Involvement\",
\"Material\": \"p-type mc-Si Perc\",
\"Degradation\": \"LeTID\",
\"Comments\": \"wafer_180micron\",
\"EquationType\": \"LeTID\",
\"v_ab\": {
\"value\": 1900000000000,
\"units\": \"(cm^3x)/s\"
},
\"v_ba\": {
\"value\": 0,
\"units\": \"(cm^3x)/s\"
},
\"v_bc\": {
\"value\": 0.284,
\"units\": \"(cm^3x)/s\"
},
\"v_cb\": {
\"value\": 0,
\"units\": \"(cm^3x)/s\"
},
\"E_(a, ab)\": {
\"value\": 133.1584,
\"stdev\": 13.5088,
\"units\": \"kJ/mol\"
},
\"E_(a, ba)\": {
\"value\": 0,
\"units\": \"kJ/mol\"
},
\"E_(a, bc)\": {
\"value\": 54.0353,
\"stdev\": 11.579,
\"units\": \"kJ/mol\"
},
\"E_(a, cb)\": {
\"value\": 0,
\"units\": \"kJ/mol\"
},
\"x_ab\": {
\"value\": 1
},
\"x_ba\": {
\"value\": 1.7
},
\"x_bc\": {
\"value\": 1.2
}
}
D028:
    {
\"DataEntryPerson\": \"Weston Wall\",
\"DateEntered\": \"6/9/2023\",
\"DOI\": \"doi:10.1109/JPHOTOV.2021.3078368\",
\"SourceTitle\": \"The Influence of Minority Carrier Density on Degradation and Regeneration Kinetics in Multicrystalline Silicon Wafers\",
\"Authors\": \"Guro Marie Wyller, Marie Syre Wiig, Ida Due-Sorensen, Rune Sondena\",
\"Reference\": \"G. Wyller et al., IEEE J. Photovoltaics, vol. 11, no. 4, pp. 878-889, 2021, doi: 10.1109/JPHOTOV.2021.3078367.\",
\"KeyWords\": \"p-type mc-Si Perc, Degradation, LeTID, Hydrogen Involvement\",
\"Material\": \"p-type mc-Si Perc\",
\"Degradation\": \"LeTID\",
\"Comments\": \"wafer_200micron\",
\"EquationType\": \"LeTID\",
\"v_ab\": {
\"value\": 483000,
\"units\": \"(cm^3x)/s\"
},
\"v_ba\": {
\"value\": 0,
\"units\": \"(cm^3x)/s\"
},
\"v_bc\": {
\"value\": 0,
\"units\": \"(cm^3x)/s\"
},
\"v_cb\": {
\"value\": 0,
\"units\": \"(cm^3x)/s\"
},
\"E_(a, ab)\": {
\"value\": 64.0704,
\"units\": \"kJ/mol\"
},
\"E_(a, ba)\": {
\"value\": 0,
\"units\": \"kJ/mol\"
},
\"E_(a, bc)\": {
\"value\": 90.7986,
\"units\": \"kJ/mol\"
},
\"E_(a, cb)\": {
\"value\": 0,
\"units\": \"kJ/mol\"
},
\"x_ab\": {
\"value\": 1
},
\"x_ba\": {
\"value\": 1.7
},
\"x_bc\": {
\"value\": 1.2
}
}
D029:
    {
\"DataEntryPerson\": \"Weston Wall\",
\"DateEntered\": \"6/12/2023\",
\"DOI\": \"doi:10.1063/1.5123890\",
\"SourceTitle\": \"Determination of BO-LID and LeTID related activation energies in Cz-Si and FZ-Si using constant injection conditions\",
\"Authors\": \"Alexander Graf, Axel Herguth, Giso Hahn\",
\"Reference\": \"A. Graf, et al., AIP Conference Proceedings, vol. 2147, no. 1, p. 140003, 2019, doi: 10.1063/1.5123890.\",
\"KeyWords\": \"Si, Boron Doped, LeTID, Degradation\",
\"Material\": \"Si, CZ FZ grown\",
\"Degradation\": \"LeTID\",
\"Comments\": \"wafer_152micron\",
\"EquationType\": \"LeTID\",
\"v_ab\": {
\"value\": 483000,
\"units\": \"(cm^3x)/s\"
},
\"v_ba\": {
\"value\": 0,
\"units\": \"(cm^3x)/s\"
},
\"v_bc\": {
\"value\": 0,
\"units\": \"(cm^3x)/s\"
},
\"v_cb\": {
\"value\": 0,
\"units\": \"(cm^3x)/s\"
},
\"E_(a, ab)\": {
\"value\": 75.2364,
\"stdev\": 8.7,
\"units\": \"kJ/mol\"
},
\"E_(a, ba)\": {
\"value\": 0,
\"units\": \"kJ/mol\"
},
\"E_(a, bc)\": {
\"value\": 59.8248,
\"stdev\": 8.7,
\"units\": \"kJ/mol\"
},
\"E_(a, cb)\": {
\"value\": 0,
\"units\": \"kJ/mol\"
},
\"x_ab\": {
\"value\": 1
},
\"x_ba\": {
\"value\": 1.7
},
\"x_bc\": {
\"value\": 1.2
}
}
D030:
    {
\"DataEntryPerson\": \"Weston Wall\",
\"DateEntered\": \"6/15/2023\",
\"DOI\": \"10.1007/3-540-61218-1_6\",
\"SourceTitle\": \"Wavelength sensitivity in polymer photodegradation\",
\"Authors\": \"Anthony L Andrady\",
\"Reference\": \"Andrady, A.L. (1997). Wavelength sensitivity in polymer photodegradation. In: Polymer Analysis Polymer Physics. Advances in Polymer Science, vol 128. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-61218-1_6\",
\"KeyWords\": \"Photodegradation, Vinyl Chloride, Activation Spectrum, Action Spectrum\",
\"Material\": \"Naturally Occuring Polymers, Synthetic Polymers\",
\"Degradation\": \"Photodegradation\",
\"EquationType\": \"Activation Spectrum\",
\"Equation\": \"Activation Spectrum={E_L}\\\\cdot R_0\\\\cdot e^{\\\\left( -B_g\\\\cdot \\u00ce\\u00bb \\\\right)}\",
\"E_L\": {},
\"R_0\": {},
\"B_g\": {},
\"L\": {}
}
D031:
    {
\"DataEntryPerson\": \"Weston Wall\",
\"DateEntered\": \"6/16/2023\",
\"SourceTitle\": \"A Characterization of the Relationship Between Light Intensity and Degradation Rate for Weathering Durability\",
\"Authors\": \"Henry K. Hardcastle\",
\"KeyWords\": \"Durability, EMMA, Degradation Rate\",
\"Material\": \"Polycarbonate\",
\"Degradation\": \"Yellowness index\",
\"EquationType\": \"Arrhenius\",
\"Equation\": \"R_D=R_0\\\\cdot G_{340}^P\\\\cdot e^{ \\\\left( \\\\frac{-E_a}{R\\\\cdot T_K } \\\\right) }\",
\"R_D\": {
\"units\": \"YI/s\"
},
\"p\": {
\"value\": 0.89
},
\"E_a\": {
\"units\": \"kJ/mol\"
}
}
D032:
    {
\"DataEntryPerson\": \"Weston Wall\",
\"DateEntered\": \"6/16/2023\",
\"DOI\": \"10.4229/EUPVSEC20142014-5CO.5.4\",
\"SourceTitle\": \"PV AGING MODEL APPLIED TO SEVERAL METEOROLOGICAL CONDITIONS\",
\"Authors\": \"Beno\\u00c3\\u00aet Braisaz1 , Chlo\\u00c3\\u00a9 Duchayne, Mike Van Iseghem, Khalid Radouane\",
\"Reference\": \"Braisaz, B., et al. (2014). PV aging model applied to several meteorological conditions.\",
\"KeyWords\": \"Aging, Damp heat, Outdoor, PV modeling, Models, PV module, degradation rate, Activation Energy, PID, cracks, UV\",
\"Material\": \"Double Diode module\",
\"Degradation\": \"Damp Heat Corrosion Model\",
\"EquationType\": \"arrhenius\",
\"Equation\": \"R_D=R_0\\\\cdot RH^n\\\\cdot e^{ \\\\left( \\\\frac{-E_a}{R\\\\cdot T_K } \\\\right) }\",
\"R_D\": {},
\"R_0\": {},
\"n\": {
\"value\": 2
},
\"E_a\": {
\"value\": 127.3689,
\"units\": \"kJ/mol\"
}
}
D033:
    {
\"DataEntryPerson\": \"Weston Wall\",
\"DateEntered\": \"6/8/2023\",
\"DOI\": \"doi:10.1016/j.solmat.2017.08.007\",
\"SourceTitle\": \"Light-induced lifetime degradation in high-performance multicrystalline silicon: Detailed kinetics of the defect activation\",
\"Authors\": \"Dennis Bredemeier, Dominic Walter, Jan Schmidt\",
\"Reference\": \"D. Bredemeier et al., Sol. Energy Mater. Sol. Cells, vol. 173, pp. 2-5, 2017, doi: 10.1016/j.solmat.2017.08.007.\",
\"KeyWords\": \"multi-Si, LeTID, \",
\"Material\": \"multi-Si\",
\"Degradation\": \"LeTID\",
\"Comments\": \"ab158micronwafer_bc200microncell\",
\"EquationType\": \"LeTID\",
\"x_ab\": {
\"value\": 1
}
}
D034:
    {
\"DataEntryPerson\": \"Weston Wall\",
\"DateEntered\": \"6/9/2023\",
\"DOI\": \"doi:10.1109/JPHOTOV.2021.3078368\",
\"SourceTitle\": \"The Influence of Minority Carrier Density on Degradation and Regeneration Kinetics in Multicrystalline Silicon Wafers\",
\"Authors\": \"Guro Marie Wyller, Marie Syre Wiig, Ida Due-S\\u00c3\\u00b8rensen, Rune S\\u00c3\\u00b8nden\\u00c3\\u00a5\",
\"Reference\": \"G. Wyller et al., IEEE J. Photovoltaics, vol. 11, no. 4, pp. 878-889, 2021, doi: 10.1109/JPHOTOV.2021.3078367.\",
\"KeyWords\": \"p-type mc-Si Perc, Degradation, LeTID, Hydrogen Involvement\",
\"Material\": \"p-type mc-Si Perc\",
\"Degradation\": \"LeTID\",
\"Comments\": \"wafer_200micron\",
\"EquationType\": \"LeTID\",
\"x_bc\": {
\"value\": 1.2
}
}
D035:
    {
\"DataEntryPerson\": \"Weston Wall\",
\"DateEntered\": \"5/26/2023\",
\"DOI\": \"doi:10.1109/JPHOTOV.2020.3025240\",
\"SourceTitle\": \"Temporary Recovery of the Defect Responsible for Light- and Elevated Temperature-Induced Degradation: Insights Into the Physical Mechanisms Behind LeTID\",
\"Authors\": \"Wolfram Kwapil, Jonas Sch\\u00c3\\u00b6n, Tim Niewelt, and Martin C. Schubert\",
\"Reference\": \"W. Kwapil et al., IEEE J. Photovoltaics, vol. 10, no. 6, pp. 1591-1603, 2020, doi: 10.1109/JPHOTOV.2020.3025240.\",
\"KeyWords\": \"Degradation, Defect reactions, light- and elevated temperature-induced degradation, LeTID, model, silicon defects.\",
\"Material\": \"mc-Si cells\",
\"Degradation\": \"LeTID\",
\"Comments\": \"Cell_200Micron\",
\"EquationType\": \"LeTID\",
\"x_ba\": {
\"value\": 1.7
}
}
D036:
    {
\"DataEntryPerson\": \"Michael Kempe\",
\"DateEntered\": \"2/14/2025\",
\"DOI\": \"10.1109/PVSC45281.2020.9300357\",
\"SourceTitle\": \"Highly Accelerated UV Stress Testing for Transparent Flexible Frontsheets\",
\"Authors\": \"Michael D Kempe, Peter Hacke, Joshua Morse, Michael Owen-Bellini, Derek Holsapple, Trevor Lockman, Samantha Hoang, David Okawa, Tamir Lance, Hoi Hong Ng\",
\"Reference\": \"Kempe, M. D., et al. (2020). Highly Accelerated UV Stress Testing for Transparent Flexible Frontsheets. 2020 47th IEEE Photovoltaic Specialists Conference (PVSC).\",
\"KeyWords\": \"Humidity, Irradiance, reciprocity\",
\"Material\": \"Flexible Frontsheet, Frontsheet Coatings\",
\"Degradation\": \"UV Cut On, UV Transmittance 310nm-350nm, Yellowness index, SPQEWT\",
\"EquationType\": \"arrhenius\",
\"Equation\": \"R_D=R_0\\\\cdot RH^n\\\\cdot G_{340}^P\\\\cdot e^{ \\\\left( \\\\frac{-E_a}{R\\\\cdot T_K } \\\\right) }\",
\"R_D\": {
\"units\": \"%/h\"
},
\"R_0\": {
\"units\": \"%/h\"
},
\"E_a\": {
\"value\": 38.7,
\"stdev\": 21.7,
\"units\": \"kJ/mol\"
},
\"n\": {},
\"p\": {
\"value\": 0.49,
\"stdev\": 0.22
},
\"Corr-E_a-P\": {
\"value\": -0.606
}
}
\n" - ] } ], "source": [ @@ -472,45 +2156,45 @@ }, { "cell_type": "code", - "execution_count": 12, - "metadata": { - "execution": { - "iopub.execute_input": "2025-10-04T11:18:58.678831Z", - "iopub.status.busy": "2025-10-04T11:18:58.678574Z", - "iopub.status.idle": "2025-10-04T11:18:58.684303Z", - "shell.execute_reply": "2025-10-04T11:18:58.683815Z" - } - }, + "execution_count": null, + "metadata": {}, "outputs": [ { - "data": { - "text/plain": [ - "{'DataEntryPerson': 'Michael Kempe',\n", - " 'DateEntered': '2/14/2025',\n", - " 'DOI': '10.1109/PVSC45281.2020.9300357',\n", - " 'SourceTitle': 'Highly Accelerated UV Stress Testing for Transparent Flexible Frontsheets',\n", - " 'Authors': 'Michael D Kempe, Peter Hacke, Joshua Morse, Michael Owen-Bellini, Derek Holsapple, Trevor Lockman, Samantha Hoang, David Okawa, Tamir Lance, Hoi Hong Ng',\n", - " 'Reference': 'Kempe, M. D., et al. (2020). Highly Accelerated UV Stress Testing for Transparent Flexible Frontsheets. 2020 47th IEEE Photovoltaic Specialists Conference (PVSC).',\n", - " 'KeyWords': 'Humidity, Irradiance, reciprocity',\n", - " 'Material': 'Flexible Frontsheet, Frontsheet Coatings',\n", - " 'Degradation': 'UV Cut On, UV Transmittance 310nm-350nm, Yellowness index, SPQEWT',\n", - " 'EquationType': 'arrhenius',\n", - " 'Equation': 'R_D=R_0\\\\cdot RH^n\\\\cdot G_{340}^P\\\\cdot e^{ \\\\left( \\\\frac{-E_a}{R\\\\cdot T_K } \\\\right) }',\n", - " 'R_D': {'units': '%/h'},\n", - " 'R_0': {'units': '%/h'},\n", - " 'E_a': {'value': 38.7, 'stdev': 21.7, 'units': 'kJ/mol'},\n", - " 'n': {},\n", - " 'p': {'value': 0.49, 'stdev': 0.22},\n", - " 'Corr-E_a-P': {'value': -0.606}}" - ] - }, - "metadata": {}, - "output_type": "display_data" + "name": "stdout", + "output_type": "stream", + "text": [ + "{\"DataEntryPerson\": \"Michael Kempe\",\n", + "\"DateEntered\": \"2/14/2025\",\n", + "\"DOI\": \"10.1109/PVSC45281.2020.9300357\",\n", + "\"SourceTitle\": \"Highly Accelerated UV Stress Testing for Transparent Flexible Frontsheets\",\n", + "\"Authors\": \"Michael D Kempe, Peter Hacke, Joshua Morse, Michael Owen-Bellini, Derek Holsapple, Trevor Lockman, Samantha Hoang, David Okawa, Tamir Lance, Hoi Hong Ng\",\n", + "\"Reference\": \"Kempe, M. D., et al. (2020). Highly Accelerated UV Stress Testing for Transparent Flexible Frontsheets. 2020 47th IEEE Photovoltaic Specialists Conference (PVSC).\",\n", + "\"KeyWords\": \"Humidity, Irradiance, reciprocity\",\n", + "\"Material\": \"Flexible Frontsheet, Frontsheet Coatings\",\n", + "\"Degradation\": \"UV Cut On, UV Transmittance 310nm-350nm, Yellowness index, SPQEWT\",\n", + "\"EquationType\": \"arrhenius\",\n", + "\"Equation\": \"R_D=R_0\\\\cdot RH^n\\\\cdot G_{340}^P\\\\cdot e^{ \\\\left( \\\\frac{-E_a}{R\\\\cdot T_K } \\\\right) }\",\n", + "\"R_D\":\n", + "{\"units\": \"%/h\"},\n", + "\"R_0\":\n", + "{\"units\": \"%/h\"},\n", + "\"E_a\":\n", + "{\"value\": 38.7,\n", + "\"stdev\": 21.7,\n", + "\"units\": \"kJ/mol\"},\n", + "\"n\":\n", + "{},\n", + "\"p\":\n", + "{\"value\": 0.49,\n", + "\"stdev\": 0.22},\n", + "\"Corr-E_a-P\":\n", + "{\"value\": -0.606}}\n" + ] } ], "source": [ "deg_data = pvdeg.utilities.read_material(fp=DATA_DIR, key=\"D036\", pvdeg_file=\"DegradationDatabase\")\n", - "display(deg_data)" + "print(json.dumps(deg_data, skipkeys = True, indent = 0 ).replace(\"{\" + \"\\n\", \"{\").replace('\\\"' + \"\\n\", \"\\\"\").replace(': {' , ':' + \"\\n\" + \"{\").replace('\\n'+'}', '}'))" ] }, { @@ -522,15 +2206,8 @@ }, { "cell_type": "code", - "execution_count": 13, - "metadata": { - "execution": { - "iopub.execute_input": "2025-10-04T11:18:58.686553Z", - "iopub.status.busy": "2025-10-04T11:18:58.686319Z", - "iopub.status.idle": "2025-10-04T11:18:58.691444Z", - "shell.execute_reply": "2025-10-04T11:18:58.690892Z" - } - }, + "execution_count": null, + "metadata": {}, "outputs": [ { "name": "stdout", @@ -569,15 +2246,8 @@ }, { "cell_type": "code", - "execution_count": 14, - "metadata": { - "execution": { - "iopub.execute_input": "2025-10-04T11:18:58.694168Z", - "iopub.status.busy": "2025-10-04T11:18:58.693810Z", - "iopub.status.idle": "2025-10-04T11:18:58.717325Z", - "shell.execute_reply": "2025-10-04T11:18:58.716579Z" - } - }, + "execution_count": null, + "metadata": {}, "outputs": [ { "data": { @@ -726,7 +2396,7 @@ "name": "stdout", "output_type": "stream", "text": [ - "C:\\Users\\mspringe\\OneDrive - NREL\\msp\\projects\\2023_DegradationTools\\Github\\PVDegradationTools\\tests\\data\\spectra_pytest.csv\n" + "C:\\Users\\mkempe\\Documents\\GitHub\\new\\PVDegradationTools\\tests\\data\\spectra_pytest.csv\n" ] } ], @@ -735,7 +2405,8 @@ "INPUT_SPECTRA = os.path.join(TEST_DATA_DIR, r\"spectra_pytest.csv\")\n", "data = pd.read_csv(INPUT_SPECTRA)\n", "display(data)\n", - "print(INPUT_SPECTRA)\n" + "print(INPUT_SPECTRA)\n", + "\n" ] }, { @@ -746,11 +2417,225 @@ "source": [ "\n" ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## 3. VantHoff Degradation\n", + "\n", + "Van 't Hoff Irradiance Degradation\n", + "\n", + "For one year of degredation the controlled environmnet lamp settings will need to be set to IWa.\n", + "\n", + "As with most `pvdeg` functions, the following functions will always require two arguments (weather_df and meta)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## 4. Arrhenius\n", + "Calculate the Acceleration Factor between the rate of degredation of a modeled environmnet versus a modeled controlled environmnet\n", + "\n", + "Example: \"If the AF=25 then 1 year of Controlled Environment exposure is equal to 25 years in the field\"\n", + "\n", + "Equation:\n", + "$$ AF = N * \\frac{ I_{chamber}^x * RH_{chamber}^n * e^{\\frac{- E_a}{k T_{chamber}}} }{ \\Sigma (I_{POA}^x * RH_{outdoor}^n * e^{\\frac{-E_a}{k T_outdoor}}) }$$\n", + "\n", + "Function to calculate IWa, the Environment Characterization (W/m²). For one year of degredation the controlled environmnet lamp settings will need to be set at IWa.\n", + "\n", + "Equation:\n", + "$$ I_{WA} = [ \\frac{ \\Sigma (I_{outdoor}^x * RH_{outdoor}^n e^{\\frac{-E_a}{k T_{outdood}}}) }{ N * RH_{WA}^n * e^{- \\frac{E_a}{k T_eq}} } ]^{\\frac{1}{x}} $$" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "# relative humidity within chamber (%)\n", + "rh_chamber = 15\n", + "# arrhenius activation energy (kj/mol)\n", + "Ea = 40\n", + "I_chamber = 1000 # irradiance within chamber (W/m^2)\n", + "temp_chamber = 25 # temperature within chamber (C)\n", + "\n", + "rh_surface = pvdeg.humidity.surface_relative(rh_ambient=weather_df['relative_humidity'],\n", + " temp_ambient=weather_df['temp_air'],\n", + " temp_module=temp_module)\n", + "\n", + "arrhenius_deg = pvdeg.degradation.arrhenius_deg(weather_df=weather_df, meta=meta,\n", + " rh_outdoor=rh_surface,\n", + " I_chamber=I_chamber,\n", + " rh_chamber=rh_chamber,\n", + " temp_chamber=temp_chamber,\n", + " poa=poa_df,\n", + " temp=temp_cell,\n", + " Ea=Ea)\n", + "\n", + "irr_weighted_avg_a = pvdeg.degradation.IwaArrhenius(weather_df=weather_df, meta=meta,\n", + " poa=poa_df,\n", + " rh_outdoor=weather_df['relative_humidity'],\n", + " temp=temp_cell,\n", + " Ea=Ea)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## 5. Quick Method (Degradation)\n", + "\n", + "For quick calculations, you can omit POA and both module and cell temperature. The function will calculate these figures as needed using the available weather data with the default options for PV module configuration." + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "The array surface_tilt angle was not provided, therefore the latitude of 33.4 was used.\n", + "The array azimuth was not provided, therefore an azimuth of 180.0 was used.\n", + "The array surface_tilt angle was not provided, therefore the latitude of 33.4 was used.\n", + "The array azimuth was not provided, therefore an azimuth of 180.0 was used.\n" + ] + } + ], + "source": [ + "# chamber settings\n", + "I_chamber= 1000\n", + "temp_chamber=60\n", + "rh_chamber=15\n", + "\n", + "# activation energy\n", + "Ea = 40\n", + "\n", + "vantHoff_deg = pvdeg.degradation.vantHoff_deg(weather_df=weather_df, meta=meta,\n", + " I_chamber=I_chamber,\n", + " temp_chamber=temp_chamber)\n", + "\n", + "irr_weighted_avg_v = pvdeg.degradation.IwaVantHoff(weather_df=weather_df, meta=meta)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "The array surface_tilt angle was not provided, therefore the latitude of 33.4 was used.\n", + "The array azimuth was not provided, therefore an azimuth of 180.0 was used.\n", + "The array surface_tilt angle was not provided, therefore the latitude of 33.4 was used.\n", + "The array azimuth was not provided, therefore an azimuth of 180.0 was used.\n" + ] + } + ], + "source": [ + "rh_surface = pvdeg.humidity.surface_relative(rh_ambient=weather_df['relative_humidity'],\n", + " temp_ambient=weather_df['temp_air'],\n", + " temp_module=temp_module)\n", + "\n", + "arrhenius_deg = pvdeg.degradation.arrhenius_deg(weather_df=weather_df, meta=meta,\n", + " rh_outdoor=rh_surface,\n", + " I_chamber=I_chamber,\n", + " rh_chamber=rh_chamber,\n", + " temp_chamber=temp_chamber,\n", + " Ea=Ea)\n", + "\n", + "irr_weighted_avg_a = pvdeg.degradation.IwaArrhenius(weather_df=weather_df, meta=meta,\n", + " rh_outdoor=weather_df['relative_humidity'],\n", + " Ea=Ea)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## 6. Solder Fatigue\n", + "\n", + "Estimate the thermomechanical fatigue of flat plate photovoltaic module solder joints over the time range given using estimated cell temperature. Like other `pvdeg` funcitons, the minimal parameters are (weather_df, meta). Running the function with only these two inputs will use default PV module configurations ( open_rack_glass_polymer ) and the 'sapm' temperature model over the entire length of the weather data. " + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "The array surface_tilt angle was not provided, therefore the latitude of 33.4 was used.\n", + "The array azimuth was not provided, therefore an azimuth of 180.0 was used.\n" + ] + } + ], + "source": [ + "fatigue = pvdeg.fatigue.solder_fatigue(weather_df=weather_df, meta=meta)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "If you wish to reduce the span of time or use a non-default temperature model, you may specify the parameters manually. Let's try an explicit example.\n", + "We want the solder fatigue estimated over the month of June for a roof mounted glass-front polymer-back module.\n", + "\n", + "1. Lets create a datetime-index for the month of June.\n", + "2. Next, generate the cell temperature. Make sure to explicity restrict the weather data to our dt-index for June. Next, declare the PV module configuration.\n", + "3. Calculate the fatigue. Explicity specify the time_range (our dt-index for June from step 1) and the cell temperature as we caculated in step 2" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "The array surface_tilt angle was not provided, therefore the latitude of 33.4 was used.\n", + "The array azimuth was not provided, therefore an azimuth of 180.0 was used.\n" + ] + } + ], + "source": [ + "# select the month of June\n", + "time_range = weather_df.index[weather_df.index.month == 6]\n", + "\n", + "# calculate cell temperature over our selected date-time range.\n", + "# specify the module configuration\n", + "temp_cell = pvdeg.temperature.cell(weather_df=weather_df.loc[time_range], meta=meta,\n", + " temp_model='sapm',\n", + " conf='insulated_back_glass_polymer')\n", + "\n", + "\n", + "fatigue = pvdeg.fatigue.solder_fatigue(weather_df=weather_df, meta=meta,\n", + " time_range = time_range,\n", + " temp_cell = temp_cell)" + ] } ], "metadata": { "kernelspec": { - "display_name": "pvdeg_313", + "display_name": "base", "language": "python", "name": "python3" }, @@ -764,7 +2649,7 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.12.9" + "version": "3.11.7" } }, "nbformat": 4,