v0.1.0 - Delta Method 2025

Release: Adaptation Atlas Hazards – Delta Method

This release provides the code used to generate the Adaptation Atlas climate hazards dataset using the bias-corrected delta method applied to CMIP6 projections.

Dataset overview

• Spatial resolution: 0.05° (~5 km at the equator)

• Temporal coverage: 2021–2100, aggregated into four periods
  (2021–2040, 2041–2060, 2061–2080, 2081–2100)

• Scenarios: SSP1-2.6, SSP2-4.5, SSP3-7.0, SSP5-8.5

• Global Climate Models:

  • ACCESS-ESM1-5
  • EC-Earth3
  • INM-CM5-0
  • MPI-ESM1-2-HR
  • MRI-ESM2-0

• Includes individual GCM outputs and the multi-model ensemble mean

• Daily variables used: minimum and maximum temperature, precipitation, solar radiation, and relative humidity
  (r1i1p1f1 ensemble member)

Hazard indices included

Drought stress

• NDD – Number of dry days
• NDWS – Number of soil moisture stress days
• TAI – Thornthwaite’s aridity index

Heat stress

• NTx35 – Crop heat stress days (Tmax > 35 °C)
• NTx40 – Extreme crop heat stress days (Tmax > 40 °C)
• HSM_NTx35 – Heat stress days for maize during the growing season
• HSH – Human heat stress index
• THI – Cattle thermal humidity index

Waterlogging and flooding

• NDWL0 – Days with soil waterlogging at saturation or above
• NDWL50 – Days with soil waterlogging between field capacity and saturation

Notes

• Future daily climate data are generated by applying monthly deltas to historical observations, preserving observed daily variability.
• Additional QA/QC checks were applied to ensure consistency across delta, monthly, and daily products.
• Data are available internally on the EiA server and via Atlas STAC catalog and AWS S3 bucket

v0.1.0 - NEX-GDDP 2025

Release: Adaptation Atlas Hazards – Delta Method

This release provides the code used to generate the Adaptation Atlas climate hazards dataset using the NASA NEX-GDDP CMIP6 projections.

Dataset overview

• Spatial resolution: 0.25°

• Temporal coverage: 2021–2100, aggregated into four periods
  (2021–2040, 2041–2060, 2061–2080, 2081–2100)

• Scenarios: SSP1-2.6, SSP2-4.5, SSP3-7.0, SSP5-8.5

• Global Climate Models:

  • ACCESS-CM2,
  • ACCESS-ESM1-5
  • CMCC-ESM2
  • CanESM5
  • EC-Earth3
  • EC-Earth3-Veg-LR
  • GFDL-ESM4
  • INM-CM4-8
  • INM-CM5-0
  • IPSL-CM6A-LR
  • KACE-1-0-G
  • MIROC6
  • MPI-ESM1-2-HR
  • MPI-ESM1-2-LR
  • MRI-ESM2-0
  • NorESM2-LM
  • NorESM2-MM,
  • TaiESM1

• Includes individual GCM outputs and the multi-model ensemble mean

• Daily variables used: minimum and maximum temperature, precipitation, solar radiation, and relative humidity
  (r1i1p1f1 ensemble member)

Hazard indices included

Drought stress

• NDD – Number of dry days
• NDWS – Number of soil moisture stress days
• TAI – Thornthwaite’s aridity index

Heat stress

• NTx35 – Crop heat stress days (Tmax > 35 °C)
• NTx40 – Extreme crop heat stress days (Tmax > 40 °C)
• HSM_NTx35 – Heat stress days for maize during the growing season
• HSH – Human heat stress index
• THI – Cattle thermal humidity index

Waterlogging and flooding

• NDWL0 – Days with soil waterlogging at saturation or above
• NDWL50 – Days with soil waterlogging between field capacity and saturation

Notes

• Future daily climate data are generated by applying monthly deltas to historical observations, preserving observed daily variability.
• Additional QA/QC checks were applied to ensure consistency across delta, monthly, and daily products.
• Data are available internally on the EiA server and via Atlas STAC catalog and AWS S3 bucket