Question in calculating class labels for Table 3 in Paper

[kmualim]

Hi,

Thank you for releasing the code! I'm trying to reproduce the results in the paper and am wondering about the raw counts you've obtained in Table 3 of your paper.

Using the data provided here: https://extremeweatherdataset.github.io/?fbclid=IwAR12R2V5JZ8EbInNsnHazIcP5OMnhr_iiPkNjFzOHN_MRdjYCreUtxejDEo, I downloaded the 1979 and 1981 datasets and got the following class distribution.

1979 Dataset:
Tropical Cyclone: 0.442.738478, Total Count: 3190
Extra-Tropical Cyclones: 0.446.047696, Total Count: 3437
Tropical Depressions: 0.45.801179, Total Count: 433
United States Atmospheric Rivers: 0.45.412647, Total Count: 404

1984 Dataset:
Tropical Cyclone: 0.438.612004, Total Count: 2882
Extra-Tropical Cyclones: 0.444.386388, Total Count: 3313
Tropical Depressions: 0.49.338156, Total Count: 697
United States Atmospheric Rivers: 0.44.983923, Total Count: 372

All the values line up except for ETC where I got 3437 (1979 dataset) and 3313 (1984 dataset) while in the paper, it's 3510 (1979 dataset) and 3430 (1984 dataset)

-- is there a particular way you're calculating the numbers for ETC that would cause this discrepancy?

Thanks!

[eracah]

Hmmm interesting question. I believe I computed them using a metadata file and not the HDF5 files. The code I used for that is here: https://github.com/eracah/hur-detect/blob/master/notebooks/load_data/event_counter.ipynb

[eracah]

Lemme see if I can find that metadata file

[eracah]

Also, sorry for the late response and thanks for your interest! I apologize for the messy code and my fuzzy memory of this project! Let me know if you are still working on this and if you need any help

[kmualim]

Hi yes, thank you for the response! Would you happen to also have the model weights available? :-)