Datasets and Codes for MMamba

This database contains the MWSID dataset we generated and the core codes of MMamba. The MWSID dataset includes:- Train input set: x1.npy- Test input set: x2.npy- Train label set: y1.npy- Test label set: y2.npy - Train info: info1.npy- Test info: info2.npy For details on each sub-dataset (data channels, dimensions, etc.), refer to Data introduction.txt. The core code is in codes.zip. After extraction:- In the get_dataset folder, run get_dataloader.py to access MWSID sub-datasets. Other codes in this folder are for generating the sub-datasets.- The models folder has core code for comparison models.- In the mmamba folder, mmamba.py is our model's core code, params_flops.py calculates model complexity, get_MI.py computes mutual information, and the rest are support files. Note: The database includes a table Dates of MWSID.png, showing the 230-day sampling period for MWSID. These days were chosen as there was at least one complete hurricane observed globally each day. MWSID integrates five observational datasets and a forecast dataset:- SMAP: https://data.remss.com/smap/wind/L3/v01.0/daily/FINAL/- AMSR2: https://data.remss.com/amsr2/ocean/L3/v08.2/daily/- ASCAT-A: https://data.remss.com/ascat/metopa/bmaps_v02.1/- ASCAT-B: https://data.remss.com/ascat/metopb/bmaps_v02.1/- ASCAT-C: https://data.remss.com/ascat/metopc/bmaps_v02.1/ - NCEP GFS: https://rda.ucar.edu/datasets/d084001/ (DOI: 10.5065/D65D8PWK)