WanRijin/paper-A_High-Accuracy_U-Net_Deep_Learning_Method_for_Identifying_TPI-software: WRJ-SPR-UNET V2.0

WRJ-SPR-UNET V2.0 ##usage Including software, data and references in Chinese of the paper of "A High-Accuracy U-Net Deep Learning Method for Identifying typhoon-induced precipitation" source: personal experiment ##file structure Software: sprY30Aies_H850H1H2TkaP13.ipynb (Python3.10.13) Data: All_preH8RnTrkaP13_9524.nc (predictor variables) All_obsRain9025.nc (labelling variable) Reference: REF REN Fumin-2001-A Numrical Technique For Partitioning Cyclone.pdf REF Wang Yong-mei-2006-The Study ont he Objective Technique for Partitioning.pdf