Dataset for Multi-Task Learning for Simultaneous Retrievals of Passive Microwave Precipitation Estimates and Rain/No-Rain Classification

Dataset for Multi-Task Learning for "Simultaneous Retrievals of Passive Microwave Precipitation Estimates and Rain/No-Rain Classification". Global Precipitation Measurement (GPM) dual-frequency precipitation radar (DPR) and Goddard Profiling Algorithm (GPROF) were provided from NASA Global Precipitation Measurement Precipitation Data Directory (https://gpm.nasa.gov/data/directory). The original data used for this study have been supplied by JAXA’s GSMaP. The source code for preprocessing and model training is available at https://doi.org/10.5281/zenodo.7627112面向‘被动微波降水估算与雨/无雨分类同步反演’的多任务学习数据集。该数据集所用的全球降水测量（Global Precipitation Measurement, GPM）双频降水雷达（dual-frequency precipitation radar, DPR）数据与戈达德廓线反演算法（Goddard Profiling Algorithm, GPROF）结果，源自美国国家航空航天局（NASA）全球降水测量降水数据目录（https://gpm.nasa.gov/data/directory）。本研究使用的原始数据由日本宇宙航空研究开发机构（Japan Aerospace Exploration Agency, JAXA）的GSMaP提供。预处理及模型训练的源代码可在https://doi.org/10.5281/zenodo.7627112获取。