Supplementary data for "Satellite Residual-Convolutional Neural Network Heating (Res_CNNH) Algorithm for Retrieving Latent Heat between Rain Top and Cloud Top"

This dataset is the supplementary data for "Satellite Residual-Convolutional Neural Network Heating (Res_CNNH) Algorithm for Retrieving Latent Heat between Rain Top and Cloud Top". The dataset contains Res_CNNH and CNNH retrievals of WRF and GPM DPR, CTH from Himawari-8 satellite. This work utilized the Advanced Research WRF model Version 3.4 to perform cloud simulations in the study area (31°N - 51°N,107°E - 131°E). The WRF model simulation used two nested domains, with internal and external spatial resolutions of 3km and 9km, respectively, and the output data have a total of 55 vertical layers (vertical resolution is 0.25km below 5km). LH at each layer was derived from the calculations of water phase transition among associated hydrometeors based on WRF standard outputs. Contact: For further questions please contact Xuanye Xu ([e-mail]).