A GANs-based Deep Learning Framework for Calculating Climatological Monthly Rainfall Erosivity
收藏DataCite Commons2026-04-14 更新2026-05-04 收录
下载链接：
https://data.mendeley.com/datasets/8xpkgykg2m
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资源简介：
This dataset provides the deep learning source code for calculating climatological monthly rainfall erosivity based on GANs, along with the optimal pre-trained rainfall erosivity model. Additionally, it includes the model-predicted rainfall erosivity data for mainland China at a 1km resolution under three climate scenarios (SSP1.RCP1.9, SSP2.RCP4.5, and SSP5.RCP8.5) across two future climate periods (2041-2070 and 2071-2100). The model code heavily references the pix2pixhd code (https://github.com/NVIDIA/pix2pixHD). The attention mechanism reference code can be found at EMA (https://github.com/YOLOonMe/EMA-attention-module). The final data is based on this version.
提供机构：
Mendeley Data
创建时间：
2025-09-29
