%0 Dataset
%T Daily 500m Snow Water Equivalent Product in China (1980–2020)
%J National Cryosphere Desert Data Center
%I National Cryosphere Desert Data Center(www.ncdc.ac.cn)
%U http://www.ncdc.ac.cn/portal/metadata/a826c5f9-8613-48b1-a062-04b94a35c4f1
%W NCDC
%A Huang Xiaodong
%A Li Yuxin
%K Snow water equivalent
%X Snow Water Equivalent (SWE) is a key parameter for evaluating snow hydrology, climate regulation, and water resource management. For China's snow-covered regions, a refined SWE downscaling model was developed by integrating multi-source remote sensing data with machine learning downscaling techniques. This model comprehensively considers environmental factors influencing snow distribution, including snow extent, topography, and geographic location, to generate a daily 500m SWE dataset covering 1980–2020. The accuracy of the SWE product was validated using ground observation station data, yielding an R=0.83 and RMSE=10.98 mm. The dataset is stored in .tif format with a daily temporal resolution and 500m spatial resolution.