%0 Dataset
%T Daily 500 m snow depth product in Tibetan Plateau from 1980 to 2022
%J National Cryosphere Desert Data Center
%I National Cryosphere Desert Data Center(www.ncdc.ac.cn)
%U http://www.ncdc.ac.cn/portal/metadata/430075e0-c6ec-4680-ba67-5bdc644edf0a
%W NCDC
%R 10.12072/ncdc.snow.db7636.2026
%A HUANG Xiaodong
%A ma ying
%K Deep snow;Tibetan Plateau
%X Snow depth (SD) is a key physical parameter describing snow cover conditions and provides essential information for snow hydrology, climate regulation, and water resource management. To overcome the coarse spatial resolution of conventional passive microwave snow depth products over the complex terrain of the Tibetan Plateau, a daily 500 m snow depth dataset was developed spanning 1980–2022 using multi-source remote sensing data fusion and a hybrid downscaling approach. The downscaling model incorporates key environmental variables controlling snow depth distribution, including snow cover extent, topographic factors, and geographic location.The dataset was systematically validated using ground-based meteorological observations with high spatial representativeness. It achieved a root mean square error (RMSE) of 2.75 cm, representing a 33.9% improvement over the original passive microwave product, while substantially reducing the overestimation of shallow snow.The dataset is provided in GeoTIFF format with a daily temporal resolution, 500 m spatial resolution, and complete coverage for 1980–2022.