%0 Dataset
%T Daily snow water equivalent dataset at 25 km on the Arctic (1980-2024)
%J National Cryosphere Desert Data Center
%I National Cryosphere Desert Data Center(www.ncdc.ac.cn)
%U http://www.ncdc.ac.cn/portal/metadata/85c795fc-cfd8-43f5-a029-52328c17424c
%W NCDC
%R 10.12072/ncdc.arctic-change.db7145.2026
%A WU Tonghua
%K NDVI;long term;machine-learning;MODIS;GIMMS
%X Snow Water Equivalent (SWE) is a key indicator for the amount of water stored in snow, and also a crucial parameter in surface hydrological models and climate models. Aiming at addressing the existing issues of snow water equivalent, such as high cost of in-situ measurements, unstable accuracy of remote sensing products, and discontinuous spatiotemporal data. Based on machine learning algorithms, this project integrates multiple snow water equivalent products including AMSRE, ESAGB, GlobSnow, GLDAS, ERA5_Land, and SWEML. By adopting statistical reconstruction and data assimilation methods, it fuses and generates a daily-scale snow water equivalent product for the Arctic region (north of 66°34' North Latitude) from 1980 to 2024, with a spatial resolution of 25 km.​Verification results show that the dataset has good consistency with observations. The overall Root Mean Square Error (RMSE) is 18.5 mm, the mean bias is -7.45 mm, and most correlation coefficients exceed 0.85. This dataset can provide important data support for hydrological simulation in the Arctic and data assimilation in land surface process models.