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.
25km Snow Water Equivalent datasets: http://data.tpdc.ac.cn；
25km Snow Depth Products: http://data.tpdc.ac.cn；
5km MODIS、AVHRR Snow Cover Extent Products: http://www.ncdc.ac.cn；Ground
Observation: https://www.ncdc.ac.cn/portal/；
90m DEM：https://srtm.csi.cgiar.org
Based on 25 km snow water equivalent fusion products and snow depth products, a complete spatiotemporal dataset of 25 km snow water equivalent was reconstructed using temporal filtering techniques. A random forest downscaling model was developed by integrating ground observation references, optical remote sensing data, and environmental covariates to generate daily 500 m snow water equivalent data for China.
Good quality.
| # | number | name | type |
| 1 | 42471342 | Characteristics of snow drought on the Qinghai-Tibet Plateau and its impact on alpine grassland | National Natural Science Foundation of China |
| 2 | 2025CXZX-062 | Downscaling passive microwave snow depth inversion on the Qinghai-Tibet Platea | other |
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CSTR:11738.11.NCDC.LZU.DB6967.2025
10.12072/ncdc.lzu.db6967.2025