Snow is an important water resource. This data is based on high spatial resolution monthly scale precipitation and temperature data as input. The degree day factor model is used to calculate the amount of snow melting water. The model output is validated by snowfall, snow depth, snow coverage, and snow water equivalent. High spatial resolution (0.5 ', approximately 1km) monthly scale snow melting water data from 1951 to 2020 in China was obtained. The geographic spatial range included in the dataset is the main land of China, excluding areas such as islands and reefs in the South China Sea. This dataset is stored in an NC file format, with the file naming method being snowmelt_ Year, year represents the year
The precipitation and temperature data from 1951 to 2017 were obtained from https://zenodo.org/record/3114194 and https://zenodo.org/record/3185722 ; Precipitation and temperature data from 2018 to 2020 from the National Earth System Science Data Center http://www.geodata.cn/
1) Obtain snowfall using the rain snow separation coefficient;
2) Construct a monthly scale snowmelt day factor model.
The specific process can be found in the references.
Use the model to output intermediate variables such as snowfall, snow depth, snow cover range, and snow water equivalent for validation. Out of 457 sites, 315 sites have snow verification R2> 0.4; Out of 264 sites, 108 sites have snow depth verification R2> 0.2; The R2 values for snow cover verification in the national and three stable snow cover areas (North Xinjiang, Northeast China, and Qinghai Tibet Plateau) are 0.93, 0.81, 0.93, and 0.90, respectively; The R2 values for snow water equivalent validation are 0.62, 0.67, 0.76, and 0.25, respectively
| # | number | name | type |
| 1 | 2019YFC1510505 | Research and development and demonstration of decision support and prevention and control system for snowmelt flood forecasting | National key R & D plan |
| 2 | 2021kf09 | other |
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CSTR:11738.11.ncdc.NIEER.db2387.2022
10.12072/ncdc.NIEER.db2387.2022