In this paper, the high spatial-temporal resolution ground meteorological element driven data set of China from 1980 to 2014 is used. This data is a multi-source fusion grid data set provided by the Institute of Qinghai-Tibet Plateau, Chinese Academy of Sciences.

The verification data are the historical data set of snow cover in China (2008-2019) collected and sorted by the project and the snow cover characteristics data of this ground survey (2017-2020).

                                                                       <p>This atlas applies the national surface meteorological driving grid data set with high spatial and temporal resolution from 1979 to 2014 (10km × 10km), extract the winter atmospheric temperature, precipitation and near-surface wind speed information in China through MATLAB software programming, and use the binary tree seasonal snow cover classification system proposed by Sturm et al. (1995) to divide the snow cover types in China. In the binary tree system, in order to determine the critical values of winter atmospheric temperature, precipitation and wind speed in the meteorological parameters used for classification, As well as the joint effect of winter temperature and duration, the index of winter temperature and duration - monthly cold degree (CDM) is defined as the index of temperature division, as shown in equation (1).

Where: m is the month of the year (1-12). Is the monthly average atmospheric temperature, is the critical temperature. When the monthly average temperature is greater than or equal to the critical temperature, the monthly cooling is 0; When the monthly average temperature is less than the critical temperature, the monthly cooling is the cumulative value of the difference between the two. The higher the monthly cooling value, the lower the atmospheric temperature in winter. The critical value is determined as the temperature that the local snow can exist, and the winter month is defined by the critical value. Based on the selected meteorological threshold, the classification map of snow cover types in China is obtained by using the SHL snow cover classification method, and then the classification results are filtered, smoothed, and small isolated areas are removed. Finally, the snow cover classification map of Sturm-Holmgren-Liston system in China is obtained, and then the thematic map of the data set is drawn by using ArcGIS software.

Data quality control: compared with 0.5 ° plotted by Sturm et al × 0.5 ° classification map of snow cover types in the northern hemisphere. The results of this atlas have been significantly improved in spatial resolution, with a spatial resolution of 10km × 10km, there is a more detailed division of snow cover types in space, especially in the Taklimakan Desert region of Xinjiang. The global snow cover classification results of Jiji Sturm et al. (1995) show that it is prairie type snow cover. The snow cover type of this atlas data is instantaneous type snow cover, which is more in line with the actual situation.