<p>This dataset contains snow depth, air temperature and snow pressure data from 21 500-meter snow cover quadrants in three snow cover seasons from 2017 to 2020 in typical snow cover areas in my country. Snow cover sample data are mainly collected in Xinjiang, Qinghai and Northeast China. <p>The dataset contains 21 folders, 21 data tables, and a total of 945 records. The spline data also includes a spline point distribution diagram and a spline point vector diagram (shp or kmz format). <p>See the description document for the naming rules of the dataset, time range, and site latitude and longitude.
This dataset is field data obtained from autonomous observation.
The data sets come from field observation data from various units. The latitude, longitude and elevation information in the sample data comes from handheld GPS. Snow depth and snow pressure data come from measuring scales and snow cylinders respectively. Snow depth data is the average of three measurements. Snow pressure data is obtained by manually weighing a certain volume of snow contained in a snow cylinder. Density data is obtained by dividing snow pressure and snow depth data.
The data quality control stage is divided into two steps:
First, the data provider checked the integrity and accuracy of the data. The data integrity check mainly checks whether the number of observation points and observation fields within the data square meet the project requirements. On the one hand, the data accuracy check determines and eliminates abnormal values through numerical illustrations, and on the other hand, it unifies and standardizes the data storage method and data format. The second stage is for the data provider to cross-check data from other groups, review the integrity and accuracy of the data again, and integrate data from different regions. Among them, the data self-test table and data analysis chart for data quality control are stored in the data set folder.
Finally, the various square data are integrated to obtain a complete, accurate and consistent 500m square data set.
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CSTR:11738.11.ncdc.isnow.db2492.2022
10.12072/ncdc.I-SNOW.db0012.2021