<p>This dataset contains data sets of manually and automatically observed snow cover characteristics from 6 super stations in typical snow cover areas in my country during the three snow cover seasons from 2017 to 2020. Among them, the manual observation data set includes daily snow depth, density, snow particle size, snow hardness, snow form and other data. Automatic observations include snow depth, snow water equivalent, snow albedo, liquid water content, snow density, wind temperature, pressure and other elements. <p>The six super stations are Altay Station, Tianshan Avalanche Station, Gande Station, Cuona Station, Heihe Station and Northeast Forest Station. Among them, the automatic observations and manual observations of each super station are stored in different folders annually. Among them, daily manual observation data are stored in a folder, which contains environmental photos, particle size photos, record forms and scanned files of the original record form. The automatic observation folder contains tables and data analysis charts for each observation instrument. <p>The dataset contains a total of 28 folders, 886 data tables, and a total of 974340 records. See the description document for the naming rules of the dataset, time range, and site latitude and longitude.
This dataset mainly comes from manual observations at meteorological stations and data from automatic observation instruments installed by various units.
The data processing process mainly includes site data collection, standardized organization, and abnormal value elimination.
The data quality control stage is divided into two steps: First, the data provider checks the integrity and accuracy of the data. The data integrity check mainly checks whether the time range and observation fields of the data at each station meet the project requirements. On the one hand, the data accuracy check determines and eliminates abnormal values through numerical illustration and manual experience. On the other hand, the data storage method and format are unified and standardized. The second stage is for different data providers to cross-check other data, 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 are stored in the data folder at the same time.
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CSTR:11738.11.ncdc.isnow.db2522.2022
10.12072/ncdc.I-SNOW.db0013.2021