TY  - Data
T1  - Spring soil moisture data under the influence of snow cover in typical agricultural areas in Northeast China from 2017 to 2020
A1  - Li Xiaofeng
DO  - 10.12072/ncdc.isnow.db2718.2023
PY  - 2023
DA  - 2023-01-25
PB  - National Cryosphere Desert Data Center
AB  - This data set is aimed at typical agricultural areas in Jilin Province, mainly including Changchun City, Songyuan City, Baicheng City, Siping City, Jilin Province. It uses the 1-hour step length and 10km from February 1, 2017 to March 20, 2020 × The ERA5 data set with 10km resolution (the main data elements include shallow soil temperature, snow depth, and shallow soil moisture) and the longitude and latitude information corresponding to each grid in the data set have been used to produce a thematic map of spring soil moisture under the influence of snow cover in typical agricultural areas in Northeast China from 2017 to 2020 using multiple linear regression analysis.Firstly, the one-hour step shallow soil temperature data, snow depth data and shallow soil moisture data are processed into daily average data sets by using MATLAB software. Then, according to the multiple linear regression analysis in mathematical statistics, determine the relationship between the measured soil moisture data of meteorological stations in 2017 – 2018 and the shallow soil temperature data, snow depth data, shallow soil moisture data, longitude information, latitude information, so as to obtain the daily 0-10cm soil moisture fitting model under the influence of snow cover in typical agricultural areas in the northeast.The soil moisture fitting model was verified by using the measured soil moisture data at the station in 2019, and the results showed that the model had high simulation accuracy (RMSE=0.04 m3/m3). Finally, 10km from 2017 to 2020 is obtained according to the construction of soil moisture fitting model × The thematic map data of soil moisture in spring (from February 1 to March 20) under the influence of snow cover in the typical farmland area in northeast China with a resolution of 10km. Data is fully open and shared.
DB  - NCDC
UR  - http://www.ncdc.ac.cn/portal/metadata/35681e7a-2d35-4021-98fa-941a3edea3e8
ER  -