%0 Dataset
%T Daily soil temperature data set of typical farmland areas in Northeast China in spring (2017-2020)
%J National Cryosphere Desert Data Center
%I National Cryosphere Desert Data Center(www.ncdc.ac.cn)
%U http://www.ncdc.ac.cn/portal/metadata/cbd65373-f70f-471c-b5e0-2c5696b4a2cc
%W NCDC
%R 10.12072/ncdc.I-SNOW.db1662.2022
%A None
%A Li Xiaofeng
%A None
%A Wei yanlin
%A None
%K Typical farmland area in Northeast China;affected by snow cover;soil temperature in spring
%X <pre><code>                    <pre><code>                                                                                                                                                                                                                                                                    This data set is aimed at typical farmland areas in Jilin Province, mainly including Changchun City, Songyuan City, Baicheng city and Siping City in Jilin Province, based on the 1-hour step length and 10km from February 1 to March 20, 2017-2020 × Based on the era5 data set with a resolution of 10km (including shallow soil temperature data and snow depth data) and the longitude and latitude information corresponding to each grid in the data set, the daily soil temperature data set in spring in typical farmland areas in Northeast China from 2017 to 2020 was prepared by using multiple linear regression analysis. Firstly, the shallow soil temperature data and snow depth data in one hour steps are processed into daily average data sets by MATLAB software programming, and then the relationship between the measured soil temperature data of meteorological stations in 2017-2018 and the shallow soil temperature data, snow depth data, longitude information and latitude information of products is determined by multiple linear regression analysis in mathematical statistics, The fitting model of daily shallow soil temperature (0-10cm) in spring in typical farmland area of Northeast China is obtained. The shallow soil temperature fitting model is verified by using the measured soil temperature data of the station in 2019, which shows that the result has high simulation accuracy (RMSE = 1.6 ℃). Finally, 10km from 2017 to 2020 is obtained according to the constructed shallow soil temperature fitting model × Soil temperature data set of 0 – 10cm day by day in spring (February 1 – March 20) in typical farmland area of Northeast China with a resoluti