2017–2020年东北典型农田区积雪水热效应数据集

A dataset of hydrothermal effect of snow cover in typical farmland of Northeast China from 2017 to 2020

积雪可以改变土壤水热平衡,进而对春耕产生影响。因此,了解积雪对于农业生产的影响至关重要。本数据集包括两部分:(1)基于东北典型农田区进行不同积雪覆盖厚度下土壤温湿度的变化观测,形成2017–2019年积雪–土壤水热地面观测数据集;(2)基于农业气象站实测的土壤温湿度数据和ERA5数据(包括浅层土壤温湿度数据、雪深数据),利用多元线性回归构建经验模型,形成了空间分辨率为10 km×10 km的积雪影响下的2017–2020年东北典型农田区(吉林西部)春季(2月1日–3月20日)逐日土壤温、湿度模拟数据集。此外,采用吉林西部66个农业气象站实测数据对模拟数据集的温度和湿度进行验证,均方根误差(RMSE)分别为1.6℃和0.04 m^(3) m^(-3)。本数据可为探究积雪对东北农田水热影响提供数据支撑。

Snow cover can change soil hydrothermal balance,which further affects spring planting.Therefore,it is crucial to understand the effect of snow cover on agricultural production.This dataset is composed of two parts.First,based on the soil temperature and humidity variation observations in terms of different snow cover thicknesses in typical farmland areas in Northeast China to form,we formed a snow-soil hydrothermal ground observation dataset for 2017-2019;second,based on the soil temperature and humidity data measured by agricultural weather stations and ERA5 data(including near-surface soil temperature and humidity and snow depth),we used the multiple linear regression to construct the empirical model,so as to produce the daily soil temperature and soil moisture dataset of typical farmland in Northeast China in spring(February 1st–March 20st)from 2017 to 2020 under the influence of snow cover with a spatial resolution of 10 km×10 km.The accuracy of simulated soil temperature and humidity has been verified by using the in-situ data of 66 agricultural weather stations,with RMSE of 1.6℃ and 0.04 m^(3) m^(-3),respectively.This dataset can provide data support for the study on the effect of snow on soil temperature and humidity in the northeast farmland area.