中蒙俄经济走廊地区年降水量时空数据集(1982–2018,1-km/y)  

Spatial-temporal Annual Precipitation Dataset in the China–Mongolia–Russia Economic Corridor(1982–2018,1-km/y)

作　　者：李广帅 于灵雪[1] 刘廷祥 卜坤[1] 杨久春[1] 焦悦 包玉龙[4] 张树文[1] Li,G.S.;Yu,L.X.;Liu,T.X.;Bu,K.;Yang,J.C.;Jiao,Y.;Bao,Y.L.;Zhang,S.W.(Remote Sensing and Geographic Information Research Center,Northeast Institute of Geography and Agroecology,Chinese Academy of Sciences,Changchun 130102,China;School of Geography Science,Changchun Normal University,Changchun 130032,China;School of Life Science,Liaoning Normal University,Dalian 116081,China;School of Geography Science,Inner Mongolia Normal University,Hohhot 010022,China)

机构地区：[1]中国科学院东北地理与农业生态研究所遥感与地理信息研究中心,长春130102 [2]长春师范大学地理科学学院,长春130032 [3]辽宁师范大学生命科学学院,大连116081 [4]内蒙古师范大学地理科学学院,呼和浩特010022

出　　处：《全球变化数据学报（中英文）》2022年第3期425-432,V0425-V0432,共16页Journal of Global Change Data & Discovery

基　　金：中华人民共和国科学技术部(2017FY101301)。

摘　　要：对中蒙俄经济走廊地区近37年的降水进行空间插值分析,选取最优模型去生成1-km网络数据集,为中蒙俄经济走廊地区的经济发展、植被分布、气候变化和生态环境建设等的研究提供支持。基于中蒙俄经济走廊地区的353个气象站点的实测数据进行读取、合并、检查、统计空间插值批处理代码生成数据等操作,利用经度、纬度作为ANUSPLIN软件插值的变量,对降水进行开平方的预处理。采用薄盘光滑样条法得到了1982–2018年中蒙俄降水1-km网格插值数据集。采用相关系数(R2)验证插值结果与气象站点数据的相关性,R2为0.937,7。采用平均绝对误差(Mean Absolute Error,MAE)和均方根误差(Root Mean Square Error,RMSE)作为精度评价指标,MAE和RMSE平均值分别为4.546,4 mm、2.305,7 mm。数据集包括:1982–2018年各年的年平均降水栅格数据。数据集存储为.tif格式,空间分辨率为1 km,由185个数据文件组成,数据量为5.43 GB。本栅格数据集在精准度和时间序列上较新且公开共享和下载服务,可为中蒙俄国际走廊地区陆地生态系统、时空变化等方面的研究提供数据支持。A spatial interpolation analysis of precipitation in the China–Mongolia–Russia Economic Corridor over the past 37 years was carried out,and an optimal model was selected to generate a 1 km network dataset,which can be used to support the study of economic development,vegetation distribution,climate change,and ecological environment construction in the China–Mongolia–Russia Economic Corridor.Based on measured data of 353 meteorological stations in the China–Mongolia–Russia Economic Corridor region,operations such as reading,merging,checking,and statistical spatial interpolation batch code generation of data were performed.In addition,longitude and latitude were used as variables in the ANUSPLIN software interpolation to square the precipitation.Using the thin-disk smooth spline method,a 1 km grid interpolation dataset of precipitation in China,Mongolia,and Russia from 1982 to 2018 was obtained.The correlation coefficient(R²)was used to verify the correlation between the interpolation results and the meteorological station data,and the R²was 0.937,7.The mean absolute error(MAE)and the root mean square error(RMSE)were used as the accuracy evaluation indicators,and the average values of MAE and RMSE were 4.546,4 and 2.305,7 mm,respectively.The dataset includes the raster data of the annual average precipitation for each year from 1982 to 2018.The dataset is archived in.tif format with a spatial resolution of 1 km and consists of 185 data files with a data size of 5.43 GB.This raster dataset is relatively new in terms of accuracy and time series,and is openly shared and downloaded.It can provide data support for research on the terrestrial ecosystems and spatiotemporal changes in the China–Mongolia–Russia Economic Corridor.

关 键 词：中蒙俄经济走廊 年降水量 ANUSPLIN 1-km网格 

分 类 号：P426.6[天文地球—大气科学及气象学]