中国30年平均1-km月度气候要素数据集(1951-1980,1981-2010)  

30-year Average Monthly/1-km Climate Variable Dataset of China(1951-1980,1981-2010)

作　　者：程琦 吴星麒 魏临风 胡潇飞 倪健[1,2] Cheng,Q.;Wu,X.Q.;Wei,L.F.;Hu,X.F.;Ni,J.(College of Chemistry and Life Sciences,Zhejiang Normal University,Jinhua 321004,China;Jinhua Mountain Observation and Research Station for Subtropical Forest Ecosystems,Jinhua 321004,China)

机构地区：[1]浙江师范大学化学与生命科学学院,浙江金华321004 [2]浙江金华山亚热带森林生态系统野外科学观测研究站,浙江金华321004

出　　处：《全球变化数据学报（中英文）》2022年第4期533-544,V0533-V0544,共24页Journal of Global Change Data & Discovery

基　　金：中华人民共和国科学技术部(2019QZKK0402)。

摘　　要：本文汇集整编了中国国家气象台站1951-1980年和1981-2010年各30年平均气象记录,利用薄板光顺样条法和ANUSPLIN4.4软件对这2个时间段的3个气候指标(气温、降水和日照百分率)进行空间插值,并采用广义交叉验证法、平均绝对误差和均方根误差以及线性拟合等方法,检验台站数据和插值数据的精度,确定插值数据的准确可靠性,最终获得1-km空间分辨率和3种不同格式(ASCII字符集编码的文本文件、二维均匀栅格和标签图像文件)的气候栅格空间数据,并简述其空间分布格局与趋势。Spatial climate data are widely used in meteorology,geography,and ecology.These data are necessary for studying terrestrial ecosystems and climate change.In this study,we collected and sorted 30-year averaged meteorological records of China's national weather stations in two time periods(1951-1980,1981-2010).We used the thin plate smoothing spline technique and ANUSPLiN 4.4 software to interpolate three climatic variables(temperature,precipitation,and percentage of sunshine).The error statistics of the observed and interpolated data were calculated using generalized cross validation,mean absolute errors,root mean squared errors,and linear regression to confirm the accuracy of the interpolated data.Climate data with 1 km resolution were obtained in three different raster formats(AsCll character set encoding text file,two-dimensional uniform grid,and label image file).The spatial distribution patterns and trends of temperature,precipitation,and percentage of sunshine were further analyzed.

关 键 词：中国 气温 降水 日照百分率 月度 30年 

分 类 号：P468[天文地球—大气科学及气象学]