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利用时空Kriging进行气温插值研究
引用本文:李莎,舒红,徐正全.利用时空Kriging进行气温插值研究[J].武汉大学学报(信息科学版),2012,37(2):237-241.
作者姓名:李莎  舒红  徐正全
作者单位:1. 武汉大学测绘遥感信息工程国家重点实验室,武汉市珞喻路129号430079/湖北第二师范学院机械与电气工程系,武汉市光谷二路29号430205
2. 武汉大学测绘遥感信息工程国家重点实验室,武汉市珞喻路129号,430079
基金项目:半干旱气候变化教育部重点实验室(兰州大学)开放基金资助项目,国家973计划资助项目,国家自然科学基金委员会优秀国家重点实验室研究基金资助项目,国家自然科学基金资助项目
摘    要:以黑龙江省近37a的月均气温数据为研究对象,介绍了一类积分式时空协方差(变异)函数模型进行时空Kriging插值。针对月均气温呈现出的明显季节变化,对各站点的气温进行去季节项处理,并在此基础上建立时空变异函数。将空间维的普通Kriging插值扩展至时空维,同时考虑空间和时间相关性对研究变量进行时空估计,并将估计结果与空间Kriging插值效果进行了比较。结果表明,时空插值效果理想,插值精度较空间Kriging更高。

关 键 词:Kriging插值  时空相关  协方差  变异函数  气温

Interpolation of Temperature Based on Spatial-temporal Kriging
LI Sha,SHU Hong,XU Zhengquan.Interpolation of Temperature Based on Spatial-temporal Kriging[J].Geomatics and Information Science of Wuhan University,2012,37(2):237-241.
Authors:LI Sha  SHU Hong  XU Zhengquan
Institution:1(1 State Key Laboratory of Information Engineering in Surveying,Mapping and Remote Sensing,Wuhan University, 129 Luoyu Road,Wuhan 430079,China)(2 Department of Mechanical and Electrical Engineering,Hubei University of Education, 29 Guanggu 2nd Road,Wuhan 430205,China)
Abstract:A kind of integrated covariance(variogram) model is introduced for spatial-temporal Kriging interpolation of monthly average temperature of 37 years in Heilongjiang province.As monthly average temperature display obvious seasonal change,seasonal part is removed before interpolation.Spatial-temporal variogram is built based on the ones of pure space and pure time.Extending ordinary Kriging into space-time and considering variable’s correlation both in space and time,the monthly average temperatures of all stations in 2007 are estimated,and the effect is compared with spatial Kriging’s.The result shows that spatial-temporal interpolation is practical,and its accuracy is better than that of spatial Kriging.
Keywords:Kriging interpolation  space-time correlation  covariance  variogram  temperature
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