摘要
提出了一种基于地统计学分析,在无站点分布且无周边站点影响的区域增加模拟站点的方法,对气象观测站点稀疏的地区进行降水插值.其既不完全依赖于其他自然因子与降水数据的相关性,又对原观测站点降水数据的空间变异性信息进行了补充,可作为观测站点稀疏区域插值算法改进的一个新方向.以锡林郭勒盟为例进行分析的结果表明,本方法得到的整体及局部的误差估计均小于传统插值方法,并且在空间信息上表现出更为丰富的空间变异信息.
A new method setting suppositional meteorological stations over regions with no measured data is presented. According to the high relationship between precipitation and other physical factors, the data of suppositional stations could be simulated. Then a geo statistical analysis and spatial interpolation method could be used with the enough sites data. This method doesn＇t completely rely on the relationship of precipitation and other physical factors, and could be an easy way for precipitation interpolation over regions with sparse measured sites. A case study in Xilin Gole league shows that this method could get a better result with the least prediction error and more abundant spatial information.
出处
《北京师范大学学报（自然科学版）》
CAS
CSCD
北大核心
2006年第2期204-208,共5页
Journal of Beijing Normal University(Natural Science)
基金
国家"九七三"计划资助项目(2006CB400505)
关键词
降水插值
模拟站点
地统计学分析
precipitation interpolation
suppositional meteorological stations
geo statistical analysis
