气象科学2017，Vol.37Issue(2)：278-282,5.DOI:10.3969/2016jms.0021
气象要素插值的空间化精度提高方法研究
Analysis of spatial interpolation methods for meteorological elements anomaly
摘要
Abstract
In order to improve the interpolation accuracy of meteorological elements,the meteorological data were firstly processed,and then the changed data were interpolated.The 40 a meteorological data during 1961-2000 and the observation data of 2005 from 743 conventional stations in China,the interpolation methods including IDW,Kriging and Spline,and the data pretreatment method was processed based on anomaly processed.Results show that IDW is better than Kriging and Spline for average temperature anomaly;the improvement of temperature is better than that of precipitation and relative humidity;precipitation anomaly deviation presents the increasing trend from east to west.Thus,the pretreatment methods of meteorological data can improve interpolation accuracy.关键词
距平插值方法/气象数据处理/交叉验证/插值精度Key words
Anomaly interpolation method/Meteorological data processing/Cross-validation/Interpolator accuracy分类
农业科技引用本文复制引用
刘琰琰..气象要素插值的空间化精度提高方法研究[J].气象科学,2017,37(2):278-282,5.基金项目
四川省科技支撑计划项目(2015NZ0035) （2015NZ0035）
