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逐日气象要素空间插值方法的比较
引用本文:姜晓剑,刘小军,黄芬,姜海燕,曹卫星,朱艳.逐日气象要素空间插值方法的比较[J].应用生态学报,2010,21(3):624-630.
作者姓名:姜晓剑  刘小军  黄芬  姜海燕  曹卫星  朱艳
作者单位:南京农业大学江苏省信息农业高技术研究重点实验室,南京,210095
基金项目:新世纪优秀人才支持计划,国家自然科学基金,国家高技术研究发展计划(863计划),科技部科研项目,江苏省自然科学基金
摘    要:采用距离反比权重法(IDW)、协克里格法(CK)和薄盘样条法(TPS)3种不同的空间插值方法,对我国1951—2005年气象数据完整的559个气象站点逐月第15日的平均基本气象要素(最高气温、最低气温、日照时数和降水量)进行了插值分析与评价.结果表明:3种插值方法中,TPS法对最高气温和最低气温插值的根均方差(RMSE)最小(1.02℃和1.12℃)、R2最大(0.9916和0.9913);不同季节中,TPS法对秋季最高气温、夏季最低气温进行插值的RMSE均最小(0.83℃、0.86℃),R2均为秋季最高.对于日照时数和降水量而言,TPS法的RMSE最小(0.59h和1.01mm)、R2最大(0.9118和0.8135);不同季节中,TPS法对冬季日照时数进行插值的RMSE最小(0.49h)、R2最大(0.9293),TPS法对冬季降水量进行插值的RMSE最小(0.33mm),IDW法对夏季降水量进行插值的RMSE最小(2.01mm),CK法对春季降水量进行插值的R2最大(0.8781).TPS法可作为我国大量逐日基本气象要素的最优空间插值方法.

关 键 词:逐日气象要素  空间插值方法  栅格化

Comparison of spatial interpolation methods for daily meteorological elements
JIANG Xiaojian,LIU Xiao-jun,HUANG Fen,JIANG Hai-yan,CAO Wei-xing,ZHU Yan.Comparison of spatial interpolation methods for daily meteorological elements[J].Chinese Journal of Applied Ecology,2010,21(3):624-630.
Authors:JIANG Xiaojian  LIU Xiao-jun  HUANG Fen  JIANG Hai-yan  CAO Wei-xing  ZHU Yan
Affiliation:Jiangsu Province Key Laboratory for Information Agriculture, Nanjing Agricultural University, Nanjing 210095, China
Abstract:A comparative study was made to evaluate the methods of inverse distance weighting(IDW),co-kriging(CK),and thin plate spline(TPS)in interpolating the average meteorological elements(including maximum air temperature,minimum air temperature,sunshine hours,and precipitation)of the 15th day per month from the 1951-2005 comprehensive observation data of 559meteorological stations in China.The results showed that the RAISEs for the maximum and minimum air temperature in a year interpolated by TPS were the smallest(1.02 ℃ and 1.12 ℃,respectively),and the R~2 between the observed and predicted values were the highest(0.9916 and 0.9913,respectively),compared with those interpolated by IDW and CK.In four seasons,the smallest RMSEs for the maximum and minimum air temperature interpolated by TPS were observed in autumn(0.83 ℃)and summer(0.86℃),respectively,and the R~2 between the observed and predicted values interpolated by TPS were higher in autumn than in other seasons.The RMSEs for the sunshine hours and precipitation in a year interpolated by TPS were the smallest(0.59 h and1.01 mm,respectively),and the R~2 between the observed and predicted values were the highest(0.9118 and 0.8135,respectively),compared with those interpolated by IDW and CK.In four seasons,the RMSE for the sunshine hours in winter interpolated by TPS was the smallest(0.49 h),and the R~2 between the observed and predicted sunshine hours was the smallest(0.9293).The RMSE for the precipitation in winter interpolated by TIPS was the smallest(0.33 mm),while the RMSE for the precipitation in summer interpolated by IDW was the smallest(2.01 mm).The R~2 between the observed and predicted precipitation in winter interpolated by CK was the highest(0.8781).It was suggested that TPS could be the optimal spatial interpolation method in interpolating and rasterizing the daily meteorological elements in China.
Keywords:daily meteorological elements  spatial interpolation method  rasterization
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