A new interpolation method for Antarctic surface temperature  

作　　者：Yetang Wang 

机构地区：[1]Monitoring Centre of Ocean Environment of Shandong Province, Yantai 264006, China [2]State Key Laboratory of Cryospherie Science, Cold and Arid Regions Environmental and Engineering Research Institute, Chinese Academy of Sciences, Lanzhou 73000, China [3]MOE, Key Laboratory for Coast and Island Development, School of Geographic and Oceanographic Sciences, Nanjing University, Nanjing 210093, China

出　　处：《Progress in Natural Science:Materials International》2009年第12期1843-1849,共7页自然科学进展·国际材料（英文版）

基　　金：supported by the National Key Technology R&D Program(2006BAB18B01);the National Natural Science Foundation of China(40825017);SKLCS-ZZ- 2008-06,and the 100 Talents Project of the Chinese Academy of Sciences.

摘　　要：We propose a new methodology for the spatial interpolation of annual mean temperature into a regular grid with a geographic resolution of 0.01°for Antarctica by applying a recent compilation of the Antarctic temperature data.A multiple linear regression model of the dependence of temperature on some geographic parameters(i.e.,latitude,longitude,and elevation) is proposed empirically,and the kriging method is used to determine the spatial distribution of regional and local deviations from the temperature calculated from the multiple linear regression model.The modeled value and residual grids are combined to derive a high-resolution map of surface air temperature. The performance of our new methodology is superior to a variety of benchmark methods(e.g.,inverse distance weighting,kriging, and spline methods) via cross-validation techniques.Our simulation resembles well with those distinct spatial features of surface temperature,such as the decrease in annual mean surface temperature with increasing latitude and the distance away from the coast line; and it also reveals the complex topographic effects on the spatial distribution of surface temperature.We propose a new methodology for the spatial interpolation of annual mean temperature into a regular grid with a geographic resolution of 0.01° for Antarctica by applying a recent compilation of the Antarctic temperature data. A multiple linear regression model of the dependence of temperature on some geographic parameters （i.e., latitude, longitude, and elevation） is proposed empirically, and the kriging method is used to determine the spatial distribution of regional and local deviations from the temperature calculated from the multiple linear regression model. The modeled value and residual grids are combined to derive a high-resolution map of surface air temperature. The performance of our new methodology is superior to a variety of benchmark methods （e.g., inverse distance weighting, kriging, and spline methods） via cross-validation techniques. Our simulation resembles well with those distinct spatial features of surface temperature, such as the decrease in annual mean surface temperature with increasing latitude and the distance away from the coast line; and it also reveals the complex topographic effects on the spatial distribution of surface temperature.

关 键 词：Surface temperature DEM ANTARCTICA 

分 类 号：P467[天文地球—大气科学及气象学] TH811[机械工程—仪器科学与技术]