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专用气候数据空间插值软件ANUSPLIN及其应用
引用本文:刘志红,Li Lingtao,Tim R. McVicar,Van Niel,T.G,杨勤科,李锐.专用气候数据空间插值软件ANUSPLIN及其应用[J].气象,2008,34(2):92-100.
作者姓名:刘志红  Li Lingtao  Tim R. McVicar  Van Niel  T.G  杨勤科  李锐
作者单位:1. 成都信息工程学院电子工程系,610225;中国气象局大气探测重点开放实验室
2. 澳大利亚联邦科工组织水资源研究所
3. 中国科学院水土保持与生态环境研究中心
基金项目:中国-澳大利亚合作项目 , 中国科学院"西部之光"人才培养计划
摘    要:空间化的气候数据作为环境因子参数是区域气候模型和地学模型的基础,而插值软件是实现气候观测点数据空间化的工具.ANUSPLIN基于薄盘样条函数理论,引入多个影响因子作为协变量进行气象要素空间插值,大大提高插值精度,且能同时进行多个表面的空间插值,对时间序列的气象要素更加适合.

关 键 词:气象数据  空间插值  ANUSPLIN
收稿时间:2007-04-25
修稿时间:2007-12-29

Introduction of the Professional Interpolation Software for Meteorology Data:ANUSPLINN
Liu Zhihong,Li Lingtao,Tim R McVicar,Van Niel,T.G,Yang Qinke,Li Rui.Introduction of the Professional Interpolation Software for Meteorology Data:ANUSPLINN[J].Meteorological Monthly,2008,34(2):92-100.
Authors:Liu Zhihong  Li Lingtao  Tim R McVicar  Van Niel  TG  Yang Qinke  Li Rui
Institution:Electronic & Information Engineering Department, Chengdu University of Infor mation Technology, 610225; CMA Key Laboratory of Atmospheric Soundi ng KLAS;CSIRO Land and Water, Canberra Australia;CSIRO Land and Water, Canberra Australia;CSIRO Land and Water, Canberra Australia;Institute of Soil and Water Conservation, Chinese Academy of Science and Mini stry of Water Resource;Institute of Soil and Water Conservation, Chinese Academy of Science and Mini stry of Water Resource
Abstract:Spatial grid metrological data is an essential environmental factor for various geo-model and climate-model, and the interpolation software is a tool to make the data space-dependent. As a specially designed interpolation package for meteorological data, ANUSPLIN has advantages of its solid theory of thin plate spline function, high interpolation accuracy by the incorporation of parametric linear sub-model, in addition to the independent spline variables. Furthermore, it is more suitable for time ~,xies of meteorolcgical data by processing one morn surface layer one time, So many contents of ANUSPLIN, such as the interpolation theory, main data flows, parameters setting, rachel selection, statistic analyses and input-output formats are introduced through an example. It is expected that this paper is helpful for the researchers to use the ANUSPLIN morn easily.
Keywords:meteorology data interpolation ANUSPLIN
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