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投稿时间:2007-04-25 修订日期:2007-12-29
投稿时间:2007-04-25 修订日期:2007-12-29
中文摘要: 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。
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 pl
ate spline function, high interpolation accuracy by the incorporation of paramet
ric linear sub model, in addition to the independent spline variables. Furtherm
ore,it is more suitable for time series of meteorological data by process
ing one more surface layer one time. So many contents of ANUSPLIN, such as the interpo
lation theory, main data flows, parameters setting, model selection, statistic a
nalyses and input output formats are introduced through an example. It is expe
cted that this paper is helpful for the researchers to use the ANUSPLIN more easi
ly.
keywords: meteorology data interpolation ANUSPLIN
文章编号: 中图分类号: 文献标志码:
基金项目:中澳合作项目(ACIAR PROJECT , NO.LWR1/2002/018),中国科学院
西部之光项目B183/2004
作者 | 单位 |
刘志红 | 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 |
Li Lingtao | 澳大利亚联邦科工组织水资源研究所 |
Tim R. McVicar | 澳大利亚联邦科工组织水资源研究所 |
Van Niel,T.G | 澳大利亚联邦科工组织水资源研究所 |
杨勤科 | 中国科学院水土保持与生态环境研究中心 |
李锐 | 中国科学院水土保持与生态环境研究中心 |
引用文本:
刘志红,Li Lingtao,Tim R. McVicar,Van Niel,T.G,杨勤科,李锐,2008.专用气候数据空间插值软件ANUSPLIN及其应用[J].气象,34(2):92-100.
Liu Zhihong1,2〓3〓3〓3〓 4〓,Li Lingtao,Tim R McVicar,Van Niel,T.G,Yang Qinke,Li Rui,2008.Introduction of the Professional Interpolation Software for Meteorology Data:ANUSPLINN[J].Meteor Mon,34(2):92-100.
刘志红,Li Lingtao,Tim R. McVicar,Van Niel,T.G,杨勤科,李锐,2008.专用气候数据空间插值软件ANUSPLIN及其应用[J].气象,34(2):92-100.
Liu Zhihong1,2〓3〓3〓3〓 4〓,Li Lingtao,Tim R McVicar,Van Niel,T.G,Yang Qinke,Li Rui,2008.Introduction of the Professional Interpolation Software for Meteorology Data:ANUSPLINN[J].Meteor Mon,34(2):92-100.