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基于ANUSPLIN的安徽省气象要素空间插值研究

发表时间:2014-11-15  浏览量:1641  下载量:1177
全部作者: 刘朝顺,束士杰
作者单位: 华东师范大学地理信息科学教育部重点实验室
摘 要: 高精度的空间气象数据是气候、水文、生态及环境等研究必不可少的基础参数。这里尝试运用基于薄盘光滑样条函数插值理论的气象要素专用插值软件ANUSPLIN,利用安徽省71个气象站点日平均、月平均与年平均3个时间尺度下的气温数据,以及月平均与年平均2个时间尺度下的降水量数据,对全省的气温和降水量进行空间插值研究。在插值过程中进行针对3个变量(经度、纬度与高程)间不同组合形成的模型对各个时间尺度下气象要素的插值精度分析,以获取最优的气象要素插值模型。对ANUSPLIN插值结果和普通Kriging插值结果进行比较,发现ANUSPLIN的插值结果比普通Kriging插值精度高、光滑度好,更适用于气象数据的空间插值。
关 键 词: 地理学;空间插值;气温;降水;ANUSPLIN;薄盘光滑样条
Title: Spatial interpolation of meteorological variables over Anhui province based on ANUSPLIN
Author: LIU Chaoshun, SHU Shijie
Organization: Key Laboratory of Geographic Information Science, Ministry of Education, East China Normal University
Abstract: Spatial grid meteorological data with high precision are very important parameters for study on climate, hydrology, ecology and environment research fields. This paper attempts to use ANUSPLIN, a software based on thin-plate smoothing spline for spatial interpolation, to interpolate average temperature in 3 different time scales and precipitation in 2 different time scales with source data from 71 meteorological stations in Anhui province. Before interpolation, different ANUSPLIN models with the combination of three variants (longitude, latitude and elevation) were performed to ensure the best one corresponding with each source data in daily, monthly and annual scale. The interpolating results of the ANUSPLIN were compared with those interpolated data based on ordinary Kriging method. The results showed that the ANUSPLIN performs more accuracy and smoothness in all the time scales of temperature and precipitation than those generated by ordinary Kriging method. It indicates that the ANUSPLIN is more suitable for spatial interpolation of meteorological variables.
Key words: geography; spatial interpolation; temperature; precipitation; ANUSPLIN; thin-plate smoothing spline
发表期数: 2014年11月第21期
引用格式: 刘朝顺,束士杰. 基于ANUSPLIN的安徽省气象要素空间插值研究[J]. 中国科技论文在线精品论文,2014,7(21):2155-2164.
 
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