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气象场序列几种插补方案的对比试验
引用本文:江志红,丁裕国,屠其璞.气象场序列几种插补方案的对比试验[J].南京气象学院学报,1999,22(3):352-359.
作者姓名:江志红  丁裕国  屠其璞
作者单位:南京气象学院环境科学系,南京,210044
基金项目:九五项目“96-908-01-01”课题
摘    要:采用基于 E O F S的主分量回归( P C R)、 E O F S迭代法( I E O F)和基于主分量典型相关的典型变量回归( C V R)3 种不同的统计插补计算方案,对同一区域同一种气象要素序列进行缺测资料的插补试验。结果表明,各种方案插补精度都与参数选择有关,无论缺测站点空间分布类型如何,当缺测点数小于 60 % 时,3 种方案均有较好效果,以 C V R 最佳,且随缺测年数增长, C V R 优势更显著。

关 键 词:气象场序列  资料序列插补  典型相关分析  经验正交函数

CONTRAST STUDY ON THE SEVERAL INTERPOLATION SCHEMES OF METEOROLOGICAL FIELDS SERIES
Jiang Zhihong,Ding Yuguo,Tu Qipu.CONTRAST STUDY ON THE SEVERAL INTERPOLATION SCHEMES OF METEOROLOGICAL FIELDS SERIES[J].Journal of Nanjing Institute of Meteorology,1999,22(3):352-359.
Authors:Jiang Zhihong  Ding Yuguo  Tu Qipu
Abstract:Three different statistical interpolation schemes respectively based on the principal component regression (PCR) of empirical orthogonal function (EOF),the iteration of EOF (I EOF) and the canonical variable regression (CVR) of principal component are adopted to interpolate the same missing data fields.Contrast experiments show that the interpolation precision of all kinds of schemes is associated with its parameters.If the pencentage of missing data station numbers is less than 60%,no matter what distributions these stations show,all schemes,especially CVR exhibit a satisfactory accuracy,and this character becomes more significant when data missing goes a longer time.
Keywords:meteorological field series  data series interpolation  canonical correlation analysis  empirical orthogonal function
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