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利用车贝雪夫多项式进行资料缺测插补的研究
引用本文:张秀芝,孙安健.利用车贝雪夫多项式进行资料缺测插补的研究[J].应用气象学报,1996,7(3):344-352.
作者姓名:张秀芝  孙安健
作者单位:1.国家气候中心
基金项目:85-913-02-01课题
摘    要:使用一维车贝雪夫多项式展开进行历史年降水量和月平均气温各种缺测情况下资料的插补试验,在迭代计算过程中,还对理想初值的两种临界迭代次数选取方案和迭代终值法进行了大量的试验。结果表明,一般情况下迭代终值计算精度较高,旱涝年则理想初值拟合结果更好一些;一年缺测插补精度高于连续多年缺测;双向插补计算结果优于单独使用顺序或逆序插补结果。

关 键 词:一维车贝雪夫多项式    气候序列缺测    插补试验

Interpolation Experiment of Missing Meteorological Data by Using Chebyshev Polynomials Method
Zhang Xiuzhi,Sun Anjian.Interpolation Experiment of Missing Meteorological Data by Using Chebyshev Polynomials Method[J].Quarterly Journal of Applied Meteorology,1996,7(3):344-352.
Authors:Zhang Xiuzhi  Sun Anjian
Affiliation:1.(National Climate Center, Beijing 100081)
Abstract:By using one--dimensional Chebyshev polynomials expansion, the interpolation experiments of missing data for annual precipitation and monthly mean temperature have been made. A number of tests have been made for the selection schemes of two kinds of critical iteration times and iterative terminal value method of ideal initial values. The results are as follows: the calculating accuracy of the terminal values are higher generally; but the fitting results of ideal initial value are much better for dryness--wetness year; the accuracy of interpolation of missing data for one year is higher than that for continuous several years; the calculating results of two--direction interpolation method are better than that by using sequential or contrary interpolation alone.
Keywords:One--dimensional Chebyshev polynomial  Missing of climatic sequence  Interpolation experiment    
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