Record Display for the EPA National Library Catalog


OLS Field Name OLS Field Data
Main Title An experiment on the quantitative description of fields of climatological elements by means of orthogonal functions /
Author Shi, Yong-Nian,
Publisher Emmanuel College, Research Language Center, Oriental Science Library,
Year Published 1967
Report Number Emm-66-89
OCLC Number 880358340
Subjects Atmospheric circulation--Mathematical models. ; Climatology--Research. ; Climatology--Mathematical models.
Library Call Number Additional Info Location Last
EKBD  TT/Emm-66-89 Research Triangle Park Library/RTP, NC 05/27/2014
Collation 22 pages : charts, 1 map ; 28 cm
"This translation has been made by the Oriental Science Library, Research Language Center, Emmanuel College under Contract AF 19(628)-5073 through the support and sponsorship of the Air Force Cambridge Research Laboratories, Office of Aerospace Research, L.G. Hansom Field, Bedford, Massachusetts." Contract Number: Contract AF 19(628)-5073 Originally published in: Ch'i Hsiang Hsueh Pao (Acta Meteorologica Sinica) 1965; 35(3): 343-51. Includes bibliographical references (pages 21-22). Print reproduction.
Contents Notes
The paper deals with the generalized problem of the quantitative description of fields of climatological elements by means of approximate analytical expressions. The present author is of the opinion that it is advantageous to use a linear combination of orthogonal functions as an approximate expression for the quantitative description of fields of climatological elements. A formula for the assessment of the accuracy of the computed results is also presented. Two numerical examples are given in which the 'descriptive' equations are represented by a linear expression. The coefficients of the linear expression are determined. The initial input data are correlated with the coefficients of the descriptive equations. The standard error of estimate and the variance ratio are computed. The importance of each linear coefficient is assessed by a comparison of the individual contribution to the multiple correlation coefficient.