Some experiments with multivariate objective analysis scheme of heights and winds using optimum interpolation

Autor:	D. R. Talwalkar, S. Rajamani, S. K. Sinha, S. G. Narkhedkar
Rok vydání:	1992
Předmět:	Atmospheric Science Multivariate statistics symbols.namesake Mean squared error Statistics Autocorrelation Linear regression Gaussian function symbols Geopotential height Numerical weather prediction Mathematics Interpolation
Zdroj:	Advances in Atmospheric Sciences. 9:431-440
ISSN:	1861-9533 0256-1530
DOI:	10.1007/bf02677075
Popis:	A two-dimensional, multitvariate objective analysis scheme for simultaneous analysis of geopotential height and wind fields has been developed over Indian and adjoining region for use in numerical weather prediction. The height-height correlations calculated using daily data of four July months (1976–1979), are used to derive the other autocorrelations and cross-correlations assuming geostropic relationship. A Gaussian function is used to model the autocorrelation function. Since the scheme is multivariate the regression coefficients (weights) are matrix.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::dfcf096fbf3ace6201350baab0f6bc7c https://doi.org/10.1007/bf02677075 Zobrazit plný text záznamu Full text from SpringerLink