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contributor authorThiebaux, H. Jean
date accessioned2017-06-09T16:00:53Z
date available2017-06-09T16:00:53Z
date copyright1975/07/01
date issued1975
identifier issn0027-0644
identifier otherams-58789.pdf
identifier urihttp://onlinelibrary.yabesh.ir/handle/yetl/4199274
description abstractThe Gandin optimal analysis scheme leaves open the problem of determining the covariance matrix on which it depends. The choice of an autocorrelation function for geopotential, from which geostrophically consistent cross-correlations?and thus covariances?for heights and winds may be derived, influences the performance of the analysis. Four related functions are considered for representation of height field autocorrelations. They are compared on the basis of spectral behavior, capacity to conform with geostrophy, and accuracy of analyses employing them. A multivariate objective analysis test, with both regular and irregular configurations of predictor stations, compares performance of analyses based on modeled covariances with performance of an analysis using observed sample covariances.
publisherAmerican Meteorological Society
titleExperiments with Correlation Representations for Objective Analysis
typeJournal Paper
journal volume103
journal issue7
journal titleMonthly Weather Review
identifier doi10.1175/1520-0493(1975)103<0617:EWCRFO>2.0.CO;2
journal fristpage617
journal lastpage627
treeMonthly Weather Review:;1975:;volume( 103 ):;issue: 007
contenttypeFulltext


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