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Four‐dimensional empirical orthogonal analysis of climate variables
Author(s) -
Weare Bryan C.
Publication year - 1990
Publication title -
international journal of climatology
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.58
H-Index - 166
eISSN - 1097-0088
pISSN - 0899-8418
DOI - 10.1002/joc.3370100308
Subject(s) - empirical orthogonal functions , climatology , general circulation model , atmospheric circulation , environmental science , variance (accounting) , climate model , meteorology , econometrics , mathematics , climate change , atmospheric sciences , geology , geography , oceanography , accounting , business
An empirical orthogonal analysis method for analysing four‐dimensional geophysical data is derived. The potential utility of this method is illustrated in a sample analysis of the latent heating rates generated by the UCLA atmospheric general circulation climate model. In this example the four dominant eigenfunctions, which explain more than 64% of the total variance, are illustrated. The results show vertical structures, spatial patterns, and time variations that are consistent with a previous diagnosis of the UCLA model heating rates and observed climatology. Possible limitations of this methodology are discussed.