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Four-dimensional empirical orthogonal analysis of climate variables

✍ Scribed by Bryan C. Weare


Publisher
John Wiley and Sons
Year
1990
Tongue
English
Weight
521 KB
Volume
10
Category
Article
ISSN
0899-8418

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✦ Synopsis


Abstract

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.


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