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Patterns of interannual variability defined by a cluster analysis and their relation with ENSO
Author(s) -
Efimov V. V.,
Prusov A. V.,
Shokurov M. V.
Publication year - 1995
Publication title -
quarterly journal of the royal meteorological society
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.744
H-Index - 143
eISSN - 1477-870X
pISSN - 0035-9009
DOI - 10.1002/qj.49712152708
Subject(s) - extratropical cyclone , teleconnection , climatology , common spatial pattern , spatial ecology , sea surface temperature , environmental science , el niño southern oscillation , cluster (spacecraft) , spatial variability , geology , mathematics , computer science , biology , ecology , statistics , programming language
Results of the COADS data processing aimed at a classification of the structure of the large‐scale lowfrequency variability of the sea surface temperature, the sea‐level atmospheric pressure and the surface wind‐speed components are presented. Using cluster analysis, patterns of interannual variability in the temporal and spatial domains are obtained. Clusters consisting of points possessing similar temporal evolution are compared with the known dipole‐type patterns of interannual variability, and special attention is given to selection of the global ENSO‐related patterns. of particular interest are the teleconnection links between the equatorial and the extratropical regions in the Pacific Ocean. Clusters consisting of times with similar spatial patterns, as well as extended canonical correction analysis patterns, show the typical sequence of the spatial patterns during the ENSO cycle, especially for the ‘mature’ warm and cold phases. For these cases, typical features of the field anomalies, including the extratropical peculiarities in the Pacific Ocean, are considered and summarized.