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A method for detecting season‐dependent modes of climate variability: S‐EOF analysis
Author(s) -
Wang Bin,
An SoonIl
Publication year - 2005
Publication title -
geophysical research letters
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 2.007
H-Index - 273
eISSN - 1944-8007
pISSN - 0094-8276
DOI - 10.1029/2005gl022709
Subject(s) - empirical orthogonal functions , climatology , el niño southern oscillation , mode (computer interface) , environmental science , pacific decadal oscillation , variation (astronomy) , climate variation , climate change , geology , oceanography , physics , computer science , astrophysics , operating system
Anomalous climate is often regulated by the annual cycle. Based on this physical consideration, we propose a new method termed as Season‐reliant Empirical Orthogonal Function (S‐EOF) analysis to detect major modes of climate variability. The S‐EOF analysis of Indo‐Pacific SST during the past 54 years reveals two statistically significant leading modes, which are not obtainable by using conventional EOF analysis. These modes represent the Indo‐Pacific Low‐Frequency (LF) and Quasi‐Biennial (QB) modes associated ENSO, and reveal the fundamental differences between the LF and QB modes in their seasonal evolution, fractional variance structure, and interdecadal variation and trend. The interdecadal variability is coupled with the LF mode, suggesting that decadal‐interdecadal SST variation is primarily represented by the ENSO‐like interdecadal regime shift in the late 1970s. A warming trend is mingled with the QB mode, accounting for a large portion of the local SST variability in the Maritime Continent‐western Pacific horseshoe region.