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Implication of empirical orthogonal function analysis to objectively analyzed sea surface temperature data of Bay of Bengal

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Title Implication of empirical orthogonal function analysis to objectively analyzed sea surface temperature data of Bay of Bengal
 
Creator Ghoshal, Tarumay
Jana, Sudip
Chakraborty, Arun
 
Subject EOF
SVD
SST
Temporal mode
Spatial mode
 
Description 39-44
In this study, the Empirical Orthogonal
Function (EOF) analysis was accomplished on a long term monthly Sea Surface
Temperature (SST) data over the Bay of Bengal (BOB) through the Singular Value
Decomposition (SVD) method. Monthly temperature data was obtained from the
assimilation of recent ARGO observations into the Levitus Climatology using
objective analysis technique. The aim of this study is divided into two
categories : the intrinsicvaluable information obtained through EOF and
reconstruction of the whole data from the dominant modes. Computational accuracy
was calculated through skill analysis. Comparison between the original and
reconstructed dataset revealed that EOF analysis extracts the small intrinsic
signals and acts like a smoothing technique filtering out the unwanted signals.
Reconstruction with five dominant modes is sufficient to express the basin
dynamics for the BOB. Skill analysis revealed accuracy of reconstruction with
respect to original SST in the range of 98-99% at different spatial locations.
 
Date 2014-02-05T09:25:19Z
2014-02-05T09:25:19Z
2014-01
 
Type Article
 
Identifier 0975-1033 (Online); 0379-5136 (Print)
http://hdl.handle.net/123456789/26423
 
Language en_US
 
Rights CC Attribution-Noncommercial-No Derivative Works 2.5 India
 
Publisher NISCAIR-CSIR, India
 
Source IJMS Vol.43(1) [January 2014]