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Reconstruction of gappy mean sea level data

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Field Value
 
Title Reconstruction of gappy mean sea level data
 
Creator Luu, Quang-Hung
Tkalich, Pavel
 
Subject Mean sea level
Reconstruction of gappy data
Sea level rise
Monsoon
ENSO
 
Description 1316-1321
Missing
data is a common problem in sea level records, and yet gappy records may hinder
estimates of sea level trend and variability. Sea level may be affected by
various scale phenomena, ranging from global climate change to interannual sea
level pattern caused by coupled ocean-atmosphere oscillations, as well as by
many other regional phenomena. It could be expected that such complexity make
sea level analysis more difficult; however, if relationships between the above
phenomena and sea level values are established for continuous parts of the
record, they can be used for reconstruction of the gappy parts. In this study,
we derive simple and robust method of reconstruction of the gappy data in the Singapore Strait using established relationships of sea
level on the El Niño-Southern
Oscillation (ENSO) and the Asian monsoon. The reconstructed mean sea level is
verified against observations, and allows for more accurate estimation of sea
level trend and variability in the Singapore Strait.
 
Date 2016-06-27T04:30:09Z
2016-06-27T04:30:09Z
2014-07
 
Type Article
 
Identifier 0975-1033 (Online); 0379-5136 (Print)
http://hdl.handle.net/123456789/34446
 
Language en_US
 
Rights CC Attribution-Noncommercial-No Derivative Works 2.5 India
 
Publisher NISCAIR-CSIR, India
 
Source IJMS Vol.43(7) [July 2014]