Title of article :
Response of Vietnam coastal upwelling to the 1997–1998 ENSO event observed by multisensor data
Author/Authors :
Kuo، Nan-Jung نويسنده , , Zheng، Quanan نويسنده , , Ho، Chung-Ru نويسنده ,
Issue Information :
روزنامه با شماره پیاپی سال 2004
Pages :
-105
From page :
106
To page :
0
Abstract :
In this paper, we examine the behavior of the Vietnam coastal upwelling during the 1997–1998 El Nino-Southern Oscillation (ENSO) event. The baseline is 4 years of National Oceanic and Atmospheric Administration (NOAA) satellite Advanced Very High Resolution Radiometer (AVHRR) sea surface temperature (SST) data taken from 1997 to 2000. Comparison of upwelling images to simultaneous ERS-2 (European Remote Sensing Satellite) wind fields indicates that the summer monsoon winds constitute a major generation forcing. During the 1997 El Nino, the monsoon winds enhanced the upwelling and induced the upwelling center to move southward. During the 1998 La Nina, the monsoon winds weakened the upwelling. In contrast with the tropical Pacific, in the study area, La Nina implies a warm event and El Nino a cold event. We use empirical orthogonal function (EOF) methods to analyze the spatial and temporal variance of the upwelling. The three principal modes account for 37%, 15%, and 8% of the total variance, respectively. The first EOF modes reveal that the SST variance in the north and south subregions underwent a positive–negative sign switch in summer 1997. The second EOF modes represent the monthly evolution in normal years. The third modes seem to be sensitive to the 1998 La Nina event. Simultaneous TOPEX/POSEIDON and ERS-2 altimeter data provide further evidence for our analysis. Comparison with California coastal upwelling and midAtlantic Bight (MAB) coastal upwelling indicates that the Vietnam coastal upwelling is the most intensive one.
Keywords :
South China Sea , coastal upwelling , sea surface temperature , Sea level variation , EOF analysis
Journal title :
Remote Sensing of Environment
Serial Year :
2004
Journal title :
Remote Sensing of Environment
Record number :
120266
Link To Document :
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