Title of article :
On the consistency in variations of the South China Sea Warm Pool as revealed by three sea surface temperature datasets
Author/Authors :
Li، نويسنده , , N. C. Shang، نويسنده , , S.P. and Shang، نويسنده , , S.L. and Zhang، نويسنده , , C.Y.، نويسنده ,
Issue Information :
روزنامه با شماره پیاپی سال 2007
Pages :
8
From page :
118
To page :
125
Abstract :
The areal and intensity indices of the South China Sea Warm Pool (SCSWP) derived from three datasets, the Advanced Very High Resolution Radiometer (AVHRR), Tropical Rainfall Measuring Missionʹs Microwave Imager (TMI) and Optimum Interpolation Version 2 (OI.v2) sea surface temperature (SST), are generally consistent with each other at monthly, seasonal and interannual scales. However, the three records are different in some cases. First, minor differences among the monthly records of intensity index are observed in the period July to September. Secondly, the interannual records of SCSWP intensity derived from AVHRR and OI.v2 are different in autumn during the period 1990–1996. The reason is not yet clear and nor is it clear which record best represents fluctuations in SCSWP intensity. These suggest that various drawbacks of the three datasets, such as low resolution of OI.v2, and cloud and rain contamination on AVHRR and TMI data, would be serious enough to allow deviation from each other to appear. Merging AVHRR and TMI SST data might be the way leading to a more convincing time series of SCSWP. In addition, changes of areal and intensity indices are not always consistent with each other, for example, they have different monthly patterns. Although the three interannual records of intensity index in three seasons all capture the main Multivariate ENSO Index (MEI) signals at a half-year lag, only those which are in the summer significantly correlated with MEI.
Keywords :
Index , Variation , ENSO , South China Sea Warm Pool , AVHRR , TMI , OI.v2 , Remote sensing , sea surface temperature
Journal title :
Remote Sensing of Environment
Serial Year :
2007
Journal title :
Remote Sensing of Environment
Record number :
1575145
Link To Document :
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