A qualitative study on sea surface temperature over the tropical Indian Ocean and performance of Indian summer monsoon

被引:1
|
作者
Singh, Umesh Kumar [2 ]
Singh, Gyan Prakash [1 ]
机构
[1] Banaras Hindu Univ, Fac Sci, Dept Geophys, Varanasi 221005, Uttar Pradesh, India
[2] APEC Climate Ctr APCC, Pusan, South Korea
关键词
RAINFALL; ENSO; DIPOLE; INDEXES; IMPACT; MODEL;
D O I
10.1007/s00704-012-0606-1
中图分类号
P4 [大气科学(气象学)];
学科分类号
0706 ; 070601 ;
摘要
A careful analysis of the sea surface temperature (SST) over the tropical Indian Ocean using the available SST data sets (namely, Hadley Center Ice SST, tropical rainfall measuring mission microwave imager SST, and optimum interpolation SST) at different time scales has been presented in the present study. By simple visual inspection of the SST plots, it has been shown that the qualitative prediction of Indian summer monsoon condition (weak/normal) and northern limit of monsoon (NLM) can be possible a month in advance using SST. The present qualitative study may be useful for common man to know the behavior of summer monsoon well a month in advance. Therefore, the qualitative study may enable the common man to show the application of satellite data to bring out the information regarding the onset of summer monsoon and related performance of Indian summer monsoon well in advance.
引用
收藏
页码:565 / 575
页数:11
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