Intraseasonal-to-semiannual variability of sea-surface height in the astern, equatorial Indian Ocean and southern Bay of Bengal

被引:46
作者
Cheng, Xuhua [1 ,2 ,3 ]
McCreary, Julian P. [2 ]
Qiu, Bo [4 ]
Qi, Yiquan [1 ]
Du, Yan [1 ]
机构
[1] Chinese Acad Sci, State Key Lab Trop Oceanog, South China Sea Inst Oceanol, Guangzhou, Guangdong, Peoples R China
[2] Univ Hawaii Manoa, Int Pacific Res Ctr, Honolulu, HI 96822 USA
[3] Hohai Univ, Coll Oceanog, Nanjing, Jiangsu, Peoples R China
[4] Univ Hawaii Manoa, Dept Oceanog, Honolulu, HI 96822 USA
关键词
Bay of Bengal; intraseasonal; semiannual; sea surface height; reduced-gravity model; LCS model; DYNAMICS; ORIGINS; DRIVEN; LEVEL; JETS;
D O I
10.1002/2016JC012662
中图分类号
P7 [海洋学];
学科分类号
0707 ;
摘要
Intraseasonal-to-semiannual variability of sea-surface height (SSH) in the eastern, equatorial Indian Ocean (EEIO) and southern Bay of Bengal (BoB) is investigated using altimetric data, and solutions to 11/2 layer (first baroclinic mode) and linear, continuously stratified (LCS; multibaroclinic-mode) models. The amplitude and dominant periods of SSH variability differ regionally. Large-amplitude variability is found along the west coast of Sumatra, in a zonal band across the BoB centered along 5 degrees N, east of Sri Lanka, and in the northwestern BoB, respectively. Along the Sumatran west coast, SSH variability peaks at 30-60, 90, and 180 days. Along 5 degrees N and east of Sri Lanka, the 30-60 day variability is dominant. Sensitivity experiments using a nonlinear version of the 11/2 layer model forced by realistic winds reproduce the observed patterns of intraseasonal variability in the southern BoB. At 30-60 days, the solutions show that eddies (nonlinear Rossby waves) propagating from the east, rather than local wind forcing, account for most of the variance east of Sri Lanka; furthermore, they demonstrate that the variance is significantly enhanced by the nonlinear transfer of 90-120 day energy into the intraseasonal band of 30-60 days. The LCS solutions show that the first two baroclinic modes explain most of the SSH variance at 90-180 days. The second baroclinic mode dominates the SSH variance at 180 days, a consequence of basin resonance and strong wind forcing.
引用
收藏
页码:4051 / 4067
页数:17
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