Simulation of Central Indian Ocean Mode in S2S Models

被引:13
|
作者
Qin, Jianhuang [1 ,2 ]
Zhou, Lei [1 ,3 ]
Li, Baosheng [1 ]
Murtugudde, Raghu [4 ]
机构
[1] Shanghai Jiao Tong Univ, Sch Oceanog, Shanghai, Peoples R China
[2] Hohai Univ, Coll Oceanog, Nanjing, Peoples R China
[3] Southern Marine Sci & Engn Guangdong Lab, Zhuhai, Peoples R China
[4] Univ Maryland, Earth Syst Sci Interdisciplinary Ctr, College Pk, MD 20742 USA
基金
中国国家自然科学基金;
关键词
subseasonal to seasonal; Central Indian Ocean mode; Indian summer monsoon; zonal wind gradient; intraseasonal variability; MADDEN-JULIAN OSCILLATION; ASIAN SUMMER MONSOON; INTRASEASONAL OSCILLATIONS; MJO; VARIABILITY; PREDICTION; RAINFALL; ENSO;
D O I
10.1029/2020JD033550
中图分类号
P4 [大气科学(气象学)];
学科分类号
0706 ; 070601 ;
摘要
Simulation of monsoon intraseasonal oscillations (MISO) during the Indian summer monsoon (ISM) is a grand scientific challenge. The Subseasonal-to-Seasonal (S2S) prediction project provides a unique way to examine the key dynamics of MISO. Recently, a Central Indian Ocean (CIO) mode was proposed as an intrinsic climate mode over the Indian Ocean, and it has a close relation with MISO during the ISM. In this study, the simulations of the CIO mode events in S2S models are examined. The results confirm that a better rendition of the CIO mode in S2S models tends to result in a better simulation of northward propagating MISO and leads to stronger subseasonal rainfall during the ISM. The positive CIO mode cases are classified into well-simulated and poorly simulated groups. It is shown that the barotropic energy conversion due to the meridional shear of background zonal winds ( partial differential u over bar partial differential y) enhances the kinetic energy at subseasonal timescales during the CIO mode in the well-simulated group, which also agrees with observations. As a result, the enhanced meridional wind anomalies transport moisture from the tropics to the subtropics and reinforce midtropospheric moisture loading in the subtropics, which nourishes the northward propagating MISO. Therefore, a better simulation of partial differential u over bar / partial differential y and moisture transport by subseasonal meridional wind anomalies are required to improve the CIO mode simulation, which is expected to benefit the simulation and prediction of MISO during the ISM.
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收藏
页数:17
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