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.
引用
收藏
页数:17
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