Prediction of the Central Indian Ocean Mode in S2S Models

Frontiers in Marine Science

Jianhuang Qin¹  Ze Meng²  Lei Zhou³  Baosheng Li⁴ 

[1] College of Oceanography, Hohai University, Nanjing, China;School of Oceanography, Shanghai Jiao Tong University, Shanghai, China;Southern Marine Science and Engineering Guangdong Laboratory, Zhuhai, China;State Key Laboratory of Satellite Ocean Environment Dynamics, Second Institute of Oceanography, Ministry of Natural Resources, Hangzhou, China;

关键词: the central Indian Ocean mode;    prediction skill;    subseasonal-to-seasonal (S2S) prediction;    signal-to-noise ratio (S/N ratio);    subseasonal zonal winds;   

DOI  :  10.3389/fmars.2022.880469

来源: DOAJ

【 摘 要 】

Prediction of precipitation during the Indian summer monsoon (ISM) is a persistent scientific challenge. The central Indian Ocean (CIO) mode was proposed as a subseasonal climate mode over the tropical Indian Ocean, and it has a close relation with monsoon intraseasonal oscillations (MISO) during the ISM both in observations and simulations. In this study, the prediction skill of the CIO mode in the subseasonal-to-seasonal (S2S) air–sea coupled models is examined. The ECMWF and UKMO models display significantly higher skills for up to about 2 and 3 weeks, respectively, which are longer than other S2S models. The decline of the CIO mode prediction skill is due to the reduced signal of subseasonal zonal winds at 850 hPa over the tropical central Indian Ocean (especially along the equator; 5°S–5°N, 70°E–85°E). Therefore, a better simulation of tropical subseasonal zonal winds is required to improve the CIO mode prediction in models, and the improvement will benefit a better MISO simulation and a higher prediction skill during the ISM.

【 授权许可】

Unknown