DOI: 10.1007/s00382-013-1671-6
Scopus记录号: 2-s2.0-84891625377
论文题名: Impacts of Indian Ocean SST biases on the Indian Monsoon: As simulated in a global coupled model
作者: Prodhomme C. ; Terray P. ; Masson S. ; Izumo T. ; Tozuka T. ; Yamagata T.
刊名: Climate Dynamics
ISSN: 9307575
出版年: 2014
卷: 42, 期: 2017-01-02 起始页码: 271
结束页码: 290
语种: 英语
英文关键词: Arabian Sea
; Coupled climate model
; Indian Monsoon
; Model systematic errors
; Ocean atmosphere interaction
英文摘要: In this study, the impact of the ocean-atmosphere coupling on the atmospheric mean state over the Indian Ocean and the Indian Summer Monsoon (ISM) is examined in the framework of the SINTEX-F2 coupled model through forced and coupled control simulations and several sensitivity coupled experiments. During boreal winter and spring, most of the Indian Ocean biases are common in forced and coupled simulations, suggesting that the errors originate from the atmospheric model, especially a dry islands bias in the Maritime Continent. During boreal summer, the air-sea coupling decreases the ISM rainfall over South India and the monsoon strength to realistic amplitude, but at the expense of important degradations of the rainfall and Sea Surface Temperature (SST) mean states in the Indian Ocean. Strong SST biases of opposite sign are observed over the western (WIO) and eastern (EIO) tropical Indian Ocean. Rainfall amounts over the ocean (land) are systematically higher (lower) in the northern hemisphere and the south equatorial Indian Ocean rainfall band is missing in the control coupled simulation. During boreal fall, positive dipole-like errors emerge in the mean state of the coupled model, with warm and wet (cold and dry) biases in the WIO (EIO), suggesting again a significant impact of the SST errors. The exact contributions and the distinct roles of these SST errors in the seasonal mean atmospheric state of the coupled model have been further assessed with two sensitivity coupled experiments, in which the SST biases are replaced by observed climatology either in the WIO (warm bias) or EIO (cold bias). The correction of the WIO warm bias leads to a global decrease of rainfall in the monsoon region, which confirms that the WIO is an important source of moisture for the ISM. On the other hand, the correction of the EIO cold bias leads to a global improvement of precipitation and circulation mean state during summer and fall. Nevertheless, all these improvements due to SST corrections seem drastically limited by the atmosphere intrinsic biases, including prominently the unimodal oceanic position of the ITCZ (Inter Tropical Convergence Zone) during summer and the enhanced westward wind stress along the equator during fall. © 2013 Springer-Verlag Berlin Heidelberg. Citation statistics:
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/54555
Appears in Collections: 过去全球变化的重建
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作者单位: LOCEAN-IPSL, CNRS, IRD, UPMC, MNHN, Paris, France; Department of Earth and Planetary Science, Graduate School of Science, University of Tokyo, Tokyo, Japan; LOCEAN-IPSL, Université Pierre et Marie Curie, BP100, 4 Place Jussieu, 75252 Paris cedex 05, France
Recommended Citation:
Prodhomme C.,Terray P.,Masson S.,et al. Impacts of Indian Ocean SST biases on the Indian Monsoon: As simulated in a global coupled model[J]. Climate Dynamics,2014-01-01,42(2017-01-02)