气候变化领域集成服务门户(CCPortal): Biases in the Tropical Indian Ocean subsurface temperature variability in a coupled model

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DOI	10.1007/s00382-018-4455-1
	Biases in the Tropical Indian Ocean subsurface temperature variability in a coupled model
	Kakatkar R.; Gnanaseelan C.; Chowdary J.S.; Deepa J.S.; Parekh A.
发表日期	2019
ISSN	0930-7575
起始页码	5325
结束页码	5344
卷号	52 期号:2020-09-10
英文摘要	In this study, the subsurface temperature variability in the Tropical Indian Ocean (TIO) is examined in the Climate Forecast System version 2 (CFSv2) coupled model. The observations and reanalysis show a north–south dominant mode of variability in the TIO subsurface temperature during September–November, the season when the dominant east–west surface mode (Indian Ocean Dipole; IOD) peaks. The nature of the north–south dipole in TIO subsurface temperature is successfully captured by CFSv2. The observations however indicate that this subsurface mode, in general, persists for the next two seasons with stronger signals during December–February, whereas such tenacity is not seen in the model, instead rapid decay of the mode is seen in the model. It is found that the misrepresentation of both equatorial surface wind anomalies and associated Ekman transport as well as the Ekman pumping in the model have close association with the early weakening of the mode in CFSv2. The surface easterlies are generally modulated by the presence of twin anticyclones on both sides of the equator. The model captured these anticyclones with weaker than observed intensity and the northern anticyclone is confined over much smaller region than observed. Association of the subsurface mode with El Niño Southern Oscillation (ENSO) and IOD is further examined in this study. The anomalously prolonged decay phase of El Niño in CFSv2 is found only during the El Niño, IOD co-occurrence years, which was not reported before. This paves way for addressing an important modeling issue which is common in many coupled climate models including CFSv2. The analysis suggests the possible role of coupled air–sea interaction over the TIO on the El Niño cycle in the Pacific. It is also found that the misrepresentation of subsurface variability in CFSv2 during December–February is closely associated with the rapid decay of El Niño forced TIO warming. © 2018, Springer-Verlag GmbH Germany, part of Springer Nature.
语种	英语
scopus关键词	anticyclone; climate modeling; Ekman transport; El Nino; El Nino-Southern Oscillation; modeling; sea surface temperature; surface wind; temperature anomaly; Indian Ocean; Indian Ocean (Tropical)
来源期刊	Climate Dynamics
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/146358
作者单位	Indian Institute of Tropical Meteorology, Pune, 411008, India; Department of Atmospheric and Space Sciences, Savitribai Phule Pune University, Pune, India
推荐引用方式 GB/T 7714	Kakatkar R.,Gnanaseelan C.,Chowdary J.S.,et al. Biases in the Tropical Indian Ocean subsurface temperature variability in a coupled model[J],2019,52(2020-09-10).
APA	Kakatkar R.,Gnanaseelan C.,Chowdary J.S.,Deepa J.S.,&Parekh A..(2019).Biases in the Tropical Indian Ocean subsurface temperature variability in a coupled model.Climate Dynamics,52(2020-09-10).
MLA	Kakatkar R.,et al."Biases in the Tropical Indian Ocean subsurface temperature variability in a coupled model".Climate Dynamics 52.2020-09-10(2019).