A review of progress in coupled ocean-atmosphere model developments for ENSO studies in China

doi:10.1007/s00343-020-0157-8

IOCAS-IR > 海洋环流与波动重点实验室

	A review of progress in coupled ocean-atmosphere model developments for ENSO studies in China
	Zhang Rong-Hua1,2,3,4,5 ; Yu Yongqiang 5,6; Song Zhenya 7,8,9,10; Ren Hong-Li 11,12,13; Tang Youmin 14,15; Qiao Fangli 7,8,9,10; Wu Tongwen 16,17; Gao Chuan1,2,3 ; Hu Junye 1,2,3; Tian Feng 1,2,3; Zhu Yuchao1,2,3 ; Chen Lin 6,16,17; Liu Hailong 6; Lin Pengfei 6; Wu Fanghua 18; Wang Lin11,12,13
	2020-07-01
发表期刊	JOURNAL OF OCEANOLOGY AND LIMNOLOGY
ISSN	2096-5508
卷号	38 期号:4 页码:930-961
通讯作者	Zhang Rong-Hua([email protected])
摘要	El Nino-Southern Oscillation (ENSO) is the strongest interannual signal that is produced by basinscale processes in the tropical Pacific, with significant effects on weather and climate worldwide. In the past, extensive and intensive international efforts have been devoted to coupled model developments for ENSO studies. A hierarchy of coupled ocean-atmosphere models has been formulated; in terms of their complexity, they can be categorized into intermediate coupled models (ICMs), hybrid coupled models (HCMs), and fully coupled general circulation models (CGCMs). ENSO modeling has made signifiscant progress over the past decades, reaching a stage where coupled models can now be used to successfully predict ENSO events 6 months to one year in advance. Meanwhile, ENSO exhibits great diversity and complexity as observed in nature, which still cannot be adequately captured by current state-of-the-art coupled models, presenting a challenge to ENSO modeling. We primarily reviewed the long-term efforts in ENSO modeling continually and steadily made at different institutions in China; some selected representative examples are presented here to review the current status of ENSO model developments and applications, which have been actively pursued with noticeable progress being made recently. As ENSO simulations are very sensitive to model formulations and process representations etc., dedicated efforts have been devoted to ENSO model developments and improvements. Now, different ocean-atmosphere coupled models have been available in China, which exhibit good model performances and have already had a variety of applications to climate modeling, including the Coupled Model Intercomparison Project Phase 6 (CMIP6). Nevertheless, large biases and uncertainties still exist in ENSO simulations and predictions, and there are clear rooms for their improvements, which are still an active area of researches and applications. Here, model performances of ENSO simulations are assessed in terms of advantages and disadvantages with these differently formulated coupled models, pinpointing to the areas where they need to be further improved for ENSO studies. These analyses provide valuable guidance for future improvements in ENSO simulations and predictions.
关键词	El Nino-Southern Oscillation (ENSO) coupled ocean-atmosphere models simulations and predictions model biases and uncertainties
DOI	10.1007/s00343-020-0157-8
收录类别	SCI
语种	英语
WOS研究方向	Marine & Freshwater Biology ; Oceanography
WOS类目	Limnology ; Oceanography
WOS记录号	WOS:000551529700003
出版者	SCIENCE PRESS
引用统计	被引频次：69[WOS] [WOS记录] [WOS相关记录]
文献类型	期刊论文
条目标识符	http://ir.qdio.ac.cn/handle/337002/168000
专题	海洋环流与波动重点实验室
通讯作者	Zhang Rong-Hua
作者单位	1.Chinese Acad Sci, Inst Oceanol, Key Lab Ocean Circulat & Waves, Qingdao 266071, Peoples R China 2.Chinese Acad Sci, Ctr Ocean Megasci, Qingdao 266071, Peoples R China 3.Pilot Natl Lab Marine Sci & Technol, Lab Ocean & Climate Dynam, Qingdao 266237, Peoples R China 4.Chinese Acad Sci, Ctr Excellence Quaternary Sci & Global Change, Xian 710061, Peoples R China 5.Univ Chinese Acad Sci, Beijing 100049, Peoples R China 6.Chinese Acad Sci, Inst Atmospher Phys, LASG, Beijing 100049, Peoples R China 7.Minist Nat Resources, Inst Oceanog 1, Qingdao 266061, Peoples R China 8.Pilot Natl Lab Marine Sci & Technol, Lab Reg Oceanog & Numer Modeling, Qingdao 266237, Peoples R China 9.Minist Nat Resources, Key Lab Marine Sci & Numer Modeling MASNUM, Qingdao 266061, Peoples R China 10.Natl Engn Lab Integrated Aerosp Ground Ocean Big, Qingdao 266061, Peoples R China 11.Chinese Acad Meteorol Sci, State Key Lab Severe Weather, Beijing 100081, Peoples R China 12.China Meteorol Adm, Lab Climate Studies, Natl Climate Ctr, Beijing 100081, Peoples R China 13.China Meteorol Adm, CMA NJU Joint Lab Climate Predict Studies, Natl Climate Ctr, Beijing 100081, Peoples R China 14.Univ Northern British Columbia, Environm Sci & Engn, Prince George, BC V2N 4Z9, Canada 15.Minist Nat Resources, State Key Lab Satellite Ocean Environm Dynam, Inst Oceanog 2, Hangzhou 310012, Peoples R China 16.Nanjing Univ Informat Sci & Technol, Key Lab Meteorol Disaster, Minist Educ KLME, Nanjing 210044, Peoples R China 17.Nanjing Univ Informat Sci & Technol, Collaborat Innovat Ctr Forecast & Evaluat Meteoro, Nanjing 210044, Peoples R China 18.China Meteorol Adm, Beijing Climate Ctr, Beijing 100081, Peoples R China
第一作者单位	海洋环流与波动重点实验室; 中国科学院海洋大科学研究中心
通讯作者单位	海洋环流与波动重点实验室; 中国科学院海洋大科学研究中心
推荐引用方式 GB/T 7714	Zhang Rong-Hua,Yu Yongqiang,Song Zhenya,et al. A review of progress in coupled ocean-atmosphere model developments for ENSO studies in China[J]. JOURNAL OF OCEANOLOGY AND LIMNOLOGY,2020,38(4):930-961.
APA	Zhang Rong-Hua.,Yu Yongqiang.,Song Zhenya.,Ren Hong-Li.,Tang Youmin.,...&Wang Lin.(2020).A review of progress in coupled ocean-atmosphere model developments for ENSO studies in China.JOURNAL OF OCEANOLOGY AND LIMNOLOGY,38(4),930-961.
MLA	Zhang Rong-Hua,et al."A review of progress in coupled ocean-atmosphere model developments for ENSO studies in China".JOURNAL OF OCEANOLOGY AND LIMNOLOGY 38.4(2020):930-961.

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