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 Yongqiang5,6; Song Zhenya7,8,9,10; Ren Hong-Li11,12,13; Tang Youmin14,15; Qiao Fangli7,8,9,10; Wu Tongwen16,17; Gao Chuan1,2,3; Hu Junye1,2,3; Tian Feng1,2,3; Zhu Yuchao1,2,3; Chen Lin6,16,17; Liu Hailong6; Lin Pengfei6; Wu Fanghua18; Wang Lin11,12,13
2020-07-01
Source PublicationJOURNAL OF OCEANOLOGY AND LIMNOLOGY
ISSN2096-5508
Volume38Issue:4Pages:930-961
Corresponding AuthorZhang Rong-Hua(rzhang@qdio.ac.cn)
AbstractEl 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.
KeywordEl Nino-Southern Oscillation (ENSO) coupled ocean-atmosphere models simulations and predictions model biases and uncertainties
DOI10.1007/s00343-020-0157-8
Indexed BySCI
Language英语
WOS Research AreaMarine & Freshwater Biology ; Oceanography
WOS SubjectLimnology ; Oceanography
WOS IDWOS:000551529700003
PublisherSCIENCE PRESS
Citation statistics
Cited Times:2[WOS]   [WOS Record]     [Related Records in WOS]
Document Type期刊论文
Identifierhttp://ir.qdio.ac.cn/handle/337002/168000
Collection海洋环流与波动重点实验室
Corresponding AuthorZhang Rong-Hua
Affiliation1.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
First Author AffilicationKey Laboratory of Ocean Circulation and Wave Studies, Institute of Oceanology, Chinese Academy of Sciences;  Center for Ocean Mega-Science, Chinese Academy of Sciences
Corresponding Author AffilicationKey Laboratory of Ocean Circulation and Wave Studies, Institute of Oceanology, Chinese Academy of Sciences;  Center for Ocean Mega-Science, Chinese Academy of Sciences
Recommended Citation
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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