Improvements and Persistent Biases in the Ocean Climatology Simulated by the Beijing Climate Center Climate System Models from CMIP5 to CMIP6

被引:0
|
作者
Ma, Libin [1 ,2 ,3 ]
Wan, Chong [2 ]
Wu, Tongwen [1 ,2 ,3 ]
Lu, Yixiong [1 ,2 ,3 ]
Wu, Fanghua [1 ,2 ,3 ]
Fang, Yongjie [1 ,2 ,3 ]
Li, Jianglong [1 ,2 ,3 ]
Xin, Xiaoge [1 ,2 ,3 ]
He, Ying [1 ,2 ,3 ]
机构
[1] CMA Earth Syst Modeling & Predict Ctr, Beijing, Peoples R China
[2] Chinese Acad Meteorol Sci, State Key Lab Severe Disaster, Beijing, Peoples R China
[3] China Meteorol Adm, Key Lab Earth Syst Modeling & Predict, Beijing, Peoples R China
基金
中国国家自然科学基金;
关键词
BCC-CSM; CMIP; hydrographic characteristics; ocean circulation; MERIDIONAL OVERTURNING CIRCULATION; EMBEDDED LAGRANGIAN MODEL; SEA-ICE MODEL; PART I; BCC-CSM; PACIFIC; IMPACTS; VARIABILITY; ATMOSPHERE; ATLANTIC;
D O I
10.1007/s00376-024-4049-2
中图分类号
P4 [大气科学(气象学)];
学科分类号
0706 ; 070601 ;
摘要
This study evaluates the ocean climatology simulated by the Beijing Climate Center Climate System Models (BCC-CSMs) participating in phases 5 and 6 of the Coupled Model Intercomparison Project (CMIP5 and CMIP6). CMIP6 BCC models generally outperform CMIP5 ones in reproducing ocean states. The CMIP6 high-resolution model, BCC-CSM2-HR, with an enhanced ocean component, exhibits the best simulation performance overall. Specifically, only BCC-CSM2-HR can accurately reproduce the southern equatorial current in the Pacific Ocean, implying the benefits of an enhanced ocean component. Persistent biases are also identified in BCC models across CMIP5 to CMIP6, including substantial biases in sea surface salinity in the Arctic Ocean, warm biases in the intermediate and deep ocean, and notable salinity biases in the northern Indian Ocean. These biases are also commonly presented in other CMIP5 and CMIP6 models. Furthermore, this study evaluates how BCC models simulate modes of climate variability, such as ENSO (El Ni & ntilde;o-Southern Oscillation), PDO (Pacific Decadal Oscillation), and NPGO (North Pacific Gyre Oscillation). Future plans are also outlined, including the online integration of an ocean surface wave model and the refinement of model resolution, for development efforts aimed at bolstering the accuracy and reliability of BCC model simulations of ocean climatology.
引用
收藏
页码:921 / 951
页数:31
相关论文
共 50 条
  • [41] Eastern equatorial Pacific SST seasonal cycle in global climate models: from CMIP5 to CMIP6
    Zhenya Song
    Hailong Liu
    Xingrong Chen
    Acta Oceanologica Sinica, 2020, 39 : 50 - 60
  • [42] Assessment and Ranking of Climate Models in Arctic Sea Ice Cover Simulation: From CMIP5 to CMIP6
    Shen, Zili
    Duan, Anmin
    Li, Dongliang
    Li, Jinxiao
    JOURNAL OF CLIMATE, 2021, 34 (09) : 3609 - 3627
  • [43] Future changes of global potential evapotranspiration simulated from CMIP5 to CMIP6 models
    Liu, Xinlei
    Li, Chunxiang
    Zhao, Tianbao
    Han, Lin
    ATMOSPHERIC AND OCEANIC SCIENCE LETTERS, 2020, 13 (06) : 568 - 575
  • [44] Changes to population-based emergence of climate change from CMIP5 to CMIP6
    Douglas, Hunter C.
    Harrington, Luke J.
    Joshi, Manoj
    Hawkins, Ed
    Revell, Laura E.
    Frame, David J.
    ENVIRONMENTAL RESEARCH LETTERS, 2023, 18 (01)
  • [45] On the increased climate sensitivity in the EC-Earth model from CMIP5 to CMIP6
    Wyser, Klaus
    van Noije, Twan
    Yang, Shuting
    von Hardenberg, Jost
    O'Donnell, Declan
    Doscher, Ralf
    GEOSCIENTIFIC MODEL DEVELOPMENT, 2020, 13 (08) : 3465 - 3474
  • [46] Carbon-concentration and carbon-climate feedbacks in CMIP6 models and their comparison to CMIP5 models
    Arora, Vivek K.
    Katavouta, Anna
    Williams, Richard G.
    Jones, Chris D.
    Brovkin, Victor
    Friedlingstein, Pierre
    Schwinger, Jorg
    Bopp, Laurent
    Boucher, Olivier
    Cadule, Patricia
    Chamberlain, Matthew A.
    Christian, James R.
    Delire, Christine
    Fisher, Rosie A.
    Hajima, Tomohiro
    Ilyina, Tatiana
    Joetzjer, Emilie
    Kawamiya, Michio
    Koven, Charles D.
    Krasting, John P.
    Law, Rachel M.
    Lawrence, David M.
    Lenton, Andrew
    Lindsay, Keith
    Pongratz, Julia
    Raddatz, Thomas
    Seferian, Roland
    Tachiiri, Kaoru
    Tjiputra, Jerry F.
    Wiltshire, Andy
    Wu, Tongwen
    Ziehn, Tilo
    BIOGEOSCIENCES, 2020, 17 (16) : 4173 - 4222
  • [47] Reductions in daily continental-scale atmospheric circulation biases between generations of global climate models: CMIP5 to CMIP6
    Cannon, Alex J.
    ENVIRONMENTAL RESEARCH LETTERS, 2020, 15 (06):
  • [48] Comparison of precipitation projections of CMIP5 and CMIP6 global climate models over Yulin, China
    Shiru, Mohammed Sanusi
    Chung, Eun-Sung
    Shahid, Shamsuddin
    Wang, Xiao-jun
    THEORETICAL AND APPLIED CLIMATOLOGY, 2022, 147 (1-2) : 535 - 548
  • [49] Intermodel Spread in the Pattern Effect and Its Contribution to Climate Sensitivity in CMIP5 and CMIP6 Models
    Dong, Yue
    Armour, Kyle C.
    Zelinka, Mark D.
    Proistosescu, Cristian
    Battisti, David S.
    Zhou, Chen
    Andrews, Timothy
    JOURNAL OF CLIMATE, 2020, 33 (18) : 7755 - 7775
  • [50] Comparison of precipitation projections of CMIP5 and CMIP6 global climate models over Yulin, China
    Mohammed Sanusi Shiru
    Eun-Sung Chung
    Shamsuddin Shahid
    Xiao-jun Wang
    Theoretical and Applied Climatology, 2022, 147 : 535 - 548