Arctic September Sea Ice Concentration Biases in CMIP6 Models and Their Relationships with Other Model Variables

被引:2
|
作者
Frankignoul, Claude [1 ,2 ]
Raillard, Lea [3 ]
Ferster, Brady [4 ]
Kwon, Young-Oh [1 ,2 ]
机构
[1] Sorbonne Univ, CNRS, IRD, MNHM,UMR LOCEAN,IPSL, Paris, France
[2] Woods Hole Oceanog Inst, Woods Hole, MA 02543 USA
[3] IPSL, Lab Meteorol Dynam, Paris, France
[4] Yale Univ, Dept Earth & Planetary Sci, New Haven, CT USA
关键词
Arctic; Sea ice; Climate models; INTERNAL VARIABILITY; ATLANTIC;
D O I
10.1175/JCLI-D-23-0452.1
中图分类号
P4 [大气科学(气象学)];
学科分类号
0706 ; 070601 ;
摘要
The models that participated in the Coupled Model Intercomparison Project (CMIP) exhibit large biases in Arctic sea ice climatology that seem related to biases in seasonal atmospheric and oceanic circulations. Using historical runs of 34 CMIP6 models from 1979 to 2014, we investigate the links between the climatological sea ice concentration (SIC) biases in September and atmospheric and oceanic model climatologies. The main intermodel spread of September SIC is well described by two leading EOFs, which together explain ; 65% of its variance. The fi rst EOF represents an underestimation or overestimation of SIC in the whole Arctic, while the second EOF describes opposite SIC biases in the Atlantic and Pacific fi c sectors. Regression analysis indicates that the two SIC modes are closely related to departures from the multimodel mean of Arctic surface heat fl uxes during summer, primarily shortwave and longwave radiation, with incoming Atlantic Water playing a role in the Atlantic sector. Local and global links with summer cloud cover, low-level humidity, upper or lower troposphere temperature/circulation, and oceanic variables are also found. As illustrated for three climate models, the local relationships with the SIC biases are mostly similar in the Arctic across the models but show varying degrees of Atlantic inflow fl ow influence. fl uence. On a global scale, a strong influence fl uence of the summer atmospheric circulation on September SIC is suggested for one of the three models, while the atmospheric influence fl uence is primarily via thermodynamics in the other two. Clear links to the North Atlantic oceanic circulation are seen in one of the models.
引用
收藏
页码:4257 / 4274
页数:18
相关论文
共 50 条
  • [1] Arctic Sea Ice in CMIP6
    Notz, Dirk
    Doerr, Jakob
    Bailey, David A.
    Blockley, Ed
    Bushuk, Mitchell
    Debernard, Jens Boldingh
    Dekker, Evelien
    DeRepentigny, Patricia
    Docquier, David
    Fuckar, Neven S.
    Fyfe, John C.
    Jahn, Alexandra
    Holland, Marika
    Hunke, Elizabeth
    Iovino, Doroteaciro
    Khosravi, Narges
    Madec, Gurvan
    Massonnet, Francois
    O'Farrell, Siobhan
    Petty, Alek
    Rana, Arun
    Roach, Lettie
    Rosenblum, Erica
    Rousset, Clement
    Semmler, Tido
    Stroeve, Julienne
    Toyoda, Takahiro
    Tremblay, Bruno
    Tsujino, Hiroyuki
    Vancoppenolle, Martin
    GEOPHYSICAL RESEARCH LETTERS, 2020, 47 (10)
  • [2] Evaluation of Arctic sea ice simulation of CMIP6 models from China
    LI Jiaqi
    WANG Xiaochun
    WANG Ziqi
    ZHAO Liqing
    WANG Jin
    Advances in Polar Science, 2022, 33 (03) : 220 - 234
  • [3] Capacity of a set of CMIP6 models to simulate Arctic sea ice drift
    Zhang, Xinfang
    Haapala, Jari
    Uotila, Petteri
    ANNALS OF GLACIOLOGY, 2024,
  • [4] Evaluation and Projection of Arctic sea ice concentration under various emission scenarios using CMIP6 models
    Sardana, Divya
    Kulkarni, Sujata
    Agarwal, Ankit
    CLIMATE DYNAMICS, 2025, 63 (04)
  • [5] Multi-Aspect Assessment of CMIP6 Models for Arctic Sea Ice Simulation
    Long, Mengyuan
    Zhang, Lujun
    Hu, Siyu
    Qian, Shimeng
    JOURNAL OF CLIMATE, 2021, 34 (04) : 1515 - 1529
  • [6] An inter-comparison of the mass budget of the Arctic sea ice in CMIP6 models
    Keen, Ann
    Blockley, Ed
    Bailey, David A.
    Debernard, Jens Boldingh
    Bushuk, Mitchell
    Delhaye, Steve
    Docquier, David
    Feltham, Daniel
    Massonnet, Francois
    O'Farrell, Siobhan
    Ponsoni, Leandro
    Rodriguez, Jose M.
    Schroeder, David
    Swart, Neil
    Toyoda, Takahiro
    Tsujino, Hiroyuki
    Vancoppenolle, Martin
    Wyser, Klaus
    CRYOSPHERE, 2021, 15 (02): : 951 - 982
  • [7] Comparing the Arctic climate in Chinese and other CMIP6 models
    Ruilian He
    Mingkeng Duan
    AtmosphericandOceanicScienceLetters, 2023, 16 (06) : 10 - 17
  • [8] Assessment of Arctic sea ice and surface climate conditions in nine CMIP6 climate models
    Henke, Martin
    Cassalho, Felicio
    Miesse, Tyler
    Ferreira, Celso M.
    Zhang, Jinlun
    Ravens, Thomas M.
    ARCTIC ANTARCTIC AND ALPINE RESEARCH, 2023, 55 (01)
  • [9] An Intercomparison of Snow Mass Budget over Arctic Sea Ice Simulated by CMIP6 Models
    Chen, Shengzhe
    Liu, Jiping
    Song, Mirong
    Inoue, Jun
    Ding, Yifan
    JOURNAL OF CLIMATE, 2024, 37 (06) : 2119 - 2139
  • [10] Comparing the Arctic climate in Chinese and other CMIP6 models
    He, Ruilian
    Duan, Mingkeng
    ATMOSPHERIC AND OCEANIC SCIENCE LETTERS, 2023, 16 (06)