On the spring stratospheric final warming in CMIP5 and CMIP6 models

被引:4
|
作者
Hu, Jinggao [1 ]
Liu, Zexuan [1 ]
Xu, Haiming [1 ]
Ren, Rongcai [1 ,2 ]
Jin, Dachao [1 ]
机构
[1] Nanjing Univ Informat Sci & Technol, Joint Int Res Lab Climate & Environm Change ILCEC, Collaborat Innovat Ctr Forecast & Evaluat Meteoro, Key Lab Meteorol Disaster,Minist Educ KLME, Nanjing 210044, Peoples R China
[2] Chinese Acad Sci, Inst Atmospher Phys, State Key Lab Numer Modeling Atmospher Sci & Geop, Beijing 100029, Peoples R China
基金
中国国家自然科学基金;
关键词
Stratospheric final warming events; CMIP5 and CMIP6 models; Historical simulation; Southern and Northern Hemispheres; POLAR VORTEX; HIGH-TOP; VARIABILITY; EVENTS; CIRCULATION; PRECURSOR;
D O I
10.1007/s11430-021-9971-y
中图分类号
P [天文学、地球科学];
学科分类号
07 ;
摘要
This study evaluates the performance in simulating the stratospheric final warming events (SFWs) that lead to the final collapse of the stratospheric polar vortex in spring in both Southern and Northern Hemispheres (SH and NH, respectively) based on the historical simulations provided by the Coupled Model Intercomparison Project Phases 5 and 6 (CMIP5 and CMIP6, respectively). Overall, CMIP5 and CMIP6 models can reproduce the main characteristics of the occurrence of SFWs. However, the SFW onset date (SFWOD) is 7 and 9 days later than in observations in the SH and NH, respectively. Moreover, the intensity of SFWs in models is 50% to 70% of that in observations. Compared with CMIP5 models, CMIP6 models have an ameliorated capability to simulate NH SFWs. However, this improvement does not manifest as significantly earlier SFW onset, but as more intense stratospheric planetary wave activities before the SFW and as a larger interannual variability of the SFWOD. By contrast, in the SH, the capability of CMIP6 models is roughly unchanged, even deteriorated in the simulation of SFWOD and stratospheric planetary wave activities before the SFW onset. The performance of CMIP6 high-top models is better than that of low-top models. Specifically, in the NH, high-top models are considerably improved in terms of intensity of circumpolar zonal wind around the SFWOD and stratospheric planetary wave activities before the SFW onset. In the SH, high-top models show fairly earlier SFWOD by 11 days, which is closer to observations.
引用
收藏
页码:129 / 145
页数:17
相关论文
共 50 条
  • [41] ENSO phase-locking behavior in climate models: from CMIP5 to CMIP6
    Liu, Minghong
    Ren, Hong-Li
    Zhang, Renhe
    Ineson, Sarah
    Wang, Run
    ENVIRONMENTAL RESEARCH COMMUNICATIONS, 2021, 3 (03):
  • [42] Origins of the Excessive Westward Extension of ENSO SST Simulated in CMIP5 and CMIP6 Models
    Jiang, Wenping
    Huang, Ping
    Huang, Gang
    Ying, Jun
    JOURNAL OF CLIMATE, 2021, 34 (08) : 2839 - 2851
  • [43] Assessment of the Southern Ocean Sea Surface Temperature Biases in CMIP5 and CMIP6 Models
    Gao, Zhen
    Zhao, Shichang
    Liu, Qinyu
    Long, Shang-Min
    Sun, Shantong
    JOURNAL OF OCEAN UNIVERSITY OF CHINA, 2024, 23 (05) : 1135 - 1150
  • [44] The Mediterranean climate change hotspot in the CMIP5 and CMIP6 projections
    Cos, Josep
    Doblas-Reyes, Francisco
    Jury, Martin
    Marcos, Raul
    Bretonniere, Pierre-Antoine
    Samso, Margarida
    EARTH SYSTEM DYNAMICS, 2022, 13 (01) : 321 - 340
  • [45] Uncertainty in Projection of Climate Extremes: A Comparison of CMIP5 and CMIP6
    Shaobo Zhang
    Jie Chen
    Journal of Meteorological Research, 2021, 35 : 646 - 662
  • [46] Evaluation of Extreme Temperatures Over Australia in the Historical Simulations of CMIP5 and CMIP6 Models
    Deng, Xu
    Perkins-Kirkpatrick, Sarah E.
    Lewis, Sophie C.
    Ritchie, Elizabeth A.
    EARTHS FUTURE, 2021, 9 (07)
  • [47] Uncertainty in Projection of Climate Extremes: A Comparison of CMIP5 and CMIP6
    Shaobo ZHANG
    Jie CHEN
    Journal of Meteorological Research, 2021, 35 (04) : 646 - 662
  • [48] Evaluation of ENSO in CMIP5 and CMIP6 models and its significance in the rainfall in Northeast Thailand
    De Silva, Yenushi K.
    Babel, Mukand S.
    Abatan, Abayomi A.
    Khadka, Dibesh
    Shanmugasundaram, Jothiganesh
    THEORETICAL AND APPLIED CLIMATOLOGY, 2023, 154 (3-4) : 881 - 906
  • [49] Annual and seasonal mean tropical and subtropical precipitation bias in CMIP5 and CMIP6 models
    Li, J-L F.
    Xu, Kuan-Man
    Richardson, Mark
    Lee, Wei-Liang
    Jiang, J. H.
    Yu, Jia-Yuh
    Wang, Yi-Hui
    Fetzer, Eric
    Wang, Li-Chiao
    Stephens, Graeme
    Liang, Hsin-Chien
    ENVIRONMENTAL RESEARCH LETTERS, 2020, 15 (12):
  • [50] Evaluating the Eastward Propagation of the MJO in CMIP5 and CMIP6 Models Based on a Variety of Diagnostics
    Li, Yue
    Wu, Jiye
    Luo, Jing-Jia
    Yang, Young Min
    JOURNAL OF CLIMATE, 2022, 35 (06) : 1719 - 1743