Blocking Simulations in GFDL GCMs for CMIP5 and CMIP6

被引:5
|
作者
Liu, Ping [1 ]
Reed, Kevin A. [1 ]
Garner, Stephen T. [2 ]
Zhao, Ming [2 ]
Zhu, Yuejian [3 ]
机构
[1] SUNY Stony Brook, Sch Marine & Atmospher Sci, Stony Brook, NY 11794 USA
[2] NOAA, GFDL, Princeton, NJ 20230 USA
[3] NOAA, EMC, NCEP, NWS,Environm Modeling Ctr, Camp Springs, MD USA
基金
美国国家科学基金会;
关键词
Anticyclones; Blocking; Numerical analysis; modeling; NORTHERN-HEMISPHERE BLOCKING; ATMOSPHERIC BLOCKING; CLIMATE; CIRCULATION; PERSPECTIVE; PREDICTION; MODELS; BIASES;
D O I
10.1175/JCLI-D-21-0456.1
中图分类号
P4 [大气科学(气象学)];
学科分类号
0706 ; 070601 ;
摘要
The frequency of atmospheric blocking has been largely underestimated by general circulation models (GCMs) participating in the Coupled Model Intercomparison Project (CMIP). Errors in the onset, persistence, barotropicity, geographical preference, seasonality, intensity, and moving speed of global blocking were diagnosed in 10 Geophysical Fluid Dynamics Laboratory (GFDL) GCMs for recent CMIP5 and CMIP6 using a detection approach that combines zonal eddies and the reversal of zonal winds. The blocking frequency, similar at 500 and 250 hPa, is underestimated by 50% in the Atlantic-Europe region during December-February but is overestimated by 60% in the Pacific-North America region during that season and by 70% in the southwest Pacific during July-August. These blocking biases at 500 hPa were investigated in the five CMIP6 models that showed improvements over the CMIP5 versions. The Atlantic-Europe underestimate corresponds to lower instantaneous blocking rates, lower persistent blocking rates, and higher persistent stationary ridge rates; the number of blocks with a duration of 4-5 days is only 40%-65% of that in observations. In contrast, the overestimate consists of excessive blocks with a duration longer than 12 days in the Pacific-North America and up to twice as many 4-6-day events in the southwest Pacific. Simulated December-February blocks up to 12 days in the Pacific-North America region tend to be stronger and to move more slowly than those in observations. Diagnostic sensitivity tests indicated that the zonal mean and zonal eddy components of the mean state play a key role, as replacing each with that of observations substantially reduced many of the outstanding biases in these GCMs.
引用
收藏
页码:5053 / 5070
页数:18
相关论文
共 50 条
  • [21] Uncertainty in Projection of Climate Extremes: A Comparison of CMIP5 and CMIP6
    Shaobo Zhang
    Jie Chen
    Journal of Meteorological Research, 2021, 35 : 646 - 662
  • [22] 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
  • [23] Decomposing Temperature Extremes Errors in CMIP5 and CMIP6 Models
    Di Luca, Alejandro
    Pitman, Andrew J.
    de Elia, Ramon
    GEOPHYSICAL RESEARCH LETTERS, 2020, 47 (14)
  • [24] Uncertainty in Projection of Climate Extremes: A Comparison of CMIP5 and CMIP6
    Shaobo ZHANG
    Jie CHEN
    JournalofMeteorologicalResearch, 2021, 35 (04) : 646 - 662
  • [25] The potential mechanisms of the dominant timescale of AMOC multidecadal variability in CMIP6/CMIP5 preindustrial simulations
    Xiaofan Ma
    Gang Huang
    Xichen Li
    Shouwei Li
    Climate Dynamics, 2023, 60 : 2131 - 2145
  • [26] Model uncertainties in climate change impacts on Sahel precipitation in ensembles of CMIP5 and CMIP6 simulations
    Monerie, Paul-Arthur
    Wainwright, Caroline M.
    Sidibe, Moussa
    Akinsanola, Akintomide Afolayan
    CLIMATE DYNAMICS, 2020, 55 (5-6) : 1385 - 1401
  • [27] Projections of river floods in Europe using EURO-CORDEX, CMIP5 and CMIP6 simulations
    Di Sante, Fabio
    Coppola, Erika
    Giorgi, Filippo
    INTERNATIONAL JOURNAL OF CLIMATOLOGY, 2021, 41 (05) : 3203 - 3221
  • [28] Evaluation of the seasonal to decadal variability in dynamic sea level simulations from CMIP5 to CMIP6
    Chenyang Jin
    Hailong Liu
    Pengfei Lin
    Geoscience Letters, 10
  • [29] The potential mechanisms of the dominant timescale of AMOC multidecadal variability in CMIP6/CMIP5 preindustrial simulations
    Ma, Xiaofan
    Huang, Gang
    Li, Xichen
    Li, Shouwei
    CLIMATE DYNAMICS, 2023, 60 (7-8) : 2131 - 2145
  • [30] Improvements in Cloud and Water Vapor Simulations Over the Tropical Oceans in CMIP6 Compared to CMIP5
    Jiang, Jonathan H.
    Su, Hui
    Wu, Longtao
    Zhai, Chengxing
    Schiro, Kathleen A.
    EARTH AND SPACE SCIENCE, 2021, 8 (05)