Vertical structure and physical processes of the Madden-Julian oscillation: Exploring key model physics in climate simulations

被引:318
作者
Jiang, Xianan [1 ,2 ]
Waliser, Duane E. [1 ,2 ]
Xavier, Prince K. [3 ]
Petch, Jon [3 ]
Klingaman, Nicholas P. [4 ,5 ]
Woolnough, Steven J. [4 ,5 ]
Guan, Bin [1 ,2 ]
Bellon, Gilles [6 ]
Crueger, Traute [7 ]
DeMott, Charlotte [8 ]
Hannay, Cecile [9 ]
Lin, Hai [10 ]
Hu, Wenting [11 ]
Kim, Daehyun [12 ]
Lappen, Cara-Lyn [13 ]
Lu, Mong-Ming [14 ]
Ma, Hsi-Yen [15 ]
Miyakawa, Tomoki [16 ]
Ridout, James A. [17 ]
Schubert, Siegfried D. [18 ]
Scinocca, John [19 ]
Seo, Kyong-Hwan [20 ]
Shindo, Eiki [21 ]
Song, Xiaoliang [22 ]
Stan, Cristiana [23 ]
Tseng, Wan-Ling [24 ]
Wang, Wanqiu [25 ]
Wu, Tongwen [26 ]
Wu, Xiaoqing [27 ]
Wyser, Klaus [28 ]
Zhang, Guang J. [22 ]
Zhu, Hongyan [29 ]
机构
[1] Univ Calif Los Angeles, Joint Inst Reg Earth Syst Sci & Engn, Los Angeles, CA 90089 USA
[2] CALTECH, Jet Prop Lab, Pasadena, CA USA
[3] UK Met Off, Exeter, Devon, England
[4] Natl Ctr Atmospher Sci, Reading, Berks, England
[5] Univ Reading, Dept Meteorol, Reading, Berks, England
[6] CNRS, Meteo France, CNRM GAME, Toulouse, France
[7] Max Planck Inst Meteorol, Hamburg, Germany
[8] Colorado State Univ, Dept Atmospher Sci, Ft Collins, CO 80523 USA
[9] Natl Ctr Atmospher Res, Boulder, CO 80307 USA
[10] Environm Canada, Dorval, PQ, Canada
[11] Chinese Acad Sci, Inst Atmospher Phys, State Key Lab Numer Modeling Atmospher Sci & Geop, Beijing, Peoples R China
[12] Columbia Univ, Lamont Doherty Earth Observ, New York, NY USA
[13] Texas A&M Univ, Dept Atmospher Sci, College Stn, TX USA
[14] Cent Weather Bur, Taipei, Taiwan
[15] Lawrence Livermore Natl Lab, Livermore, CA USA
[16] Japan Agcy Marine Earth Sci & Technol, Dept Coupled Ocean Atmosphere Land Proc Res, Yokosuka, Kanagawa 2370061, Japan
[17] Naval Res Lab, Monterey, CA USA
[18] NASA GSFC, Global Modeling & Assimilat Off, Greenbelt, MD USA
[19] Environm Canada, Canadian Ctr Climate Modelling & Anal, Victoria, BC, Canada
[20] Pusan Natl Univ, Dept Atmospher Sci, Pusan 609735, South Korea
[21] Meteorol Res Inst, Climate Res Dept, Tsukuba, Ibaraki 305, Japan
[22] Univ Calif San Diego, Scripps Inst Oceanog, La Jolla, CA 92093 USA
[23] George Mason Univ, Dept Atmospher Ocean & Earth Sci, Fairfax, VA 22030 USA
[24] Acad Sinica, Univ Res Ctr Environm Changes, Taipei 115, Taiwan
[25] NOAA, Natl Ctr Environm Predict, Climate Predict Ctr, Camp Springs, MD USA
[26] China Meteorol Adm, Beijing Climate Ctr, Beijing, Peoples R China
[27] Iowa State Univ, Dept Geol & Atmospher Sci, Ames, IA USA
[28] Swedish Meteorol & Hydrol Inst, Rossby Ctr, S-60176 Norrkoping, Sweden
[29] Bur Meteorol, Ctr Australian Weather & Climate Res, Melbourne, Vic, Australia
基金
美国国家科学基金会; 新加坡国家研究基金会;
关键词
Madden-Julian oscillation; general circulation model; moist convection; multiscale interaction; MOIST STATIC ENERGY; TROPICAL INTRASEASONAL OSCILLATION; CONVECTIVE MOMENTUM TRANSPORT; GENERAL-CIRCULATION MODEL; COUPLED EQUATORIAL WAVES; AIR-SEA INTERACTION; TOGA COARE IOP; PART I; INDIAN-OCEAN; MARITIME CONTINENT;
D O I
10.1002/2014JD022375
中图分类号
P4 [大气科学(气象学)];
学科分类号
0706 ; 070601 ;
摘要
Aimed at reducing deficiencies in representing the Madden-Julian oscillation (MJO) in general circulation models (GCMs), a global model evaluation project on vertical structure and physical processes of the MJO was coordinated. In this paper, results from the climate simulation component of this project are reported. It is shown that the MJO remains a great challenge in these latest generation GCMs. The systematic eastward propagation of the MJO is only well simulated in about one fourth of the total participating models. The observed vertical westward tilt with altitude of the MJO is well simulated in good MJO models but not in the poor ones. Damped Kelvin wave responses to the east of convection in the lower troposphere could be responsible for the missing MJO preconditioning process in these poor MJO models. Several process-oriented diagnostics were conducted to discriminate key processes for realistic MJO simulations. While large-scale rainfall partition and low-level mean zonal winds over the Indo-Pacific in a model are not found to be closely associated with its MJO skill, two metrics, including the low-level relative humidity difference between high- and low-rain events and seasonal mean gross moist stability, exhibit statistically significant correlations with the MJO performance. It is further indicated that increased cloud-radiative feedback tends to be associated with reduced amplitude of intraseasonal variability, which is incompatible with the radiative instability theory previously proposed for the MJO. Results in this study confirm that inclusion of air-sea interaction can lead to significant improvement in simulating the MJO.
引用
收藏
页码:4718 / 4748
页数:31
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