Improved Climate Simulation by MIROC5. Mean States, Variability, and Climate Sensitivity

被引:999
|
作者
Watanabe, Masahiro [1 ]
Suzuki, Tatsuo [2 ]
O'ishi, Ryouta
Komuro, Yoshiki [2 ]
Watanabe, Shingo [2 ]
Emori, Seita [2 ,3 ]
Takemura, Toshihiko [4 ]
Chikira, Minoru [2 ]
Ogura, Tomoo [3 ]
Sekiguchi, Miho [5 ]
Takata, Kumiko [2 ]
Yamazaki, Dai [6 ]
Yokohata, Tokuta [2 ]
Nozawa, Toru [3 ]
Hasumi, Hiroyasu
Tatebe, Hiroaki [2 ]
Kimoto, Masahide
机构
[1] Univ Tokyo, Atmosphere & Ocean Res Inst, Ctr Climate Syst Res, 5 1 5 Kashiwanoha, Kashiwa, Chiba 2778568, Japan
[2] Japan Agcy Marine Earth Sci & Technol, Yokohama, Kanagawa, Japan
[3] Natl Inst Environm Studies, Tsukuba, Ibaraki, Japan
[4] Kyushu Univ, Fukuoka 812, Japan
[5] Tokyo Univ Marine Sci & Technol, Tokyo, Japan
[6] Univ Tokyo, Inst Ind Sci, Tokyo, Japan
关键词
TURBULENCE CLOSURE-MODEL; GENERAL-CIRCULATION; THICKNESS DISTRIBUTION; BOUNDARY-LAYER; CUMULUS PARAMETERIZATION; HORIZONTAL RESOLUTION; GLOBAL DISTRIBUTION; TEMPERATURE; SURFACE; CLOUDS;
D O I
10.1175/2010JCLI3679.1
中图分类号
P4 [大气科学(气象学)];
学科分类号
0706 ; 070601 ;
摘要
A new version of the atmosphere ocean general circulation model cooperatively produced by the Japanese research community known as the Model for Interdisciplinary Research on Climate (MIROC) has recently been developed A century long control experiment was performed using the new version (MIROC5) with the standard resolution of the T85 atmosphere and 1 degrees ocean models The climatological mean state and variability are then compared with observations and those in a previous version (MIROC3 2) with two different resolutions (medres hires) coarser and finer than the resolution of MIROC5 A few aspects of the mean fields in MIROC5 are similar to or slightly worse than MIROC3 2 but otherwise the climatological features are considerably better In particular improvements are found in precipitation zonal mean atmospheric fields equatorial ocean subsurface fields and the simulation of El Nino-Southern Oscillation The difference between MIROC5 and the previous model is larger than that between the two MIROC3 2 versions indicating a greater effect of updating parameterization schemes on the model climate than increasing the model resolution The mean cloud property obtained from the sophisticated prognostic schemes in MIROC5 shows good agreement with satellite measurements MIROC5 reveals an equilibrium climate sensitivity of 2 6 K which is lower than that in MIROC3 2 by 1 K This is probably due to the negative feedback of low clouds to the increasing concentration of CO2 which is opposite to that in MIROC3 2
引用
收藏
页码:6312 / 6335
页数:24
相关论文
共 50 条
  • [1] Description and basic evaluation of simulated mean state, internal variability, and climate sensitivity in MIROC6
    Tatebe, Hiroaki
    Ogura, Tomoo
    Nitta, Tomoko
    Komuro, Yoshiki
    Ogochi, Koji
    Takemura, Toshihiko
    Sudo, Kengo
    Sekiguchi, Miho
    Abe, Manabu
    Saito, Fuyuki
    Chikira, Minoru
    Watanabe, Shingo
    Mori, Masato
    Hirota, Nagio
    Kawatani, Yoshio
    Mochizuki, Takashi
    Yoshimura, Kei
    Takata, Kumiko
    O'ishi, Ryouta
    Yamazaki, Dai
    Suzuki, Tatsuo
    Kurogi, Masao
    Kataoka, Takahito
    Watanabe, Masahiro
    Kimoto, Masahide
    GEOSCIENTIFIC MODEL DEVELOPMENT, 2019, 12 (07) : 2727 - 2765
  • [2] Climate sensitivity functions and net primary production: A framework for incorporating climate mean and variability
    Rudgers, Jennifer A.
    Chung, Y. Anny
    Maurer, Gregory E.
    Moore, Douglas I.
    Muldavin, Esteban H.
    Litvak, Marcy E.
    Collins, Scott L.
    ECOLOGY, 2018, 99 (03) : 576 - 582
  • [3] Sensitivity of Arctic Climate Variability to Mean State: Insights from the Cretaceous
    Poulsen, Christopher J.
    Zhou, Jing
    JOURNAL OF CLIMATE, 2013, 26 (18) : 7003 - 7022
  • [4] Ecosystem sensitivity to climate variability
    Li, Y
    IGARSS 2005: IEEE International Geoscience and Remote Sensing Symposium, Vols 1-8, Proceedings, 2005, : 5361 - 5364
  • [5] CLIMATE VARIABILITY, SENSITIVITY DRIFT, AND "LUMPY" CLIMATE CHANGE
    Swanson, Kyle L.
    INTERNATIONAL SEMINAR ON NUCLEAR WAR AND PLANETARY EMERGENCIES 40TH SESSION, 2010, : 93 - 107
  • [6] TROPICAL INTERANNUAL VARIABILITY IN A GLOBAL COUPLED GCM - SENSITIVITY TO MEAN CLIMATE STATE
    MOORE, AM
    JOURNAL OF CLIMATE, 1995, 8 (04) : 807 - 828
  • [7] Comprehensive Impact of Changing Siberian Wildfire Severities on Air Quality, Climate, and Economy: MIROC5 Global Climate Model's Sensitivity Assessments
    Yasunari, Teppei J.
    Narita, Daiju
    Takemura, Toshihiko
    Wakabayashi, Shigeto
    Takeshima, Akira
    EARTHS FUTURE, 2024, 12 (04)
  • [8] The simulation of moisture processes in climate models and climate sensitivity
    Hu, HJ
    Oglesby, RJ
    Marshall, S
    JOURNAL OF CLIMATE, 2005, 18 (13) : 2172 - 2193
  • [9] Regional climate model simulation of precipitation in central Asia: Mean and interannual variability
    Small, EE
    Giorgi, F
    Sloan, LC
    JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES, 1999, 104 (D6) : 6563 - 6582
  • [10] Assessment of the Sensitivity of the Mean Climate Simulation over West Africa to Planetary Boundary Layer Parameterization Using RegCM5 Regional Climate Model
    Silue, Foungnigue
    Diawara, Adama
    Kone, Brahima
    Diedhiou, Arona
    Kouassi, Adjon Anderson
    Kouassi, Benjamin Komenan
    Yoroba, Fidele
    Bamba, Adama
    Kouadio, Kouakou
    Tiemoko, Dro Toure
    Yapo, Assi Louis Martial
    Kone, Dianicoura Ibrahim
    Famien, Adjoua Moise Landry
    ATMOSPHERE, 2024, 15 (03)