Simulated Climate and Climate Change in the GFDL CM2.5 High-Resolution Coupled Climate Model

被引:440
|
作者
Delworth, Thomas L. [1 ]
Rosati, Anthony [1 ]
Anderson, Whit [1 ]
Adcroft, Alistair J.
Balaji, V.
Benson, Rusty [1 ]
Dixon, Keith [1 ]
Griffies, Stephen M. [1 ]
Lee, Hyun-Chul [1 ,2 ]
Pacanowski, Ronald C. [1 ]
Vecchi, Gabriel A. [1 ]
Wittenberg, Andrew T. [1 ]
Zeng, Fanrong [1 ]
Zhang, Rong [1 ]
机构
[1] Princeton Univ, NOAA, GFDL, Princeton, NJ 08542 USA
[2] High Performance Technol Inc, Reston, VA USA
关键词
EL-NINO; SEA-ICE; GLOBAL PRECIPITATION; MESOSCALE EDDIES; NUMERICAL-MODEL; PART I; OCEAN; VARIABILITY; TRANSPORT; IMPACT;
D O I
10.1175/JCLI-D-11-00316.1
中图分类号
P4 [大气科学(气象学)];
学科分类号
0706 ; 070601 ;
摘要
The authors present results for simulated climate and climate change from a newly developed high-resolution global climate model [Geophysical Fluid Dynamics Laboratory Climate Model version 2.5 (GFDL CM2.5)]. The GFDL CM2.5 has an atmospheric resolution of approximately 50 km in the horizontal, with 32 vertical levels. The horizontal resolution in the ocean ranges from 28 km in the tropics to 8 km at high latitudes, with 50 vertical levels. This resolution allows the explicit simulation of some mesoscale eddies in the ocean, particularly at lower latitudes. Analyses are presented based on the output of a 280-yr control simulation; also presented are results based on a 140-yr simulation in which atmospheric CO2 increases at 1% yr(-1) until doubling after 70 yr. Results are compared to GFDL CM2.1, which has somewhat similar physics but a coarser resolution. The simulated climate in CM2.5 shows marked improvement over many regions, especially the tropics, including a reduction in the double ITCZ and an improved simulation of ENSO. Regional precipitation features are much improved. The Indian monsoon and Amazonian rainfall are also substantially more realistic in CM2.5. The response of CM2.5 to a doubling of atmospheric CO2 has many features in common with CM2.1, with some notable differences. For example, rainfall changes over the Mediterranean appear to be tightly linked to topography in CM2.5, in contrast to CM2.1 where the response is more spatially homogeneous. In addition, in CM2.5 the near-surface ocean warms substantially in the high latitudes of the Southern Ocean, in contrast to simulations using CM2.1.
引用
收藏
页码:2755 / 2781
页数:27
相关论文
共 50 条
  • [1] Tropical Cyclone Simulation and Response to CO2 Doubling in the GFDL CM2.5 High-Resolution Coupled Climate Model
    Kim, Hyeong-Seog
    Vecchi, Gabriel A.
    Knutson, Thomas R.
    Anderson, Whit U.
    Delworth, Thomas L.
    Rosati, Anthony
    Zeng, Fanrong
    Zhao, Ming
    JOURNAL OF CLIMATE, 2014, 27 (21) : 8034 - 8054
  • [2] Simulated Connections between ENSO and Tropical Cyclones near Guam in a High-Resolution GFDL Coupled Climate Model: Implications for Seasonal Forecasting
    Zhang, Wei
    Vecchi, Gabriel A.
    Villarini, Gabriele
    Murakami, Hiroyuki
    Delworth, Thomas
    Jia, Liwei
    Gudgel, Richard
    Zeng, Fanrong
    JOURNAL OF CLIMATE, 2016, 29 (22) : 8231 - 8248
  • [3] Seasonal Predictability of Extratropical Storm Tracks in GFDL's High-Resolution Climate Prediction Model
    Yang, Xiaosong
    Vecchi, Gabriel A.
    Gudgel, Rich G.
    Delworth, Thomas L.
    Zhang, Shaoqing
    Rosati, Anthony
    Jia, Liwei
    Stern, William F.
    Wittenberg, Andrew T.
    Kapnick, Sarah
    Msadek, Rym
    Underwood, Seth D.
    Zeng, Fanrong
    Anderson, Whit
    Balaji, Venkatramani
    JOURNAL OF CLIMATE, 2015, 28 (09) : 3592 - 3611
  • [4] A comparison of climate change simulations produced by two GFDL coupled climate models
    Dixon, KW
    Delworth, TL
    Knutson, TR
    Spelman, MJ
    Stouffer, RJ
    GLOBAL AND PLANETARY CHANGE, 2003, 37 (1-2) : 81 - 102
  • [5] Seasonal Forecasts of Major Hurricanes and Landfalling Tropical Cyclones using a High-Resolution GFDL Coupled Climate Model
    Murakami, Hiroyuki
    Vecchi, Gabriel A.
    Villarini, Gabriele
    Delworth, Thomas L.
    Gudgel, Richard
    Underwood, Seth
    Yang, Xiaosong
    Zhang, Wei
    Lin, Shian-Jiann
    JOURNAL OF CLIMATE, 2016, 29 (22) : 7977 - 7989
  • [6] Quantifying Agulhas Leakage in a High-Resolution Climate Model
    Cheng, Yu
    Putrasahan, Dian
    Beal, Lisa
    Kirtman, Ben
    JOURNAL OF CLIMATE, 2016, 29 (19) : 6881 - 6892
  • [7] Structure and Performance of GFDL's CM4.0 Climate Model
    Held, I. M.
    Guo, H.
    Adcroft, A.
    Dunne, J. P.
    Horowitz, L. W.
    Krasting, J.
    Shevliakova, E.
    Winton, M.
    Zhao, M.
    Bushuk, M.
    Wittenberg, A. T.
    Wyman, B.
    Xiang, B.
    Zhang, R.
    Anderson, W.
    Balaji, V.
    Donner, L.
    Dunne, K.
    Durachta, J.
    Gauthier, P. P. G.
    Ginoux, P.
    Golaz, J. -C.
    Griffies, S. M.
    Hallberg, R.
    Harris, L.
    Harrison, M.
    Hurlin, W.
    John, J.
    Lin, P.
    Lin, S. -J.
    Malyshev, S.
    Menzel, R.
    Milly, P. C. D.
    Ming, Y.
    Naik, V.
    Paynter, D.
    Paulot, F.
    Rammaswamy, V.
    Reichl, B.
    Robinson, T.
    Rosati, A.
    Seman, C.
    Silvers, L. G.
    Underwood, S.
    Zadeh, N.
    JOURNAL OF ADVANCES IN MODELING EARTH SYSTEMS, 2019, 11 (11) : 3691 - 3727
  • [8] Improved Seasonal Prediction of Temperature and Precipitation over Land in a High-Resolution GFDL Climate Model
    Jia, Liwei
    Yang, Xiaosong
    Vecchi, Gabriel A.
    Gudgel, Richard G.
    Delworth, Thomas L.
    Rosati, Anthony
    Stern, William F.
    Wittenberg, Andrew T.
    Krishnamurthy, Lakshmi
    Zhang, Shaoqing
    Msadek, Rym
    Kapnick, Sarah
    Underwood, Seth
    Zeng, Fanrong
    Anderson, Whit G.
    Balaji, Venkatramani
    Dixon, Keith
    JOURNAL OF CLIMATE, 2015, 28 (05) : 2044 - 2062
  • [9] Current climate and climate change over India as simulated by the Canadian Regional Climate Model
    Alexandru, Adelina
    Sushama, Laxmi
    CLIMATE DYNAMICS, 2015, 45 (3-4) : 1059 - 1084
  • [10] Precipitation pattern of the mid-Holocene simulated by a high-resolution regional climate model
    Yu Entao
    Wang Tao
    Gao Yongqi
    Xiang Weiling
    ADVANCES IN ATMOSPHERIC SCIENCES, 2014, 31 (04) : 962 - 971