Climate Sensitivity and Feedbacks of a New Coupled Model CAMS-CSM to Idealized CO2 Forcing: A Comparison with CMIP5 Models

被引:8
|
作者
Xiaolong CHEN [1 ]
Zhun GUO [2 ,1 ]
Tianjun ZHOU [1 ,3 ]
Jian LI [4 ]
Xinyao RONG [4 ]
Yufei XIN [4 ]
Haoming CHEN [4 ]
Jingzhi SU [4 ]
机构
[1] State Key Laboratory of Numerical Modeling for Atmospheric Sciences and Geophysical Fluid Dynamics,Institute of Atmospheric Physics, Chinese Academy of Sciences
[2] Climate Change Research Center, Institute of Atmospheric Physics, Chinese Academy of Sciences
[3] University of the Chinese Academy of Sciences
[4] State Key Laboratory of Severe Weather, Chinese Academy of Meteorological Sciences,China Meteorological Administration
基金
中国国家自然科学基金;
关键词
climate sensitivity; climate feedback; cloud shortwave feedback; the Chinese Academy of Meteorological Sciences climate system model(CAMS-CSM); Coupled Model Comparison Project phase 5(CMIP5);
D O I
暂无
中图分类号
P46 [气候学]; X16 [环境气象学];
学科分类号
0706 ; 070602 ;
摘要
Climate sensitivity and feedbacks are basic and important metrics to a climate system. They determine how large surface air temperature will increase under CO2forcing ultimately, which is essential for carbon reduction policies to achieve a specific warming target. In this study, these metrics are analyzed in a climate system model newly developed by the Chinese Academy of Meteorological Sciences(CAMS-CSM) and compared with multi-model results from the Coupled Model Comparison Project phase 5(CMIP5). Based on two idealized CO2forcing scenarios, i.e.,abruptly quadrupled CO2and CO2increasing 1% per year, the equilibrium climate sensitivity(ECS) and transient climate response(TCR) in CAMS-CSM are estimated to be about 2.27 and 1.88 K, respectively. The ECS is near the lower bound of CMIP5 models whereas the TCR is closer to the multi-model ensemble mean(MME) of CMIP5 due to compensation of a relatively low ocean heat uptake(OHU) efficiency. The low ECS is caused by an unusually negative climate feedback in CAMS-CSM, which is attributed to cloud shortwave feedback(λSWCL) over the tropical Indo-Pacific Ocean.The CMIP5 ensemble shows that more negative λSWCL is related to larger increase in low-level(925–700 hPa)cloud over the tropical Indo-Pacific under warming, which can explain about 90% of λSWCL in CAMS-CSM. Static stability of planetary boundary layer in the pre-industrial simulation is a critical factor controlling the low-cloud response and λSWCL across the CMIP5 models and CAMS-CSM. Evidently, weak stability in CAMS-CSM favors lowcloud formation under warming due to increased low-level convergence and relative humidity, with the help of enhanced evaporation from the warming tropical Pacific. Consequently, cloud liquid water increases, amplifying cloud albedo, and eventually contributing to the unusually negative λSWCL and low ECS in CAMS-CSM. Moreover, the OHU may influence climate feedbacks and then the ECS by modulating regional sea surface temperature responses.
引用
收藏
页码:31 / 45
页数:15
相关论文
共 48 条
  • [41] Can CMIP5 Earth System Models Reproduce the Interannual Variability of Air-Sea CO2 Fluxes over the Tropical Pacific Ocean?
    Jin, Chenxi
    Zhou, Tianjun
    Chen, Xiaolong
    JOURNAL OF CLIMATE, 2019, 32 (08) : 2261 - 2275
  • [42] Twenty-First-Century Compatible CO2 Emissions and Airborne Fraction Simulated by CMIP5 Earth System Models under Four Representative Concentration Pathways
    Jones, Chris
    Robertson, Eddy
    Arora, Vivek
    Friedlingstein, Pierre
    Shevliakova, Elena
    Bopp, Laurent
    Brovkin, Victor
    Hajima, Tomohiro
    Kato, Etsushi
    Kawamiya, Michio
    Liddicoat, Spencer
    Lindsay, Keith
    Reick, Christian H.
    Roelandt, Caroline
    Segschneider, Joachim
    Tjiputra, Jerry
    JOURNAL OF CLIMATE, 2013, 26 (13) : 4398 - 4413
  • [43] Sensitivity of burned area in Europe to climate change, atmospheric CO2 levels, and demography: A comparison of two fire-vegetation models
    Wu, Minchao
    Knorr, Wolfgang
    Thonicke, Kirsten
    Schurgers, Guy
    Camia, Andrea
    Arneth, Almut
    JOURNAL OF GEOPHYSICAL RESEARCH-BIOGEOSCIENCES, 2015, 120 (11) : 2256 - 2272
  • [44] Evaluating and understanding top of the atmosphere cloud radiative effects in Intergovernmental Panel on Climate Change (IPCC) Fifth Assessment Report (AR5) Coupled Model Intercomparison Project Phase 5 (CMIP5) models using satellite observations
    Wang, Hailan
    Su, Wenying
    JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES, 2013, 118 (02) : 683 - 699
  • [45] The Flux-Anomaly-Forced Model Intercomparison Project (FAFMIP) contribution to CMIP6: investigation of sea-level and ocean climate change in response to CO2 forcing
    Gregory, Jonathan M.
    Bouttes, Nathaelle
    Griffies, Stephen M.
    Haak, Helmuth
    Hurlin, William J.
    Jungclaus, Johann
    Kelley, Maxwell
    Lee, Warren G.
    Marshall, John
    Romanou, Anastasia
    Saenko, Oleg A.
    Stammer, Detlef
    Winton, Michael
    GEOSCIENTIFIC MODEL DEVELOPMENT, 2016, 9 (11) : 3993 - 4017
  • [46] CO2 CLIMATE SENSITIVITY AND SNOW-SEA-ICE ALBEDO PARAMETERIZATION IN AN ATMOSPHERIC GCM COUPLED TO A MIXED-LAYER OCEAN MODEL
    MEEHL, GA
    WASHINGTON, WM
    CLIMATIC CHANGE, 1990, 16 (03) : 283 - 306
  • [47] Improving the representation of anthropogenic CO2 emissions in climate models: impact of a new parameterization for the Community Earth System Model (CESM)
    Navarro, Andres
    Moreno, Raul
    Tapiador, Francisco J.
    EARTH SYSTEM DYNAMICS, 2018, 9 (03) : 1045 - 1062