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Historical Evolution of Global and Regional Surface Air Temperature Simulated by FGOALS-s2 and FGOALS-g2: How Reliable Are the Model Results?


doi: 10.1007/s00376-013-2205-1

  • In order to assess the performance of two versions of the IAP/LASG Flexible Global Ocean-Atmosphere-Land System (FGOALS) model, simulated changes in surface air temperature (SAT), from natural and anthropogenic forcings, were compared to observations for the period 18502005 at global, hemispheric, continental and regional scales. The global and hemispheric averages of SAT and their land and ocean components during 18502005 were well reproduced by FGOALS-g2, as evidenced by significant correlation coefficients and small RMSEs. The significant positive correlations were firstly determined by the warming trends, and secondly by interdecadal fluctuations. The abilities of the models to reproduce interdecadal SAT variations were demonstrated by both wavelet analysis and significant positive correlations for detrended data. The observed land--sea thermal contrast change was poorly simulated. The major weakness of FGOALS-s2 was an exaggerated warming response to anthropogenic forcing, with the simulation showing results that were far removed from observations prior to the 1950s. The observations featured warming trends (19062005) of 0.71, 0.68 and 0.79 (100 yr)-1 for global, Northern and Southern Hemispheric averages, which were overestimated by FGOALS-s2 [1.42, 1.52 and 1.13oC (100 yr)-1] but underestimated by FGOALS-g2 [0.69, 0.68 and 0.73oC (100 yr)-1]. The polar amplification of the warming trend was exaggerated in FGOALS-s2 but weakly reproduced in FGOALS-g2. The stronger response of FGOALS-s2 to anthropogenic forcing was caused by strong sea-ice albedo feedback and water vapor feedback. Examination of model results in 15 selected subcontinental-scale regions showed reasonable performance for FGOALS-g2 over most regions. However, the observed warming trends were overestimated by FGOALS-s2 in most regions. Over East Asia, the meridional gradient of the warming trend simulated by FGOALS-s2 (FGOALS-g2) was stronger (weaker) than observed.
  • [1] XU Shiming, SONG Mirong, LIU Jiping, WANG Bin, LI Lijuan, HUANG Wenyu, LIU Li, XIA Kun, XUE Wei, PU Ye, DONG Li, SHEN Si, HU Ning, LIU Mimi, and SUN Wenqi, 2013: Simulation of Sea Ice in FGOALS-g2: Climatology and Late 20th Century Changes, ADVANCES IN ATMOSPHERIC SCIENCES, 30, 658-673.  doi: 10.1007/s00376-013-2158-4
    [2] MA Xiaoyan, GUO Yufu, SHI Guangyu, YU Yongqiang, 2004: Numerical Simulation of Global Temperature Change during the 20th Century with the IAP/LASG GOALS Model, ADVANCES IN ATMOSPHERIC SCIENCES, 21, 227-235.  doi: 10.1007/BF02915709
    [3] GUO Zhun, ZHOU Tianjun, 2013: Why Does FGOALS-gl Reproduce a Weak Medieval Warm Period But a Reasonable Little Ice Age and 20th Century Warming?, ADVANCES IN ATMOSPHERIC SCIENCES, 30, 1758-1770.  doi: 10.1007/s00376-013-2227-8
    [4] MA Shuangmei, ZHOU Tianjun, 2015: Precipitation Changes in Wet and Dry Seasons over the 20th Century Simulated by Two Versions of the FGOALS Model, ADVANCES IN ATMOSPHERIC SCIENCES, 32, 839-854.  doi: 10.1007/s00376-014-4136-x
    [5] LIN Pengfei, LIU Hailong, YU Yongqiang, and ZHOU Tianjun, 2013: Long-term Behaviors of Two Versions of FGOALS2 in Preindustrial Control Simulations with Implications for 20th Century Simulations, ADVANCES IN ATMOSPHERIC SCIENCES, 30, 577-592.  doi: 10.1007/s00376-013-2186-0
    [6] YU Yongqiang, ZHI Hai, WANG Bin, WAN Hui, LI Chao, LIU Hailong, LI Wei, ZHENG Weipeng, ZHOU Tianjun, 2008: Coupled Model Simulations of Climate Changes in the 20th Century and Beyond, ADVANCES IN ATMOSPHERIC SCIENCES, 25, 641-654.  doi: 10.1007/s00376-008-0641-0
    [7] Xiao DONG, Feng XUE, 2016: Phase Transition of the Pacific Decadal Oscillation and Decadal Variation of the East Asian Summer Monsoon in the 20th Century, ADVANCES IN ATMOSPHERIC SCIENCES, 33, 330-338.  doi: 10.1007/s00376-015-5130-7
    [8] YANG Yun, WU Lixin, 2015: Changes of Air-sea Coupling in the North Atlantic over the 20th Century, ADVANCES IN ATMOSPHERIC SCIENCES, 32, 445-456.  doi: 10.1007/s00376-014-4090-7
    [9] HAN Bo, ZHAO Cailing, LÜ Shihua, WANG Xin, 2015: A Diagnostic Analysis on the Effect of the Residual Layer in Convective Boundary Layer Development near Mongolia Using 20th Century Reanalysis Data, ADVANCES IN ATMOSPHERIC SCIENCES, 32, 807-820.  doi: 10.1007/s00376-014-4164-6
    [10] ZENG Xinmin, LIU Jinbo, MA Zhuguo, SONG Shuai, XI Chaoli, WANG Hanjie, 2010: Study on the Effects of Land Surface Heterogeneitiesin Temperature and Moisture on Annual Scale Regional Climate Simulation, ADVANCES IN ATMOSPHERIC SCIENCES, 27, 154-163.  doi: 10.1007/s00376-009-8117-4
    [11] DONG Lu, and ZHOU Tianjun, 2013: Steric Sea Level Change in Twentieth Century Historical Climate Simulation and IPCC-RCP8.5 Scenario Projection: A Comparison of Two Versions of FGOALS Model, ADVANCES IN ATMOSPHERIC SCIENCES, 30, 841-854.  doi: 10.1007/s00376-012-2224-3
    [12] Guanshun ZHANG, Jiangyu MAO, Wei HUA, Xiaofei WU, Ruizao SUN, Ziyu YAN, Yimin LIU, Guoxiong WU, 2023: Synergistic Effect of the Planetary-scale Disturbance, Typhoon and Meso-β-scale Convective Vortex on the Extremely Intense Rainstorm on 20 July 2021 in Zhengzhou, ADVANCES IN ATMOSPHERIC SCIENCES, 40, 428-446.  doi: 10.1007/s00376-022-2189-9
    [13] Yating ZHAO, Ming XUE, Jing JIANG, Xiao-Ming HU, Anning HUANG, 2024: Assessment of Wet Season Precipitation in the Central United States by the Regional Climate Simulation of the WRFG Member in NARCCAP and Its Relationship with Large-Scale Circulation Biases, ADVANCES IN ATMOSPHERIC SCIENCES, 41, 619-638.  doi: 10.1007/s00376-023-2353-x
    [14] MAN Wenmin, and ZHOU Tianjun, 2014: Regional-scale Surface Air Temperature and East Asian Summer Monsoon Changes during the Last Millennium Simulated by the FGOALS-gl Climate System Model, ADVANCES IN ATMOSPHERIC SCIENCES, 31, 765-778.  doi: 10.1007/s00376-013-3123-y
    [15] SONG Fengfei, and ZHOU Tianjun, 2013: FGOALS-s2 Simulation of Upper-level Jet Streams over East Asia: Mean State Bias and Synoptic-scale Transient Eddy Activity, ADVANCES IN ATMOSPHERIC SCIENCES, 30, 739-753.  doi: 10.1007/s00376-012-2212-7
    [16] Xia Daqing, Zheng Liangjie, 1986: NUMERICAL SIMULATION OF THE GENERATION OF MESOSCALE CONVECTTVE SYSTEMS IN LARGE-SCALE ENVIRONMENT, ADVANCES IN ATMOSPHERIC SCIENCES, 3, 360-370.  doi: 10.1007/BF02678656
    [17] ZHANG Hanbin, CHEN Jing, ZHI Xiefei, WANG Yi, WANG Yanan, 2015: Study on Multi-Scale Blending Initial Condition Perturbations for a Regional Ensemble Prediction System, ADVANCES IN ATMOSPHERIC SCIENCES, 32, 1143-1155.  doi: 10.1007/s00376-015-4232-6
    [18] Mei ZHAO, Andrew J. PITMAN, 2005: The Relative Impact of Regional Scale Land Cover Change and Increasing CO2 over China, ADVANCES IN ATMOSPHERIC SCIENCES, 22, 58-68.  doi: 10.1007/BF02930870
    [19] C. H. So, Johnny C. L. Chan, 1997: Regional and Synoptic-scale Features Associated with Inactive Periods of the Summer Monsoon over South China, ADVANCES IN ATMOSPHERIC SCIENCES, 14, 223-230.  doi: 10.1007/s00376-997-0021-1
    [20] Peng LIU, Chung-Hsiung SUI, 2014: An Observational Analysis of the Oceanic and Atmospheric Structure of Global-Scale Multi-decadal Variability, ADVANCES IN ATMOSPHERIC SCIENCES, 31, 316-330.  doi: 10.1007/s00376-013-2305-y

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Manuscript History

Manuscript received: 21 July 2012
Manuscript revised: 03 February 2013
通讯作者: 陈斌, bchen63@163.com
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    沈阳化工大学材料科学与工程学院 沈阳 110142

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Historical Evolution of Global and Regional Surface Air Temperature Simulated by FGOALS-s2 and FGOALS-g2: How Reliable Are the Model Results?

    Corresponding author: ZHOU Tianjun; 
  • 1. State Key Laboratory of Numerical Modeling for Atmospheric Sciences and Geophysical Fluid Dynamics, Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing 100029
  • 2. Climate Change Research Center, Chinese Academy of Sciences, Beijing 100029
  • 3. Graduate University of Chinese Academy of Sciences, Beijing 100049

Abstract: In order to assess the performance of two versions of the IAP/LASG Flexible Global Ocean-Atmosphere-Land System (FGOALS) model, simulated changes in surface air temperature (SAT), from natural and anthropogenic forcings, were compared to observations for the period 18502005 at global, hemispheric, continental and regional scales. The global and hemispheric averages of SAT and their land and ocean components during 18502005 were well reproduced by FGOALS-g2, as evidenced by significant correlation coefficients and small RMSEs. The significant positive correlations were firstly determined by the warming trends, and secondly by interdecadal fluctuations. The abilities of the models to reproduce interdecadal SAT variations were demonstrated by both wavelet analysis and significant positive correlations for detrended data. The observed land--sea thermal contrast change was poorly simulated. The major weakness of FGOALS-s2 was an exaggerated warming response to anthropogenic forcing, with the simulation showing results that were far removed from observations prior to the 1950s. The observations featured warming trends (19062005) of 0.71, 0.68 and 0.79 (100 yr)-1 for global, Northern and Southern Hemispheric averages, which were overestimated by FGOALS-s2 [1.42, 1.52 and 1.13oC (100 yr)-1] but underestimated by FGOALS-g2 [0.69, 0.68 and 0.73oC (100 yr)-1]. The polar amplification of the warming trend was exaggerated in FGOALS-s2 but weakly reproduced in FGOALS-g2. The stronger response of FGOALS-s2 to anthropogenic forcing was caused by strong sea-ice albedo feedback and water vapor feedback. Examination of model results in 15 selected subcontinental-scale regions showed reasonable performance for FGOALS-g2 over most regions. However, the observed warming trends were overestimated by FGOALS-s2 in most regions. Over East Asia, the meridional gradient of the warming trend simulated by FGOALS-s2 (FGOALS-g2) was stronger (weaker) than observed.

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