ZHANG Jie, Laurent LI, ZHOU Tianjun, and XIN Xiaoge. 2013: Variation of Surface Temperature during the Last Millennium in aSimulation with the FGOALS-gl Climate System Model. Adv. Atmos. Sci, 30(3): 699-712., https://doi.org/10.1007/s00376-013-2178-0
Citation: ZHANG Jie, Laurent LI, ZHOU Tianjun, and XIN Xiaoge. 2013: Variation of Surface Temperature during the Last Millennium in aSimulation with the FGOALS-gl Climate System Model. Adv. Atmos. Sci, 30(3): 699-712., https://doi.org/10.1007/s00376-013-2178-0

Variation of Surface Temperature during the Last Millennium in a Simulation with the FGOALS-gl Climate System Model

  • A reasonable past millennial climate simulation relies heavily on the specified external forcings, including both natural and anthropogenic forcing agents. In this paper, we examine the surface temperature responses to specified external forcing agents in a millennium-scale transient climate simulation with the fast version of LASG IAP Flexible Global Ocean-Atmosphere-Land System model (FGOALS-gl) developed in the State Key Laboratory of Numerical Modeling for Atmospheric Sciences and Geophysical Fluid Dynamics, Institute of Atmospheric Physics (LASG/IAP). The model presents a reasonable performance in comparison with reconstructions of surface temperature. Differentiated from significant changes in the 20th century at the global scale, changes during the natural-forcing-dominant period are mainly manifested in the Northern Hemisphere. Seasonally, modeled significant changes are more pronounced during the wintertime at higher latitudes. This may be a manifestation of polar amplification associated with sea-ice--temperature positive feedback. The climate responses to total external forcings can explain about half of the climate variance during the whole millennium period, especially at decadal timescales. Surface temperature in the Antarctic shows heterogeneous and insignificant changes during the preindustrial period and the climate response to external forcings is undetectable due to the strong internal variability. The model response to specified external forcings is modulated by cloud radiative forcing (CRF). The CRF acts against the fluctuations of external forcings. Effects of clouds are manifested in shortwave radiation by changes in cloud water during the natural-forcing-dominant period, but mainly in longwave radiation by a decrease in cloud amount in the anthropogenic-forcing-dominant period.
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