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Long-term Stability and Oceanic Mean State Simulated by the Coupled Model FGOALS-s2 被引量:4

Long-term Stability and Oceanic Mean State Simulated by the Coupled Model FGOALS-s2
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摘要 We describe the long-term stability and mean climatology of oceanic circulations simulated by version 2 of the Flexible Global Ocean-Atmosphere-Land System model (FGOALS-s2). Driven by pre-industrial forcing, the integration of FGOALS-s2 was found to have remained stable, with no obvious climate drift over 600 model years. The linear trends of sea SST and sea surface salinity (SSS) were -0.04℃ (100 yr)-1 and 0.01 psu (100 yr)-1, respectively. The simulations of oceanic temperatures, wind-driven circulation and thermohaline circulation in FGOALS-s2 were found to be comparable with observations, and have been substantially improved over previous FGOALS-s versions (1.0 and 1.1). However, significant SST biases (exceeding 3℃) were found around strong western boundary currents, in the East China Sea, the Sea of Japan and the Barents Sea. Along the eastern coasts in the Pacific and Atlantic Ocean, a warm bias (〉3℃) was mainly due to overestimation of net surface shortwave radiation and weak oceanic upwelling. The difference of SST biases in the North Atlantic and Pacific was partly due to the errors of meridional heat transport. For SSS, biases exceeding 1.5 psu were located in the Arctic Ocean and around the Gulf Stream. In the tropics, freshwater biases dominated and were mainly caused by the excess of precipitation. Regarding the vertical dimension, the maximal biases of temperature and salinity were located north of 65°N at depths of greater than 600 m, and their values exceeded 4℃ and 2 psu, respectively. We describe the long-term stability and mean climatology of oceanic circulations simulated by version 2 of the Flexible Global Ocean-Atmosphere-Land System model (FGOALS-s2). Driven by pre-industrial forcing, the integration of FGOALS-s2 was found to have remained stable, with no obvious climate drift over 600 model years. The linear trends of sea SST and sea surface salinity (SSS) were -0.04℃ (100 yr)-1 and 0.01 psu (100 yr)-1, respectively. The simulations of oceanic temperatures, wind-driven circulation and thermohaline circulation in FGOALS-s2 were found to be comparable with observations, and have been substantially improved over previous FGOALS-s versions (1.0 and 1.1). However, significant SST biases (exceeding 3℃) were found around strong western boundary currents, in the East China Sea, the Sea of Japan and the Barents Sea. Along the eastern coasts in the Pacific and Atlantic Ocean, a warm bias (〉3℃) was mainly due to overestimation of net surface shortwave radiation and weak oceanic upwelling. The difference of SST biases in the North Atlantic and Pacific was partly due to the errors of meridional heat transport. For SSS, biases exceeding 1.5 psu were located in the Arctic Ocean and around the Gulf Stream. In the tropics, freshwater biases dominated and were mainly caused by the excess of precipitation. Regarding the vertical dimension, the maximal biases of temperature and salinity were located north of 65°N at depths of greater than 600 m, and their values exceeded 4℃ and 2 psu, respectively.
出处 《Advances in Atmospheric Sciences》 SCIE CAS CSCD 2013年第1期175-192,共18页 大气科学进展(英文版)
基金 supported by the National Key Program for Developing Basic Sciences(GrantNos. 2010CB950502) the "Strategic Priority Research Program-Climate Change:Carbon Budget and Related Issues" of the Chinese Academy of Sciences (Grant No.XDA05110302) the National Natural Science Foundation of China(Grant Nos. 40906012 and 41023002) National High Technology Research and Development Program of China(Grant No. 2010AA012303)
关键词 FGOALS stability mean state biases FGOALS, stability, mean state, biases
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