摘要
本文介绍了CAS FGOALS-f3-L参加CMIP6 DECK耦合试验数据。主要包括piControl,abrupt-4×CO2和1pctC02的试验设计,模式设置以及初步结果评估。piControl提供了561年的模拟结果,abrupt-4×CO2和1pctCO2分别提供了三组集合成员,每个成员包括160年的积分。初步评估结果表明,piControl试验中,耦合模式可以保证长期稳定积分。在气候态降水模拟上,piControl试验可以合理的再现全球海表温度和降水的基本分布型,相比上一代耦合模式,在ITCZ地区的降水有所改进。另一方面耦合模式的气候敏感度约为3.0℃,相比上一代的耦合模式更为合理。
The datasets of the Chinese Academy of Sciences(CAS)Flexible Global Ocean–Atmosphere–Land System(FGOALS-f3-L)model for the baseline experiment of the fully coupled runs in the Diagnostic,Evaluation and Characterization of Klima(DECK)common experiments of phase 6 of the Coupled Model Intercomparison Project(CMIP6)are described in this study.The CAS FGOALS-f3-L model team submitted the pi Control run with a near equilibrium ocean state for 561 model years,and 160-year integrations for three ensemble members of abrupt-4×CO2 and 1pct CO2,respectively.The ensemble members restart from the 600,650 and 700 model years in the pi Control run,respectively.The baseline performances of the model are validated in this article.The preliminary evaluation suggests that the CAS FGOALS-f3-L model can preserve the long-term stability well for a mean net radiation flux of 0.31 W m-2at the top of the atmosphere,and a limited decreasing trend of-0.03 W m-2/100 yr.The global annual mean SST is 16.45°C for the 561-year mean,with an increase of 0.03°C/100 yr.The model captures the basic spatial patterns of climate-mean SST and precipitation,but still underestimates the SST over the warm pool.The coupled model mitigates the precipitation bias in the ITCZ compared with the results from CMIP5.Moreover,the model’s climate sensitivity represented by the equilibrium climate sensitivity has been reduced from 4.5°C in CMIP5 to 3.0°C in CMIP6.All these datasets contribute to the benchmark of model behaviors for the desired continuity of CMIP.
基金
jointly funded by the National Key Research and Development Program of Chinagrant number 2017YFA0604004
the National Natural Science Foundation of China grant numbers 41530426
91737306,U1811464,91837101,41730963,and 91958201
the Strategic Priority Research Program of the Chinese Academy of Sciences grant numbers XDA19060102 and XDB40030205。