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The Flexible Global Ocean-Atmosphere-Land System Model, Grid-point Version 2: FGOALS-g2 被引量:40
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作者 李立娟 林鹏飞 +27 位作者 俞永强 王斌 周天军 刘利 刘骥平 包庆 徐世明 黄文誉 夏坤 普业 董理 申思 刘屹岷 胡宁 刘咪咪 孙文奇 史湘军 郑伟鹏 吴波 宋米荣 刘海龙 张学洪 吴国雄 薛巍 黄小猛 杨广文 宋振亚 乔方利 《Advances in Atmospheric Sciences》 SCIE CAS CSCD 2013年第3期543-560,共18页
This study mainly introduces the development of the Flexible Global Ocean-Atmosphere-Land System Model: Grid-point Version 2 (FGOALS-g2) and the preliminary evaluations of its performances based on re- sults from t... This study mainly introduces the development of the Flexible Global Ocean-Atmosphere-Land System Model: Grid-point Version 2 (FGOALS-g2) and the preliminary evaluations of its performances based on re- sults from the pre-industrial control run and four members of historical runs according to the fifth phase of the Coupled Model Intercomparison Project (CMIP5) experiment design. The results suggest that many obvi- ous improvements have been achieved by the FGOALS-g2 compared with the previous version, FGOALS-gl, including its climatological mean states, climate variability, and 20th century surface temperature evolution. For example, FGOALS-g2 better simulates the frequency of tropical land precipitation, East Asian Monsoon precipitation and its seasonal cycle, MJO and ENSO, which are closely related to the updated cumulus parameterization scheme, as well as the alleviation of uncertainties in some key parameters in shallow and deep convection schemes, cloud fraction, cloud macro/microphysical processes and the boundary layer scheme in its atmospheric model. The annual cycle of sea surface temperature along the equator in the Pacific is significantly improved in the new version. The sea ice salinity simulation is one of the unique characteristics of FGOALS-g2, although it is somehow inconsistent with empirical observations in the Antarctic. 展开更多
关键词 FGOALS-g2 climatological mean state climate variability 20th century climate MONSOON
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An Introduction to the Coupled Model FGOALS1.1-s and Its Performance in East Asia 被引量:13
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作者 包庆 吴国雄 +3 位作者 刘屹岷 杨静 王在志 周天军 《Advances in Atmospheric Sciences》 SCIE CAS CSCD 2010年第5期1131-1142,共12页
The spectral version 1.1 of the Flexible Global Ocean–atmosphere–land System (FGOALS1.1-s) model was developed in the State Key Laboratory of Numerical Modeling for Atmospheric Sciences and Geophys- ical Fluid Dyn... The spectral version 1.1 of the Flexible Global Ocean–atmosphere–land System (FGOALS1.1-s) model was developed in the State Key Laboratory of Numerical Modeling for Atmospheric Sciences and Geophys- ical Fluid Dynamics at the Institute of Atmospheric Physics (LASG/IAP). This paper reports the major modifications to the physical parameterization package in its atmospheric component, including the radiation scheme, convection scheme, and cloud scheme. Furthermore, the simulation of the East Asian Summer Monsoon (EASM) by FGOALS1.1-s is examined, both in terms of climatological mean state and interannual variability. The results indicate that FGOALS1.1-s exhibits significant improvements in the simulation of the balance of energy at the top of the atmosphere: the net radiative energy flux at the top was 0.003 W m-2 in the 40 years fully coupled integration. The distribution of simulated sea surface temperature was also quite reasonable, without obvious climate drift. FGOALS1.1-s is also capable of capturing the major features of the climatological mean state of the EASM: major rainfall maximum centers, the annual cycle of precipitation, and the lower-level monsoon circulation flow were highly consistent with observations in the EASM region. Regarding interannual variability, simulation of the EASM leading patterns and their relationship with sea surface temperature was examined. The results show that FGOALS1.1-s can reproduce the first leading pattern of the EASM and its close relationship with the decaying phase of the ENSO. However, the model lacked the ability to capture either the second major mode of the EASM or its relationship with the developing phase of the ENSO. 展开更多
关键词 East Asian Summer Monsoon ocean–atmosphere–land model climatological mean state in-terannual variability ENSO
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