The Flexible Global Ocean-Atmosphere-Land System Model, Grid-point Version 2:FGOALS-g2
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 fif...
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          | Published in | Advances in atmospheric sciences Vol. 30; no. 3; pp. 543 - 560 | 
|---|---|
| Main Author | |
| Format | Journal Article | 
| Language | English | 
| Published | 
        Heidelberg
          SP Science Press
    
        01.05.2013
     Springer Nature B.V Ministry of Education Key Laboratory for Earth System Modeling, Center of Earth System Science,Tsinghua University, Beijing 100084%Ministry of Education Key Laboratory for Earth System Modeling, Center of Earth System Science,Tsinghua University, Beijing 100084 State Key Laboratory of Numerical Modeling for Atmospheric Sciences and Geophysical Fluid Dynamics,Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing 100029%State Key Laboratory of Numerical Modeling for Atmospheric Sciences and Geophysical Fluid Dynamics,Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing 100029  | 
| Subjects | |
| Online Access | Get full text | 
| ISSN | 0256-1530 1861-9533  | 
| DOI | 10.1007/s00376-012-2140-6 | 
Cover
| Abstract | 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. | 
    
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| AbstractList | 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 results 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 obvious improvements have been achieved by the FGOALS-g2 compared with the previous version,FGOALS-g1, 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.[PUBLICATION ABSTRACT] 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. 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 results 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 obvious improvements have been achieved by the FGOALS-g2 compared with the previous version,FGOALS-g1, 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.  | 
    
| Author | 李立娟 林鹏飞 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 | 
    
| AuthorAffiliation | State Key Laboratory of Numerical Modeling for Atmospheric Sciences and Geophysical Fluid Dynamics, Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing 100029 Ministry of Education Key Laboratory for Earth System Modeling, Center of Earth System Science, Tsinghua University, Beijing 100084 First Institute of Oceanography, State Oceanic Administration, Qingdao 266061 Climate Center, Hebei Meteorological Administration, Shijiazhuang 050021 | 
    
| AuthorAffiliation_xml | – name: State Key Laboratory of Numerical Modeling for Atmospheric Sciences and Geophysical Fluid Dynamics,Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing 100029%State Key Laboratory of Numerical Modeling for Atmospheric Sciences and Geophysical Fluid Dynamics,Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing 100029 ;Ministry of Education Key Laboratory for Earth System Modeling, Center of Earth System Science,Tsinghua University, Beijing 100084%Ministry of Education Key Laboratory for Earth System Modeling, Center of Earth System Science,Tsinghua University, Beijing 100084 | 
    
| Author_xml | – sequence: 1 fullname: 李立娟 林鹏飞 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  | 
    
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| ContentType | Journal Article | 
    
| Copyright | Chinese National Committee for International Association of Meteorology and Atmospheric Sciences, Institute of Atmospheric Physics, Science Press and Springer-Verlag Berlin Heidelberg 2013 Copyright © Wanfang Data Co. Ltd. All Rights Reserved.  | 
    
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| DOI | 10.1007/s00376-012-2140-6 | 
    
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| Discipline | Meteorology & Climatology | 
    
| DocumentTitleAlternate | The Flexible Global Ocean-Atmosphere-Land System Model, Grid-point Version 2:FGOALS-g2 | 
    
| EISSN | 1861-9533 | 
    
| EndPage | 560 | 
    
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| Issue | 3 | 
    
| Keywords | FGOALS-g2 climate variability monsoon climatological mean state 20th century climate  | 
    
| Language | English | 
    
| License | http://www.springer.com/tdm | 
    
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| Notes | LI Lijuan, LIN Pengfei, YU Yongqiang, WANG Bin, ZHOU Tianjun, LIU Li, LIU Jiping, BAO Qing, XU Shiming, HUANG Wenyu, XIA Kun, PU Ye, DONG LiI , SHENSi, LIU Yimin, HU Ning, LIU Mimi, SUN Wenqi, SHI Xiangjun, ZHENG Weipeng , WU Bo, SONG Mirong, LIU Hailong, ZHANG Xuehong, WU Guoxiong, XUE Wei, HUANG Xiaomeng, YANG Guangwen, SONG Zhenya, and QIAO Fangli 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. FGOALS-g2, climatological mean state, climate variability, 20th century climate, monsoon 11-1925/O4 SourceType-Scholarly Journals-1 ObjectType-Feature-1 content type line 14 ObjectType-Article-1 ObjectType-Feature-2 content type line 23  | 
    
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| PublicationDate | 2013-05-01 | 
    
| PublicationDateYYYYMMDD | 2013-05-01 | 
    
| PublicationDate_xml | – month: 05 year: 2013 text: 2013-05-01 day: 01  | 
    
| PublicationDecade | 2010 | 
    
| PublicationPlace | Heidelberg | 
    
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| PublicationTitle | Advances in atmospheric sciences | 
    
| PublicationTitleAbbrev | Adv. Atmos. Sci | 
    
| PublicationTitleAlternate | Advances in Atmospheric Sciences | 
    
| PublicationTitle_FL | Advances in Atmospheric Sciences | 
    
| PublicationYear | 2013 | 
    
| Publisher | SP Science Press Springer Nature B.V Ministry of Education Key Laboratory for Earth System Modeling, Center of Earth System Science,Tsinghua University, Beijing 100084%Ministry of Education Key Laboratory for Earth System Modeling, Center of Earth System Science,Tsinghua University, Beijing 100084 State Key Laboratory of Numerical Modeling for Atmospheric Sciences and Geophysical Fluid Dynamics,Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing 100029%State Key Laboratory of Numerical Modeling for Atmospheric Sciences and Geophysical Fluid Dynamics,Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing 100029  | 
    
| Publisher_xml | – name: SP Science Press – name: Springer Nature B.V – name: State Key Laboratory of Numerical Modeling for Atmospheric Sciences and Geophysical Fluid Dynamics,Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing 100029%State Key Laboratory of Numerical Modeling for Atmospheric Sciences and Geophysical Fluid Dynamics,Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing 100029 – name: Ministry of Education Key Laboratory for Earth System Modeling, Center of Earth System Science,Tsinghua University, Beijing 100084%Ministry of Education Key Laboratory for Earth System Modeling, Center of Earth System Science,Tsinghua University, Beijing 100084  | 
    
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| SubjectTerms | Antarctica Atmosphere Atmospheric models Atmospheric Sciences Atmospherics Boundary layers Climate change Climate variability Clouds Computer simulation Earth and Environmental Science Earth Sciences El Nino Geophysics/Geodesy Marine Meteorology Monsoons Parametrization Precipitation Sea ice Sea surface temperature Surface temperature Temperature 全球海洋 参数化方案 土地系统 大气模型 季风降水 微物理过程 控制运行 网格点  | 
    
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| Title | The Flexible Global Ocean-Atmosphere-Land System Model, Grid-point Version 2:FGOALS-g2 | 
    
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