| An Evaluation of the Efiects of Cloud Parameterization in the R42L9 GCM |
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| 作者姓名： | WU Tongwen WANG Zaizhi LIU Yimin YU Rucong WU Guoxiong |
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| 作者单位： | State Key Laboratory of Numerical Modeling for Atmospherics Sciences and Geophysical Fluid Dynamics，Institute of Atmospheric Physics，Chinese Academy of Sciences，Beijing 100029 Laboratory for Climate Study，National Climate Center，Beijing 100081，State Key Laboratory of Numerical Modeling for Atmospherics Sciences and Geophysical Fluid Dynamics，Institute of Atmospheric Physics，Chinese Academy of Sciences，Beijing 100029，State Key Laboratory of Numerical Modeling for Atmospherics Sciences and Geophysical Fluid Dynamics，Institute of Atmospheric Physics，Chinese Academy of Sciences，Beijing 100029，State Key Laboratory of Numerical Modeling for Atmospherics Sciences and Geophysical Fluid Dynamics，Institute of Atmospheric Physics，Chinese Academy of Sciences，Beijing 100029，State Key Laboratory of Numerical Modeling for Atmospherics Sciences and Geophysical Fluid Dynamics，Institute of Atmospheric Physics，Chinese Academy of Sciences，Beijing 100029 |
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| 摘 要： | Cloud is one of the uncertainty factors influencing the performance of a general circulation model (GCM)．Recently，the State Key Laboratory of Atmospheric Sciences and Geophysical Fluid Dynamics，Institute of Atmospheric Physics(LASG／IAP)has developed a new version of a GCM(R42L9)．In this
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| 关 键 词： | 评价 不确定因素 循环模式 云物理 |
| 收稿时间： | 2 March 2007 |
An evaluation of the effects of cloud parameterization in the R42L9 GCM |
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| WU Tongwen,WANG Zaizhi,LIU Yimin,YU Rucong,WU Guoxiong.An Evaluation of the Efiects of Cloud Parameterization in the R42L9 GCM[J].Advances in Atmospheric Sciences,2004,21(2):153-162. |
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| Authors: | WU Tongwen WANG Zaizhi LIU Yimin YU Rucong WU Guoxiong |
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| Institution: | State Key Laboratory of Numerical Modeling for Atmospherics Sciences and Geophysical Fluid Dynamics,Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing 100029;Laboratory for Climate Study, National Climate Center, Beijing 100081,State Key Laboratory of Numerical Modeling for Atmospherics Sciences and Geophysical Fluid Dynamics,Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing 100029,State Key Laboratory of Numerical Modeling for Atmospherics Sciences and Geophysical Fluid Dynamics,Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing 100029,State Key Laboratory of Numerical Modeling for Atmospherics Sciences and Geophysical Fluid Dynamics,Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing 100029,State Key Laboratory of Numerical Modeling for Atmospherics Sciences and Geophysical Fluid Dynamics,Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing 100029 |
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| Abstract: | Cloud is one of the uncertainty factors influencing the performance of a general circulation model (GCM). Recently, the State Key Laboratory of Atmospheric Sciences and Geophysical Fluid Dynamics,Institute of Atmospheric Physics (LASG/IAP) has developed a new version of a GCM (R42L9). In this work, roles of cloud parameterization in the R42L9 are evaluated through a comparison between two 20year simulations using different cloud schemes. One scheme is that the cloud in the model is diagnosed from relative humidity and vertical velocity, and the other one is that diagnostic cloud is replaced by retrieved cloud amount from the International Satellite Cloud Climatology Project (ISCCP), combined with the amounts of high-, middle-, and low-cloud and heights of the cloud base and top from the NCEP. The boreal winter and summer seasonal means, as well as the annual mean, of the simulated top-of-atmosphere shortwave radiative flux, surface energy fluxes, and precipitation are analyzed in comparison with the observational estimates and NCEP reanalysis data. The results show that the scheme of diagnostic cloud parameterization greatly contributes to model biases of radiative budget and precipitation. When our derived cloud fractions are used to replace the diagnostic cloud amount, the top-of-atmosphere and surface radiation fields are better estimated as well as the spatial pattern of precipitation. The simulations of the regional precipitation, especially over the equatorial Indian Ocean in winter and the Asia-western Pacific region in summer, are obviously improved. |
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| Keywords: | cloud parameterization effect of cloud on model performance R42L9 model climatological cloud scheme diagnostic cloud scheme |
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