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Preliminary Results from Numerical Experiments of a Heavy Rain Process with PENN STATE / NCAR MM5
作者姓名:Xiao Qingnong  Guo Weidong  Zhou Xiaoping
作者单位:LASG,Institute of Atmospheric Physics,Chinese Academy of Sciences,Beijing 100080,China,LASG,Institute of Atmospheric Physics,Chinese Academy of Sciences,Beijing 100080,China,LASG,Institute of Atmospheric Physics,Chinese Academy of Sciences,Beijing 100080,China
基金项目:This work was supported by LASG,the National Natural Science Foundation of China
摘    要:PENN STATE/NCAR MM5 is used to simulate precipitation of the heavy rain process during 12-13 July 1994.The effects of different PBL parameterizations,resolvable scale moisture schemes and cumulus parameterization on the process rainfall simulation are investigated.By comparing the results of hydrostatic and nor.hydrostatic experiments,the nonhydrostatic impact upon precipitation is also examined.It is found in this study thai PENN STATE/NCAR MM5 has advantage not only in theory but also in simulating results with real data.In MM5.however,the selection of physical processes,especially water-cycle process,is very important and crucial to precipitation forecast of the case.It is concluded that the model with Grell (1993) scheme for convection and condensation method for resolvable scale precipitation captured the rainstorm during 12-13 July 1994 in Beijing area more successfully


Preliminary Results from Numerical Experiments of a Heavy Rain Process with PENN STATE / NCAR MM5
Xiao Qingnong,Guo Weidong,Zhou Xiaoping.Preliminary Results from Numerical Experiments of a Heavy Rain Process with PENN STATE / NCAR MM5[J].Advances in Atmospheric Sciences,1996,13(4):539-547.
Authors:Xiao Qingnong  Guo Weidong  Zhou Xiaoping
Institution:LASG, Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing 100080, China,LASG, Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing 100080, China,LASG, Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing 100080, China
Abstract:PENN STATE/NCAR MMS is used to simulate precipitation of the heavy rain process during 12–13 July 1994. The effects of different PBL parameterizations, resolvable scale mouture schemes and cumulus parameterization on the process rainfall simulation are investigated. By comparing the results of hydrostatic and nonhydrostatic experiments, the nonhydrostatic impact upon precipitation is also examined. It is found in this study that PENN STATE/NCAR MM5 has advantage not only in theory but also in simulating results with real data. In MM5, however, the selection of physical processes, especially water-cycle process, is very important and crucial to precipitation forecast of the case. It is concluded that the model with Grell (1993) scheme for convection and condensation method for resolvable scale precipitation captured the rainstorm during 12–13 Jury 1994 in Beijing area more successfully.
Keywords:PENN STATE / NCAR MM5  Precipitation  Numerical Experiments
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