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- W2378716533 abstract "A series of numerical prediction tests are carried out with the regional GRAPES mesoscale model in southern China.Three-dimensional data assimilation,which incorporated rawinsonde data,conventional surface observation,AWS data and remote-sensing data of 13 radars,is used to improve the first guess field of T213 global model output.Two severe convective precipitation processes are analyzed in this paper to validate the GRAPES model system.A cold front,which attacked the southern China in the second 10-day of June,and the typhoon Fung Wong ,which made a landfall in Fujian on 29 July 2008,are analyzed to show the model performance.The structure of the mesoscale system is analyzed to learn the mechanism of heavy rainfall and the development of convection as well as the instability.Predicted precipitation and diagnosed radar reflection are found in accordance with the satellite image and radar observation very well.The cold front is shown and developed in a baroclinic environment.It is of severe convectively instable in the frontal zone and shows an eastward vertical slantwise structure with height.The horizontal circulation is still clear even if the spiral cloud is weakened after the landfall of Fung Wong .Diagnosis of thermal field displays warm upper layers and cold lower layes.The numerical results illustrate that GRAPES model is capable of predicting mesoscale severe convective systems even though additional validation should be done with more case study." @default.
- W2378716533 created "2016-06-24" @default.
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- W2378716533 date "2010-01-01" @default.
- W2378716533 modified "2023-09-26" @default.
- W2378716533 title "Numerical Validation of GRAPES Model with Two Severe Precipitation Processes in 2008" @default.
- W2378716533 hasPublicationYear "2010" @default.
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