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Wu Huiding,Yang Xuelian,Bai Shan,Li Guoqing.A baroclinic typhoon model with a moving multi-nested grid and variational adjustment initialization Ⅱ. Forecast experiments[J].Acta Oceanologica Sinica,1999,(4):477-493
A baroclinic typhoon model with a moving multi-nested grid and variational adjustment initialization Ⅱ. Forecast experiments
A baroclinic typhoon model with a moving multi-nested grid and variational adjustment initialization Ⅱ. Forecast experiments
投稿时间:1997-01-05  修订日期:1998-02-24
DOI:
中文关键词:  Baroclinic typhoon model  data assimilation  variational adjustment  numerical typhoon forecast  multinested grid
英文关键词:Baroclinic typhoon model  data assimilation  variational adjustment  numerical typhoon forecast  multinested grid
基金项目:This work was supported by the Chinese National Research Program of Science and Technology under contract 85-903-03-04.
作者单位
Wu Huiding National Marine Environmental Forecasting Centre, Beijing 100081, China 
Yang Xuelian National Marine Environmental Forecasting Centre, Beijing 100081, China 
Bai Shan National Marine Environmental Forecasting Centre, Beijing 100081, China 
Li Guoqing Department of Physics and Physical Oceanography, Memorial University of Newfoundland, St. John's, NF, A1B 3X7, Canada 
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中文摘要:
      A 3-dimensional baroclinic typhoon model with a moving multi-nested grid and its initialization are described first.Prediction results are improved by using a simple but effective data assimilation method in which the initial field is adjusted by the sixth hour's typhoon report and the weak-constraint variational principle.Finally some forecyst examples made by this typhoon model are given.
英文摘要:
      A 3-dimensional baroclinic typhoon model with a moving multi-nested grid and its initialization are described first.Prediction results are improved by using a simple but effective data assimilation method in which the initial field is adjusted by the sixth hour's typhoon report and the weak-constraint variational principle.Finally some forecyst examples made by this typhoon model are given.
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