| Wu Huiding,Yang Xuelian,Bai Shan,Li Guoqing. 1999. A baroclinic typhoon model with a moving multi-nested grid and variational adjustment initialization Ⅱ. Forecast experiments. Acta Oceanologica Sinica, (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 |
| Received:January 05, 1997 Revised:February 24, 1998 |
| DOI： |
| Key words:Baroclinic typhoon model data assimilation variational adjustment numerical typhoon forecast multinested grid |
| 中文关键词: 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. |
| Author Name | Affiliation | | 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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| Abstract: |
| 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. |
| 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. |
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