| A baroclinic typhoon model with a moving multi-nested grid and variational adjustment initialization Ⅱ. Forecast experiments |
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| 引用本文： | 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]. 海洋学报(英文版), 1999, 18(4): 477-493 |
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| 作者姓名： | Wu Huiding Yang Xuelian Bai Shan Li Guoqing |
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| 作者单位： | Wu Huiding; Yang Xuelian; 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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| 基金项目： | This work was supported by the Chinese National Research Program of Science and Technology under contract 85-903-03-04. |
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| 摘 要： | INTRODUCTIONBeingoneofthemestdisastrousweathersystemsinfluencingthesoutheaStcoastofChinainsurnmerandautumn,typhoonsalsocausestrongstormsUrgeSandseawavesI'eSultinginsevereoceandisasters,whichthreaten~theasternChina'sagriculture,navigation,offshoreoila...
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| 关 键 词： | Baroclinic typhoon model data assimilation variational adjustment numerical typhoon forecast multinested grid |
| 收稿时间： | 1997-01-05 |
| 修稿时间： | 1998-02-24 |
A baroclinic typhoon model with a moving multi-nested grid and variational adjustment initialization II. Forecast experiments |
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| Wu Huiding,Yang Xuelian,Bai Shan and Li Guoqing. A baroclinic typhoon model with a moving multi-nested grid and variational adjustment initialization II. Forecast experiments[J]. Acta Oceanologica Sinica, 1999, 18(4): 477-493 |
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| Authors: | Wu Huiding Yang Xuelian Bai Shan Li Guoqing |
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| Affiliation: | 1.National Marine Environmental Forecasting Centre, Beijing 100081, China2.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 someforecast examples made by this typhoon model are given. |
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| Keywords: | Baroclinic typhoon model data assimilation variational adjustment numerical typhoon forecast multinested grid |
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