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机构地区:[1]Zhejiang Institute of Meteorology [2]LACS, Institute of Atmospheric Physics,Chinese Academy of Sciences
出 处:《Journal of Tropical Meteorology》2008年第1期41-44,共4页热带气象学报(英文版)
基 金:Applied Research on Ensemble Forecast Using Multiple Parameterization Schemes, a NaturalScience Foundation project of Zhejiang Province (Y505286)
摘 要:Ensemble prediction experiments of the tracks of eight tropical cyclones occurring between 2004-2006 over the western Pacific have been performed by using MM5 with five cumulus parameterization schemes. The results show that the predictions of the tracks of the tropical cyclones are sensitive to the selection of cumulus parameterization schemes. Each scheme has its own advantage and disadvantage, and the predications without cumulus parameterization schemes are not the worst, sometimes even better than the others. And all of the three ensemble methods improve the predictions of the tracks significantly, among which the ensemble method without parameterization schemes, the Grell, Betts-Miller and Kain-Fritsch schemes are the best.Ensemble prediction experiments of the tracks of eight tropical cyclones occurring between 2004 - 2006 over the western Pacific have been performed by using MM5 with five cumulus parameterization schemes. The results show that the predictions of the tracks of the tropical cyclones are sensitive to the selection of cumulus parameterization schemes. Each scheme has its own advantage and disadvantage, and the predications without cumulus parameterization schemes are not the worst, sometimes even better than the others. And all of the three ensemble methods improve the predictions of the tracks significantly, among which the ensemble method without parameterization schemes, the Grell, Betts-Miller and Kain-Fritsch schemes are the best.
关 键 词:ensemble prediction cumulus parameterization numerical experiment
分 类 号:P457.8[天文地球—大气科学及气象学]
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