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- W3149945696 abstract "一个观察本地化计划被介绍进一基于整体三维变化(3DVar ) 吸收方法基于单个价值分解技术(SVD-En3DVar ) 到改善吸收技巧。一种逐点详述的分析技术在每观察的重量与增加在分析点和观察点之间的距离在哪个减少被采用。一套数字实验，模仿的 Doppler 雷达数据在被吸收进天气研究并且预报当模特儿，被设计测试计划。结果与在 SVD-En3DVar，其任何一个都不包括这类观察本地化用全球的原版和本地补丁计划获得的那些相比。观察本地化计划不仅在失踪的数据的区域消除假分析增长，而且避免从本地补丁计划产生的不连续的分析领域。新计划提供更好的分析领域和更多合理短期降雨预报比原来的计划。从 10 架雷达吸收真实数据的另外的预报实验显示短期的降水预报技巧能被吸收雷达数据改进，观察本地化计划比另外的二个计划提供一张更好的预报。" @default.
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- W3149945696 date "2012-01-01" @default.
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- W3149945696 title "Doppler Radar Data Assimilation with a Local SVD-En3DVar Method" @default.
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