【论坛首发】Data Assimilation: The Ensemble Kalman Filter

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Data Assimilation: The Ensemble Kalman Filter
2009年第二版， 作者： Geir Evensen
共314页

This book reviews popular data-assimilation methods, such as weak and strong constraint variational methods, ensemble filters and smoothers. The author shows how different methods can be derived from a common theoretical basis, as well as how they differ or are related to each other, and which properties characterize them, using several examples. Readers will appreciate the included introductory material and detailed derivations in the text, and a supplemental web site.

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关键词：Assimilation kalman filter ATION mila different examples included derived methods

是本好书 相信很有用

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学习下

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