| 书目名称 | Data Assimilation for Atmospheric, Oceanic and Hydrologic Applications (Vol. IV) | | 编辑 | Seon Ki Park,Liang Xu | | 视频video | | | 概述 | Introduces new theories and methodologies in data assimilation.Contains the most recent studies in data assimilation.Presents front-edge applications of data assimilation technique to various discipli | | 图书封面 |  | | 描述 | This book contains the most recent progress in data assimilation in meteorology, oceanography and hydrology including land surface. It spans both theoretical and applicative aspects with various methodologies such as variational, Kalman filter, ensemble, Monte Carlo and artificial intelligence methods. Besides data assimilation, other important topics are also covered including adaptive observations, sensitivity analysis, parameter estimation and AI applications. The book is useful to individual researchers as well as graduate students for a reference in the field of data assimilation. | | 出版日期 | Book 2022 | | 关键词 | Hybrid Data Assimilation; Kalman Filter; Monte Carlo Method; Artificial Intelligence Application; Wiener | | 版次 | 1 | | doi | https://doi.org/10.1007/978-3-030-77722-7 | | isbn_softcover | 978-3-030-77724-1 | | isbn_ebook | 978-3-030-77722-7 | | copyright | The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerl |
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发表于 2025-3-21 17:58:00
