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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 targeting observation, sensitivity analysis, and parameter estimation. The book will be useful to individual researchers as well as graduate students for a reference in the field of data assimilation.
This is a digital product.
Data Assimilation for Atmospheric, Oceanic and Hydrologic Applications (Vol. II) is written by Author and published by Springer. The Digital and eTextbook ISBNs for Data Assimilation for Atmospheric, Oceanic and Hydrologic Applications (Vol. II) are 9783642350887, 3642350887 and the print ISBNs are 9783642350870, 3642350879.

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