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Data Assimilation for Atmospheric, Oceanic and Hydrologic Applications (Vol. II)

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Release : 2013-05-22
Genre : Science
Kind : eBook
Book Rating : 887/5 ( reviews)

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Book Synopsis Data Assimilation for Atmospheric, Oceanic and Hydrologic Applications (Vol. II) by : Seon Ki Park

Download or read book Data Assimilation for Atmospheric, Oceanic and Hydrologic Applications (Vol. II) written by Seon Ki Park. This book was released on 2013-05-22. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Data Assimilation for Atmospheric, Oceanic and Hydrologic Applications (Vol. IV)

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Release : 2021-11-09
Genre : Science
Kind : eBook
Book Rating : 227/5 ( reviews)

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Book Synopsis Data Assimilation for Atmospheric, Oceanic and Hydrologic Applications (Vol. IV) by : Seon Ki Park

Download or read book Data Assimilation for Atmospheric, Oceanic and Hydrologic Applications (Vol. IV) written by Seon Ki Park. This book was released on 2021-11-09. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Data Assimilation for Atmospheric, Oceanic and Hydrologic Applications

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Release : 2010-10-29
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Kind : eBook
Book Rating : 463/5 ( reviews)

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Book Synopsis Data Assimilation for Atmospheric, Oceanic and Hydrologic Applications by : Seon K. Park

Download or read book Data Assimilation for Atmospheric, Oceanic and Hydrologic Applications written by Seon K. Park. This book was released on 2010-10-29. Available in PDF, EPUB and Kindle. Book excerpt:

Data Assimilation for Atmospheric, Oceanic and Hydrologic Applications (Vol. III)

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Release : 2016-12-26
Genre : Science
Kind : eBook
Book Rating : 152/5 ( reviews)

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Book Synopsis Data Assimilation for Atmospheric, Oceanic and Hydrologic Applications (Vol. III) by : Seon Ki Park

Download or read book Data Assimilation for Atmospheric, Oceanic and Hydrologic Applications (Vol. III) written by Seon Ki Park. This book was released on 2016-12-26. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Principles of Data Assimilation

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Release : 2022-09-29
Genre : Science
Kind : eBook
Book Rating : 761/5 ( reviews)

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Book Synopsis Principles of Data Assimilation by : Seon Ki Park

Download or read book Principles of Data Assimilation written by Seon Ki Park. This book was released on 2022-09-29. Available in PDF, EPUB and Kindle. Book excerpt: A unique combination of both theoretical and practical aspects of data assimilation with examples and exercises for students.

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