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Numerical Weather Prediction and Data Assimilation, Petros Katsafados, Elias Mavromatidis, Christ Spyr


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Автор: Petros Katsafados, Elias Mavromatidis, Christ Spyr
Название:  Numerical Weather Prediction and Data Assimilation
ISBN: 9781786301413
Издательство: Wiley
Классификация:
ISBN-10: 1786301415
Обложка/Формат: Paperback
Страницы: 160
Вес: 0.67 кг.
Дата издания: 04.01.2021
Серия: Mathematics
Язык: English
Размер: 235 x 165 x 19
Читательская аудитория: Professional & vocational
Ключевые слова: Mathematics
Основная тема: Mathematics
Ссылка на Издательство: Link
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Поставляется из: Англии
Описание: Presents an archival survey, historical research, and archaeological description of the main Italian excavations in Alexandria from the 1890s to the 1950s, offering detailed descriptions of excavations at Hadra, Chatby, Anfushi and more, accompanied by often unpublished photographs and a catalogue of rare photographs of further sites in Alexandria.

Probabilistic Forecasting and Bayesian Data Assimilation

Автор: Reich
Название: Probabilistic Forecasting and Bayesian Data Assimilation
ISBN: 1107069394 ISBN-13(EAN): 9781107069398
Издательство: Cambridge Academ
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Цена: 128830.00 T
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Описание: This book focuses on the Bayesian approach to data assimilation, outlining the subject`s key ideas and concepts, and explaining how to implement specific data assimilation algorithms. It is an ideal introduction for graduate students in applied mathematics, computer science, engineering, geoscience and other emerging application areas.

Probabilistic Forecasting and Bayesian Data Assimilation

Автор: Reich
Название: Probabilistic Forecasting and Bayesian Data Assimilation
ISBN: 1107663911 ISBN-13(EAN): 9781107663916
Издательство: Cambridge Academ
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Цена: 49630.00 T
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Описание: This book focuses on the Bayesian approach to data assimilation, outlining the subject`s key ideas and concepts, and explaining how to implement specific data assimilation algorithms. It is an ideal introduction for graduate students in applied mathematics, computer science, engineering, geoscience and other emerging application areas.

Satellite Remote Sensing in Hydrological Data Assimilation

Автор: Mehdi Khaki
Название: Satellite Remote Sensing in Hydrological Data Assimilation
ISBN: 3030373746 ISBN-13(EAN): 9783030373740
Издательство: Springer
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Цена: 121110.00 T
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Описание: This book presents the fundamentals of data assimilation and reviews the application of satellite remote sensing in hydrological data assimilation. Satellite remote sensing data provides a great opportunity to improve the performance of models through data assimilation.

Data Assimilation for the Geosciences

Автор: Fletcher, Steven James
Название: Data Assimilation for the Geosciences
ISBN: 0128044446 ISBN-13(EAN): 9780128044445
Издательство: Elsevier Science
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Цена: 123360.00 T
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Описание: Data Assimilation for the Geosciences: From Theory to Application brings together all of the mathematical,statistical, and probability background knowledge needed to formulate data assimilation systems in one place. It includes practical exercises for understanding theoretical formulation and presents some aspects of coding the theory with a toy problem. The book also demonstrates how data assimilation systems are implemented in larger scale fluid dynamical problems related to the atmosphere, oceans, as well as the land surface and other geophysical situations. It offers a comprehensive presentation of the subject, from basic principles to advanced methods, such as Particle Filters and Markov-Chain Monte-Carlo methods. Additionally, Data Assimilation for the Geosciences: From Theory to Application covers the applications of data assimilation techniques in various disciplines of the geosciences, making the book useful to students, teachers, and research scientists.

Data Assimilation

Автор: Geir Evensen
Название: Data Assimilation
ISBN: 3642424767 ISBN-13(EAN): 9783642424762
Издательство: Springer
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Цена: 174130.00 T
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Описание: This book reviews popular data-assimilation methods, such as weak and strong constraint variational methods, ensemble filters and smoothers.


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