Data Assimilation for the Geosciences
  • Author : Steven James Fletcher
  • Release Date : 10 March 2017
  • Publisher : Elsevier
  • Genre : Science
  • Pages : 976
  • ISBN 13 : 9780128044841

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Book Description: 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. Includes practical exercises, enabling readers to apply concepts in a theoretical formulation Offers explanations for how to code certain parts of the theory Presents a step-by-step guide on how, and why, data assimilation works and can be used

Data Assimilation for the Geosciences

Data Assimilation for the Geosciences

Author : Steven James Fletcher
Publisher : Elsevier
Genre : Science
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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 ...

Data Assimilation for Atmospheric  Oceanic and Hydrologic Applications  Vol  II

Data Assimilation for Atmospheric Oceanic and Hydrologic Applications Vol II

Author : Seon Ki Park,Liang Xu
Publisher : Springer Science & Business Media
Genre : Science
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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 ...

Advanced Data Assimilation for Geosciences

Advanced Data Assimilation for Geosciences

Author : Eric Blayo
Publisher : Oxford University Press, USA
Genre : Science
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In many applications of geophysics (weather forecast, study of climate evolution and variability), it is necessary to get the best possible estimate of the state of the system under study. In general, information about this system comes from observations and numerical models. However, none of these sources is perfect. Data ...

Data Assimilation

Data Assimilation

Author : Kody Law,Andrew Stuart,Konstantinos Zygalakis
Publisher : Springer
Genre : Mathematics
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This book provides a systematic treatment of the mathematical underpinnings of work in data assimilation, covering both theoretical and computational approaches. Specifically the authors develop a unified mathematical framework in which a Bayesian formulation of the problem provides the bedrock for the derivation, development and analysis of algorithms; the many ...

Data Assimilation

Data Assimilation

Author : Geir Evensen
Publisher : Springer Science & Business Media
Genre : Science
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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 ...

Data Assimilation  Methods  Algorithms  and Applications

Data Assimilation Methods Algorithms and Applications

Author : Mark Asch,Marc Bocquet,Maelle Nodet
Publisher : SIAM
Genre : Mathematics
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Data assimilation is an approach that combines observations and model output, with the objective of improving the latter. This book places data assimilation into the broader context of inverse problems and the theory, methods, and algorithms that are used for their solution. It provides a framework for, and insight into, ...

Nonlinear Data Assimilation

Nonlinear Data Assimilation

Author : Peter Jan Van Leeuwen,Yuan Cheng,Sebastian Reich
Publisher : Springer
Genre : Mathematics
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This book contains two review articles on nonlinear data assimilation that deal with closely related topics but were written and can be read independently. Both contributions focus on so-called particle filters. The first contribution by Jan van Leeuwen focuses on the potential of proposal densities. It discusses the issues with ...

Advanced Data Assimilation for Geosciences

Advanced Data Assimilation for Geosciences

Author : Éric Blayo,Marc Bocquet,Emmanuel Cosme,Leticia F. Cugliandolo
Publisher : OUP Oxford
Genre : Science
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Data assimilation aims at determining as accurately as possible the state of a dynamical system by combining heterogeneous sources of information in an optimal way. Generally speaking, the mathematical methods of data assimilation describe algorithms for forming optimal combinations of observations of a system, a numerical model that describes its ...

Data Assimilation Fundamentals

Data Assimilation Fundamentals

Author : Geir Evensen,Femke C. Vossepoel,Peter Jan van Leeuwen
Publisher : Springer Nature
Genre : Science
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This open-access textbook's significant contribution is the unified derivation of data-assimilation techniques from a common fundamental and optimal starting point, namely Bayes' theorem. Unique for this book is the "top-down" derivation of the assimilation methods. It starts from Bayes theorem and gradually introduces the assumptions and approximations needed to arrive ...

Data Assimilation for Atmospheric  Oceanic and Hydrologic Applications

Data Assimilation for Atmospheric Oceanic and Hydrologic Applications

Author : SEON KI PARK,Liang Xu
Publisher : Springer Science & Business Media
Genre : Science
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Data assimilation (DA) has been recognized as one of the core techniques for modern forecasting in various earth science disciplines including meteorology, oceanography, and hydrology. Since early 1990s DA has been an important s- sion topic in many academic meetings organized by leading societies such as the American Meteorological Society, ...

Data Assimilation for the Earth System

Data Assimilation for the Earth System

Author : Richard Swinbank,Victor Shutyaev,William Albert Lahoz
Publisher : Springer Science & Business Media
Genre : Mathematics
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Proceedings of the NATO Advanced Study Institute, Acquafredda, Maratea, Italy from 19 May to 1 June 2002...

Land Surface Observation  Modeling and Data Assimilation

Land Surface Observation Modeling and Data Assimilation

Author : Shunlin Liang
Publisher : World Scientific
Genre : Earth sciences
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This book is unique in its ambitious and comprehensive coverage of earth system land surface characterization, from observation and modeling to data assimilation, including recent developments in theory and techniques, and novel application cases. The contributing authors are active research scientists, and many of them are internationally known leading experts ...