Data Assimilation for the Geosciences

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  • Publisher : Elsevier
  • Release : 10 March 2017
  • ISBN : 9780128044841
  • Page : 976 pages
  • Rating : 4.5/5 from 103 voters

Data Assimilation for the Geosciences Book PDF summary

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

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Data Assimilation for the Geosciences

Data Assimilation for the Geosciences
  • Author : Steven James Fletcher
  • Publisher : Elsevier
  • Release Date : 2017-03-10
  • ISBN : 9780128044841
DOWNLOAD BOOKData Assimilation for the Geosciences

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.

Advanced Data Assimilation for Geosciences

Advanced Data Assimilation for Geosciences
  • Author : Eric Blayo
  • Publisher : Oxford University Press, USA
  • Release Date : 2014-10-30
  • ISBN : 9780198723844
DOWNLOAD BOOKAdvanced Data Assimilation for Geosciences

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 assimilation designates the set of mathematical methods used to optimally combine observations with models, to fulfil the need of an accurateestimate of the system state. Because of the weather forecast

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
  • Release Date : 2013-05-22
  • ISBN : 9783642350887
DOWNLOAD BOOKData Assimilation for Atmospheric, Oceanic and Hydrologic Applications (Vol. II)

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

Data Assimilation
  • Author : Kody Law,Andrew Stuart,Konstantinos Zygalakis
  • Publisher : Springer
  • Release Date : 2015-09-05
  • ISBN : 9783319203256
DOWNLOAD BOOKData Assimilation

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 examples used in the text, together with the algorithms which are introduced and discussed, are all illustrated by the MATLAB software detailed in the book and made freely available online.

Data Assimilation: Methods, Algorithms, and Applications

Data Assimilation: Methods, Algorithms, and Applications
  • Author : Mark Asch,Marc Bocquet,Maelle Nodet
  • Publisher : SIAM
  • Release Date : 2016-12-29
  • ISBN : 9781611974546
DOWNLOAD BOOKData Assimilation: Methods, Algorithms, and Applications

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, the inverse problem nature of data assimilation, emphasizing ?why? and not just ?how.? Methods and diagnostics are emphasized, enabling readers to readily apply them to their own field of study.

Data Assimilation

Data Assimilation
  • Author : Geir Evensen
  • Publisher : Springer Science & Business Media
  • Release Date : 2006-12-22
  • ISBN : 9783540383017
DOWNLOAD BOOKData Assimilation

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 several examples. Readers will appreciate the included introductory material and detailed derivations in the text, and a supplemental web site.

Improvements to Ensemble Methods for Data Assimilation in the Geosciences

Improvements to Ensemble Methods for Data Assimilation in the Geosciences
  • Author : Patrick Nima Raanes
  • Publisher : Unknown
  • Release Date : 2015
  • ISBN : OCLC:1065268553
DOWNLOAD BOOKImprovements to Ensemble Methods for Data Assimilation in the Geosciences

Nonlinear Data Assimilation

Nonlinear Data Assimilation
  • Author : Peter Jan Van Leeuwen,Yuan Cheng,Sebastian Reich
  • Publisher : Springer
  • Release Date : 2015-07-22
  • ISBN : 9783319183473
DOWNLOAD BOOKNonlinear Data Assimilation

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 present-day particle filters and explorers new ideas for proposal densities to solve them, converging to particle filters that work well in systems of any dimension, closing the contribution with a

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
  • Release Date : 2009-02-08
  • ISBN : 9783540710561
DOWNLOAD BOOKData Assimilation for Atmospheric, Oceanic and Hydrologic Applications

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, American Geophysical Union, European G- physical Union, World Meteorological Organization, etc. nd Recently, the 2 Annual Meeting of the Asia Oceania Geosciences Society (AOGS), held in Singapore in June 2005, conducted a

Advanced Data Assimilation for Geosciences

Advanced Data Assimilation for Geosciences
  • Author : Éric Blayo,Marc Bocquet,Emmanuel Cosme,Leticia F. Cugliandolo
  • Publisher : OUP Oxford
  • Release Date : 2014-10-30
  • ISBN : 9780191035777
DOWNLOAD BOOKAdvanced Data Assimilation for Geosciences

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 evolution, and appropriate prior information. Data assimilation has a long history of application to high-dimensional geophysical systems dating back to the 1960s, with application to the estimation of initial conditions

Probabilistic Forecasting and Bayesian Data Assimilation

Probabilistic Forecasting and Bayesian Data Assimilation
  • Author : Sebastian Reich,Colin Cotter
  • Publisher : Cambridge University Press
  • Release Date : 2015-05-14
  • ISBN : 9781107069398
DOWNLOAD BOOKProbabilistic Forecasting and Bayesian Data Assimilation

Covers key ideas and concepts. Ideal introduction for graduate students in any field where Bayesian data assimilation is applied.

Land Surface Observation, Modeling and Data Assimilation

Land Surface Observation, Modeling and Data Assimilation
  • Author : Shunlin Liang
  • Publisher : World Scientific
  • Release Date : 2013
  • ISBN : 9789814472616
DOWNLOAD BOOKLand Surface Observation, Modeling and Data Assimilation

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 in their areas, ensuring that the text is authoritative.This book comprises four parts that are logically connected from data, modeling, data assimilation integrating data and models to applications. Land

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
  • Release Date : 2003-10-31
  • ISBN : 1402015933
DOWNLOAD BOOKData Assimilation for the Earth System

Proceedings of the NATO Advanced Study Institute, Acquafredda, Maratea, Italy from 19 May to 1 June 2002

Data Assimilation Fundamentals

Data Assimilation Fundamentals
  • Author : Geir Evensen,Femke C. Vossepoel,Peter Jan van Leeuwen
  • Publisher : Springer Nature
  • Release Date : 2022-04-22
  • ISBN : 9783030967093
DOWNLOAD BOOKData Assimilation Fundamentals

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 at today's popular data-assimilation methods. This strategy is the opposite of most textbooks and reviews on data assimilation that typically take a bottom-up approach to derive a particular assimilation method.

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

Data Assimilation for Atmospheric, Oceanic and Hydrologic Applications (Vol. IV)
  • Author : Seon Ki Park
  • Publisher : Springer Nature
  • Release Date : 2022-08-10
  • ISBN : 9783030777227
DOWNLOAD BOOKData Assimilation for Atmospheric, Oceanic and Hydrologic Applications (Vol. IV)