Nonlinear Data Assimilation
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Nonlinear Data Assimilation
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Author : Peter Jan Van Leeuwen
language : en
Publisher:
Release Date : 2015
Nonlinear Data Assimilation written by Peter Jan Van Leeuwen and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2015 with categories.
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 high-dimensional example. The second contribution by Cheng and Reich discusses a unified framework for ensemble-transform particle filters. This allows one to bridge successful ensemble Kalman filters with fully nonlinear particle filters, and allows a proper introduction of localization in particle filters, which has been lacking up to now.
Nonlinear Data Assimilation
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Author : Peter Jan Van Leeuwen
language : en
Publisher: Springer
Release Date : 2015-07-22
Nonlinear Data Assimilation written by Peter Jan Van Leeuwen and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2015-07-22 with Mathematics categories.
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 high-dimensional example. The second contribution by Cheng and Reich discusses a unified framework for ensemble-transform particle filters. This allows one to bridge successful ensemble Kalman filters with fully nonlinear particle filters, and allows a proper introduction of localization in particle filters, which has been lacking up to now.
Ocean Forecasting
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Author : Nadia Pinardi
language : en
Publisher: Springer Science & Business Media
Release Date : 2002-03-12
Ocean Forecasting written by Nadia Pinardi and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2002-03-12 with Science categories.
The book gives a first consistent overview of methods and applications of ocean forecasting around the world. This sector of marine science and technology is developing rapidly due to the increasing need for reliable, multidisciplinary information about the marine system, allowing the sustainable usage of coastal resources and the mitigation of global change effects. Several chapters are devoted to the conceptual and theoretical bases of ocean forecasting, ranging from the design of observational and modelling systems, data assimilation techniques and numerical ecosystem modelling. The book also includes examples of modelling/forecasting systems currently in use or being set-up in the ocean for different space and time scales. The book is useful for advanced graduate students as well as scientists in related disciplines, as it enables them to understand the present level of knowledge and performance of existing forecasting systems.
Data Assimilation Methods Algorithms And Applications
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Author : Mark Asch
language : en
Publisher: SIAM
Release Date : 2016-12-29
Data Assimilation Methods Algorithms And Applications written by Mark Asch and has been published by SIAM this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016-12-29 with Mathematics categories.
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. Readers will find a comprehensive guide that is accessible to nonexperts; numerous examples and diverse applications from a broad range of domains, including geophysics and geophysical flows, environmental acoustics, medical imaging, mechanical and biomedical engineering, economics and finance, and traffic control and urban planning; and the latest methods for advanced data assimilation, combining variational and statistical approaches.
An Investigation Of Linear And Nonlinear Data Assimilation Methods In The Presence Of Model Error
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Author : Paul Kirchgessner
language : en
Publisher:
Release Date : 2020
An Investigation Of Linear And Nonlinear Data Assimilation Methods In The Presence Of Model Error written by Paul Kirchgessner and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020 with categories.
Advances In Ocean Data Assimilation Methodologies Forecasting And Reanalysis
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Author : Shiqiu Peng
language : en
Publisher: Frontiers Media SA
Release Date : 2023-12-01
Advances In Ocean Data Assimilation Methodologies Forecasting And Reanalysis written by Shiqiu Peng and has been published by Frontiers Media SA this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-12-01 with Science categories.
Data Assimilation
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Author : Kody Law
language : en
Publisher: Springer
Release Date : 2015-09-05
Data Assimilation written by Kody Law and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2015-09-05 with Mathematics categories.
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. The book is organized into nine chapters: the first contains a brief introduction to the mathematical tools around which the material is organized; the next four are concerned with discrete time dynamical systems and discrete time data; the last four are concerned with continuous time dynamical systems and continuous time data and are organized analogously to the corresponding discrete time chapters. This book is aimed at mathematical researchers interested in a systematic development of this interdisciplinary field, and at researchers from the geosciences, and a variety of other scientific fields, who use tools from data assimilation to combine data with time-dependent models. The numerous examples and illustrations make understanding of the theoretical underpinnings of data assimilation accessible. Furthermore, the examples, exercises and MATLAB software, make the book suitable for students in applied mathematics, either through a lecture course, or through self-study.
Data Assimilation For Atmospheric Oceanic And Hydrologic Applications Vol Ii
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Author : Seon Ki Park
language : en
Publisher: Springer Science & Business Media
Release Date : 2013-05-22
Data Assimilation For Atmospheric Oceanic And Hydrologic Applications Vol Ii written by Seon Ki Park and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013-05-22 with Science categories.
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 Iii
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Author : Seon Ki Park
language : en
Publisher: Springer
Release Date : 2016-12-26
Data Assimilation For Atmospheric Oceanic And Hydrologic Applications Vol Iii written by Seon Ki Park and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016-12-26 with Science categories.
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.
Nonlinear Data Assimilation Using Synchronisation In A Particle Filter
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Author : Flávia Rodrigues Pinheiro
language : en
Publisher:
Release Date : 2018
Nonlinear Data Assimilation Using Synchronisation In A Particle Filter written by Flávia Rodrigues Pinheiro and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018 with categories.