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

Author: Seon Ki Park

Publisher: Springer Science & Business Media

Published: 2013-05-22

Total Pages: 736

ISBN-13: 3642350887

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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 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 the Earth System
Data Assimilation for the Earth System

Author: Richard Swinbank

Publisher: Springer Science & Business Media

Published: 2003-10-31

Total Pages: 394

ISBN-13: 9781402015939

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

Sea-Level Science
Sea-Level Science

Author: David Pugh

Publisher: Cambridge University Press

Published: 2014-04-24

Total Pages: 409

ISBN-13: 1107028191

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This book explores sea-level change on timescales from hours to centuries, its processes and its measurement techniques, for graduate students, researchers and policy-makers.

Atmospheric Data Analysis
Atmospheric Data Analysis

Author: Roger Daley

Publisher: Cambridge University Press

Published: 1993-11-26

Total Pages: 480

ISBN-13: 9780521458252

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Intended to fill a void in the atmospheric science literature, this self-contained text outlines the physical and mathematical basis of all aspects of atmospheric analysis as well as topics important in several other fields outside of it, including atmospheric dynamics and statistics.

Data Assimilation
Data Assimilation

Author: Geir Evensen

Publisher: Springer Science & Business Media

Published: 2006-12-22

Total Pages: 285

ISBN-13: 3540383018

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

Data Assimilation
Data Assimilation

Author: William Lahoz

Publisher: Springer Science & Business Media

Published: 2010-07-23

Total Pages: 710

ISBN-13: 3540747036

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Data assimilation methods were largely developed for operational weather forecasting, but in recent years have been applied to an increasing range of earth science disciplines. This book will set out the theoretical basis of data assimilation with contributions by top international experts in the field. Various aspects of data assimilation are discussed including: theory; observations; models; numerical weather prediction; evaluation of observations and models; assessment of future satellite missions; application to components of the Earth System. References are made to recent developments in data assimilation theory (e.g. Ensemble Kalman filter), and to novel applications of the data assimilation method (e.g. ionosphere, Mars data assimilation).

Data Assimilation: Methods, Algorithms, and Applications
Data Assimilation: Methods, Algorithms, and Applications

Author: Mark Asch

Publisher: SIAM

Published: 2016-12-29

Total Pages: 310

ISBN-13: 1611974542

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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, 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.

Adjoint Equations and Analysis of Complex Systems
Adjoint Equations and Analysis of Complex Systems

Author: Guri I. Marchuk

Publisher: Springer Science & Business Media

Published: 2013-06-29

Total Pages: 475

ISBN-13: 9401706212

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New statements of problems arose recently demanding thorough ana lysis. Notice, first of all, the statements of problems using adjoint equations which gradually became part of our life. Adjoint equations are capable to bring fresh ideas to various problems of new technology based on linear and nonlinear processes. They became part of golden fund of science through quantum mechanics, theory of nuclear reactors, optimal control, and finally helped in solving many problems on the basis of perturbation method and sensitivity theory. To emphasize the important role of adjoint problems in science one should mention four-dimensional analysis problem and solution of inverse problems. This range of problems includes first of all problems of global climate changes on our planet, state of environment and protection of environ ment against pollution, preservation of the biosphere in conditions of vigorous growth of population, intensive development of industry, and many others. All this required complex study of large systems: interac tion between the atmosphere and oceans and continents in the theory of climate, cenoses in the biosphere affected by pollution of natural and anthropogenic origin. Problems of local and global perturbations and models sensitivity to input data join into common complex system.

Modern Approaches to Data Assimilation in Ocean Modeling
Modern Approaches to Data Assimilation in Ocean Modeling

Author: P. Malanotte-Rizzoli

Publisher: Elsevier

Published: 1996-05-10

Total Pages: 469

ISBN-13: 0080536662

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The field of oceanographic data assimilation is now well established. The main area of concern of oceanographic data assimilation is the necessity for systematic model improvement and ocean state estimation. In this respect, the book presents the newest, innovative applications combining the most sophisticated assimilation methods with the most complex ocean circulation models.Ocean prediction has also now emerged as an important area in itself. The book contains reviews of scientific oceanographic issues covering different time and space scales. The application of data assimilation methods can provide significant advances in the understanding of this subject. Also included are the first, recent developments in the forecasting of oceanic flows.Only original articles that have undergone full peer review are presented, to ensure the highest scientific quality. This work provides an excellent coverage of state-of-the-art oceanographic data assimilation.