Coverart for item
The Resource Data assimilation : methods, algorithms, and applications, Mark Asch, Universit{acute}e de Picardie Jules Verne, Amiens, France, Marc Bocquet, E+ѓcole des Ponts ParisTech/CEREA, Marne la Vall{acute}ee, France, Ma{uml}elle Nodet, Universit{acute}e Grenoble Alpes, Grenoble, France

Data assimilation : methods, algorithms, and applications, Mark Asch, Universit{acute}e de Picardie Jules Verne, Amiens, France, Marc Bocquet, E+ѓcole des Ponts ParisTech/CEREA, Marne la Vall{acute}ee, France, Ma{uml}elle Nodet, Universit{acute}e Grenoble Alpes, Grenoble, France

Label
Data assimilation : methods, algorithms, and applications
Title
Data assimilation
Title remainder
methods, algorithms, and applications
Statement of responsibility
Mark Asch, Universit{acute}e de Picardie Jules Verne, Amiens, France, Marc Bocquet, E+ѓcole des Ponts ParisTech/CEREA, Marne la Vall{acute}ee, France, Ma{uml}elle Nodet, Universit{acute}e Grenoble Alpes, Grenoble, France
Creator
Contributor
Author
Publisher
Subject
Language
eng
Summary
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
Member of
Additional physical form
Also available in print version.
Cataloging source
CaBNVSL
Illustrations
illustrations
Index
index present
Literary form
non fiction
Nature of contents
  • dictionaries
  • bibliography
Series statement
Fundamentals of algorithms
Series volume
11
Target audience
adult
Data assimilation : methods, algorithms, and applications, Mark Asch, Universit{acute}e de Picardie Jules Verne, Amiens, France, Marc Bocquet, E+ѓcole des Ponts ParisTech/CEREA, Marne la Vall{acute}ee, France, Ma{uml}elle Nodet, Universit{acute}e Grenoble Alpes, Grenoble, France
Label
Data assimilation : methods, algorithms, and applications, Mark Asch, Universit{acute}e de Picardie Jules Verne, Amiens, France, Marc Bocquet, E+ѓcole des Ponts ParisTech/CEREA, Marne la Vall{acute}ee, France, Ma{uml}elle Nodet, Universit{acute}e Grenoble Alpes, Grenoble, France
Link
http://libproxy.rpi.edu/login?url=http://epubs.siam.org/doi/book/10.1137/1.9781611974546
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Bibliography note
Includes bibliographical references and index
Carrier category
online resource
Carrier MARC source
rdacarrier
Color
black and white
Content category
text
Content type MARC source
rdacontent
Contents
Preface -- part I. Basic methods and algorithms for data assimilation -- 1. Introduction to data assimilation and inverse problems -- 2. Optimal control and variational data assimilation -- 3. Statistical estimation and sequential data assimilation -- part II. Advanced methods and algorithms for data assimilation -- 4. Nudging methods -- 5. Reduced methods -- 6. The ensemble Kalman filter -- 7. Ensemble variational methods -- part III. Applications and case studies -- 8. Applications in environmental sciences -- 9. Applications in atmospheric sciences -- 10. Applications in geosciences -- 11. Applications in medicine, biology, chemistry, and physical sciences -- 12. Applications in human and social sciences
http://library.link/vocab/cover_art
https://contentcafe2.btol.com/ContentCafe/Jacket.aspx?Return=1&Type=S&Value=9781611974546&userID=ebsco-test&password=ebsco-test
Dimensions
unknown
http://library.link/vocab/discovery_link
{'f': 'http://opac.lib.rpi.edu/record=b3916346'}
Extent
1 PDF (xviii, 306 pages)
File format
multiple file formats
Form of item
online
Governing access note
Restricted to subscribers or individual electronic text purchasers
Isbn
9781611974546
Lccn
2016039694
Media category
electronic
Media MARC source
isbdmedia
Other physical details
color illustrations.
Publisher number
FA11
Reformatting quality
access
Specific material designation
remote
System details
  • Mode of access: World Wide Web
  • System requirements: Adobe Acrobat Reader

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