Data Assimilation for Atmospheric, Oceanic and Hydrologic Applications (Vol. II)
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Author
Contributions
- Xu, Liang - Contributor
- SpringerLink (Online service) - Contributor
Publication
2013 - Springer Berlin Heidelberg, Berlin, Heidelberg, Germany
Language
English
Word Count
182,500 words, Guess
Page Count
730 pages
Physical Format
[electronic resource] /
Identifiers
- Open LibraryOL27029288M
- ISBN-139783642350887
- OCLC Control Numberdataassimilation00kang
Classifications
- DDC551.5
- LCCQC851-999
Description
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.
Subjects
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