Data assimilation for atmospheric, oceanic and hydrologic applications (Vol. III)

Seon Ki Park; Liang Xu

doi:10.1007/978-3-319-43415-5

Data assimilation for atmospheric, oceanic and hydrologic applications (Vol. III)

Seon Ki Park, Liang Xu

Department of Environmental Science & Engineering

Research output: Book/Report › Book › peer-review

8 Scopus citations

Abstract

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.

Original language	English
Publisher	Springer International Publishing
Number of pages	553
ISBN (Electronic)	9783319434155
ISBN (Print)	9783319434148
DOIs	https://doi.org/10.1007/978-3-319-43415-5
State	Published - 1 Jan 2016

Bibliographical note

Publisher Copyright:
© Springer International Publishing Switzerland 2017.

Keywords

Adjoint method
Data assimilation
Kalman filter
Monte carlo method
Sensitivity analysis
Targeting observation
Variational method

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10.1007/978-3-319-43415-5

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KW - Monte carlo method

KW - Sensitivity analysis

KW - Targeting observation

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Data assimilation for atmospheric, oceanic and hydrologic applications (Vol. III)

Abstract

Bibliographical note

Keywords

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