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Advanced Data Assimilation for Geosciences
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Advanced Data Assimilation for Geosciences: Lecture Notes of the Les Houches School of Physics: Special Issue, June 2012

Éric Blayo, Marc Bocquet, Emmanuel Cosme, and Leticia F. Cugliandolo

Abstract

This book gathers notes from lectures and seminars given during a three-week school on theoretical and applied data assimilation held in Les Houches in 2012. Data assimilation aims at determining as accurately as possible the state of a dynamical system by combining heterogeneous sources of information in an optimal way. Generally speaking, the mathematical methods of data assimilation describe algorithms for forming optimal combinations of observations of a system, a numerical model that describes its evolution, and appropriate prior information. Data assimilation has a long history of applic ... More

Keywords: data assimilation, geosciences, variational data assimilation, ensemble data assimilation, Kalman filter, smoothers, information theory, applications

Bibliographic Information

Print publication date: 2014 Print ISBN-13: 9780198723844
Published to Oxford Scholarship Online: March 2015 DOI:10.1093/acprof:oso/9780198723844.001.0001

Authors

Affiliations are at time of print publication.

Éric Blayo, editor
University of Grenoble, France

Marc Bocquet, editor
Université Paris-Est and INRIA, CEREA, joint lab École des Ponts ParisTech and EdF R&D, Marne-la-Vallée, France

Emmanuel Cosme, editor
University of Grenoble, France

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Contents

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Part 1 Key lectures

4 Smoothers

E. Cosme

Part 2 Specialized lectures

16 Assimilation of images

A. Vidard, O. Titaud

18 Selected topics in multiscale data assimilation

M. Bocquet, L. Wu, F. Chevallier, and M. R. Kookhan

19 Data assimilation in meteorology

F. Rabier and M. Fisher

22 Data assimilation in atmospheric chemistry and air quality

H. Elbern, , E. Friese, L. Nieradzik, and J. Schwinger

24 Data assimilation in coastal oceanography

J. Zavala-Garay, J. Wilkin, and J. Levin

25 Data assimilation in glaciology

B. Bonan, M. Nodet, O. Ozenda, and C. Ritz