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Mathematical concepts of data assimilation

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Nichols, N. K. ORCID: https://orcid.org/0000-0003-1133-5220 (2010) Mathematical concepts of data assimilation. In: Lahoz, W., Khattatov, B. and Menard, R. (eds.) Data assimilation: making sense of observations. Springer, pp. 13-40. ISBN 9783540747024

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Item Type:Book or Report Section
Refereed:Yes
Divisions:Science > School of Mathematical, Physical and Computational Sciences > Department of Mathematics and Statistics
ID Code:2001
Publisher:Springer
Publisher Statement: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). Written for: Researchers, PhD and post-doctoral students working on the theory and applications of data assimilation, researchers in the various fields of earth sciences who want to gain a better knowledge of the theory of data assimilation and how it can be applied to the specific fields of earth sciences Keywords: Data assimilation Ensemble Kalman filter Numerical weather prediction
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