Computational Methods for Data Evaluation and Assimilation

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Computational Methods for Data Evaluation and Assimilation

Computational Methods for Data Evaluation and Assimilation

Published:

August 9, 2013 by Chapman and Hall/CRC - 373 Pages

Author(s):

Dan G. Cacuci, University of Karlsruhe, Germany; Ionel Michael Navon, Florida State University, Tallahassee, USA; Mihaela Ionescu-Bujor, University of Karlsruhe, Eggenstein-Leopoldshafen, Germany

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Purchasing Options

Hardback

$99.95

ISBN 9781584887355

Cat# C7354

Features

Presents an updated look at data adjustment and assimilation

Includes background material needed to understand and use this new sensitivity analysis technique

Provides applications from the fields of fluid mechanics, nuclear engineering, electrical engineering, and chemistry

Covers the underlying mathematical concepts and methods for both static and time-dependent systems

Discusses time-independent three-dimensional and four-dimensional variational data assimilation

Summary

Computing Methods for Data Analysis and Assimilation presents a comprehensive, up-to-date treatment of data analysis and assimilation. With practical applications from a wide range of fields, including climatology, this book introduces the optimal control mathematical framework for the data assimilation concepts of state vector, control space, observations, and departures. The authors discuss the methodologies of both time-independent three-dimensional and four-dimensional variational data assimilation. They also present the mathematical concepts and methods underlying data adjustment methodology for both static and time-dependent systems.

Experimental Data Evaluation:Basic Concepts. Computation of Means and Variances From Measurements. Optimization Methods For Large-Scale Data Assimilation. Basic Principles of 4-D VAR. 4-D VAR in Numerical Weather Prediction Models. Appendices. Bibliography. Index.