Dan Gabriel Cacuci, Ionel Michael Navon, Mihaela Ionescu-Bujor

Computational Methods for Data Evaluation and Assimilation (eBook, ePUB)

• Format: ePub

Produktbeschreibung

This self-contained book presents interdisciplinary methods for integrating experimental and computational information in many scientific and engineering areas. It explains how to estimate covariances and confidence intervals from experimental data. It then describes algorithms for both unconstrained and constrained minimization of large-scale systems, such as time-dependent variational data assimilation in weather prediction. The book also discusses several basic principles of four-dimensional variational assimilation (4D VAR) and highlights specific difficulties in applying 4D VAR to large-scale operational numerical weather prediction models.

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Produktdetails

• Verlag: Taylor & Francis eBooks
• Erscheinungstermin: 19. April 2016
• Englisch
• ISBN-13: 9781040205716
• Artikelnr.: 73255867

Autorenporträt

Cacuci, Dan Gabriel; Navon, Ionel Michael; Ionescu-Bujor, Mihaela

Inhaltsangabe

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