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portada Computational Methods for Data Evaluation and Assimilation
Type
Physical Book
Publisher
Author
Language
English
Pages
376
Format
Paperback
ISBN13
9780367379612
Edition No.
1

Computational Methods for Data Evaluation and Assimilation

Dan Gabriel Cacuci (Author) · Routledge · Paperback

Computational Methods for Data Evaluation and Assimilation - Dan Gabriel Cacuci

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Synopsis "Computational Methods for Data Evaluation and Assimilation "

Data evaluation and data combination require the use of a wide range of probability theory concepts and tools, from deductive statistics mainly concerning frequencies and sample tallies to inductive inference for assimilating non-frequency data and a priori knowledge. Computational Methods for Data Evaluation and Assimilation presents interdisciplinary methods for integrating experimental and computational information. This self-contained book shows how the methods can be applied in many scientific and engineering areas.After presenting the fundamentals underlying the evaluation of experimental data, the book 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 and similar applications in the geophysical sciences. 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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