Computational Methods for Data Evaluation and Assimilation
Author: Dan Gabriel Cacuci , Ionel Michael Navon , Mihaela Ionescu-Bujor & 0 more
Publisher: Chapman and Hall/CRC
Edition: 1st edition
Publication Date: 2013-08-21
Language: English
Paperback: 374 pages
ISBN-10: 1584887354
ISBN-13: 9781584887355
Book Description
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.
Review
“This book, addressed to graduate students, post-graduate students, and inter-disciplinary scientist, focuses on computational techniques used to experimental data evaluation and assimilation. The theory is illustrated with examples belonging to many scientific and engineering domains.”
–Florin Gorunescu, in Zentralblatt MATH 1283
About the Author
未经允许不得转载：Wow! eBook » Industrial Network Security: Securing Critical Infrastructure Networks for Smart Grid, SCADA, and Other Industrial Control Systems