
Computational Methods for Data Evaluation and Assimilation
Chapman & Hall/CRC (Publisher)
1st Edition
Published on 21. August 2013
Book
Hardback
374 pages
978-1-58488-735-5 (ISBN)
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.
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.
Reviews / Votes
"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 1283More details
Language
English
Place of publication
Oxford
United States
Publishing group
Taylor & Francis Inc
Target group
Professional and scholarly
Academic and Professional Practice & Development
Product notice
Paper over boards
Dimensions
Height: 240 mm
Width: 161 mm
Thickness: 25 mm
Weight
728 gr
ISBN-13
978-1-58488-735-5 (9781584887355)
Copyright in bibliographic data and cover images is held by Nielsen Book Services Limited or by the publishers or by their respective licensors: all rights reserved.
Schweitzer Classification
Other editions
Additional editions

Dan Gabriel Cacuci | Ionel Michael Navon | Mihaela Ionescu-Bujor
Computational Methods for Data Evaluation and Assimilation
Book
09/2019
1st Edition
Chapman & Hall/CRC
€96.60
Shipment within 15-20 days

Dan Gabriel Cacuci | Ionel Michael Navon | Mihaela Ionescu-Bujor
Computational Methods for Data Evaluation and Assimilation
E-Book
04/2016
1st Edition
Chapman & Hall/CRC
€89.49
Available for download

Dan Gabriel Cacuci | Ionel Michael Navon | Mihaela Ionescu-Bujor
Computational Methods for Data Evaluation and Assimilation
E-Book
04/2016
Chapman and Hall
€89.99
Available for download
Persons
Cacuci, Dan Gabriel; Navon, Ionel Michael; Ionescu-Bujor, Mihaela
Content
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.