Computational Methods for Data Evaluation and Assimilation (Paperback)

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.

General

Imprint:	Crc Press
Country of origin:	United Kingdom
Release date:	September 2019
Authors:	Dan Gabriel Cacuci • Ionel Michael Navon • Mihaela Ionescu-Bujor
Dimensions:	234 x 156mm (L x W)
Format:	Paperback
Pages:	374
ISBN-13:	978-0-367-37961-2
Categories:	Books > Science & Mathematics > Mathematics > Numerical analysis Promotions
LSN:	0-367-37961-9
Barcode:	9780367379612

Is the information for this product incomplete, wrong or inappropriate? Let us know about it.

Does this product have an incorrect or missing image? Send us a new image.

Is this product missing categories? Add more categories.

Review This Product

No reviews yet - be the first to create one!