Data Assimilation for the Geosciences

Data Assimilation for the Geosciences
Author :
Publisher : Elsevier
Total Pages : 978
Release :
ISBN-10 : 9780128044841
ISBN-13 : 0128044845
Rating : 4/5 (845 Downloads)

Book Synopsis Data Assimilation for the Geosciences by : Steven J. Fletcher

Download or read book Data Assimilation for the Geosciences written by Steven J. Fletcher and published by Elsevier. This book was released on 2017-03-10 with total page 978 pages. Available in PDF, EPUB and Kindle. Book excerpt: Data Assimilation for the Geosciences: From Theory to Application brings together all of the mathematical,statistical, and probability background knowledge needed to formulate data assimilation systems in one place. It includes practical exercises for understanding theoretical formulation and presents some aspects of coding the theory with a toy problem. The book also demonstrates how data assimilation systems are implemented in larger scale fluid dynamical problems related to the atmosphere, oceans, as well as the land surface and other geophysical situations. It offers a comprehensive presentation of the subject, from basic principles to advanced methods, such as Particle Filters and Markov-Chain Monte-Carlo methods. Additionally, Data Assimilation for the Geosciences: From Theory to Application covers the applications of data assimilation techniques in various disciplines of the geosciences, making the book useful to students, teachers, and research scientists. Includes practical exercises, enabling readers to apply concepts in a theoretical formulation Offers explanations for how to code certain parts of the theory Presents a step-by-step guide on how, and why, data assimilation works and can be used


Data Assimilation for the Geosciences Related Books

Data Assimilation for the Geosciences
Language: en
Pages: 978
Authors: Steven J. Fletcher
Categories: Science
Type: BOOK - Published: 2017-03-10 - Publisher: Elsevier

DOWNLOAD EBOOK

Data Assimilation for the Geosciences: From Theory to Application brings together all of the mathematical,statistical, and probability background knowledge need
Data Assimilation
Language: en
Pages: 256
Authors: Kody Law
Categories: Mathematics
Type: BOOK - Published: 2015-09-05 - Publisher: Springer

DOWNLOAD EBOOK

This book provides a systematic treatment of the mathematical underpinnings of work in data assimilation, covering both theoretical and computational approaches
Principles of Data Assimilation
Language: en
Pages: 413
Authors: Seon Ki Park
Categories: Science
Type: BOOK - Published: 2022-09-29 - Publisher: Cambridge University Press

DOWNLOAD EBOOK

A unique combination of both theoretical and practical aspects of data assimilation with examples and exercises for students.
Computational Methods for Data Evaluation and Assimilation
Language: en
Pages: 372
Authors: Dan Gabriel Cacuci
Categories: Mathematics
Type: BOOK - Published: 2016-04-19 - Publisher: CRC Press

DOWNLOAD EBOOK

Data evaluation and data combination require the use of a wide range of probability theory concepts and tools, from deductive statistics mainly concerning frequ
The Statistical Physics of Data Assimilation and Machine Learning
Language: en
Pages: 207
Authors: Henry D. I. Abarbanel
Categories: Computers
Type: BOOK - Published: 2022-02-17 - Publisher: Cambridge University Press

DOWNLOAD EBOOK

The theory of data assimilation and machine learning is introduced in an accessible manner for undergraduate and graduate students.