Data Assimilation for the Geosciences

Released on by Steven J. Fletcher
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  • Data Assimilation for the Geosciences Book Detail

  • Author : Steven J. Fletcher
  • Release Date : 2017-03-10
  • Publisher : Elsevier
  • Genre : Science
  • Pages : 978
  • ISBN 13 : 0128044845
  • File Size : 10,10 MB
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Data Assimilation for the Geosciences by Steven J. Fletcher PDF Summary

Book Description: 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

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Data Assimilation for the Geosciences

Data Assimilation for the Geosciences

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Data Assimilation for the Geosciences: From Theory to Application brings together all of the mathematical,statistical, and probability background knowledge need

Data Assimilation for the Geosciences

Data Assimilation for the Geosciences

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Data Assimilation for the Geosciences: From Theory to Application, Second Edition brings together all of the mathematical and statistical background knowledge n