Data Assimilation: Methods, Algorithms, and Applications

Released on by Mark Asch
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  • Data Assimilation: Methods, Algorithms, and Applications Book Detail

  • Author : Mark Asch
  • Release Date : 2016-12-29
  • Publisher : SIAM
  • Genre : Mathematics
  • Pages : 310
  • ISBN 13 : 1611974542
  • File Size : 81,81 MB
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Data Assimilation: Methods, Algorithms, and Applications by Mark Asch PDF Summary

Book Description: Data assimilation is an approach that combines observations and model output, with the objective of improving the latter. This book places data assimilation into the broader context of inverse problems and the theory, methods, and algorithms that are used for their solution. It provides a framework for, and insight into, the inverse problem nature of data assimilation, emphasizing why and not just how. Methods and diagnostics are emphasized, enabling readers to readily apply them to their own field of study. Readers will find a comprehensive guide that is accessible to nonexperts; numerous examples and diverse applications from a broad range of domains, including geophysics and geophysical flows, environmental acoustics, medical imaging, mechanical and biomedical engineering, economics and finance, and traffic control and urban planning; and the latest methods for advanced data assimilation, combining variational and statistical approaches.

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Data Assimilation

Data Assimilation

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This book provides a systematic treatment of the mathematical underpinnings of work in data assimilation, covering both theoretical and computational approaches

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