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8 - Data assimilation methods

Published online by Cambridge University Press:  05 June 2012

Alik Ismail-Zadeh
Affiliation:
Russian Academy of Sciences, Moscow
Paul Tackley
Affiliation:
Eidgenössische Technische Hochschule Zürich
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Summary

Introduction

Many geodynamic problems can be described by mathematical models, i.e. by a set of partial differential equations and boundary and/or initial conditions defined in a specific domain. A mathematical model links the causal characteristics of a geodynamic process with its effects. The causal characteristics of the process include, for example, parameters of the initial and boundary conditions, coefficients of the differential equations, and geometrical parameters of a model domain. The aim of the directmathematical problem is to determine the relationship between the causes and effects of the geodynamic process and hence to find a solution to the mathematical problem for a given set of parameters and coefficients. An inverseproblem is the opposite of a direct problem. An inverse problem is considered when there is a lack of information on the causal characteristics (but information on the effects of the geodynamic process exists). Inverse problems can be subdivided into time-reverse or retrospective problems (e.g. to restore the development of a geodynamic process), coefficient problems (e.g. to determine the coefficients of the model equations and/or boundary conditions), geometrical problems (e.g. to determine the location of heat sources in a model domain or the geometry of the model boundary), and some others. In this chapter we will consider time-reverse (retrospective) problems in geodynamics.

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Publisher: Cambridge University Press
Print publication year: 2010

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  • Data assimilation methods
  • Alik Ismail-Zadeh, Russian Academy of Sciences, Moscow, Paul Tackley, Eidgenössische Technische Hochschule Zürich
  • Book: Computational Methods for Geodynamics
  • Online publication: 05 June 2012
  • Chapter DOI: https://doi.org/10.1017/CBO9780511780820.010
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  • Data assimilation methods
  • Alik Ismail-Zadeh, Russian Academy of Sciences, Moscow, Paul Tackley, Eidgenössische Technische Hochschule Zürich
  • Book: Computational Methods for Geodynamics
  • Online publication: 05 June 2012
  • Chapter DOI: https://doi.org/10.1017/CBO9780511780820.010
Available formats
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Save book to Google Drive

To save content items to your account, please confirm that you agree to abide by our usage policies. If this is the first time you use this feature, you will be asked to authorise Cambridge Core to connect with your account. Find out more about saving content to Google Drive.

  • Data assimilation methods
  • Alik Ismail-Zadeh, Russian Academy of Sciences, Moscow, Paul Tackley, Eidgenössische Technische Hochschule Zürich
  • Book: Computational Methods for Geodynamics
  • Online publication: 05 June 2012
  • Chapter DOI: https://doi.org/10.1017/CBO9780511780820.010
Available formats
×