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Multivariate Chemical Data Assimilation

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Data Assimilation for the Earth System

Part of the book series: NATO Science Series ((NAIV,volume 26))

Abstract

We present an overview of the mathematical formalism of data assimilation applied to photochemical atmospheric models. Examples of Kaiman filter and variational assimilation analysis are presented along with time-dependent linearization and error covariance matrices for a typical stratospheric chemical system described in the Chapter Introduction to Atmospheric Photochemical Modelling.

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References

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Author information

Authors and Affiliations

  1. Atmospheric Chemistry Division, National Center for Atmospheric Research, Boulder, CO, USA

    Boris Khattatov

Authors
  1. Boris Khattatov
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Editor information

Editors and Affiliations

  1. Met Office, Bracknell, UK

    Richard Swinbank

  2. Institute of Numerical Mathematics, Russian Academy of Sciences, Moscow, Russia

    Victor Shutyaev

  3. Data Assimilation Research Centre, University of Reading, Reading, UK

    William Albert Lahoz

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© 2003 Springer Science+Business Media Dordrecht

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Khattatov, B. (2003). Multivariate Chemical Data Assimilation. In: Swinbank, R., Shutyaev, V., Lahoz, W.A. (eds) Data Assimilation for the Earth System. NATO Science Series, vol 26. Springer, Dordrecht. https://doi.org/10.1007/978-94-010-0029-1_24

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  • DOI: https://doi.org/10.1007/978-94-010-0029-1_24

  • Publisher Name: Springer, Dordrecht

  • Print ISBN: 978-1-4020-1593-9

  • Online ISBN: 978-94-010-0029-1

  • eBook Packages: Springer Book Archive

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