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Data — Assimilation and HPCN-Examples of The LOTOS-Model

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Large Scale Computations in Air Pollution Modelling

Part of the book series: NATO Science Series ((ASEN2,volume 57))

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Abstract

Photo-oxidants in the troposphere over Europe, with as main trace gas ozone, have been studied extensively over the last three decades. The key scientific question is the understanding of the processes which govern the photo-oxidant formation. The determination of these processes is also of policy relevance; ozone levels over Europe exceed regularly limit values. This fact requires the determination of abatement strategies to reduce ozone concentration. Such an abatement can only be effective, and cost-effective, in case the reasons for these high ozone levels are known, also in a quantitative way.

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References

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Author information

Authors and Affiliations

  1. TNO Institute of Environmental Sciences, Energy Research and Process Innovation, P.O. Box 342, Apeldoorn, AH, 7300, Netherlands

    P. J. H. Builtjes

Authors
  1. P. J. H. Builtjes
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Editor information

Editors and Affiliations

  1. National Environmental Research Institute, Roskilde, Denmark

    Z. Zlatev  & J. Brandt  & 

  2. TNO Institute for Environmental Sciences, Apeldoorn, The Netherlands

    P. J. H. Builtjes

  3. University of Iowa, Iowa City, Iowa, USA

    G. Carmichael

  4. Bulgarian Academy of Sciences, Sofia, Bulgaria

    I. Dimov

  5. University of Tennessee, Knoxville, Tennessee, USA

    J. Dongarra

  6. Utrecht University, Utrecht, The Netherlands

    H. van Dop

  7. Bulgarian Academy of Sciences, Sofia, Bulgaria

    K. Georgiev

  8. Ford Forschungzentrum, Aachen, Germany

    H. Hass

  9. Technical University of Madrid, Madrid, Spain

    R. San Jose

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© 1999 Springer Science+Business Media Dordrecht

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Builtjes, P.J.H. (1999). Data — Assimilation and HPCN-Examples of The LOTOS-Model. In: Zlatev, Z., et al. Large Scale Computations in Air Pollution Modelling. NATO Science Series, vol 57. Springer, Dordrecht. https://doi.org/10.1007/978-94-011-4570-1_9

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  • DOI: https://doi.org/10.1007/978-94-011-4570-1_9

  • Publisher Name: Springer, Dordrecht

  • Print ISBN: 978-0-7923-5678-3

  • Online ISBN: 978-94-011-4570-1

  • eBook Packages: Springer Book Archive

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