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Review of Lagrangian Stochastic Models for Trajectories in the Turbulent Atmosphere

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Boundary-Layer Meteorology 25th Anniversary Volume, 1970–1995

Abstract

We review the theoretical basis for, and the advantages of, random flight models for the trajectories of tracer particles in turbulence. We then survey their application to calculate dispersion in the principal types of atmospheric turbulence (stratified, vertically-inhomogeneous, Gaussian or non-Gaussian turbulence in the surface layer and above), and show that they are especially suitable for some problems (e.g., quantifying ground emissions).

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Authors and Affiliations

  1. Department of Earth & Atmospheric Sciences, University of Alberta, Edmonton, Alberta, T6G 2E3, Canada

    John D. Wilson

  2. Division of Atmospheric Research, CSIRO, Mordialloc, Victoria, 3195, Australia

    Brian L. Sawford

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  1. John D. Wilson
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  2. Brian L. Sawford
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Editors and Affiliations

  1. Division of Atmospheric Research, CSIRO, Melbourne, Australia

    J. R. Garratt

  2. Department of Earth and Atmospheric Science, York University, Toronto, Canada

    P. A. Taylor

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Wilson, J.D., Sawford, B.L. (1996). Review of Lagrangian Stochastic Models for Trajectories in the Turbulent Atmosphere. In: Garratt, J.R., Taylor, P.A. (eds) Boundary-Layer Meteorology 25th Anniversary Volume, 1970–1995. Springer, Dordrecht. https://doi.org/10.1007/978-94-017-0944-6_9

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  • DOI: https://doi.org/10.1007/978-94-017-0944-6_9

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