Ensemble dispersion forecasting: Part I: concept, approach and indicators

S. Galmarini (Corresponding Author), R. Bianconi, W. Klug, Mikko Ilvonen, et al.

    Research output: Contribution to journalArticleScientificpeer-review

    114 Citations (Scopus)

    Abstract

    The paper presents an approach to the treatment and analysis of long-range transport and dispersion model forecasts. Long-range is intended here as the space scale of the order of few thousands of kilometers known also as continental scale. The method is called multi-model ensemble dispersion and is based on the simultaneous analysis of several model simulations by means of ad-hoc statistical treatments and parameters. The models considered in this study are operational long-range transport and dispersion models used to support decision making in various countries in case of accidental releases of harmful volatile substances, in particular radionuclides to the atmosphere. The ensemble dispersion approach and indicators provide a way to reduce several model results to few concise representations that include an estimate of the models’ agreement in predicting a specific scenario. The parameters proposed are particularly suited for long-range transport and dispersion models although they can also be applied to short-range dispersion and weather fields.
    Original languageEnglish
    Pages (from-to)4607 - 4617
    Number of pages11
    JournalAtmospheric Environment
    Volume38
    Issue number28
    DOIs
    Publication statusPublished - 2004
    MoE publication typeA1 Journal article-refereed

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    long range transport
    volatile substance
    indicator
    radionuclide
    weather
    atmosphere
    simulation
    parameter
    analysis

    Keywords

    • Long-range transport and dispersion
    • Multi-model ensemble dispersion forecast and analysis

    Cite this

    Galmarini, S. ; Bianconi, R. ; Klug, W. ; Ilvonen, Mikko ; et al. / Ensemble dispersion forecasting : Part I: concept, approach and indicators. In: Atmospheric Environment. 2004 ; Vol. 38, No. 28. pp. 4607 - 4617.
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    Ensemble dispersion forecasting : Part I: concept, approach and indicators. / Galmarini, S. (Corresponding Author); Bianconi, R.; Klug, W.; Ilvonen, Mikko; et al.

    In: Atmospheric Environment, Vol. 38, No. 28, 2004, p. 4607 - 4617.

    Research output: Contribution to journalArticleScientificpeer-review

    TY - JOUR

    T1 - Ensemble dispersion forecasting

    T2 - Part I: concept, approach and indicators

    AU - Galmarini, S.

    AU - Bianconi, R.

    AU - Klug, W.

    AU - Ilvonen, Mikko

    AU - et al., null

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    KW - Multi-model ensemble dispersion forecast and analysis

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