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  • 1. Galmarini, S
    et al.
    Bianconi, R
    Klug, W
    Mikkelsen, T
    Addis, R
    Androllopoulos, S
    Astrup, P
    Baklanov, A
    Bartniki, J
    Bartzis, J C
    Bellasio, R
    Bompay, F
    Buckley, R
    Bouzom, M
    Champion, H
    D'Amours, R
    Davakis, E
    Eleveld, H
    Geertsema, G T
    Glaab, H
    Kolax, Michael
    SMHI, Research Department, Climate research - Rossby Centre.
    Ilvonen, M
    Manning, A
    Pechinger, U
    Persson, C
    Polreich, E
    Potemski, S
    Prodanova, M
    Saltbones, J
    Slaper, H
    Sofiev, M A
    Syrakov, D
    Sorensen, J H
    Van der Auwera, L
    Valkama, I
    Zelazny, R
    Can the confidence in long range atmospheric transport models be increased?: The Pan-European experience of ENSEMBLE2004In: Radiation Protection Dosimetry, ISSN 0144-8420, E-ISSN 1742-3406, Vol. 109, no 1-2, p. 19-24Article in journal (Refereed)
    Abstract [en]

    Is atmospheric dispersion forecasting an important asset of the early-phase nuclear emergency response management? Is there a 'perfect atmospheric dispersion model'? Is there a way to make the results of dispersion models more reliable and trustworthy? While seeking to answer these questions the multi-model ensemble dispersion forecast system ENSEMBLE will be presented.

  • 2. Galmarini, S
    et al.
    Bianconi, R
    Klug, W
    Mikkelsen, T
    Addis, R
    Andronopoulos, S
    Astrup, P
    Baklanov, A
    Bartniki, J
    Bartzis, J C
    Bellasio, R
    Bompay, F
    Buckley, R
    Bouzom, M
    Champion, H
    D'Amours, R
    Davakis, E
    Eleveld, H
    Geertsema, G T
    Glaab, H
    Kolax, Michael
    SMHI, Research Department, Climate research - Rossby Centre.
    Ilvonen, M
    Manning, A
    Pechinger, U
    Persson, Christer
    SMHI, Research Department, Air quality.
    Polreich, E
    Potemski, S
    Prodanova, M
    Saltbones, J
    Slaper, H
    Sofiev, M A
    Syrakov, D
    Sorensen, J H
    Van der Auwera, L
    Valkama, I
    Zelazny, R
    Ensemble dispersion forecasting - Part I: concept, approach and indicators2004In: Atmospheric Environment, ISSN 1352-2310, E-ISSN 1873-2844, Vol. 38, no 28, p. 4607-4617Article in journal (Refereed)
    Abstract [en]

    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. (C) 2004 Elsevier Ltd. All rights reserved.

  • 3. Rana, Arun
    et al.
    Nikulin, Grigory
    SMHI, Research Department, Climate research - Rossby Centre.
    Kjellström, Erik
    SMHI, Research Department, Climate research - Rossby Centre.
    Strandberg, Gustav
    SMHI, Research Department, Climate research - Rossby Centre.
    Kupiainen, Marco
    SMHI, Research Department, Climate research - Rossby Centre.
    Hansson, Ulf
    SMHI, Research Department, Climate research - Rossby Centre.
    Kolax, Michael
    SMHI, Research Department, Climate research - Rossby Centre.
    Contrasting regional and global climate simulations over South Asia2020In: Climate Dynamics, ISSN 0930-7575, E-ISSN 1432-0894Article in journal (Refereed)
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