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Kolax, Michael
Publications (3 of 3) Show all publications
Rana, A., Nikulin, G., Kjellström, E., Strandberg, G., Kupiainen, M., Hansson, U. & Kolax, M. (2020). Contrasting regional and global climate simulations over South Asia. Climate Dynamics
Open this publication in new window or tab >>Contrasting regional and global climate simulations over South Asia
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2020 (English)In: Climate Dynamics, ISSN 0930-7575, E-ISSN 1432-0894Article in journal (Refereed) Published
National Category
Climate Research
Research subject
Climate
Identifiers
urn:nbn:se:smhi:diva-5648 (URN)10.1007/s00382-020-05146-0 (DOI)000515712800001 ()
Available from: 2020-03-17 Created: 2020-03-17 Last updated: 2020-03-17Bibliographically approved
Galmarini, S., Bianconi, R., Klug, W., Mikkelsen, T., Addis, R., Androllopoulos, S., . . . Zelazny, R. (2004). Can the confidence in long range atmospheric transport models be increased?: The Pan-European experience of ENSEMBLE. Paper presented at International Symposium on Off-Site Nuclear Emergency Management, SEP 29-OCT 03, 2003, Salzburg, AUSTRIA. Radiation Protection Dosimetry, 109(1-2), 19-24
Open this publication in new window or tab >>Can the confidence in long range atmospheric transport models be increased?: The Pan-European experience of ENSEMBLE
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2004 (English)In: Radiation Protection Dosimetry, ISSN 0144-8420, E-ISSN 1742-3406, Vol. 109, no 1-2, p. 19-24Article in journal (Refereed) Published
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.

National Category
Climate Research
Research subject
Climate
Identifiers
urn:nbn:se:smhi:diva-1333 (URN)10.1093/rpd/nch261 (DOI)000222947500004 ()15238650 (PubMedID)
Conference
International Symposium on Off-Site Nuclear Emergency Management, SEP 29-OCT 03, 2003, Salzburg, AUSTRIA
Available from: 2015-05-26 Created: 2015-05-26 Last updated: 2017-12-04Bibliographically approved
Galmarini, S., Bianconi, R., Klug, W., Mikkelsen, T., Addis, R., Andronopoulos, S., . . . Zelazny, R. (2004). Ensemble dispersion forecasting - Part I: concept, approach and indicators. Atmospheric Environment, 38(28), 4607-4617
Open this publication in new window or tab >>Ensemble dispersion forecasting - Part I: concept, approach and indicators
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2004 (English)In: Atmospheric Environment, ISSN 1352-2310, E-ISSN 1873-2844, Vol. 38, no 28, p. 4607-4617Article in journal (Refereed) Published
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.

Keywords
long-range transport and dispersion, multi-model ensemble dispersion forecast and analysis
National Category
Climate Research
Research subject
Climate
Identifiers
urn:nbn:se:smhi:diva-1302 (URN)10.1016/j.atmosenv.2004.05.030 (DOI)000223432500001 ()
Available from: 2015-06-09 Created: 2015-05-26 Last updated: 2020-05-04Bibliographically approved
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