"Can the confidence in long range Atmospheric transport models be increased? The pan-European experience of Ensemble"
dc.contributor.author | Galmarini, S. | |
dc.contributor.author | Bianconi, R. | |
dc.contributor.author | Klug, W. | |
dc.contributor.author | Mikkelsen, T. | |
dc.contributor.author | Addis, R. | |
dc.contributor.author | Andronopoulos, S. | |
dc.contributor.author | Astrup, P. | |
dc.contributor.author | Baklanov, A. | |
dc.contributor.author | Bartnicki, J. | |
dc.contributor.author | Bartzis, J.C. | |
dc.contributor.author | Bellasio, R. | |
dc.contributor.author | Bompay, F. | |
dc.contributor.author | Buckley, R. | |
dc.contributor.author | Bouzom, M. | |
dc.contributor.author | Champion, H. | |
dc.contributor.author | Amours, R.D. | |
dc.contributor.author | Davakis, E. | |
dc.contributor.author | Eleveld, H. | |
dc.contributor.author | Geertsema, G.T. | |
dc.contributor.author | Glaab, H. | |
dc.contributor.author | Kollax, M. | |
dc.contributor.author | Ilvonen, M. | |
dc.contributor.author | Manning, A. | |
dc.contributor.author | Pechinger, U. | |
dc.contributor.author | Persson, C. | |
dc.contributor.author | Polreich, E. | |
dc.contributor.author | Potemski, S. | |
dc.contributor.author | Prodanova, M. | |
dc.contributor.author | Saltbones, J. | |
dc.contributor.author | Slaper, H. | |
dc.contributor.author | Sofiev, M.A. | |
dc.contributor.author | Syrakov, D. | |
dc.contributor.author | Sorensen, J.H. | |
dc.contributor.author | Van der Auwera, L. | |
dc.contributor.author | Valkama, I. | |
dc.contributor.author | Zelazny, R. | |
dc.coverage.temporal | 21st century | |
dc.date | 2004 | |
dc.date.accessioned | 2016-03-07T16:16:50Z | |
dc.date.accessioned | 2021-12-09T09:53:33Z | |
dc.date.available | 2016-03-07T16:16:50Z | |
dc.date.available | 2021-12-09T09:53:33Z | |
dc.identifier.uri | https://orfeo.belnet.be/handle/internal/8686 | |
dc.description | 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. | |
dc.language | eng | |
dc.publisher | IRM | |
dc.publisher | KMI | |
dc.publisher | RMI | |
dc.relation.ispartofseries | Radiation Protection Dosimetry (2004) Vol 109,Nos 1-2 | |
dc.title | "Can the confidence in long range Atmospheric transport models be increased? The pan-European experience of Ensemble" | |
dc.type | Article | |
dc.subject.frascati | Earth and related Environmental sciences | |
dc.audience | General Public | |
dc.audience | Scientific | |
dc.subject.free | Multi-model ensemble | |
dc.subject.free | Percentile models | |
dc.source.issue | Radiation Protection Dosimetry (2004) Vol 109,Nos 1-2 | |
dc.source.page | pp. 19-24 | |
Orfeo.peerreviewed | Not pertinent |
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