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dc.contributor.authorGalmarini, S.
dc.contributor.authorBianconi, R.
dc.contributor.authorKlug, W.
dc.contributor.authorMikkelsen, T.
dc.contributor.authorAddis, R.
dc.contributor.authorAndronopoulos, S.
dc.contributor.authorAstrup, P.
dc.contributor.authorBaklanov, A.
dc.contributor.authorBartnicki, J.
dc.contributor.authorBartzis, J.C.
dc.contributor.authorBellasio, R.
dc.contributor.authorBompay, F.
dc.contributor.authorBuckley, R.
dc.contributor.authorBouzom, M.
dc.contributor.authorChampion, H.
dc.contributor.authorAmours, R.D.
dc.contributor.authorDavakis, E.
dc.contributor.authorEleveld, H.
dc.contributor.authorGeertsema, G.T.
dc.contributor.authorGlaab, H.
dc.contributor.authorKollax, M.
dc.contributor.authorIlvonen, M.
dc.contributor.authorManning, A.
dc.contributor.authorPechinger, U.
dc.contributor.authorPersson, C.
dc.contributor.authorPolreich, E.
dc.contributor.authorPotemski, S.
dc.contributor.authorProdanova, M.
dc.contributor.authorSaltbones, J.
dc.contributor.authorSlaper, H.
dc.contributor.authorSofiev, M.A.
dc.contributor.authorSyrakov, D.
dc.contributor.authorSorensen, J.H.
dc.contributor.authorVan der Auwera, L.
dc.contributor.authorValkama, I.
dc.contributor.authorZelazny, R.
dc.coverage.temporal21st century
dc.date2004
dc.date.accessioned2016-03-07T16:16:50Z
dc.date.accessioned2021-12-09T09:53:33Z
dc.date.available2016-03-07T16:16:50Z
dc.date.available2021-12-09T09:53:33Z
dc.identifier.urihttps://orfeo.belnet.be/handle/internal/8686
dc.descriptionIs 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.languageeng
dc.publisherIRM
dc.publisherKMI
dc.publisherRMI
dc.relation.ispartofseriesRadiation 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.typeArticle
dc.subject.frascatiEarth and related Environmental sciences
dc.audienceGeneral Public
dc.audienceScientific
dc.subject.freeMulti-model ensemble
dc.subject.freePercentile models
dc.source.issueRadiation Protection Dosimetry (2004) Vol 109,Nos 1-2
dc.source.pagepp. 19-24
Orfeo.peerreviewedNot pertinent


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