Seeking for the rational basis of the Median Model: the optimal combination of multi-model ensemble results

In this paper we present an approach for the statistical analysis of multi-model ensemble results. The models considered here are operational long-range transport and dispersion models, also used for the real-time simulation of pollutant dispersion or the accidental release of radioactive nuclides....

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Main Authors: A. Riccio, G. Giunta, S. Galmarini
Format: Article
Language:English
Published: Copernicus Publications 2007-12-01
Series:Atmospheric Chemistry and Physics
Online Access:http://www.atmos-chem-phys.net/7/6085/2007/acp-7-6085-2007.pdf
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author A. Riccio
G. Giunta
S. Galmarini
author_facet A. Riccio
G. Giunta
S. Galmarini
author_sort A. Riccio
collection DOAJ
description In this paper we present an approach for the statistical analysis of multi-model ensemble results. The models considered here are operational long-range transport and dispersion models, also used for the real-time simulation of pollutant dispersion or the accidental release of radioactive nuclides. <br><br> We first introduce the theoretical basis (with its roots sinking into the Bayes theorem) and then apply this approach to the analysis of model results obtained during the ETEX-1 exercise. We recover some interesting results, supporting the heuristic approach called "median model", originally introduced in Galmarini et al. (2004a, b). <br><br> This approach also provides a way to systematically reduce (and quantify) model uncertainties, thus supporting the decision-making process and/or regulatory-purpose activities in a very effective manner.
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spelling doaj.art-9414c766617f4343a7d74eed3ba2e8792022-12-21T21:19:50ZengCopernicus PublicationsAtmospheric Chemistry and Physics1680-73161680-73242007-12-0172460856098Seeking for the rational basis of the Median Model: the optimal combination of multi-model ensemble resultsA. RiccioG. GiuntaS. GalmariniIn this paper we present an approach for the statistical analysis of multi-model ensemble results. The models considered here are operational long-range transport and dispersion models, also used for the real-time simulation of pollutant dispersion or the accidental release of radioactive nuclides. <br><br> We first introduce the theoretical basis (with its roots sinking into the Bayes theorem) and then apply this approach to the analysis of model results obtained during the ETEX-1 exercise. We recover some interesting results, supporting the heuristic approach called "median model", originally introduced in Galmarini et al. (2004a, b). <br><br> This approach also provides a way to systematically reduce (and quantify) model uncertainties, thus supporting the decision-making process and/or regulatory-purpose activities in a very effective manner.http://www.atmos-chem-phys.net/7/6085/2007/acp-7-6085-2007.pdf
spellingShingle A. Riccio
G. Giunta
S. Galmarini
Seeking for the rational basis of the Median Model: the optimal combination of multi-model ensemble results
Atmospheric Chemistry and Physics
title Seeking for the rational basis of the Median Model: the optimal combination of multi-model ensemble results
title_full Seeking for the rational basis of the Median Model: the optimal combination of multi-model ensemble results
title_fullStr Seeking for the rational basis of the Median Model: the optimal combination of multi-model ensemble results
title_full_unstemmed Seeking for the rational basis of the Median Model: the optimal combination of multi-model ensemble results
title_short Seeking for the rational basis of the Median Model: the optimal combination of multi-model ensemble results
title_sort seeking for the rational basis of the median model the optimal combination of multi model ensemble results
url http://www.atmos-chem-phys.net/7/6085/2007/acp-7-6085-2007.pdf
work_keys_str_mv AT ariccio seekingfortherationalbasisofthemedianmodeltheoptimalcombinationofmultimodelensembleresults
AT ggiunta seekingfortherationalbasisofthemedianmodeltheoptimalcombinationofmultimodelensembleresults
AT sgalmarini seekingfortherationalbasisofthemedianmodeltheoptimalcombinationofmultimodelensembleresults