AustralieFrV1, PascalFrancis, Corpus, bibRecord, 003A95

Global backtracking of anthropogenic radionuclides by means of a receptor oriented ensemble dispersion modelling system in support of Nuclear-Test-Ban Treaty verification

Identifieur interne : 003A95 ( PascalFrancis/Corpus ); précédent : 003A94; suivant : 003A96

Global backtracking of anthropogenic radionuclides by means of a receptor oriented ensemble dispersion modelling system in support of Nuclear-Test-Ban Treaty verification

Auteurs : Andreas Becker ; Gerhard Wotawa ; Lars-Erik De Geer ; Petra Seibert ; Roland R. Draxler ; Craig Sloan ; Real D'Amours ; Matthew Hort ; Hubert Glaab ; Philippe Heinrich ; Yves Grillon ; Vyacheslav Shershakov ; Keiichi Katayama ; YUETANG ZHANG ; Paul Stewart ; Marcus Hirtl ; Michel Jean ; Peter Chen

Source :

Atmospheric environment : (1994) [ 1352-2310 ] ; 2007.

RBID : Pascal:07-0359784

Descripteurs français

Pascal (Inist)
- Pollution air, Pollution radioactive, Radioisotope, Source pollution, Source ponctuelle, Localisation source, Trajectoire, Modélisation, Etude comparative, Simulation numérique, Modèle Lagrange, Dispersion atmosphérique, Evaluation performance logiciel, Performance algorithme, Système urgence, Simulation ensemble.

English descriptors

KwdEn :
- Air pollution, Algorithm performance, Atmospheric dispersion, Comparative study, Emergency system, Ensemble simulation, Lagrangian model, Modeling, Numerical simulation, Point source, Pollution source, Radioactive pollution, Radioisotope, Software performance evaluation, Source localization, Trajectory.

Abstract

In this paper, we introduce a methodology for quality assessment of backtracking models. We present results illustrating the level of agreement between the backtracking models, and the accuracy of each model and the ensemble model in resolving the geo-temporal reference of a single point source. Both assessments are based on an ensemble of 12 different Lagrangian particle dispersion modelling (LPDM) systems utilized in receptor oriented (adjoint) mode during an international numerical experiment dedicated to source region estimation. As major result, we can confirm that the findings of Galmarini et al. [2004b. Ensemble prediction forecasting-Part II: application and evaluation. Atmospheric Environment 38, 4619-4632] and Delle Monache and Stull [2003. An ensemble air-quality forecast over Europe during an ozone episode. Atmospheric Environment 37, 3469-3474], regarding the superiority of the ensemble dispersion forecast over a single forecast, do also apply to LPDM when utilized for backtracking purposes, in particular if only vague a priori knowledge of the source time is available. This, however, is a likely situation in the context of the global nuclear monitoring performed by the Provisional Technical Secretariat (PTS) of the Comprehensive Nuclear-Test-Ban Treaty Organization (CTBTO), where quick but reliable source location identification is required. We introduce a simple methodology as a template for a future electronic emergency response system in the field of dispersion modelling.

Notice en format standard (ISO 2709)

Pour connaître la documentation sur le format Inist Standard.

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A14	`07`			`@1 Deutscher Wetterdienst, Frankfurter Strasse 135 @2 63067 Offenbach/Main @3 DEU @Z 9 aut.`
A14	`08`			`@1 Commissariat à l'énergie atomique (CEA) B.P. 12 @2 91680 Bruyères-le-Châtel @3 FRA @Z 10 aut.`
A14	`09`			`@1 Federal Emergency Response Centre (FEERC/Roshydromet), Scientific Production Association (SPA) "Typhoon", 82 Lenin Prospekt @2 249038 Obinsk, Kaluga Région @3 RUS @Z 11 aut.`
A14	`10`			`@1 Japan Meteorological Agency, 1-3-4 Otemachi @2 Chiyoda-ku, Tokyo 100-8122 @3 JPN @Z 12 aut.`
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A14	`12`			`@1 National Meteorological and Oceanographic Centre, Bureau of Meteorology, 700 Collins Street @2 Melbourne, Victoria 3000 @3 AUS @Z 14 aut.`
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C01	`01`		`ENG`	@0 In this paper, we introduce a methodology for quality assessment of backtracking models. We present results illustrating the level of agreement between the backtracking models, and the accuracy of each model and the ensemble model in resolving the geo-temporal reference of a single point source. Both assessments are based on an ensemble of 12 different Lagrangian particle dispersion modelling (LPDM) systems utilized in receptor oriented (adjoint) mode during an international numerical experiment dedicated to source region estimation. As major result, we can confirm that the findings of Galmarini et al. [2004b. Ensemble prediction forecasting-Part II: application and evaluation. Atmospheric Environment 38, 4619-4632] and Delle Monache and Stull [2003. An ensemble air-quality forecast over Europe during an ozone episode. Atmospheric Environment 37, 3469-3474], regarding the superiority of the ensemble dispersion forecast over a single forecast, do also apply to LPDM when utilized for backtracking purposes, in particular if only vague a priori knowledge of the source time is available. This, however, is a likely situation in the context of the global nuclear monitoring performed by the Provisional Technical Secretariat (PTS) of the Comprehensive Nuclear-Test-Ban Treaty Organization (CTBTO), where quick but reliable source location identification is required. We introduce a simple methodology as a template for a future electronic emergency response system in the field of dispersion modelling.
C02	`01`	`X`		`@0 001D16C03`
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Format Inist (serveur)

NO :	PASCAL 07-0359784 INIST
ET :	Global backtracking of anthropogenic radionuclides by means of a receptor oriented ensemble dispersion modelling system in support of Nuclear-Test-Ban Treaty verification
AU :	BECKER (Andreas); WOTAWA (Gerhard); DE GEER (Lars-Erik); SEIBERT (Petra); DRAXLER (Roland R.); SLOAN (Craig); D'AMOURS (Real); HORT (Matthew); GLAAB (Hubert); HEINRICH (Philippe); GRILLON (Yves); SHERSHAKOV (Vyacheslav); KATAYAMA (Keiichi); YUETANG ZHANG; STEWART (Paul); HIRTL (Marcus); JEAN (Michel); CHEN (Peter)
AF :	Preparatory Commission for the Comprehensive Nuclear-Test-Ban Treaty Organization, Provisional Technical Secrétariat, Vienna International Data Centre, P.O. Box 1200/1400 Vienna/Autriche (1 aut., 2 aut., 3 aut.); Institute of Meteorology, University of Natural Resources and Applied Life Science, Peter-Jordan-Street 82/1190 Vienna/Autriche (4 aut.); National Oceanic and Atmospheric Administration (NOAA) 1325 East West Highway/Silver Spring, MD 20910-3283/Etats-Unis (5 aut.); US National Data Centre, HQ Air Force Technical Applications Centre (AFTAC)/TMAR Patrick AFB/FL 32925-3002/Etats-Unis (6 aut.); Canadian Meteorological Centre, Environmental Emergency Response Division, 2121 Trans-Canada Highway/Dorval, Que., H9P IJ3/Canada (7 aut., 17 aut.); Met Office, FitzRoy Road/Exeter, Devon EX1 3PB/Royaume-Uni (8 aut.); Deutscher Wetterdienst, Frankfurter Strasse 135/63067 Offenbach/Main/Allemagne (9 aut.); Commissariat à l'énergie atomique (CEA) B.P. 12/91680 Bruyères-le-Châtel/France (10 aut.); Federal Emergency Response Centre (FEERC/Roshydromet), Scientific Production Association (SPA) "Typhoon", 82 Lenin Prospekt/249038 Obinsk, Kaluga Région/Russie (11 aut.); Japan Meteorological Agency, 1-3-4 Otemachi/Chiyoda-ku, Tokyo 100-8122/Japon (12 aut.); National Meteorological Centre, China Meteorological Administration, 46 Zhongguancun Nandajie/Haidian District, Beijing 100081/Chine (13 aut.); National Meteorological and Oceanographic Centre, Bureau of Meteorology, 700 Collins Street/Melbourne, Victoria 3000/Australie (14 aut.); Zentrafanstalt für Météorologie und Geodynamik (ZAMG), Hohe Warte 38/1190 Vienna/Autriche (16 aut.); World Meteorological Organization, 7bis, rue de la Paix, PO Box 2300/1211 Geneva/Suisse (18 aut.)
DT :	Publication en série; Niveau analytique
SO :	Atmospheric environment : (1994); ISSN 1352-2310; Royaume-Uni; Da. 2007; Vol. 41; No. 21; Pp. 4520-4534; Bibl. 1 p.3/4
LA :	Anglais
EA :	In this paper, we introduce a methodology for quality assessment of backtracking models. We present results illustrating the level of agreement between the backtracking models, and the accuracy of each model and the ensemble model in resolving the geo-temporal reference of a single point source. Both assessments are based on an ensemble of 12 different Lagrangian particle dispersion modelling (LPDM) systems utilized in receptor oriented (adjoint) mode during an international numerical experiment dedicated to source region estimation. As major result, we can confirm that the findings of Galmarini et al. [2004b. Ensemble prediction forecasting-Part II: application and evaluation. Atmospheric Environment 38, 4619-4632] and Delle Monache and Stull [2003. An ensemble air-quality forecast over Europe during an ozone episode. Atmospheric Environment 37, 3469-3474], regarding the superiority of the ensemble dispersion forecast over a single forecast, do also apply to LPDM when utilized for backtracking purposes, in particular if only vague a priori knowledge of the source time is available. This, however, is a likely situation in the context of the global nuclear monitoring performed by the Provisional Technical Secretariat (PTS) of the Comprehensive Nuclear-Test-Ban Treaty Organization (CTBTO), where quick but reliable source location identification is required. We introduce a simple methodology as a template for a future electronic emergency response system in the field of dispersion modelling.
CC :	001D16C03
FD :	Pollution air; Pollution radioactive; Radioisotope; Source pollution; Source ponctuelle; Localisation source; Trajectoire; Modélisation; Etude comparative; Simulation numérique; Modèle Lagrange; Dispersion atmosphérique; Evaluation performance logiciel; Performance algorithme; Système urgence; Simulation ensemble
ED :	Air pollution; Radioactive pollution; Radioisotope; Pollution source; Point source; Source localization; Trajectory; Modeling; Comparative study; Numerical simulation; Lagrangian model; Atmospheric dispersion; Software performance evaluation; Algorithm performance; Emergency system; Ensemble simulation
SD :	Contaminación aire; Polución radioactiva; Radionúclido; Fuente polución; Fuente puntual; Localización fuente; Trayectoria; Modelización; Estudio comparativo; Simulación numérica; Modelo Lagrange; Dispersión atmosférica; Resultado algoritmo; Sistema urgencia
LO :	INIST-8940B.354000149876150140
ID :	07-0359784

Links to Exploration step

Pascal:07-0359784

Le document en format XML

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<author><name sortKey="Glaab, Hubert" sort="Glaab, Hubert" uniqKey="Glaab H" first="Hubert" last="Glaab">Hubert Glaab</name>
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<author><name sortKey="Heinrich, Philippe" sort="Heinrich, Philippe" uniqKey="Heinrich P" first="Philippe" last="Heinrich">Philippe Heinrich</name>
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<author><name sortKey="Grillon, Yves" sort="Grillon, Yves" uniqKey="Grillon Y" first="Yves" last="Grillon">Yves Grillon</name>
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<author><name sortKey="Shershakov, Vyacheslav" sort="Shershakov, Vyacheslav" uniqKey="Shershakov V" first="Vyacheslav" last="Shershakov">Vyacheslav Shershakov</name>
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<author><name sortKey="Katayama, Keiichi" sort="Katayama, Keiichi" uniqKey="Katayama K" first="Keiichi" last="Katayama">Keiichi Katayama</name>
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<author><name sortKey="Yuetang Zhang" sort="Yuetang Zhang" uniqKey="Yuetang Zhang" last="Yuetang Zhang">YUETANG ZHANG</name>
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<author><name sortKey="Jean, Michel" sort="Jean, Michel" uniqKey="Jean M" first="Michel" last="Jean">Michel Jean</name>
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<author><name sortKey="Chen, Peter" sort="Chen, Peter" uniqKey="Chen P" first="Peter" last="Chen">Peter Chen</name>
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<s2>1400 Vienna</s2>
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<affiliation><inist:fA14 i1="01"><s1>Preparatory Commission for the Comprehensive Nuclear-Test-Ban Treaty Organization, Provisional Technical Secrétariat, Vienna International Data Centre, P.O. Box 1200</s1>
<s2>1400 Vienna</s2>
<s3>AUT</s3>
<sZ>1 aut.</sZ>
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<affiliation><inist:fA14 i1="01"><s1>Preparatory Commission for the Comprehensive Nuclear-Test-Ban Treaty Organization, Provisional Technical Secrétariat, Vienna International Data Centre, P.O. Box 1200</s1>
<s2>1400 Vienna</s2>
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<sZ>5 aut.</sZ>
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<affiliation><inist:fA14 i1="05"><s1>Canadian Meteorological Centre, Environmental Emergency Response Division, 2121 Trans-Canada Highway</s1>
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<author><name sortKey="Hort, Matthew" sort="Hort, Matthew" uniqKey="Hort M" first="Matthew" last="Hort">Matthew Hort</name>
<affiliation><inist:fA14 i1="06"><s1>Met Office, FitzRoy Road</s1>
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<affiliation><inist:fA14 i1="09"><s1>Federal Emergency Response Centre (FEERC/Roshydromet), Scientific Production Association (SPA) "Typhoon", 82 Lenin Prospekt</s1>
<s2>249038 Obinsk, Kaluga Région</s2>
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<affiliation><inist:fA14 i1="10"><s1>Japan Meteorological Agency, 1-3-4 Otemachi</s1>
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<sZ>12 aut.</sZ>
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<sZ>13 aut.</sZ>
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<affiliation><inist:fA14 i1="12"><s1>National Meteorological and Oceanographic Centre, Bureau of Meteorology, 700 Collins Street</s1>
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<s3>AUS</s3>
<sZ>14 aut.</sZ>
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<affiliation><inist:fA14 i1="13"><s1>Zentrafanstalt für Météorologie und Geodynamik (ZAMG), Hohe Warte 38</s1>
<s2>1190 Vienna</s2>
<s3>AUT</s3>
<sZ>16 aut.</sZ>
</inist:fA14>
</affiliation>
</author>
<author><name sortKey="Jean, Michel" sort="Jean, Michel" uniqKey="Jean M" first="Michel" last="Jean">Michel Jean</name>
<affiliation><inist:fA14 i1="05"><s1>Canadian Meteorological Centre, Environmental Emergency Response Division, 2121 Trans-Canada Highway</s1>
<s2>Dorval, Que., H9P IJ3</s2>
<s3>CAN</s3>
<sZ>7 aut.</sZ>
<sZ>17 aut.</sZ>
</inist:fA14>
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</author>
<author><name sortKey="Chen, Peter" sort="Chen, Peter" uniqKey="Chen P" first="Peter" last="Chen">Peter Chen</name>
<affiliation><inist:fA14 i1="14"><s1>World Meteorological Organization, 7bis, rue de la Paix, PO Box 2300</s1>
<s2>1211 Geneva</s2>
<s3>CHE</s3>
<sZ>18 aut.</sZ>
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<title level="j" type="abbreviated">Atmos. environ. : (1994)</title>
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<term>Algorithm performance</term>
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<term>Comparative study</term>
<term>Emergency system</term>
<term>Ensemble simulation</term>
<term>Lagrangian model</term>
<term>Modeling</term>
<term>Numerical simulation</term>
<term>Point source</term>
<term>Pollution source</term>
<term>Radioactive pollution</term>
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<term>Radioisotope</term>
<term>Source pollution</term>
<term>Source ponctuelle</term>
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<term>Trajectoire</term>
<term>Modélisation</term>
<term>Etude comparative</term>
<term>Simulation numérique</term>
<term>Modèle Lagrange</term>
<term>Dispersion atmosphérique</term>
<term>Evaluation performance logiciel</term>
<term>Performance algorithme</term>
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<front><div type="abstract" xml:lang="en">In this paper, we introduce a methodology for quality assessment of backtracking models. We present results illustrating the level of agreement between the backtracking models, and the accuracy of each model and the ensemble model in resolving the geo-temporal reference of a single point source. Both assessments are based on an ensemble of 12 different Lagrangian particle dispersion modelling (LPDM) systems utilized in receptor oriented (adjoint) mode during an international numerical experiment dedicated to source region estimation. As major result, we can confirm that the findings of Galmarini et al. [2004b. Ensemble prediction forecasting-Part II: application and evaluation. Atmospheric Environment 38, 4619-4632] and Delle Monache and Stull [2003. An ensemble air-quality forecast over Europe during an ozone episode. Atmospheric Environment 37, 3469-3474], regarding the superiority of the ensemble dispersion forecast over a single forecast, do also apply to LPDM when utilized for backtracking purposes, in particular if only vague a priori knowledge of the source time is available. This, however, is a likely situation in the context of the global nuclear monitoring performed by the Provisional Technical Secretariat (PTS) of the Comprehensive Nuclear-Test-Ban Treaty Organization (CTBTO), where quick but reliable source location identification is required. We introduce a simple methodology as a template for a future electronic emergency response system in the field of dispersion modelling.</div>
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<fA08 i1="01" i2="1" l="ENG"><s1>Global backtracking of anthropogenic radionuclides by means of a receptor oriented ensemble dispersion modelling system in support of Nuclear-Test-Ban Treaty verification</s1>
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<fA11 i1="01" i2="1"><s1>BECKER (Andreas)</s1>
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<fA11 i1="18" i2="1"><s1>CHEN (Peter)</s1>
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<fA14 i1="01"><s1>Preparatory Commission for the Comprehensive Nuclear-Test-Ban Treaty Organization, Provisional Technical Secrétariat, Vienna International Data Centre, P.O. Box 1200</s1>
<s2>1400 Vienna</s2>
<s3>AUT</s3>
<sZ>1 aut.</sZ>
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<fA14 i1="02"><s1>Institute of Meteorology, University of Natural Resources and Applied Life Science, Peter-Jordan-Street 82</s1>
<s2>1190 Vienna</s2>
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<fA14 i1="03"><s1>National Oceanic and Atmospheric Administration (NOAA) 1325 East West Highway</s1>
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<sZ>5 aut.</sZ>
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<fA14 i1="04"><s1>US National Data Centre, HQ Air Force Technical Applications Centre (AFTAC)/TMAR Patrick AFB</s1>
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<sZ>6 aut.</sZ>
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<fA14 i1="05"><s1>Canadian Meteorological Centre, Environmental Emergency Response Division, 2121 Trans-Canada Highway</s1>
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<fA14 i1="08"><s1>Commissariat à l'énergie atomique (CEA) B.P. 12</s1>
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<sZ>10 aut.</sZ>
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<fA14 i1="09"><s1>Federal Emergency Response Centre (FEERC/Roshydromet), Scientific Production Association (SPA) "Typhoon", 82 Lenin Prospekt</s1>
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<fA14 i1="10"><s1>Japan Meteorological Agency, 1-3-4 Otemachi</s1>
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<fA14 i1="11"><s1>National Meteorological Centre, China Meteorological Administration, 46 Zhongguancun Nandajie</s1>
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<sZ>13 aut.</sZ>
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<fA14 i1="12"><s1>National Meteorological and Oceanographic Centre, Bureau of Meteorology, 700 Collins Street</s1>
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<sZ>14 aut.</sZ>
</fA14>
<fA14 i1="13"><s1>Zentrafanstalt für Météorologie und Geodynamik (ZAMG), Hohe Warte 38</s1>
<s2>1190 Vienna</s2>
<s3>AUT</s3>
<sZ>16 aut.</sZ>
</fA14>
<fA14 i1="14"><s1>World Meteorological Organization, 7bis, rue de la Paix, PO Box 2300</s1>
<s2>1211 Geneva</s2>
<s3>CHE</s3>
<sZ>18 aut.</sZ>
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<fC01 i1="01" l="ENG"><s0>In this paper, we introduce a methodology for quality assessment of backtracking models. We present results illustrating the level of agreement between the backtracking models, and the accuracy of each model and the ensemble model in resolving the geo-temporal reference of a single point source. Both assessments are based on an ensemble of 12 different Lagrangian particle dispersion modelling (LPDM) systems utilized in receptor oriented (adjoint) mode during an international numerical experiment dedicated to source region estimation. As major result, we can confirm that the findings of Galmarini et al. [2004b. Ensemble prediction forecasting-Part II: application and evaluation. Atmospheric Environment 38, 4619-4632] and Delle Monache and Stull [2003. An ensemble air-quality forecast over Europe during an ozone episode. Atmospheric Environment 37, 3469-3474], regarding the superiority of the ensemble dispersion forecast over a single forecast, do also apply to LPDM when utilized for backtracking purposes, in particular if only vague a priori knowledge of the source time is available. This, however, is a likely situation in the context of the global nuclear monitoring performed by the Provisional Technical Secretariat (PTS) of the Comprehensive Nuclear-Test-Ban Treaty Organization (CTBTO), where quick but reliable source location identification is required. We introduce a simple methodology as a template for a future electronic emergency response system in the field of dispersion modelling.</s0>
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<fC03 i1="03" i2="X" l="ENG"><s0>Radioisotope</s0>
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<s5>03</s5>
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<s5>04</s5>
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<fC03 i1="04" i2="X" l="SPA"><s0>Fuente polución</s0>
<s5>04</s5>
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<fC03 i1="05" i2="X" l="FRE"><s0>Source ponctuelle</s0>
<s5>05</s5>
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<server><NO>PASCAL 07-0359784 INIST</NO>
<ET>Global backtracking of anthropogenic radionuclides by means of a receptor oriented ensemble dispersion modelling system in support of Nuclear-Test-Ban Treaty verification</ET>
<AU>BECKER (Andreas); WOTAWA (Gerhard); DE GEER (Lars-Erik); SEIBERT (Petra); DRAXLER (Roland R.); SLOAN (Craig); D'AMOURS (Real); HORT (Matthew); GLAAB (Hubert); HEINRICH (Philippe); GRILLON (Yves); SHERSHAKOV (Vyacheslav); KATAYAMA (Keiichi); YUETANG ZHANG; STEWART (Paul); HIRTL (Marcus); JEAN (Michel); CHEN (Peter)</AU>
<AF>Preparatory Commission for the Comprehensive Nuclear-Test-Ban Treaty Organization, Provisional Technical Secrétariat, Vienna International Data Centre, P.O. Box 1200/1400 Vienna/Autriche (1 aut., 2 aut., 3 aut.); Institute of Meteorology, University of Natural Resources and Applied Life Science, Peter-Jordan-Street 82/1190 Vienna/Autriche (4 aut.); National Oceanic and Atmospheric Administration (NOAA) 1325 East West Highway/Silver Spring, MD 20910-3283/Etats-Unis (5 aut.); US National Data Centre, HQ Air Force Technical Applications Centre (AFTAC)/TMAR Patrick AFB/FL 32925-3002/Etats-Unis (6 aut.); Canadian Meteorological Centre, Environmental Emergency Response Division, 2121 Trans-Canada Highway/Dorval, Que., H9P IJ3/Canada (7 aut., 17 aut.); Met Office, FitzRoy Road/Exeter, Devon EX1 3PB/Royaume-Uni (8 aut.); Deutscher Wetterdienst, Frankfurter Strasse 135/63067 Offenbach/Main/Allemagne (9 aut.); Commissariat à l'énergie atomique (CEA) B.P. 12/91680 Bruyères-le-Châtel/France (10 aut.); Federal Emergency Response Centre (FEERC/Roshydromet), Scientific Production Association (SPA) "Typhoon", 82 Lenin Prospekt/249038 Obinsk, Kaluga Région/Russie (11 aut.); Japan Meteorological Agency, 1-3-4 Otemachi/Chiyoda-ku, Tokyo 100-8122/Japon (12 aut.); National Meteorological Centre, China Meteorological Administration, 46 Zhongguancun Nandajie/Haidian District, Beijing 100081/Chine (13 aut.); National Meteorological and Oceanographic Centre, Bureau of Meteorology, 700 Collins Street/Melbourne, Victoria 3000/Australie (14 aut.); Zentrafanstalt für Météorologie und Geodynamik (ZAMG), Hohe Warte 38/1190 Vienna/Autriche (16 aut.); World Meteorological Organization, 7bis, rue de la Paix, PO Box 2300/1211 Geneva/Suisse (18 aut.)</AF>
<DT>Publication en série; Niveau analytique</DT>
<SO>Atmospheric environment : (1994); ISSN 1352-2310; Royaume-Uni; Da. 2007; Vol. 41; No. 21; Pp. 4520-4534; Bibl. 1 p.3/4</SO>
<LA>Anglais</LA>
<EA>In this paper, we introduce a methodology for quality assessment of backtracking models. We present results illustrating the level of agreement between the backtracking models, and the accuracy of each model and the ensemble model in resolving the geo-temporal reference of a single point source. Both assessments are based on an ensemble of 12 different Lagrangian particle dispersion modelling (LPDM) systems utilized in receptor oriented (adjoint) mode during an international numerical experiment dedicated to source region estimation. As major result, we can confirm that the findings of Galmarini et al. [2004b. Ensemble prediction forecasting-Part II: application and evaluation. Atmospheric Environment 38, 4619-4632] and Delle Monache and Stull [2003. An ensemble air-quality forecast over Europe during an ozone episode. Atmospheric Environment 37, 3469-3474], regarding the superiority of the ensemble dispersion forecast over a single forecast, do also apply to LPDM when utilized for backtracking purposes, in particular if only vague a priori knowledge of the source time is available. This, however, is a likely situation in the context of the global nuclear monitoring performed by the Provisional Technical Secretariat (PTS) of the Comprehensive Nuclear-Test-Ban Treaty Organization (CTBTO), where quick but reliable source location identification is required. We introduce a simple methodology as a template for a future electronic emergency response system in the field of dispersion modelling.</EA>
<CC>001D16C03</CC>
<FD>Pollution air; Pollution radioactive; Radioisotope; Source pollution; Source ponctuelle; Localisation source; Trajectoire; Modélisation; Etude comparative; Simulation numérique; Modèle Lagrange; Dispersion atmosphérique; Evaluation performance logiciel; Performance algorithme; Système urgence; Simulation ensemble</FD>
<ED>Air pollution; Radioactive pollution; Radioisotope; Pollution source; Point source; Source localization; Trajectory; Modeling; Comparative study; Numerical simulation; Lagrangian model; Atmospheric dispersion; Software performance evaluation; Algorithm performance; Emergency system; Ensemble simulation</ED>
<SD>Contaminación aire; Polución radioactiva; Radionúclido; Fuente polución; Fuente puntual; Localización fuente; Trayectoria; Modelización; Estudio comparativo; Simulación numérica; Modelo Lagrange; Dispersión atmosférica; Resultado algoritmo; Sistema urgencia</SD>
<LO>INIST-8940B.354000149876150140</LO>
<ID>07-0359784</ID>
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Global backtracking of anthropogenic radionuclides by means of a receptor oriented ensemble dispersion modelling system in support of Nuclear-Test-Ban Treaty verification

Global backtracking of anthropogenic radionuclides by means of a receptor oriented ensemble dispersion modelling system in support of Nuclear-Test-Ban Treaty verification

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