EURODELTA-Trends, a multi-model experiment of air quality hindcast in Europe over 1990–2010
Artikel i vetenskaplig tidskrift, 2017
The EURODELTA-Trends multi-model chemistry-transport experiment has been designed to facilitate a better understanding of the evolution of air pollution and its drivers for the period 1990–2010 in Europe. The main objective of the experiment is to assess the efficiency of air pollutant emissions mitigation measures in improving regional-scale air quality.
The present paper formulates the main scientific questions and policy issues being addressed by the EURODELTA-Trends modelling experiment with an emphasis on how the design and technical features of the modelling experiment answer these questions.
The experiment is designed in three tiers, with increasing degrees of computational demand in order to facilitate the participation of as many modelling teams as possible. The basic experiment consists of simulations for the years 1990, 2000, and 2010. Sensitivity analysis for the same three years using various combinations of (i) anthropogenic emissions, (ii) chemical boundary conditions, and (iii) meteorology complements it. The most demanding tier consists of two complete time series from 1990 to 2010, simulated using either time-varying emissions for corresponding years or constant emissions.
Eight chemistry-transport models have contributed with calculation results to at least one experiment tier, and five models have – to date – completed the full set of simulations (and 21-year trend calculations have been performed by four models). The modelling results are publicly available for further use by the scientific community.
The main expected outcomes are (i) an evaluation of the models' performances for the three reference years, (ii) an evaluation of the skill of the models in capturing observed air pollution trends for the 1990–2010 time period, (iii) attribution analyses of the respective role of driving factors (e.g. emissions, boundary conditions, meteorology), (iv) a dataset based on a multi-model approach, to provide more robust model results for use in impact studies related to human health, ecosystem, and radiative forcing.
The present paper formulates the main scientific questions and policy issues being addressed by the EURODELTA-Trends modelling experiment with an emphasis on how the design and technical features of the modelling experiment answer these questions.
The experiment is designed in three tiers, with increasing degrees of computational demand in order to facilitate the participation of as many modelling teams as possible. The basic experiment consists of simulations for the years 1990, 2000, and 2010. Sensitivity analysis for the same three years using various combinations of (i) anthropogenic emissions, (ii) chemical boundary conditions, and (iii) meteorology complements it. The most demanding tier consists of two complete time series from 1990 to 2010, simulated using either time-varying emissions for corresponding years or constant emissions.
Eight chemistry-transport models have contributed with calculation results to at least one experiment tier, and five models have – to date – completed the full set of simulations (and 21-year trend calculations have been performed by four models). The modelling results are publicly available for further use by the scientific community.
The main expected outcomes are (i) an evaluation of the models' performances for the three reference years, (ii) an evaluation of the skill of the models in capturing observed air pollution trends for the 1990–2010 time period, (iii) attribution analyses of the respective role of driving factors (e.g. emissions, boundary conditions, meteorology), (iv) a dataset based on a multi-model approach, to provide more robust model results for use in impact studies related to human health, ecosystem, and radiative forcing.
Författare
Augustin Colette
Institut National de l'Environnement Industriel et des Risques (INERIS)
Camilla Andersson
SMHI
Astrid Manders
Nederlandse Organisatie voor toegepast-natuurwetenschappelijk onderzoek (TNO)
Kathleen Mar
Institute for Advanced Sustainability Studies (IASS)
Mihaela Mircea
ENEA Centro Ricerche Bologna
Maria-Teresa Pay
Barcelona Supercomputing Center (BSC)
Valentin Raffort
École des Ponts ParisTech
S. Tsyro
Meteorologisk institutt
C. Cuvelier
Gemensamma forskningscentrumet (JRC), Europeiska kommissionen
Mario Adani
ENEA Centro Ricerche Bologna
B. Bessagnet
Institut National de l'Environnement Industriel et des Risques (INERIS)
Robert Bergström
SMHI
Mikrovågs- och optisk fjärranalys
Gino Briganti
ENEA Centro Ricerche Bologna
Tim Butler
Institute for Advanced Sustainability Studies (IASS)
Andrea Cappelletti
ENEA Centro Ricerche Bologna
Florian Couvidat
Institut National de l'Environnement Industriel et des Risques (INERIS)
Massimo D'Isidoro
ENEA Centro Ricerche Bologna
Thierno Doumbia
Université Paris Pantheon-Sorbonne
Hilde Fagerli
Meteorologisk institutt
C. Granier
University of Colorado at Boulder
Université Paris Pantheon-Sorbonne
C. Heyes
Internationales Institut fuer Angewandte Systemanalyse
Z. Klimont
Internationales Institut fuer Angewandte Systemanalyse
Narendra Ojha
Max-Planck-Institut für Chemie
Noelia Otero
Institute for Advanced Sustainability Studies (IASS)
M. Schaap
Nederlandse Organisatie voor toegepast-natuurwetenschappelijk onderzoek (TNO)
Katarina Sindelarova
Université Paris Pantheon-Sorbonne
Annemiek I. Stegehuis
Le Commissariat à l’Énergie Atomique et aux Énergies Alternatives (CEA)
Yelva Roustan
École des Ponts ParisTech
R. Vautard
Le Commissariat à l’Énergie Atomique et aux Énergies Alternatives (CEA)
Erik van Meijgaard
Royal Netherlands Meteorological Institute
Marta G. Vivanco
Centro de Investigaciones Energeticas, Medioambientales y Tecnologicas (Ciemat)
Peter Wind
Universitetet i Tromsø – Norges arktiske universitet
Geoscientific Model Development
1991-959X (ISSN) 1991-9603 (eISSN)
Vol. 10 9 3255-3276Ämneskategorier
Meteorologi och atmosfärforskning
Fundament
Grundläggande vetenskaper
DOI
10.5194/gmd-10-3255-2017