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Geoscientific Model Development An interactive open-access journal of the European Geosciences Union
© Author(s) 2017. This work is distributed
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Model experiment description paper
13 Jan 2017
Review status
This discussion paper is under review for the journal Geoscientific Model Development (GMD).
EURODELTA-Trends, a multi-model experiment of air quality hindcast in Europe over 1990–2010
Augustin Colette1, Camilla Andersson2, Astrid Manders3, Kathleen Mar4, Mihaela Mircea5, Maria-Teresa Pay6, Valentin Raffort7, Svetlana Tsyro8, Cornelius Cuvelier9, Mario Adani5, Bertrand Bessagnet1, Robert Bergström2, Gino Briganti5, Tim Butler4, Andrea Cappelletti5, Florian Couvidat1, Massimo D'Isidoro5, Thierno Doumbia10, Hilde Fagerli8, Claire Granier10,11,12, Chris Heyes13, Zig Klimont13, Narendra Ojha14, Noelia Otero4, Martin Schaap3, Katerina Sindelarova10, Annemiek I. Stegehuis15, Yelva Roustan7, Robert Vautard15, Erik van Meijgaard16, Marta Garcia Vivanco17, and Peter Wind8,18 1INERIS, Institut National de l'Environnement Industriel et des Risques, Verneuil en Halatte, France
2SMHI, Swedish Meteorological and Hydrological Institute Norrköping, Sweden
3TNO, Netherlands Institute for Applied Scientific Research, Utrecht, The Netherlands
4IASS, Institute for Advanced Sustainability Studies, Postdam, Germany
5ENEA – National Agency for New Technologies, Energy and Sustainable Economic Development, Bologna, Italy
6Earth Sciences Department, Barcelona Supercomputing Center-Centro Nacional de Supercomputación, Barcelona, Spain
7CEREA, Joint Laboratory Ecole des Ponts ParisTech & ndash; EDF R&D, Champs-Sur-Marne, France
8MET Norway, Norwegian Meteorological Institute, Oslo, Norway
9ex European Commission, Joint Research Centre, Ispra, Italy
10LATMOS/IPSL, UPMC University Paris 06 Sorbonne Universities, Paris, France
11Laboratoire d'Aérologie, Toulouse, France
12NOAA Earth System Research Laboratory and Cooperative Institute for Research in Environmental Sciences, University of Colorado, Boulder, CO, USA
13IIASA International Institute for Applied Systems Analysis, Laxenburg, Austria
14Max-Planck-Institut für Chemie, Mainz, Germany
15LSCE/IPSL, Laboratoire CEA/CNRS/UVSQ, Gif-sur-Yvette, France
16KNMI, Royal Netherlands Meteorological Institute, De Bilt, The Netherlands
17CIEMAT, Madrid, Spain
18Faculty of Science and Technology, University of Tromsø, Tromsø, Norway
Abstract. 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 degree 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 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 three 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 (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.

Citation: Colette, A., Andersson, C., Manders, A., Mar, K., Mircea, M., Pay, M.-T., Raffort, V., Tsyro, S., Cuvelier, C., Adani, M., Bessagnet, B., Bergström, R., Briganti, G., Butler, T., Cappelletti, A., Couvidat, F., D'Isidoro, M., Doumbia, T., Fagerli, H., Granier, C., Heyes, C., Klimont, Z., Ojha, N., Otero, N., Schaap, M., Sindelarova, K., Stegehuis, A. I., Roustan, Y., Vautard, R., van Meijgaard, E., Vivanco, M. G., and Wind, P.: EURODELTA-Trends, a multi-model experiment of air quality hindcast in Europe over 1990–2010, Geosci. Model Dev. Discuss., doi:10.5194/gmd-2016-309, in review, 2017.
Augustin Colette et al.
Augustin Colette et al.
Augustin Colette et al.


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Short summary
The Eurodelta-Trends numerical experiment has been designed to assess the capability of chemistry-transport models to capture the evolution of surface air quality over the 1990–2010 period in Europe. It also includes sensitivity experiments in order to analyse the relative contribution of (i) emission changes, (ii) meteorological variability, (iii) boundary conditions to air quality trends. The article is a detailed presentation of the experiment design and participating models.
The Eurodelta-Trends numerical experiment has been designed to assess the capability of...