EURODELTA-Trends, a multi-model experiment of air quality hindcast in Europe over 1990–2010
- 1INERIS, Institut National de l'Environnement Industriel et des Risques, Verneuil en Halatte, France
- 2SMHI, Swedish Meteorological and Hydrological Institute Norrköping, Norrköping, Sweden
- 3TNO, Netherlands Institute for Applied Scientific Research, Utrecht, the Netherlands
- 4IASS, Institute for Advanced Sustainability Studies, Potsdam, 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 – EDF R&D, Champs-Sur-Marne, France
- 8MET Norway, Norwegian Meteorological Institute, Oslo, Norway
- 9European 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 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.