EURODELTA-Trends, a multi-model experiment of air quality hindcast in Europe over 1990–2010
Journal article, 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.


Augustin Colette

Camilla Andersson

Astrid Manders

Kathleen Mar

Mihaela Mircea

Maria-Teresa Pay

Valentin Raffort

S. Tsyro

C. Cuvelier

Mario Adani

B. Bessagnet

Robert Bergström


Microwave and Optical Remote Sensing

Gino Briganti

Tim Butler

Andrea Cappelletti

Florian Couvidat

Massimo D'Isidoro

Thierno Doumbia

Hilde Fagerli

C. Granier

C. Heyes

Z. Klimont

Narendra Ojha

Noelia Otero

M. Schaap

Katarina Sindelarova

Annemiek I. Stegehuis

Yelva Roustan

R. Vautard

Erik van Meijgaard

Marta G. Vivanco

Peter Wind

Geoscientific Model Development

1991-959X (ISSN)

Vol. 10 9 3255-3276

Subject Categories

Meteorology and Atmospheric Sciences


Basic sciences



More information

Latest update

2/3/2019 5