Eurodelta multi-model simulated and observed particulate matter trends in Europe in the period of 1990–2010

• Published in: Atmospheric Chemistry and Physics
• Main Authors: Tsyro, Svetlana, Aas, Wenche, Colette, Augustin, Andersson, Camilla, Bessagnet, Bertrand, Ciarelli, Giancarlo, Couvidat, Florian, Cuvelier, Kees, Manders, Astrid, Mar, Kathleen, Mircea, Mihaela, Otero, Noelia, Pay, Maria-Teresa, Raffort, Valentin, Roustan, Yelva, Theobald, Mark, Vivanco, Marta, Fagerli, Hilde, Wind, Peter, Briganti, Gino, Cappelletti, Andrea, d'Isidoro, Massimo, Adani, Mario
• Other Authors: Norwegian Meteorological Institute Oslo (MET), Institut National de l'Environnement Industriel et des Risques (INERIS), Agenzia Nazionale per le nuove Tecnologie, l’energia e lo sviluppo economico sostenibile = Italian National Agency for New Technologies, Energy and Sustainable Economic Development (ENEA), ANR-18-EBI4-0007,BioDiv-support,BioDiv-Support: Scenario-based decision support for policy planning and adaptation to future changes in biodiversity and ecosystem services(2018)
• Format: Article in Journal/Newspaper
• Language: English
• Published: HAL CCSD 2022
• Subjects: [SDE]Environmental Sciences; Fennoscandia
• Online Access: https://hal.science/hal-03833145; https://hal.science/hal-03833145/document; https://hal.science/hal-03833145/file/2022-059.pdf; https://doi.org/10.5194/acp-22-7207-2022

International audience The Eurodelta-Trends (EDT) multi-model experiment, aimed at assessing the efficiency of emission mitigation measures in improving air quality in Europe during 1990–2010, was designed to answer a series of questions regarding European pollution trends; i.e. were there significant trends detected by observations? Do the models manage to reproduce observed trends? How close is the agreement between the models and how large are the deviations from observations? In this paper, we address these issues with respect to particulate matter (PM) pollution. An in-depth trend analysis has been performed for PM10 and PM2.5 for the period of 2000–2010, based on results from six chemical transport models and observational data from the EMEP (Cooperative Programme for Monitoring and Evaluation of the Long-range Transmission of Air Pollutants in Europe) monitoring network. Given harmonization of set-up and main input data, the differences in model results should mainly result from differences in the process formulations within the models themselves, and the spread in the model-simulated trends could be regarded as an indicator for modelling uncertainty.The model ensemble simulations indicate overall decreasing trends in PM10 and PM2.5 from 2000 to 2010, with the total reductions of annual mean concentrations by between 2 and 5 (7 for PM10) µg m−3 (or between 10 % and 30 %) across most of Europe (by 0.5–2 µg m−3 in Fennoscandia, the north-west of Russia and eastern Europe) during the studied period. Compared to PM2.5, relative PM10 trends are weaker due to large inter-annual variability of natural coarse PM within the former. The changes in the concentrations of PM individual components are in general consistent with emission reductions. There is reasonable agreement in PM trends estimated by the individual models, with the inter-model variability below 30 %–40 % over most of Europe, increasing to 50 %–60 % in the northern and eastern parts of the EDT domain.Averaged over measurement sites (26 for PM10 and ...