TY - JOUR
T1 - Evaluation of the performance of four chemical transport models in predicting the aerosol chemical composition in Europe in 2005
AU - Prank, Marje
AU - Sofiev, Mikhail
AU - Tsyro, Svetlana
AU - Hendriks, Carlijn
AU - Semeena, Valiyaveetil
AU - Vazhappilly Francis, Xavier
AU - Butler, Tim
AU - Denier van der Gon, Hugo
AU - Friedrich, Rainer
AU - Kong, Xin
AU - Hendricks, Johannes
AU - Lawrence, Mark
AU - Righi, Mattia
AU - Samaras, Zissis
AU - Sausen, Robert
AU - Kukkonen, Jaakko
AU - Sokhi, Ranjeet
N1 - © Author(s) 2016.
PY - 2016/5/18
Y1 - 2016/5/18
N2 - Four regional chemistry transport models were applied to simulate the concentration and composition of particulate matter (PM) in Europe for 2005 with horizontal resolution 20 km. The modelled concentrations were compared with the measurements of PM chemical composition by the European Monitoring and Evaluation Programme (EMEP) monitoring network. All models systematically underestimated PM10 and PM2:5 by 10–60 %, depending on the model and the season of the year, when the calculated dry PM mass was compared with the measurements. The average water content at laboratory conditions was estimated between 5 and 20% for PM2:5 and between 10 and 25% for PM10. For majority of the PM chemical components, the relative underestimation was smaller than it was for total PM, exceptions being the carbonaceous particles and mineral dust. Some species, such as sea salt and NO3, were overpredicted by the models. There were notable differences between the models’ predictions of the seasonal variations of PM, mainly attributable to different treatments or omission of some source categories and aerosol processes. Benzo(a)pyrene concentrations were overestimated by all the models over the whole year. The study stresses the importance of improving the models’ skill in simulating mineral dust and carbonaceous compounds, necessity for high-quality emissions from wildland fires, as well as the need for an explicit consideration of aerosol water content in model–measurement comparison.
AB - Four regional chemistry transport models were applied to simulate the concentration and composition of particulate matter (PM) in Europe for 2005 with horizontal resolution 20 km. The modelled concentrations were compared with the measurements of PM chemical composition by the European Monitoring and Evaluation Programme (EMEP) monitoring network. All models systematically underestimated PM10 and PM2:5 by 10–60 %, depending on the model and the season of the year, when the calculated dry PM mass was compared with the measurements. The average water content at laboratory conditions was estimated between 5 and 20% for PM2:5 and between 10 and 25% for PM10. For majority of the PM chemical components, the relative underestimation was smaller than it was for total PM, exceptions being the carbonaceous particles and mineral dust. Some species, such as sea salt and NO3, were overpredicted by the models. There were notable differences between the models’ predictions of the seasonal variations of PM, mainly attributable to different treatments or omission of some source categories and aerosol processes. Benzo(a)pyrene concentrations were overestimated by all the models over the whole year. The study stresses the importance of improving the models’ skill in simulating mineral dust and carbonaceous compounds, necessity for high-quality emissions from wildland fires, as well as the need for an explicit consideration of aerosol water content in model–measurement comparison.
KW - AEROSOLS
KW - PARTICULATE MATTER
KW - chemical transport models
U2 - 10.5194/acp-16-6041-2016
DO - 10.5194/acp-16-6041-2016
M3 - Article
SN - 1680-7316
VL - 16
SP - 6041
EP - 6070
JO - Atmospheric Chemistry and Physics
JF - Atmospheric Chemistry and Physics
ER -