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Discussion papers
https://doi.org/10.5194/acp-2019-389
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/acp-2019-389
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.

Submitted as: research article 15 Oct 2019

Submitted as: research article | 15 Oct 2019

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This discussion paper is a preprint. It is a manuscript under review for the journal Atmospheric Chemistry and Physics (ACP).

Regional-scale modelling for the assessment of atmospheric particulate matter concentrations at rural background locations in Europe

Goran Gašparac1, Amela Jeričević2, Prashant Kumar3, and Grisogono Branko4 Goran Gašparac et al.
  • 1Croatian Meteorological and Hydrological Service, Zagreb, Croatia
  • 2Croatia Control Ltd., Zagreb, Croatia
  • 3Global Centre for Clean Air Research (GCARE), Department of Civil and Environmental Engineering, Faculty of Engineering and Physical Sciences, University of Surre, Guildford GU2 7XH, United Kingdom
  • 4Department of Geophysics, Faculty of Science, University of Zagreb, Zagreb, Croatia

Abstract. The application of regional-scale air quality models is an important tool in air quality assessment and management. For this reason, the understanding of model abilities and performances is mandatory. The main objective of this research was to investigate the spatial and temporal variability of background particulate matter (PM) concentrations, to evaluate the regional air quality modelling performance in simulating PM concentrations during statically stable conditions and to investigate processes that contribute to regionally increased PM concentrations with a focus on Eastern and Central Europe. The temporal and spatial variability of observed particulate matter (PM) was analysed at 310 rural background stations in Europe during 2011. Two different regional air quality modelling systems (offline coupled EMEP and online coupled Weather Research and Forecast-Chem) were applied to simulate the transport of pollutants and to further investigate the processes that contributed to increased concentrations during high pollution episodes. Background PM measurements from rural background stations and wind speed, surface pressure and ambient temperature data from 920 meteorological stations across Europe, classified according to the elevation, were used for the evaluation of individual model performance. Among the sea-level stations (up to 200 m), the best modelling performance, in terms of meteorology and chemistry, was found for both models. The underestimated modelled PM concentrations in some cases indicated the importance of accurate assessment of regional air pollution transport under statically stable atmospheric conditions and the necessity of further model improvements.

Goran Gašparac et al.
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Model code and software

A Description of the Advanced Research WRF Version 3 W. C. Skamarock, J. B. Klemp, J. Dudhia, D. O. Gill, D. M. Barker, M. G Duda, X.-Y. Huang, W. Wang, and J. G. Powers https://doi.org/10.5065/D68S4MVH

Fully coupled 'online' chemistry in the WRF model G. A. Grell, S. E. Peckham, R. Schmitz, S. A. McKeen, G. Frost, W. C. Skamarock, and B. Eder https://doi.org/10.1016/j.atmosenv.2005.04.027

The EMEP MSC-W chemical transport model-technical description D. Simpson, A. Benedictow, H. Berge, R. Bergström, L. D. Emberson, H. Fagerli, C. R. Flechard, G. D. Hayman, M. Gauss, J. E. Jonson, M. E. Jenkin, A. Nyíri, C. Richter, V. S. Semeena, S. Tsyro, J.-P. Tuovinen, A. Valdebenito, and P. Wind https://doi.org/10.5194/acp-12-7825-2012

Goran Gašparac et al.
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Short summary
Two different available air quality modelling systems were used to investigate physical and chemical processes that contributed to increased daily background PM10 in all of Europe (focus on Eastern and Central Europe). We showed the differentiation of modelling performance in respect to the terrain height, a strong influence of meteorological conditions on increased background PM10, and statically stable atmospheric conditions were recognized as a key factor in the build-up of background PM10.
Two different available air quality modelling systems were used to investigate physical and...
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