Articles | Volume 21, issue 14
https://doi.org/10.5194/acp-21-11099-2021
https://doi.org/10.5194/acp-21-11099-2021
Research article
 | 
22 Jul 2021
Research article |  | 22 Jul 2021

Downscaling system for modeling of atmospheric composition on regional, urban and street scales

Roman Nuterman, Alexander Mahura, Alexander Baklanov, Bjarne Amstrup, and Ashraf Zakey

Data sets

HIRLAM-5 Scientific Documentation P. Undén, L. Rontu, H. Järvinen, P. Lynch, J. Calvo, G. Cats, J. Cuxart, K. Eerola, C. Fortelius, J. A. Garcia-Moya, C. Jones, G. Lenderlink, A. McDonald, R. Mc-Grath, B. Navascues, N. W. Nielsen, V. Øidegaard, E. Rodriguez, M. Rummukainen, R. Rõõm, K. Sattler, B. H. Sass, H. Savijärvi, B. W. Schreur, R. Sigg, H. The, and A. Tijm http://hirlam.org

User's Guide, Comprehensive air quality model with extensions Ramboll Environ https://camx-wp.azurewebsites.net/getmedia/CAMx_v6.40.src.161223.tgz

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Short summary
The street air pollution is usually higher than the pollution at regional and urban scales. It mostly associated with both local emission sources and urban weather conditions. We present the downscaling system for regional, subregional-urban and street scales and evaluate it for acute air-pollution episode. Its evaluation showed a good prediction score across various spatiotemporal scales as well as feasibility of deterministic modelling approach for the operational street scale forecasting.
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