Preprints
https://doi.org/10.5194/acp-2020-1308
https://doi.org/10.5194/acp-2020-1308

  06 Jan 2021

06 Jan 2021

Review status: a revised version of this preprint is currently under review for the journal ACP.

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

Roman Nuterman1, Alexander Mahura2, Alexander Baklanov3,1, Bjarne Amstrup4, and Ashraf Zakey5 Roman Nuterman et al.
  • 1Niels Bohr Institute, University of Copenhagen, Copenhagen, 2100, Denmark
  • 2Institute for Atmospheric and Earth System Research, University of Helsinki, Helsinki, 00560, Finland
  • 3World Meteorological Organization, Geneva 2, 1211, Switzerland
  • 4Danish Meteorological Institute, Copenhagen, 2100, Denmark
  • 5Egyptian Meteorological Authority, Cairo, 11784, Egypt

Abstract. In this study, the downscaling modelling chain for prediction of weather and atmospheric composition is described and evaluated against observations. The chain consists of interfaced models for forecasting at different spatio-temporal scales and run in a semi-operational mode. The forecasts were performed for European (EU) regional and Danish (DK) sub-regional/urban-scales by the offline coupled numerical weather prediction HIRLAM and atmospheric chemical transport CAMx models, and for Copenhagen city/street scale – by the online coupled computational fluid dynamics M2UE model. The results showed elevated NOx and lowered O3 concentrations over major urban, industrial and transport land/water routes in both the EU and DK domain forecasts. The O3 diurnal cycle predictions in both these domains were equally good, although O3 values were closer to observations for Denmark. At the same time, the DK forecast of NOx levels was more biased (with better prediction score of the diurnal cycle) than EU forecast, indicating a necessity to adjust emission rates. Further downscaling to the street level (Copenhagen) indicated that the NOx pollution was 2-fold higher on weekend and more than 5 times higher during working day with high pollution episode. Despite of high uncertainty in road traffic emissions, the street-scale model captured well the NOx diurnal cycle and onset of elevated pollution episode. The demonstrated downscaling system could be used in future online integrated meteorology and air quality research and operational forecasting, as well as applied for impact assessments on environment, population and decision making for emergency preparedness and safety measures planning.

Roman Nuterman et al.

Status: final response (author comments only)

Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor | : Report abuse
  • RC1: 'Comment on acp-2020-1308', Anonymous Referee #1, 06 Feb 2021
  • RC2: 'Comment on acp-2020-1308', Anonymous Referee #2, 24 Feb 2021
  • AC1: 'Comment on acp-2020-1308', Roman Nuterman, 09 Apr 2021

Roman Nuterman et al.

Roman Nuterman et al.

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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, sub-regional/urban and street scales and evaluate it for acute air-pollution episode. Its evaluation showed a good prediction score across various spatio-temporal scales as well as feasibility of deterministic modelling approach for the operational street scale forecasting.
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