Preprints
https://doi.org/10.5194/gmd-2021-52
https://doi.org/10.5194/gmd-2021-52

Submitted as: model experiment description paper 12 Apr 2021

Submitted as: model experiment description paper | 12 Apr 2021

Review status: a revised version of this preprint was accepted for the journal GMD and is expected to appear here in due course.

Effect of accounting for public holidays on skills of atmospheric composition model SILAM v.5.7

Yalda Fatahi, Rostislav Kouznetsov, and Mikhail Sofiev Yalda Fatahi et al.
  • Finnish Meteorological Institute, Helsinki, 00560, Finland

Abstract. Changes in anthropogenic activity during public holidays influence air pollutant concentrations. The objective of this study is to quantify the public holiday’s effect on air quality and to analyse the added value of accounting for the holidays in AQ modelling and forecasting. Spatial and temporal distributions of atmospheric concentrations of the major air pollutants (PM2.5, PM10, SO2, CO, NO2, NOX, and O3) were considered at the European scale for all public holidays of 2018. Particular attention was given to the events with the most-pronounced continental or regional impact: Christmas and New Year, Easter, May vacations and last days of Ramadan. The simulations were performed with the Eulerian chemistry transport model SILAM v.5.7. Three model runs were performed: the baseline with no treatment of holidays, the run considering the holidays as Sundays, and the run forcing 80 % reduction of emissions for the week-day sensitive sectors. . The emission scaling was applied on a country basis. The model predictions were compared with in-situ observations collected by the European Environment Agency. The experiment showed that even conservative treatment of official holidays has a large positive impact on NOx (up to 30 % of bias reduction in the holiday days) and also improves the CO, PM2.5 and O3 predictions. In many cases, the sensitivity study suggested deeper emission reduction than the level of Sundays. An individual consideration of the holiday events in different countries may further improve their representation in the models: specific diurnal pattern of emissions, additional emission due to fireworks, different driving patterns, etc.

Yalda Fatahi et al.

Status: closed

Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor | : Report abuse
  • RC1: 'Comment on gmd-2021-52', Anonymous Referee #1, 12 May 2021
  • RC2: 'Comment on gmd-2021-52', Anonymous Referee #2, 17 May 2021
    • AC1: 'Reply on RC2', Yalda Fatahi, 02 Jun 2021

Status: closed

Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor | : Report abuse
  • RC1: 'Comment on gmd-2021-52', Anonymous Referee #1, 12 May 2021
  • RC2: 'Comment on gmd-2021-52', Anonymous Referee #2, 17 May 2021
    • AC1: 'Reply on RC2', Yalda Fatahi, 02 Jun 2021

Yalda Fatahi et al.

Yalda Fatahi et al.

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Short summary
Incorporation of information on public holidays in emission of the affected anthropogenic sectors leads to substantial short-term improvements of the SILAM model scores, even if done conservatively. The largest impact was found for NOx, which is controlled by changes of the traffic intensity.