Authors: Dóra Lázár; Tamás Weidinger
Addresses: Department of Meteorology, Institute of Geography and Earth Sciences, Eötvös Loránd University, HU-1117 Pázmány Péter Sétány 1/A, Budapest, Hungary ' Department of Meteorology, Institute of Geography and Earth Sciences, Eötvös Loránd University, HU-1117 Pázmány Péter Sétány 1/A, Budapest, Hungary
Abstract: In recent years, it has become increasingly important to measure and predict the concentration of harmful atmospheric pollutants such as dust, aerosol particles, nitrogen compounds, and ozone. By adapting the CMAQ model, we have implemented a coupled air quality-meteorological environmental model system, primarily for the representation of atmospheric ozone in Hungary. We used the WRF model in order to generate the meteorological driver database and so-called SMOKE model for the construction of the input emission database. Our model system is separately run on three-levels of a one-way nested grid with spacing of 108/36/12 km. We studied ozone forecasts based on different model settings and transition time using several verification methods. This paper presents the outline of the project work and the first results of concentration calculations compared to national ambient air station data. Our results show that the night time concentration of ozone is overestimated in our adapted model system.
Keywords: air-quality modelling; ozone; community multi-scale air quality; CMAQ; SMOKE; WRF; emission; model adaptation; Hungary.
International Journal of Environment and Pollution, 2017 Vol.62 No.2/3/4, pp.319 - 346
Received: 22 Aug 2016
Accepted: 27 Mar 2017
Published online: 16 Jan 2018 *