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Discussion papers
https://doi.org/10.5194/acp-2019-334
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/acp-2019-334
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.

Submitted as: research article 30 Apr 2019

Submitted as: research article | 30 Apr 2019

Review status
This discussion paper is a preprint. A revision of this manuscript was accepted for the journal Atmospheric Chemistry and Physics (ACP) and is expected to appear here in due course.

Analysis of summer O3 in the Madrid air basin with the LOTOS-EUROS chemical transport model

Miguel Escudero1,2, Arjo Segers2, Richard Kranenburg2, Xavier Querol3, Andrés Alastuey3, Rafael Borge4, David de la Paz4, Gotzon Gangoiti5, and Martijn Schaap2 Miguel Escudero et al.
  • 1Centro Universitario de la Defensa (CUD) de Zaragoza, Academia General Militar, Ctra. de Huesca s/n,E-50090 Zaragoza, Spain
  • 2TNO, P.O. Box 80015, 3584 TA, Utrecht, the Netherlands
  • 3Institute of Environmental Assessment and Water Research (IDAEA-CSIC), Jordi Girona 18-26, E-08034Barcelona, Spain
  • 4Department of Chemical & Environmental Engineering, Technical University of Madrid (UPM), c/JoséGutiérrez Abascal 2, E-28006 Madrid, Spain
  • 5Escuela Técnica Superior Ingeniería de Bilbao, Departamento Ingeniería Química y del Medio Ambiente,Universidad del País Vasco UPV/EHU, Urkixo Zumarkalea, s/n, Bilbao, E-48013, Spain

Abstract. Tropospheric O3 remains a major air-quality issue in the Mediterranean region. The combination of large anthropogenic emissions of precursors, transboundary contributions, a warm and dry aestival climate and topographical features results in severe cases of photochemical pollution. Chemical transport models (CTMs) are essential tools for studying O3 dynamics and for assessing mitigation measures but they need to be evaluated specifically for each air basin. In this study, we present an optimisation of the LOTOS-EUROS CTM for the Madrid air basin. Five configurations using different meteorological datasets (from the European Centre for Medium Weather Forecast (ECMWF) and Weather Research and Forecasting (WRF)), horizontal resolution and number of vertical levels were compared for July 2016. LOTOS-EUROS responded satisfactorily in the five configurations reproducing observations of surface O3 with notable correlation and reduced bias and errors. However, the best-fit simulations for surface O3 were obtained by increasing spatial resolution and using a large number of vertical levels to reproduce vertical transport phenomena and the formation of reservoir layers. Using the optimal configuration obtained in the evaluation, three characteristic events have been described: recirculation (REC) episodes and northern and southern advection (NAD and SAD, respectively) events. REC events were found to produce the highest O3 due to the reduced ventilation associated with low wind speeds and the contribution of reservoir layers formed by vertical transport of O3 formed near the surface in the previous days of the event. NAD events, usually associated with higher wind speeds, present the lowest ground-level O3 concentrations in the region. During SAD episodes, external contributions along with low wind speeds allow O3 to increase considerably, but not as much as in REC events because steady southerly winds disperse local emissions and hinder the formation of reservoir layers.

Miguel Escudero et al.
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Interactive discussion
Status: closed
Status: closed
AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment
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Miguel Escudero et al.
Miguel Escudero et al.
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Short summary
In this work we optimize LOTOS_EUROS CTM for simulating tropospheric O3 during summer in the Madrid Metropolitan Area, one of the largest conurbation in the Mediterranean. Comparing the outputs from five set-ups with different combinations of spatial resolution, meteorological data and vertical structure, we conclude that the model benefits from fine horizontal resolution and highly resolved vertical structure. Running optimized configuration run, we interpret the O3 variability during July 2016.
In this work we optimize LOTOS_EUROS CTM for simulating tropospheric O3 during summer in the...
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