Articles | Volume 19, issue 22
https://doi.org/10.5194/acp-19-14211-2019
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/acp-19-14211-2019
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
26 Nov 2019
Research article |
| 26 Nov 2019
| 26 Nov 2019
Analysis of summer O3 in the Madrid air basin with the LOTOS-EUROS chemical transport model
Centro Universitario de la Defensa (CUD) de Zaragoza, Academia General Militar, Ctra. de Huesca s/n, 50090 Zaragoza, Spain
TNO, P.O. Box 80015, 3584 TA, Utrecht, the Netherlands
Arjo Segers
TNO, P.O. Box 80015, 3584 TA, Utrecht, the Netherlands
Richard Kranenburg
TNO, P.O. Box 80015, 3584 TA, Utrecht, the Netherlands
Xavier Querol
Institute of Environmental Assessment and Water Research (IDAEA-CSIC), Jordi Girona 18-26, 08034 Barcelona, Spain
Andrés Alastuey
Institute of Environmental Assessment and Water Research (IDAEA-CSIC), Jordi Girona 18-26, 08034 Barcelona, Spain
Rafael Borge
Department of Chemical and Environmental Engineering, Technical University of Madrid (UPM), c/José Gutiérrez Abascal 2, 28006 Madrid, Spain
David de la Paz
Department of Chemical and Environmental Engineering, Technical University of Madrid (UPM), c/José Gutiérrez Abascal 2, 28006 Madrid, Spain
Gotzon Gangoiti
Escuela Técnica Superior de Ingeniería de Bilbao, Departamento de Ingeniería Química y del Medio Ambiente, Universidad del País Vasco (UPV/EHU), Urkixo Zumarkalea, s/n, 48013 Bilbao, Spain
Martijn Schaap
TNO, P.O. Box 80015, 3584 TA, Utrecht, the Netherlands
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Cited
26 citations as recorded by crossref.
- Improving Air Pollution Modelling in Complex Terrain with a Coupled WRF–LOTOS–EUROS Approach: A Case Study in Aburrá Valley, Colombia J. Hinestroza-Ramirez et al. 10.3390/atmos14040738
- Changes in the concentration of air pollutants before and after the COVID-19 blockade period and their correlation with vegetation coverage M. Zhou et al. 10.1007/s11356-020-12164-2
- Analysis of lockdown for CoViD-19 impact on NO2 in London, Milan and Paris: What lesson can be learnt? M. Collivignarelli et al. 10.1016/j.psep.2020.12.029
- The Spatiotemporal Variability of Ozone and Nitrogen Dioxide in the Po Valley Using In Situ Measurements and Model Simulations S. Musollari et al. 10.3390/rs17101794
- Investigating the impact of coupling HARMONIE-WINS50 (cy43) meteorology to LOTOS-EUROS (v2.2.002) on a simulation of NO2 concentrations over the Netherlands A. Yarce Botero et al. 10.5194/gmd-17-3765-2024
- Impact on Air Quality of the COVID-19 Lockdown in the Urban Area of Palermo (Italy) M. Vultaggio et al. 10.3390/ijerph17207375
- What is the relationship between the coronavirus crisis and air pollution in Tunisia? N. Chekir & Y. Ben Salem 10.1007/s41207-020-00189-5
- Analysis of an intense O3 pollution episode on the Atlantic coast of the Iberian Peninsula using photochemical modeling: characterization of transport pathways and accumulation processes E. Torre-Pascual et al. 10.5194/acp-24-4305-2024
- Source attribution of particulate matter in Berlin J. Pültz et al. 10.1016/j.atmosenv.2022.119416
- Extreme ozone episodes in a major Mediterranean urban area J. Massagué et al. 10.5194/acp-24-4827-2024
- Local Analysis of Air Quality Changes in the Community of Madrid before and during the COVID-19 Induced Lockdown M. Betancourt-Odio et al. 10.3390/atmos12060659
- Surface Ozone Variability in Two Contrasting Megacities, Cairo and Paris, and Its Observation from Satellites A. Mostafa et al. 10.3390/atmos16040475
- Air quality change and public perception during the COVID-19 lockdown in India A. Sekar et al. 10.1016/j.gr.2022.04.023
- Origin of regional springtime ozone episodes in the Sichuan Basin, China: Role of synoptic forcing and regional transport X. Yang et al. 10.1016/j.envpol.2021.116845
- Spatiotemporal variations of tropospheric ozone in Spain (2008–2019) J. Massagué et al. 10.1016/j.envint.2023.107961
- Summertime tropospheric ozone source apportionment study in the Madrid region (Spain) D. de la Paz et al. 10.5194/acp-24-4949-2024
- Lockdown for CoViD-2019 in Milan: What are the effects on air quality? M. Collivignarelli et al. 10.1016/j.scitotenv.2020.139280
- To new heights by flying low: comparison of aircraft vertical NO2 profiles to model simulations and implications for TROPOMI NO2 retrievals T. Riess et al. 10.5194/amt-16-5287-2023
- 2005–2018 trends in ozone peak concentrations and spatial contributions in the Guadalquivir Valley, southern Spain J. Massagué et al. 10.1016/j.atmosenv.2021.118385
- Investigating the Sensitivity of Modelled Ozone Levels in the Mediterranean to Dry Deposition Parameters A. Barreirinha et al. 10.3390/atmos16050620
- Dynamic evaluation of modeled ozone concentrations in Germany with four chemistry transport models M. Thürkow et al. 10.1016/j.scitotenv.2023.167665
- Lessons from the COVID-19 air pollution decrease in Spain: Now what? X. Querol et al. 10.1016/j.scitotenv.2021.146380
- Study on the spatiotemporal dynamic of ground-level ozone concentrations on multiple scales across China during the blue sky protection campaign B. Guo et al. 10.1016/j.envint.2022.107606
- Non-Parametric and Robust Sensitivity Analysis of the Weather Research and Forecast (WRF) Model in the Tropical Andes Region J. Hinestroza-Ramirez et al. 10.3390/atmos14040686
- Understanding the local and remote source contributions to ambient O3 during a pollution episode using a combination of experimental approaches in the Guadalquivir valley, southern Spain M. in 't Veld et al. 10.1016/j.scitotenv.2020.144579
- Drivers of divergent trends in tropospheric ozone hotspots in Spain, 2008–2019 J. Massagué et al. 10.1007/s11869-023-01468-0
26 citations as recorded by crossref.
- Improving Air Pollution Modelling in Complex Terrain with a Coupled WRF–LOTOS–EUROS Approach: A Case Study in Aburrá Valley, Colombia J. Hinestroza-Ramirez et al. 10.3390/atmos14040738
- Changes in the concentration of air pollutants before and after the COVID-19 blockade period and their correlation with vegetation coverage M. Zhou et al. 10.1007/s11356-020-12164-2
- Analysis of lockdown for CoViD-19 impact on NO2 in London, Milan and Paris: What lesson can be learnt? M. Collivignarelli et al. 10.1016/j.psep.2020.12.029
- The Spatiotemporal Variability of Ozone and Nitrogen Dioxide in the Po Valley Using In Situ Measurements and Model Simulations S. Musollari et al. 10.3390/rs17101794
- Investigating the impact of coupling HARMONIE-WINS50 (cy43) meteorology to LOTOS-EUROS (v2.2.002) on a simulation of NO2 concentrations over the Netherlands A. Yarce Botero et al. 10.5194/gmd-17-3765-2024
- Impact on Air Quality of the COVID-19 Lockdown in the Urban Area of Palermo (Italy) M. Vultaggio et al. 10.3390/ijerph17207375
- What is the relationship between the coronavirus crisis and air pollution in Tunisia? N. Chekir & Y. Ben Salem 10.1007/s41207-020-00189-5
- Analysis of an intense O3 pollution episode on the Atlantic coast of the Iberian Peninsula using photochemical modeling: characterization of transport pathways and accumulation processes E. Torre-Pascual et al. 10.5194/acp-24-4305-2024
- Source attribution of particulate matter in Berlin J. Pültz et al. 10.1016/j.atmosenv.2022.119416
- Extreme ozone episodes in a major Mediterranean urban area J. Massagué et al. 10.5194/acp-24-4827-2024
- Local Analysis of Air Quality Changes in the Community of Madrid before and during the COVID-19 Induced Lockdown M. Betancourt-Odio et al. 10.3390/atmos12060659
- Surface Ozone Variability in Two Contrasting Megacities, Cairo and Paris, and Its Observation from Satellites A. Mostafa et al. 10.3390/atmos16040475
- Air quality change and public perception during the COVID-19 lockdown in India A. Sekar et al. 10.1016/j.gr.2022.04.023
- Origin of regional springtime ozone episodes in the Sichuan Basin, China: Role of synoptic forcing and regional transport X. Yang et al. 10.1016/j.envpol.2021.116845
- Spatiotemporal variations of tropospheric ozone in Spain (2008–2019) J. Massagué et al. 10.1016/j.envint.2023.107961
- Summertime tropospheric ozone source apportionment study in the Madrid region (Spain) D. de la Paz et al. 10.5194/acp-24-4949-2024
- Lockdown for CoViD-2019 in Milan: What are the effects on air quality? M. Collivignarelli et al. 10.1016/j.scitotenv.2020.139280
- To new heights by flying low: comparison of aircraft vertical NO2 profiles to model simulations and implications for TROPOMI NO2 retrievals T. Riess et al. 10.5194/amt-16-5287-2023
- 2005–2018 trends in ozone peak concentrations and spatial contributions in the Guadalquivir Valley, southern Spain J. Massagué et al. 10.1016/j.atmosenv.2021.118385
- Investigating the Sensitivity of Modelled Ozone Levels in the Mediterranean to Dry Deposition Parameters A. Barreirinha et al. 10.3390/atmos16050620
- Dynamic evaluation of modeled ozone concentrations in Germany with four chemistry transport models M. Thürkow et al. 10.1016/j.scitotenv.2023.167665
- Lessons from the COVID-19 air pollution decrease in Spain: Now what? X. Querol et al. 10.1016/j.scitotenv.2021.146380
- Study on the spatiotemporal dynamic of ground-level ozone concentrations on multiple scales across China during the blue sky protection campaign B. Guo et al. 10.1016/j.envint.2022.107606
- Non-Parametric and Robust Sensitivity Analysis of the Weather Research and Forecast (WRF) Model in the Tropical Andes Region J. Hinestroza-Ramirez et al. 10.3390/atmos14040686
- Understanding the local and remote source contributions to ambient O3 during a pollution episode using a combination of experimental approaches in the Guadalquivir valley, southern Spain M. in 't Veld et al. 10.1016/j.scitotenv.2020.144579
- Drivers of divergent trends in tropospheric ozone hotspots in Spain, 2008–2019 J. Massagué et al. 10.1007/s11869-023-01468-0
Latest update: 29 Jul 2025
Short summary
In this work we optimise LOTOS-EUROS CTM for simulating tropospheric O3 during summer in the Madrid metropolitan area, one of the largest conurbations 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 O3 variability during July 2016.
In this work we optimise LOTOS-EUROS CTM for simulating tropospheric O3 during summer in the...
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