Articles | Volume 9, issue 10
Geosci. Model Dev., 9, 3699–3728, 2016
https://doi.org/10.5194/gmd-9-3699-2016
© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Special issue: The community version of the Weather Research and Forecasting...
Development and technical paper 19 Oct 2016
Development and technical paper | 19 Oct 2016
Ozone air quality simulations with WRF-Chem (v3.5.1) over Europe: model evaluation and chemical mechanism comparison
Kathleen A. Mar et al.
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Cited
22 citations as recorded by crossref.
- Quantifying Uncertainties of Ground‐Level Ozone Within WRF‐Chem Simulations in the Mid‐Atlantic Region of the United States as a Response to Variability A. Thomas et al. 10.1029/2018MS001457
- EURODELTA-Trends, a multi-model experiment of air quality hindcast in Europe over 1990–2010 A. Colette et al. 10.5194/gmd-10-3255-2017
- Exploring the economy-wide effects of agriculture on air quality and health: Evidence from Europe E. Giannakis et al. 10.1016/j.scitotenv.2019.01.410
- Towards the coupling of a chemical transport model with a micro-scale Lagrangian modelling system for evaluation of urban NOx levels in a European hotspot G. Veratti et al. 10.1016/j.atmosenv.2020.117285
- Air quality modelling in the summer over the eastern Mediterranean using WRF-Chem: chemistry and aerosol mechanism intercomparison G. Georgiou et al. 10.5194/acp-18-1555-2018
- Multi-model comparison of urban heat island modelling approaches J. Karlický et al. 10.5194/acp-18-10655-2018
- Modeling the impact of a potential shale gas industry in Germany and the United Kingdom on ozone with WRF-Chem L. Weger et al. 10.1525/elementa.387
- Nepal Ambient Monitoring and Source Testing Experiment (NAMaSTE): emissions of particulate matter and sulfur dioxide from vehicles and brick kilns and their impacts on air quality in the Kathmandu Valley, Nepal M. Zhong et al. 10.5194/acp-19-8209-2019
- Trends of inorganic and organic aerosols and precursor gases in Europe: insights from the EURODELTA multi-model experiment over the 1990–2010 period G. Ciarelli et al. 10.5194/gmd-12-4923-2019
- WRF-Chem simulated surface ozone over south Asia during the pre-monsoon: effects of emission inventories and chemical mechanisms A. Sharma et al. 10.5194/acp-17-14393-2017
- Application of WRF-Chem to simulate air quality over Northern Vietnam T. Do et al. 10.1007/s11356-020-08913-y
- Impacts of nature-based solutions on the urban atmospheric environment: a case study for Eindhoven, The Netherlands A. Ascenso et al. 10.1016/j.ufug.2020.126870
- Validation of gas phase chemistry in the WRF-Chem model over Europe J. Karlický et al. 10.5194/asr-14-181-2017
- The role of precursor emissions on ground level ozone concentration during summer season in Poland K. Wałaszek et al. 10.1007/s10874-017-9371-y
- European NO<sub><i>x</i></sub> emissions in WRF-Chem derived from OMI: impacts on summertime surface ozone A. Visser et al. 10.5194/acp-19-11821-2019
- Air quality modelling in the Berlin–Brandenburg region using WRF-Chem v3.7.1: sensitivity to resolution of model grid and input data F. Kuik et al. 10.5194/gmd-9-4339-2016
- Simulation and evaluation of dust emissions with WRF-Chem (v3.7.1) and its relationship to the changing climate over East Asia from 1980 to 2015 H. Song et al. 10.1016/j.atmosenv.2017.08.051
- Comparison of WRF-CHEM Chemical Transport Model Calculations with Aircraft Measurements in Norilsk P. Antokhin et al. 10.1134/S1024856018040024
- Potential reductions in ambient NO 2 concentrations from meeting diesel vehicle emissions standards E. von Schneidemesser et al. 10.1088/1748-9326/aa8c84
- WRF and WRF-Chem v3.5.1 simulations of meteorology and black carbon concentrations in the Kathmandu Valley A. Mues et al. 10.5194/gmd-11-2067-2018
- Source attribution of European surface O<sub>3</sub> using a tagged O<sub>3</sub> mechanism A. Lupaşcu & T. Butler 10.5194/acp-19-14535-2019
- The influence of temperature on ozone production under varying NO<sub><i>x</i></sub> conditions – a modelling study J. Coates et al. 10.5194/acp-16-11601-2016
21 citations as recorded by crossref.
- Quantifying Uncertainties of Ground‐Level Ozone Within WRF‐Chem Simulations in the Mid‐Atlantic Region of the United States as a Response to Variability A. Thomas et al. 10.1029/2018MS001457
- EURODELTA-Trends, a multi-model experiment of air quality hindcast in Europe over 1990–2010 A. Colette et al. 10.5194/gmd-10-3255-2017
- Exploring the economy-wide effects of agriculture on air quality and health: Evidence from Europe E. Giannakis et al. 10.1016/j.scitotenv.2019.01.410
- Towards the coupling of a chemical transport model with a micro-scale Lagrangian modelling system for evaluation of urban NOx levels in a European hotspot G. Veratti et al. 10.1016/j.atmosenv.2020.117285
- Air quality modelling in the summer over the eastern Mediterranean using WRF-Chem: chemistry and aerosol mechanism intercomparison G. Georgiou et al. 10.5194/acp-18-1555-2018
- Multi-model comparison of urban heat island modelling approaches J. Karlický et al. 10.5194/acp-18-10655-2018
- Modeling the impact of a potential shale gas industry in Germany and the United Kingdom on ozone with WRF-Chem L. Weger et al. 10.1525/elementa.387
- Nepal Ambient Monitoring and Source Testing Experiment (NAMaSTE): emissions of particulate matter and sulfur dioxide from vehicles and brick kilns and their impacts on air quality in the Kathmandu Valley, Nepal M. Zhong et al. 10.5194/acp-19-8209-2019
- Trends of inorganic and organic aerosols and precursor gases in Europe: insights from the EURODELTA multi-model experiment over the 1990–2010 period G. Ciarelli et al. 10.5194/gmd-12-4923-2019
- WRF-Chem simulated surface ozone over south Asia during the pre-monsoon: effects of emission inventories and chemical mechanisms A. Sharma et al. 10.5194/acp-17-14393-2017
- Application of WRF-Chem to simulate air quality over Northern Vietnam T. Do et al. 10.1007/s11356-020-08913-y
- Impacts of nature-based solutions on the urban atmospheric environment: a case study for Eindhoven, The Netherlands A. Ascenso et al. 10.1016/j.ufug.2020.126870
- Validation of gas phase chemistry in the WRF-Chem model over Europe J. Karlický et al. 10.5194/asr-14-181-2017
- The role of precursor emissions on ground level ozone concentration during summer season in Poland K. Wałaszek et al. 10.1007/s10874-017-9371-y
- European NO<sub><i>x</i></sub> emissions in WRF-Chem derived from OMI: impacts on summertime surface ozone A. Visser et al. 10.5194/acp-19-11821-2019
- Air quality modelling in the Berlin–Brandenburg region using WRF-Chem v3.7.1: sensitivity to resolution of model grid and input data F. Kuik et al. 10.5194/gmd-9-4339-2016
- Simulation and evaluation of dust emissions with WRF-Chem (v3.7.1) and its relationship to the changing climate over East Asia from 1980 to 2015 H. Song et al. 10.1016/j.atmosenv.2017.08.051
- Comparison of WRF-CHEM Chemical Transport Model Calculations with Aircraft Measurements in Norilsk P. Antokhin et al. 10.1134/S1024856018040024
- Potential reductions in ambient NO 2 concentrations from meeting diesel vehicle emissions standards E. von Schneidemesser et al. 10.1088/1748-9326/aa8c84
- WRF and WRF-Chem v3.5.1 simulations of meteorology and black carbon concentrations in the Kathmandu Valley A. Mues et al. 10.5194/gmd-11-2067-2018
- Source attribution of European surface O<sub>3</sub> using a tagged O<sub>3</sub> mechanism A. Lupaşcu & T. Butler 10.5194/acp-19-14535-2019
Latest update: 25 Feb 2021
Short summary
Ground-level ozone is an air pollutant with adverse effects on human and ecosystem health and is also a climate forcer with a significant warming effect. This paper presents the setup and evaluation of a model for ozone air quality over Europe. Within the model evaluation, we compare the use of two commonly used photochemical schemes, and we conclude that uncertainties in the representation of chemistry are important to consider when using air quality models for policy applications.
Ground-level ozone is an air pollutant with adverse effects on human and ecosystem health and is...