Articles | Volume 15, issue 10
https://doi.org/10.5194/gmd-15-4129-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/gmd-15-4129-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Model evaluation paper
| 
30 May 2022
Model evaluation paper |
| 30 May 2022
| 30 May 2022
Evaluation of WRF-Chem model (v3.9.1.1) real-time air quality forecasts over the Eastern Mediterranean
George K. Georgiou
Climate & Atmosphere Research Centre, The Cyprus Institute, Nicosia, Cyprus
Theodoros Christoudias
CORRESPONDING AUTHOR
Climate & Atmosphere Research Centre, The Cyprus Institute, Nicosia, Cyprus
Yiannis Proestos
Climate & Atmosphere Research Centre, The Cyprus Institute, Nicosia, Cyprus
Jonilda Kushta
Climate & Atmosphere Research Centre, The Cyprus Institute, Nicosia, Cyprus
Michael Pikridas
Climate & Atmosphere Research Centre, The Cyprus Institute, Nicosia, Cyprus
Jean Sciare
Climate & Atmosphere Research Centre, The Cyprus Institute, Nicosia, Cyprus
Chrysanthos Savvides
Department of Labour Inspection, Ministry of Labour, Welfare and Social Insurance, Nicosia, Cyprus
Jos Lelieveld
Atmospheric Chemistry Department, Max Planck Institute for Chemistry, Mainz, Germany
Climate & Atmosphere Research Centre, The Cyprus Institute, Nicosia, Cyprus
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Cited
12 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
- Contribution of local and surrounding anthropogenic emissions to a particulate matter pollution episode in Zhengzhou, Henan, China Y. Wang et al. 10.1038/s41598-023-35399-8
- On the uncertainty of anthropogenic aromatic volatile organic compound emissions: model evaluation and sensitivity analysis K. Oliveira et al. 10.5194/acp-24-7137-2024
- High-resolution WRF forecasts in the SmartAQ system: Evaluation of the meteorological forcing used for PMCAMx predictions in an urban area A. Pappa et al. 10.1016/j.atmosres.2023.107041
- Simulations of Summertime Ozone and PM2.5 Pollution in Fenwei Plain (FWP) Using the WRF-Chem Model Y. Wang et al. 10.3390/atmos14020292
- Assessment of future solar energy potential changes under the shared socio-economic pathways scenario 2–4.5 with WRF-chem: The roles of meteorology and emission Y. Zhang et al. 10.1016/j.atmosenv.2023.120232
- Projected wind and solar energy potential in the eastern Mediterranean and Middle East in 2050 P. Kiriakidis et al. 10.1016/j.scitotenv.2024.172120
- A gridded air quality forecast through fusing site-available machine learning predictions from RFSML v1.0 and chemical transport model results from GEOS-Chem v13.1.0 using the ensemble Kalman filter L. Fang et al. 10.5194/gmd-16-4867-2023
- Study on the Concentration of Top Air Pollutants in Xuzhou City in Winter 2020 Based on the WRF-Chem and ADMS-Urban Models W. Liu et al. 10.3390/atmos15010129
- Evaluation of WRF-Chem air quality forecasts during the AEROMMA and STAQS 2023 field campaigns J. Acdan et al. 10.1080/10962247.2024.2380333
- The Seasonality of PM and NO2 Concentrations in Slovakia and a Comparison with Chemical-Transport Model T. Šedivá & D. Štefánik 10.3390/atmos15101203
- Evaluation of WRF-Chem model (v3.9.1.1) real-time air quality forecasts over the Eastern Mediterranean G. Georgiou et al. 10.5194/gmd-15-4129-2022
11 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
- Contribution of local and surrounding anthropogenic emissions to a particulate matter pollution episode in Zhengzhou, Henan, China Y. Wang et al. 10.1038/s41598-023-35399-8
- On the uncertainty of anthropogenic aromatic volatile organic compound emissions: model evaluation and sensitivity analysis K. Oliveira et al. 10.5194/acp-24-7137-2024
- High-resolution WRF forecasts in the SmartAQ system: Evaluation of the meteorological forcing used for PMCAMx predictions in an urban area A. Pappa et al. 10.1016/j.atmosres.2023.107041
- Simulations of Summertime Ozone and PM2.5 Pollution in Fenwei Plain (FWP) Using the WRF-Chem Model Y. Wang et al. 10.3390/atmos14020292
- Assessment of future solar energy potential changes under the shared socio-economic pathways scenario 2–4.5 with WRF-chem: The roles of meteorology and emission Y. Zhang et al. 10.1016/j.atmosenv.2023.120232
- Projected wind and solar energy potential in the eastern Mediterranean and Middle East in 2050 P. Kiriakidis et al. 10.1016/j.scitotenv.2024.172120
- A gridded air quality forecast through fusing site-available machine learning predictions from RFSML v1.0 and chemical transport model results from GEOS-Chem v13.1.0 using the ensemble Kalman filter L. Fang et al. 10.5194/gmd-16-4867-2023
- Study on the Concentration of Top Air Pollutants in Xuzhou City in Winter 2020 Based on the WRF-Chem and ADMS-Urban Models W. Liu et al. 10.3390/atmos15010129
- Evaluation of WRF-Chem air quality forecasts during the AEROMMA and STAQS 2023 field campaigns J. Acdan et al. 10.1080/10962247.2024.2380333
- The Seasonality of PM and NO2 Concentrations in Slovakia and a Comparison with Chemical-Transport Model T. Šedivá & D. Štefánik 10.3390/atmos15101203
1 citations as recorded by crossref.
Latest update: 17 Nov 2024
Short summary
We evaluate the skill of the WRF-Chem model to perform high-resolution air quality forecasts (including ozone, nitrogen dioxide, and fine particulate matter) over the Eastern Mediterranean, during winter and summer. We compare the forecast output to observational data from background and urban locations and the forecast output from CAMS. WRF-Chem was found to forecast the concentrations and diurnal profiles of gas-phase pollutants in urban areas with higher accuracy.
We evaluate the skill of the WRF-Chem model to perform high-resolution air quality forecasts...
