Articles | Volume 25, issue 3
https://doi.org/10.5194/acp-25-1685-2025
© Author(s) 2025. 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-25-1685-2025
© Author(s) 2025. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
06 Feb 2025
Research article |
| 06 Feb 2025
| 06 Feb 2025
Evaluation of the WRF-Chem performance for the air pollutants over the United Arab Emirates
Yesobu Yarragunta
Environmental and Geophysical Sciences (ENGEOS) Lab, Khalifa University of Science and Technology, P.O. Box 127788, Abu Dhabi, United Arab Emirates
Environmental and Geophysical Sciences (ENGEOS) Lab, Khalifa University of Science and Technology, P.O. Box 127788, Abu Dhabi, United Arab Emirates
Ricardo Fonseca
Environmental and Geophysical Sciences (ENGEOS) Lab, Khalifa University of Science and Technology, P.O. Box 127788, Abu Dhabi, United Arab Emirates
Narendra Nelli
Environmental and Geophysical Sciences (ENGEOS) Lab, Khalifa University of Science and Technology, P.O. Box 127788, Abu Dhabi, United Arab Emirates
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Cited
17 citations as recorded by crossref.
- Modeling the impact of wildfire on air quality in Nepal using WRF-Chem and Sentinel-5P K. Shrestha et al. https://doi.org/10.1016/j.envpol.2025.126545
- Validation of a 10-meter wind in simulating a dust event in northwestern Iran mountains (October 28–31, 2017) E. Mobarak Hassan et al. https://doi.org/10.1016/j.aeolia.2025.101002
- Assessment of quasi-global surface ozone simulations with WRF-chem using multi-dataset evaluation L. Wu et al. https://doi.org/10.1016/j.envpol.2026.128230
- Integrating WRF-CHEM simulation with Random Forest algorithm to evaluate the spatio-temporal variation of PM10 in Western Himalayan region of India H. Tripathi et al. https://doi.org/10.1080/02786826.2026.2666422
- From cause to consequence: examining the historic April 2024 rainstorm in the United Arab Emirates through the lens of climate change D. Francis et al. https://doi.org/10.1038/s41612-025-01073-1
- Systematic Review and Meta-Analysis of Urban Air Quality in the Arabian Peninsula E. Irankunda et al. https://doi.org/10.3390/atmos16080990
- Impact of AIFS and GFS Initialization on WRF Operational Forecasts During High-Impact Storms in Spain (2025) R. Arasa Agudo et al. https://doi.org/10.3390/earth7030077
- Short-term association of ground-level ozone with 50,000 hospital admissions in Delhi: A fused data and distributed lag modeling study P. Parmar et al. https://doi.org/10.1016/j.uclim.2026.102958
- WRF-Chem simulations of CO2 over Belgium and surrounding countries assessed by ground-based measurements J. Wang et al. https://doi.org/10.5194/acp-26-3541-2026
- Seasonality of dust optical depth over Arabian Peninsula using MIDAS data A. Alsubhi & Y. Alsubhi https://doi.org/10.1080/01431161.2025.2496534
- A Novel Spatio-Temporal Graph Convolutional Network with Attention Mechanism for PM2.5 Concentration Prediction X. Guan et al. https://doi.org/10.3390/make7030088
- The June 2024 middle east compound heatwave: Dynamical drivers and AI-weather forecast models' evaluation N. Nelli et al. https://doi.org/10.1016/j.atmosres.2026.108779
- A pan-European WRF–CMAQ framework for air quality assessment: Model evaluation and policy baseline N. Traka et al. https://doi.org/10.1016/j.apr.2026.102992
- From sensitivity regimes to policy action: Evaluating EKMA curve effectiveness with WRF-Chem, OBM, and machine learning X. Ye et al. https://doi.org/10.1016/j.atmosenv.2025.121689
- Global high-resolution ultrafine particle number concentrations through data fusion with machine learning P. Georgiades et al. https://doi.org/10.1038/s41597-025-06055-9
- Modeling and Analysis of Long-Range Dust Transport from the Sahara and Arabian Deserts To West Asia Using WRF-Chem and Remote Sensing: Insights from the Spring 2015 Dust Event Y. Aydin et al. https://doi.org/10.1007/s41748-026-01043-4
- Understanding the elevated PM2.5 pollution in the Middle East during May 2022: Insights from numerical simulations I. Sulaymon et al. https://doi.org/10.1016/j.atmosres.2025.108527
17 citations as recorded by crossref.
- Modeling the impact of wildfire on air quality in Nepal using WRF-Chem and Sentinel-5P K. Shrestha et al. https://doi.org/10.1016/j.envpol.2025.126545
- Validation of a 10-meter wind in simulating a dust event in northwestern Iran mountains (October 28–31, 2017) E. Mobarak Hassan et al. https://doi.org/10.1016/j.aeolia.2025.101002
- Assessment of quasi-global surface ozone simulations with WRF-chem using multi-dataset evaluation L. Wu et al. https://doi.org/10.1016/j.envpol.2026.128230
- Integrating WRF-CHEM simulation with Random Forest algorithm to evaluate the spatio-temporal variation of PM10 in Western Himalayan region of India H. Tripathi et al. https://doi.org/10.1080/02786826.2026.2666422
- From cause to consequence: examining the historic April 2024 rainstorm in the United Arab Emirates through the lens of climate change D. Francis et al. https://doi.org/10.1038/s41612-025-01073-1
- Systematic Review and Meta-Analysis of Urban Air Quality in the Arabian Peninsula E. Irankunda et al. https://doi.org/10.3390/atmos16080990
- Impact of AIFS and GFS Initialization on WRF Operational Forecasts During High-Impact Storms in Spain (2025) R. Arasa Agudo et al. https://doi.org/10.3390/earth7030077
- Short-term association of ground-level ozone with 50,000 hospital admissions in Delhi: A fused data and distributed lag modeling study P. Parmar et al. https://doi.org/10.1016/j.uclim.2026.102958
- WRF-Chem simulations of CO2 over Belgium and surrounding countries assessed by ground-based measurements J. Wang et al. https://doi.org/10.5194/acp-26-3541-2026
- Seasonality of dust optical depth over Arabian Peninsula using MIDAS data A. Alsubhi & Y. Alsubhi https://doi.org/10.1080/01431161.2025.2496534
- A Novel Spatio-Temporal Graph Convolutional Network with Attention Mechanism for PM2.5 Concentration Prediction X. Guan et al. https://doi.org/10.3390/make7030088
- The June 2024 middle east compound heatwave: Dynamical drivers and AI-weather forecast models' evaluation N. Nelli et al. https://doi.org/10.1016/j.atmosres.2026.108779
- A pan-European WRF–CMAQ framework for air quality assessment: Model evaluation and policy baseline N. Traka et al. https://doi.org/10.1016/j.apr.2026.102992
- From sensitivity regimes to policy action: Evaluating EKMA curve effectiveness with WRF-Chem, OBM, and machine learning X. Ye et al. https://doi.org/10.1016/j.atmosenv.2025.121689
- Global high-resolution ultrafine particle number concentrations through data fusion with machine learning P. Georgiades et al. https://doi.org/10.1038/s41597-025-06055-9
- Modeling and Analysis of Long-Range Dust Transport from the Sahara and Arabian Deserts To West Asia Using WRF-Chem and Remote Sensing: Insights from the Spring 2015 Dust Event Y. Aydin et al. https://doi.org/10.1007/s41748-026-01043-4
- Understanding the elevated PM2.5 pollution in the Middle East during May 2022: Insights from numerical simulations I. Sulaymon et al. https://doi.org/10.1016/j.atmosres.2025.108527
Saved (final revised paper)
Latest update: 09 Jun 2026
Short summary
This study evaluates the Weather Research and Forecasting model with chemistry (WRF-Chem) in simulating air pollutants over the United Arab Emirates using satellite observations. The model accurately captured ozone and carbon monoxide but showed discrepancies for nitrogen dioxide. WRF-Chem was moderately correlated with aerosol optical depth observations and performed well in simulating meteorological parameters, demonstrating its suitability for atmospheric modelling.
This study evaluates the Weather Research and Forecasting model with chemistry (WRF-Chem) in...
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