Articles | Volume 24, issue 4
https://doi.org/10.5194/acp-24-2239-2024
© Author(s) 2024. 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-24-2239-2024
© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
22 Feb 2024
Research article |
| 22 Feb 2024
| 22 Feb 2024
Evaluation of WRF-Chem-simulated meteorology and aerosols over northern India during the severe pollution episode of 2016
School of GeoSciences, University of Edinburgh, Crew Building, Edinburgh, EH9 3FF, UK
David S. Stevenson
CORRESPONDING AUTHOR
School of GeoSciences, University of Edinburgh, Crew Building, Edinburgh, EH9 3FF, UK
Mathew R. Heal
School of Chemistry, University of Edinburgh, Joseph Black Building, Edinburgh, EH9 3FJ, UK
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Cited
18 citations as recorded by crossref.
- Enhancing Air Pollution Forecasts in Cities by Characterizing the Urban Heat Island Effects on Planetary Boundary Layers L. Matak & M. Momen 10.1016/j.atmosres.2025.107923
- Investigating the role of aerosol wet scavenging on global horizontal irradiance simulation in the WRF-Chem-solar model S. Wang et al. 10.1016/j.apenergy.2025.126062
- Emission time and amount of crop residue burning play critical role on PM2.5 variability during October–November in northwestern India during 2022–2024 A. Biswal et al. 10.1039/D5EA00052A
- Understanding the elevated PM2.5 pollution in the Middle East during May 2022: Insights from numerical simulations I. Sulaymon et al. 10.1016/j.atmosres.2025.108527
- Efficacy of machine learning in simulating precipitation and its extremes over the capital cities in North Indian states A. Tandon et al. 10.1038/s41598-024-84360-w
- COVID-19 lockdown was insufficient to bring India’s PM2.5 levels below national standards I. Nandi et al. 10.1088/2515-7620/add3d4
- Hotspot driven air pollution during crop residue burning season in the Indo-Gangetic Plain, India U. Saharan et al. 10.1016/j.envpol.2024.124013
- Assessment of the Statistical Performance of Chemical Transport Model Studies in India R. Shandilya et al. 10.1021/acsestair.4c00072
- Validation and Spatial–Temporal Variability of Particulate Matter in Urban area Using WRF-Chem with Local and Global Emission Inventories Y. Rami et al. 10.1007/s11270-024-07540-4
- Validation of a 10-meter wind in simulating a dust event in northwestern Iran mountains (October 28–31, 2017) E. Mobarak Hassan et al. 10.1016/j.aeolia.2025.101002
- Assessing the accuracy of meteorological transport model ensemble towards estimating Indian carbon fluxes T. Anna Mathew et al. 10.1088/2752-5295/adffa7
- Evaluating the role of microphysical schemes in a cloud-resolving scale on simulation of heavy rainfall events near the coastal region of southern India K. Chanchal & K. Singh 10.1007/s40808-025-02595-6
- Aerosol type classification and its temporal distribution in Kanpur using ground-based remote sensing N. Sharma et al. 10.1016/j.jastp.2024.106366
- Black carbon pollution over India simulated with recent emission inventories and WRF-CHEM model R. Sheoran et al. 10.1016/j.atmosres.2025.107931
- Advancements in satellite-based methane point source monitoring: A systematic review F. Mohammadimanesh et al. 10.1016/j.isprsjprs.2025.03.020
- Spatial–temporal patterns in anthropogenic and biomass burning emission contributions to air pollution and mortality burden changes in India from 1995 to 2014 B. Luo et al. 10.5194/acp-25-4767-2025
- Comprehending dust aerosol impacts on cloud and rainfall distribution during a ‘dust-rain’ storm through WRF-Chem simulations A. Sarkar & J. Panda 10.1007/s11069-025-07438-2
- Quantifying the dominant sources influencing the 2016 particulate matter pollution episode over northern India P. Agarwal et al. 10.1039/D3EA00174A
18 citations as recorded by crossref.
- Enhancing Air Pollution Forecasts in Cities by Characterizing the Urban Heat Island Effects on Planetary Boundary Layers L. Matak & M. Momen 10.1016/j.atmosres.2025.107923
- Investigating the role of aerosol wet scavenging on global horizontal irradiance simulation in the WRF-Chem-solar model S. Wang et al. 10.1016/j.apenergy.2025.126062
- Emission time and amount of crop residue burning play critical role on PM2.5 variability during October–November in northwestern India during 2022–2024 A. Biswal et al. 10.1039/D5EA00052A
- Understanding the elevated PM2.5 pollution in the Middle East during May 2022: Insights from numerical simulations I. Sulaymon et al. 10.1016/j.atmosres.2025.108527
- Efficacy of machine learning in simulating precipitation and its extremes over the capital cities in North Indian states A. Tandon et al. 10.1038/s41598-024-84360-w
- COVID-19 lockdown was insufficient to bring India’s PM2.5 levels below national standards I. Nandi et al. 10.1088/2515-7620/add3d4
- Hotspot driven air pollution during crop residue burning season in the Indo-Gangetic Plain, India U. Saharan et al. 10.1016/j.envpol.2024.124013
- Assessment of the Statistical Performance of Chemical Transport Model Studies in India R. Shandilya et al. 10.1021/acsestair.4c00072
- Validation and Spatial–Temporal Variability of Particulate Matter in Urban area Using WRF-Chem with Local and Global Emission Inventories Y. Rami et al. 10.1007/s11270-024-07540-4
- Validation of a 10-meter wind in simulating a dust event in northwestern Iran mountains (October 28–31, 2017) E. Mobarak Hassan et al. 10.1016/j.aeolia.2025.101002
- Assessing the accuracy of meteorological transport model ensemble towards estimating Indian carbon fluxes T. Anna Mathew et al. 10.1088/2752-5295/adffa7
- Evaluating the role of microphysical schemes in a cloud-resolving scale on simulation of heavy rainfall events near the coastal region of southern India K. Chanchal & K. Singh 10.1007/s40808-025-02595-6
- Aerosol type classification and its temporal distribution in Kanpur using ground-based remote sensing N. Sharma et al. 10.1016/j.jastp.2024.106366
- Black carbon pollution over India simulated with recent emission inventories and WRF-CHEM model R. Sheoran et al. 10.1016/j.atmosres.2025.107931
- Advancements in satellite-based methane point source monitoring: A systematic review F. Mohammadimanesh et al. 10.1016/j.isprsjprs.2025.03.020
- Spatial–temporal patterns in anthropogenic and biomass burning emission contributions to air pollution and mortality burden changes in India from 1995 to 2014 B. Luo et al. 10.5194/acp-25-4767-2025
- Comprehending dust aerosol impacts on cloud and rainfall distribution during a ‘dust-rain’ storm through WRF-Chem simulations A. Sarkar & J. Panda 10.1007/s11069-025-07438-2
- Quantifying the dominant sources influencing the 2016 particulate matter pollution episode over northern India P. Agarwal et al. 10.1039/D3EA00174A
Latest update: 10 Oct 2025
Short summary
Air pollution levels across northern India are amongst some of the worst in the world, with episodic and hazardous haze events. Here, the ability of the WRF-Chem model to predict air quality over northern India is assessed against several datasets. Whilst surface wind speed and particle pollution peaks are over- and underestimated, respectively, meteorology and aerosol trends are adequately captured, and we conclude it is suitable for investigating severe particle pollution events.
Air pollution levels across northern India are amongst some of the worst in the world, with...
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