Articles | Volume 21, issue 7
https://doi.org/10.5194/acp-21-5393-2021
© Author(s) 2021. 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-21-5393-2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
08 Apr 2021
Research article |
| 08 Apr 2021
| 08 Apr 2021
Using TROPOspheric Monitoring Instrument (TROPOMI) measurements and Weather Research and Forecasting (WRF) CO modelling to understand the contribution of meteorology and emissions to an extreme air pollution event in India
Ashique Vellalassery
Indian Institute of Science Education and Research (IISERB) Bhopal,
Bhopal, India
Dhanyalekshmi Pillai
CORRESPONDING AUTHOR
Indian Institute of Science Education and Research (IISERB) Bhopal,
Bhopal, India
Max Planck Partner Group (IISERB), Max Planck Society, Munich, Germany
Julia Marshall
Max Planck Institute for Biogeochemistry, Jena, Germany
now at: Deutsches Zentrum für Luft- und Raumfahrt, Institut
für Physik der Atmosphäre, Oberpfaffenhofen, Germany
Christoph Gerbig
Max Planck Institute for Biogeochemistry, Jena, Germany
Michael Buchwitz
Institute of Environmental Physics (IUP), University of Bremen,
Bremen, Germany
Oliver Schneising
Institute of Environmental Physics (IUP), University of Bremen,
Bremen, Germany
Aparnna Ravi
Indian Institute of Science Education and Research (IISERB) Bhopal,
Bhopal, India
Max Planck Partner Group (IISERB), Max Planck Society, Munich, Germany
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Cited
12 citations as recorded by crossref.
- Unveiling urban air quality dynamics during COVID-19: a Sentinel-5P TROPOMI hotspot analysis A. Mathew et al. 10.1038/s41598-024-72276-4
- Validation of methane and carbon monoxide from Sentinel-5 Precursor using TCCON and NDACC-IRWG stations M. Sha et al. 10.5194/amt-14-6249-2021
- Comparison of TROPOMI NO2, CO, HCHO, and SO2 data against ground‐level measurements in close proximity to large anthropogenic emission sources in the example of Ukraine M. Savenets et al. 10.1002/met.2108
- Impact of Lockdown on Air Quality During COVID-19 Pandemic: A Case Study of India P. Chinnasamy et al. 10.1007/s12524-022-01619-3
- Triple dip La-Nina, unorthodox circulation and unusual spin in air quality of India G. Beig et al. 10.1016/j.scitotenv.2024.170963
- Spatiotemporal distribution of air pollutants during a heat wave–induced forest fire event in Uttarakhand A. Sharma et al. 10.1007/s11356-023-29906-7
- Greenhouse gas emissions from agricultural residue burning have increased by 75 % since 2011 across India M. Deshpande et al. 10.1016/j.scitotenv.2023.166944
- Carbon Monoxide in Optically Thick Wildfire Smoke: Evaluating TROPOMI Using CU Airborne SOF Column Observations J. Rowe et al. 10.1021/acsearthspacechem.2c00048
- An Aerosol Retrieval Algorithm Over Land From Multispectral Single-Viewing Measurements of Intensity and Polarization Z. Ji et al. 10.1109/TGRS.2025.3562783
- Comparison of maritime transport influence of SO2 levels in Algeciras and Alcornocales Park (Spain) M. Rodríguez-García et al. 10.1016/j.trpro.2021.11.078
- A citizen science approach for air quality monitoring in a Kenyan informal development T. Manshur et al. 10.1016/j.cacint.2023.100105
- Potential of using CO2 observations over India in a regional carbon budget estimation by improving the modelling system V. Thilakan et al. 10.5194/acp-24-5315-2024
12 citations as recorded by crossref.
- Unveiling urban air quality dynamics during COVID-19: a Sentinel-5P TROPOMI hotspot analysis A. Mathew et al. 10.1038/s41598-024-72276-4
- Validation of methane and carbon monoxide from Sentinel-5 Precursor using TCCON and NDACC-IRWG stations M. Sha et al. 10.5194/amt-14-6249-2021
- Comparison of TROPOMI NO2, CO, HCHO, and SO2 data against ground‐level measurements in close proximity to large anthropogenic emission sources in the example of Ukraine M. Savenets et al. 10.1002/met.2108
- Impact of Lockdown on Air Quality During COVID-19 Pandemic: A Case Study of India P. Chinnasamy et al. 10.1007/s12524-022-01619-3
- Triple dip La-Nina, unorthodox circulation and unusual spin in air quality of India G. Beig et al. 10.1016/j.scitotenv.2024.170963
- Spatiotemporal distribution of air pollutants during a heat wave–induced forest fire event in Uttarakhand A. Sharma et al. 10.1007/s11356-023-29906-7
- Greenhouse gas emissions from agricultural residue burning have increased by 75 % since 2011 across India M. Deshpande et al. 10.1016/j.scitotenv.2023.166944
- Carbon Monoxide in Optically Thick Wildfire Smoke: Evaluating TROPOMI Using CU Airborne SOF Column Observations J. Rowe et al. 10.1021/acsearthspacechem.2c00048
- An Aerosol Retrieval Algorithm Over Land From Multispectral Single-Viewing Measurements of Intensity and Polarization Z. Ji et al. 10.1109/TGRS.2025.3562783
- Comparison of maritime transport influence of SO2 levels in Algeciras and Alcornocales Park (Spain) M. Rodríguez-García et al. 10.1016/j.trpro.2021.11.078
- A citizen science approach for air quality monitoring in a Kenyan informal development T. Manshur et al. 10.1016/j.cacint.2023.100105
- Potential of using CO2 observations over India in a regional carbon budget estimation by improving the modelling system V. Thilakan et al. 10.5194/acp-24-5315-2024
Latest update: 30 May 2025
Short summary
We investigate factors contributing to the severe and persistent air quality degradation in northern India that has worsened during every winter over the last decade. This is achieved by implementing atmospheric modelling and using recently available Sentinel-5 P satellite data for carbon monoxide. We see a minimal role of biomass burning, except for the state of Punjab. The aim is to focus on residential and industrial emission reduction strategies to tackle air pollution over northern India.
We investigate factors contributing to the severe and persistent air quality degradation in...
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