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

Vellalassery, Ashique; Pillai, Dhanyalekshmi; Marshall, Julia; Gerbig, Christoph; Buchwitz, Michael; Schneising, Oliver; Ravi, Aparnna

doi:https://doi.org/10.5194/acp-21-5393-2021

Articles | Volume 21, issue 7

Atmos. Chem. Phys., 21, 5393–5414, 2021

https://doi.org/10.5194/acp-21-5393-2021

© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.

Atmos. Chem. Phys., 21, 5393–5414, 2021

https://doi.org/10.5194/acp-21-5393-2021

© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.

Articles | Volume 21, issue 7

Research article 08 Apr 2021

Research article | 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 et al.

Supplement

https://doi.org/10.5194/acp-21-5393-2021-supplement

Data sets

S5P TROPOMI/WFMD data O. Schneising, M. Buchwitz, M. Reuter, H. Bovensmann, J. P. Burrows, T. Borsdorff, N. M. Deutscher, D. G. Feist, D. W. T. Griffith, F. Hase, C. Hermans, L. T. Iraci, R. Kivi, J. Landgraf, I. Morino, J. Notholt, C. Petri, D. F. Pollard, S. Roche, K. Shiomi, K. Strong, R. Sussmann, V. A. Velazco, T. Warneke, and D. Wunch http://www.iup.uni-bremen.de/carbon_ghg/products/tropomi_wfmd/

S5P TROPOMI/SICOR operational data T. Borsdorff, J. Aan De Brugh, H. Hu, O. Hasekamp, R. Sussmann, M. Rettinger, F. Hase, J. Gross, M. Schneider, O. Garcia, W. Stremme, M. Grutter, Di. G. Feist, S. G. Arnold, M. De Mazière, M. Kumar Sha, D. F. Pollard, M. Kiel, C. Roehl, P. O. Wennberg, G. C. Toon, and J. Landgraf https://scihub.copernicus.eu/

Central Control Room for Air Quality Management - All India Central Pollution Control Board https://app.cpcbccr.com/ccr/#/caaqm-dashboard-all/caaqm-landing/data

Model code and software

WRF-Chem source code (version 3.9.1.1) R. Ahmadov, J. Schnell, G. Grell, K. Y. Wong, and L. Zhang https://ruc.noaa.gov/wrf/wrf-chem/

Video abstract

TROPOMI measurements and WRF CO modelling to understand extreme air pollution events in India Ashique Vellalassery and Dhanyalekshmi Pillai https://doi.org/10.5446/50921

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.