Articles | Volume 22, issue 6
Atmos. Chem. Phys., 22, 4201–4236, 2022
https://doi.org/10.5194/acp-22-4201-2022
Atmos. Chem. Phys., 22, 4201–4236, 2022
https://doi.org/10.5194/acp-22-4201-2022
Research article
31 Mar 2022
Research article | 31 Mar 2022

Quantifying urban, industrial, and background changes in NO2 during the COVID-19 lockdown period based on TROPOMI satellite observations

Vitali Fioletov et al.

Related authors

The site-specified primary calibration conditions for the Brewer spectrophotometer
Xiaoyi Zhao, Vitali Fioletov, Alberto Redondas, Julian Gröbner, Luca Egli, Franz Zeilinger, Javier López-Solano, Alberto Berjón Arroyo, James Kerr, Eliane Maillard Barras, Herman Smit, Michael Brohart, Reno Sit, Akira Ogyu, Ihab Abboud, and Sum Chi Lee
Atmos. Meas. Tech. Discuss., https://doi.org/10.5194/amt-2023-8,https://doi.org/10.5194/amt-2023-8, 2023
Preprint under review for AMT
Short summary
Version 2 of the global catalogue of large anthropogenic and volcanic SO2 sources and emissions derived from satellite measurements
Vitali E. Fioletov, Chris A. McLinden, Debora Griffin, Ihab Abboud, Nickolay Krotkov, Peter J. T. Leonard, Can Li, Joanna Joiner, Nicolas Theys, and Simon Carn
Earth Syst. Sci. Data, 15, 75–93, https://doi.org/10.5194/essd-15-75-2023,https://doi.org/10.5194/essd-15-75-2023, 2023
Short summary
A new machine-learning-based analysis for improving satellite-retrieved atmospheric composition data: OMI SO2 as an example
Can Li, Joanna Joiner, Fei Liu, Nickolay A. Krotkov, Vitali Fioletov, and Chris McLinden
Atmos. Meas. Tech., 15, 5497–5514, https://doi.org/10.5194/amt-15-5497-2022,https://doi.org/10.5194/amt-15-5497-2022, 2022
Short summary
Global total ozone recovery trends attributed to ozone-depleting substance (ODS) changes derived from five merged ozone datasets
Mark Weber, Carlo Arosio, Melanie Coldewey-Egbers, Vitali E. Fioletov, Stacey M. Frith, Jeannette D. Wild, Kleareti Tourpali, John P. Burrows, and Diego Loyola
Atmos. Chem. Phys., 22, 6843–6859, https://doi.org/10.5194/acp-22-6843-2022,https://doi.org/10.5194/acp-22-6843-2022, 2022
Short summary
A sulfur dioxide Covariance-Based Retrieval Algorithm (COBRA): application to TROPOMI reveals new emission sources
Nicolas Theys, Vitali Fioletov, Can Li, Isabelle De Smedt, Christophe Lerot, Chris McLinden, Nickolay Krotkov, Debora Griffin, Lieven Clarisse, Pascal Hedelt, Diego Loyola, Thomas Wagner, Vinod Kumar, Antje Innes, Roberto Ribas, François Hendrick, Jonas Vlietinck, Hugues Brenot, and Michel Van Roozendael
Atmos. Chem. Phys., 21, 16727–16744, https://doi.org/10.5194/acp-21-16727-2021,https://doi.org/10.5194/acp-21-16727-2021, 2021
Short summary

Related subject area

Subject: Gases | Research Activity: Remote Sensing | Altitude Range: Troposphere | Science Focus: Chemistry (chemical composition and reactions)
Estimation of biomass burning emission of NO2 and CO from 2019–2020 Australia fires based on satellite observations
Nenghan Wan, Xiaozhen Xiong, Gerard J. Kluitenberg, J. M. Shawn Hutchinson, Robert Aiken, Haidong Zhao, and Xiaomao Lin
Atmos. Chem. Phys., 23, 711–724, https://doi.org/10.5194/acp-23-711-2023,https://doi.org/10.5194/acp-23-711-2023, 2023
Short summary
Quantifying daily NOx and CO2 emissions from Wuhan using satellite observations from TROPOMI and OCO-2
Qianqian Zhang, K. Folkert Boersma, Bin Zhao, Henk Eskes, Cuihong Chen, Haotian Zheng, and Xingying Zhang
Atmos. Chem. Phys., 23, 551–563, https://doi.org/10.5194/acp-23-551-2023,https://doi.org/10.5194/acp-23-551-2023, 2023
Short summary
Estimation of OH in urban plumes using TROPOMI-inferred NO2 ∕ CO
Srijana Lama, Sander Houweling, K. Folkert Boersma, Ilse Aben, Hugo A. C. Denier van der Gon, and Maarten C. Krol
Atmos. Chem. Phys., 22, 16053–16071, https://doi.org/10.5194/acp-22-16053-2022,https://doi.org/10.5194/acp-22-16053-2022, 2022
Short summary
Diagnosing ozone–NOx–VOC sensitivity and revealing causes of ozone increases in China based on 2013–2021 satellite retrievals
Jie Ren, Fangfang Guo, and Shaodong Xie
Atmos. Chem. Phys., 22, 15035–15047, https://doi.org/10.5194/acp-22-15035-2022,https://doi.org/10.5194/acp-22-15035-2022, 2022
Short summary
Towards sector-based attribution using intra-city variations in satellite-based emission ratios between CO2 and CO
Dien Wu, Junjie Liu, Paul O. Wennberg, Paul I. Palmer, Robert R. Nelson, Matthäus Kiel, and Annmarie Eldering
Atmos. Chem. Phys., 22, 14547–14570, https://doi.org/10.5194/acp-22-14547-2022,https://doi.org/10.5194/acp-22-14547-2022, 2022
Short summary

Cited articles

Ali, G., Abbas, S., Qamer, F. M., Wong, M. S., Rasul, G., Irteza, S. M., and Shahzad, N.: Environmental impacts of shifts in energy, emissions, and urban heat island during the COVID-19 lockdown across Pakistan, J. Clean. Prod., 291, 125806, https://doi.org/10.1016/j.jclepro.2021.125806, 2021. 
Ass, K. E., Eddaif, A., Radey, O., Aitzaouit, O., Yakoubi, M. E., and Chelhaoui, Y.: Effect of restricted emissions during Covid-19 lockdown on air quality in Rabat – Morocco, Global NEST Journal, 22, 348–353, https://doi.org/10.30955/gnj.003431, 2020. 
Aydın, S., Nakiyingi, B. A., Esmen, C., Güneysu, S., and Ejjada, M.: Environmental impact of coronavirus (COVID-19) from Turkish perceptive, Environ. Dev. Sustain., 23, 7573–7580, https://doi.org/10.1007/s10668-020-00933-5, 2020. 
Bao, R. and Zhang, A.: Does lockdown reduce air pollution? Evidence from 44 cities in northern China, Sci. Total Environ., 731, 139052, https://doi.org/10.1016/j.scitotenv.2020.139052, 2020. 
Bar, S., Parida, B. R., Mandal, S. P., Pandey, A. C., Kumar, N., and Mishra, B.: Impacts of partial to complete COVID-19 lockdown on NO2 and PM2.5 levels in major urban cities of Europe and USA, Cities, 117, 103308, https://doi.org/10.1016/j.cities.2021.103308, 2021.