Articles | Volume 21, issue 24
https://doi.org/10.5194/acp-21-18333-2021
© 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-21-18333-2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Changes in satellite retrievals of atmospheric composition over eastern China during the 2020 COVID-19 lockdowns
Robert D. Field
CORRESPONDING AUTHOR
NASA Goddard Institute for Space Studies, 2880 Broadway, New York, NY, 10025, USA
Department of Applied Physics and Applied Mathematics, Columbia University, 2880 Broadway, New York, NY, 10025, USA
Jonathan E. Hickman
NASA Goddard Institute for Space Studies, 2880 Broadway, New York, NY, 10025, USA
Igor V. Geogdzhayev
NASA Goddard Institute for Space Studies, 2880 Broadway, New York, NY, 10025, USA
Department of Applied Physics and Applied Mathematics, Columbia University, 2880 Broadway, New York, NY, 10025, USA
Kostas Tsigaridis
NASA Goddard Institute for Space Studies, 2880 Broadway, New York, NY, 10025, USA
Center for Climate Systems Research, Columbia University, 2880 Broadway, New York, NY, 10025, USA
Susanne E. Bauer
NASA Goddard Institute for Space Studies, 2880 Broadway, New York, NY, 10025, USA
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Cited
11 citations as recorded by crossref.
- Assessment of Lockdown Effectiveness during COVID-19 Pandemic Using Air Pollution Data in Armenia in March–June 2019 and 2020: A Cross-Sectional Study A. Sargsyan et al. 10.3390/atmos13101563
- Variations of Urban NO2 Pollution during the COVID-19 Outbreak and Post-Epidemic Era in China: A Synthesis of Remote Sensing and In Situ Measurements C. Zhao et al. 10.3390/rs14020419
- Process-Level Quantification on Opposite PM2.5 Changes during the COVID-19 Lockdown over the North China Plain L. Chen et al. 10.1021/acs.estlett.3c00490
- How well do Earth system models reproduce the observed aerosol response to rapid emission reductions? A COVID-19 case study R. Digby et al. 10.5194/acp-24-2077-2024
- Emissions Background, Climate, and Season Determine the Impacts of Past and Future Pandemic Lockdowns on Atmospheric Composition and Climate J. Hickman et al. 10.1029/2022EF002959
- Ground-level gaseous pollutants (NO2, SO2, and CO) in China: daily seamless mapping and spatiotemporal variations J. Wei et al. 10.5194/acp-23-1511-2023
- Secondary PM<sub>2.5</sub> decreases significantly less than NO<sub>2</sub> emission reductions during COVID lockdown in Germany V. Balamurugan et al. 10.5194/acp-22-7105-2022
- A CNN-SVR model for NO2 profile prediction based on MAX-DOAS observations: The influence of Chinese New Year overlapping the 2020 COVID-19 lockdown on vertical distributions of tropospheric NO2 in Nanjing, China X. Tian et al. 10.1016/j.jes.2023.09.007
- Global fine-scale changes in ambient NO2 during COVID-19 lockdowns M. Cooper et al. 10.1038/s41586-021-04229-0
- The Climate Response to Emissions Reductions Due to COVID‐19: Initial Results From CovidMIP C. Jones et al. 10.1029/2020GL091883
- Quantifying the Impact of the COVID-19 Pandemic Restrictions on CO, CO2, and CH4 in Downtown Toronto Using Open-Path Fourier Transform Spectroscopy Y. You et al. 10.3390/atmos12070848
8 citations as recorded by crossref.
- Assessment of Lockdown Effectiveness during COVID-19 Pandemic Using Air Pollution Data in Armenia in March–June 2019 and 2020: A Cross-Sectional Study A. Sargsyan et al. 10.3390/atmos13101563
- Variations of Urban NO2 Pollution during the COVID-19 Outbreak and Post-Epidemic Era in China: A Synthesis of Remote Sensing and In Situ Measurements C. Zhao et al. 10.3390/rs14020419
- Process-Level Quantification on Opposite PM2.5 Changes during the COVID-19 Lockdown over the North China Plain L. Chen et al. 10.1021/acs.estlett.3c00490
- How well do Earth system models reproduce the observed aerosol response to rapid emission reductions? A COVID-19 case study R. Digby et al. 10.5194/acp-24-2077-2024
- Emissions Background, Climate, and Season Determine the Impacts of Past and Future Pandemic Lockdowns on Atmospheric Composition and Climate J. Hickman et al. 10.1029/2022EF002959
- Ground-level gaseous pollutants (NO2, SO2, and CO) in China: daily seamless mapping and spatiotemporal variations J. Wei et al. 10.5194/acp-23-1511-2023
- Secondary PM<sub>2.5</sub> decreases significantly less than NO<sub>2</sub> emission reductions during COVID lockdown in Germany V. Balamurugan et al. 10.5194/acp-22-7105-2022
- A CNN-SVR model for NO2 profile prediction based on MAX-DOAS observations: The influence of Chinese New Year overlapping the 2020 COVID-19 lockdown on vertical distributions of tropospheric NO2 in Nanjing, China X. Tian et al. 10.1016/j.jes.2023.09.007
3 citations as recorded by crossref.
- Global fine-scale changes in ambient NO2 during COVID-19 lockdowns M. Cooper et al. 10.1038/s41586-021-04229-0
- The Climate Response to Emissions Reductions Due to COVID‐19: Initial Results From CovidMIP C. Jones et al. 10.1029/2020GL091883
- Quantifying the Impact of the COVID-19 Pandemic Restrictions on CO, CO2, and CH4 in Downtown Toronto Using Open-Path Fourier Transform Spectroscopy Y. You et al. 10.3390/atmos12070848
Latest update: 13 Dec 2024
Short summary
In this study, we examined changes in atmospheric composition over China from satellite measurements during the COVID lockdowns of 2020. We found that interpreting changes in 2020 depended strongly on the background period and whether trends were accounted for. In most cases, pollution levels in 2020 were lower than during the previous few years when pollution levels appear to have stabilized.
In this study, we examined changes in atmospheric composition over China from satellite...
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