Articles | Volume 22, issue 15
https://doi.org/10.5194/acp-22-10319-2022
© Author(s) 2022. 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-22-10319-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
12 Aug 2022
Research article |
| 12 Aug 2022
| 12 Aug 2022
Air quality impacts of COVID-19 lockdown measures detected from space using high spatial resolution observations of multiple trace gases from Sentinel-5P/TROPOMI
Pieternel F. Levelt
Royal Netherlands Meteorological Institute (KNMI), De Bilt, 3731 GA,
the Netherlands
University of Technology Delft (TU Delft), Delft, 2628 CN, the
Netherlands
Royal Netherlands Meteorological Institute (KNMI), De Bilt, 3731 GA,
the Netherlands
Ilse Aben
Netherlands Institute for Space Research (SRON), Utrecht, 3584 CA, the Netherlands
Maite Bauwens
Royal Belgian Institute for Space Aeronomy (BIRA-IASB), Brussels,
1180, Belgium
Tobias Borsdorff
Netherlands Institute for Space Research (SRON), Utrecht, 3584 CA, the Netherlands
Isabelle De Smedt
Royal Belgian Institute for Space Aeronomy (BIRA-IASB), Brussels,
1180, Belgium
Henk J. Eskes
Royal Netherlands Meteorological Institute (KNMI), De Bilt, 3731 GA,
the Netherlands
Christophe Lerot
Royal Belgian Institute for Space Aeronomy (BIRA-IASB), Brussels,
1180, Belgium
Diego G. Loyola
German Aerospace Centre (DLR), Oberpfaffenhofen, 82234 Wessling,
Germany
Fabian Romahn
German Aerospace Centre (DLR), Oberpfaffenhofen, 82234 Wessling,
Germany
Trissevgeni Stavrakou
Royal Belgian Institute for Space Aeronomy (BIRA-IASB), Brussels,
1180, Belgium
Nicolas Theys
Royal Belgian Institute for Space Aeronomy (BIRA-IASB), Brussels,
1180, Belgium
Michel Van Roozendael
Royal Belgian Institute for Space Aeronomy (BIRA-IASB), Brussels,
1180, Belgium
J. Pepijn Veefkind
Royal Netherlands Meteorological Institute (KNMI), De Bilt, 3731 GA,
the Netherlands
University of Technology Delft (TU Delft), Delft, 2628 CN, the
Netherlands
Tijl Verhoelst
Royal Belgian Institute for Space Aeronomy (BIRA-IASB), Brussels,
1180, Belgium
Viewed
Total article views: 4,444 (including HTML, PDF, and XML)
Cumulative views and downloads
(calculated since 19 Jul 2021)
| HTML | XML | Total | BibTeX | EndNote | |
|---|---|---|---|---|---|
| 2,908 | 1,479 | 57 | 4,444 | 57 | 51 |
- HTML: 2,908
- PDF: 1,479
- XML: 57
- Total: 4,444
- BibTeX: 57
- EndNote: 51
Total article views: 2,650 (including HTML, PDF, and XML)
Cumulative views and downloads
(calculated since 12 Aug 2022)
| HTML | XML | Total | BibTeX | EndNote | |
|---|---|---|---|---|---|
| 1,988 | 630 | 32 | 2,650 | 40 | 39 |
- HTML: 1,988
- PDF: 630
- XML: 32
- Total: 2,650
- BibTeX: 40
- EndNote: 39
Total article views: 1,794 (including HTML, PDF, and XML)
Cumulative views and downloads
(calculated since 19 Jul 2021)
| HTML | XML | Total | BibTeX | EndNote | |
|---|---|---|---|---|---|
| 920 | 849 | 25 | 1,794 | 17 | 12 |
- HTML: 920
- PDF: 849
- XML: 25
- Total: 1,794
- BibTeX: 17
- EndNote: 12
Viewed (geographical distribution)
Total article views: 4,444 (including HTML, PDF, and XML)
Thereof 4,534 with geography defined
and -90 with unknown origin.
Total article views: 2,650 (including HTML, PDF, and XML)
Thereof 2,694 with geography defined
and -44 with unknown origin.
Total article views: 1,794 (including HTML, PDF, and XML)
Thereof 1,840 with geography defined
and -46 with unknown origin.
| Country | # | Views | % |
|---|
| Country | # | Views | % |
|---|
| Country | # | Views | % |
|---|
| Total: | 0 |
| HTML: | 0 |
| PDF: | 0 |
| XML: | 0 |
- 1
1
| Total: | 0 |
| HTML: | 0 |
| PDF: | 0 |
| XML: | 0 |
- 1
1
| Total: | 0 |
| HTML: | 0 |
| PDF: | 0 |
| XML: | 0 |
- 1
1
Cited
37 citations as recorded by crossref.
- Estimation of NO2 emission strengths over Riyadh and Madrid from space from a combination of wind-assigned anomalies and a machine learning technique Q. Tu et al. 10.5194/amt-16-2237-2023
- Evaluating CHASER V4.0 global formaldehyde (HCHO) simulations using satellite, aircraft, and ground-based remote-sensing observations H. Hoque et al. 10.5194/gmd-17-5545-2024
- Trans-boundary spatio-temporal analysis of Sentinel 5P tropospheric nitrogen dioxide and total carbon monoxide columns over Punjab and Haryana Regions with COVID-19 lockdown impact Y. Shabbir et al. 10.1007/s10661-024-12458-9
- Air Pollution Patterns Mapping of SO2, NO2, and CO Derived from TROPOMI over Central-East Europe B. Wieczorek 10.3390/rs15061565
- Nitrogen oxides emissions from selected cities in North America, Europe, and East Asia observed by the TROPOspheric Monitoring Instrument (TROPOMI) before and after the COVID-19 pandemic C. Lonsdale & K. Sun 10.5194/acp-23-8727-2023
- Maritime sector contributions on NO2 surface concentrations in major ports of the Mediterranean Basin A. Pseftogkas et al. 10.1016/j.apr.2024.102228
- A Multivariate Geostatistical Framework to Assess the Spatio-Temporal Dynamics of Air Pollution and Land Surface Temperature in Bangladesh S. Rahaman et al. 10.1007/s41748-024-00418-9
- Estimating surface NO2 concentrations over Europe using Sentinel-5P TROPOMI observations and Machine Learning S. Shetty et al. 10.1016/j.rse.2024.114321
- Air quality and urban climate improvements in the world’s most populated region during the COVID-19 pandemic A. Damiani et al. 10.1088/1748-9326/ad25a2
- Monitoring Trends of SO2 level Using Time-Series Sentinel-5 Images Based on Google Earth Engine B. Muslimbekov et al. 10.1051/e3sconf/202456303068
- Nitrogen dioxide spatiotemporal variations in the complex urban environment of Athens, Greece T. Drosoglou et al. 10.1016/j.atmosenv.2023.120115
- Peculiar COVID-19 effects in the Greater Tokyo Area revealed by spatiotemporal variabilities of tropospheric gases and light-absorbing aerosols A. Damiani et al. 10.5194/acp-22-12705-2022
- Unbalanced emission reductions of different species and sectors in China during COVID-19 lockdown derived by multi-species surface observation assimilation L. Kong et al. 10.5194/acp-23-6217-2023
- International maritime regulation decreases sulfur dioxide but increases nitrogen oxide emissions in the North and Baltic Sea W. Van Roy et al. 10.1038/s43247-023-01050-7
- Short-term trends of air quality and pollutant concentrations in Nigeria from 2018–2022 using tropospheric sentinel-5P and 3A/B satellite data D. Omokpariola et al. 10.1007/s42452-024-05856-8
- Comparison of PM10 Levels in Three of the Most Polluted Cities in Romania over the Periods Related to Lower Traffic—Implications for Human Health G. Burghelea et al. 10.3390/app14188169
- 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
- Footprints of COVID-19 on PM2.5/PM10 Ratio in a Brazilian Tropical Metropolis R. Tavella et al. 10.1007/s41810-024-00213-z
- Assessment of tropospheric NO2 concentrations over greater Doha using Sentinel-5 TROPOspheric monitoring instrument (TROPOMI) satellite data: Temporal analysis, 2018–2023 Y. Mohieldeen et al. 10.1016/j.envpol.2024.124995
- Quantifying the diurnal variation in atmospheric NO2 from Geostationary Environment Monitoring Spectrometer (GEMS) observations D. Edwards et al. 10.5194/acp-24-8943-2024
- NOx emissions in France in 2019–2021 as estimated by the high-spatial-resolution assimilation of TROPOMI NO2 observations R. Plauchu et al. 10.5194/acp-24-8139-2024
- Air Quality Index (AQI) Did Not Improve during the COVID-19 Lockdown in Shanghai, China, in 2022, Based on Ground and TROPOMI Observations Q. Ma et al. 10.3390/rs15051295
- Applications of Sentinel-5P TROPOMI Satellite Sensor: A Review A. Reshi et al. 10.1109/JSEN.2024.3355714
- Air Pollution Inequality in the Denver Metroplex and its Relationship to Historical Redlining A. Bradley et al. 10.1021/acs.est.3c03230
- Aggravated surface O3 pollution primarily driven by meteorological variations in China during the 2020 COVID-19 pandemic lockdown period Z. Lu et al. 10.5194/acp-24-7793-2024
- Air quality monitoring in Ukraine during 2022 military conflict using Sentinel-5P imagery M. Mehrabi et al. 10.1007/s11869-023-01488-w
- Efficacy of China’s clean air actions to tackle PM2.5 pollution between 2013 and 2020 G. Geng et al. 10.1038/s41561-024-01540-z
- Tracking air quality trends and vehicle traffic dynamics at urban scale using satellite and ground data before and after the COVID-19 outbreak D. De Santis et al. 10.1016/j.scitotenv.2023.165464
- Quantifying urban, industrial, and background changes in NO<sub>2</sub> during the COVID-19 lockdown period based on TROPOMI satellite observations V. Fioletov et al. 10.5194/acp-22-4201-2022
- A sulfur dioxide Covariance-Based Retrieval Algorithm (COBRA): application to TROPOMI reveals new emission sources N. Theys et al. 10.5194/acp-21-16727-2021
- Glyoxal tropospheric column retrievals from TROPOMI – multi-satellite intercomparison and ground-based validation C. Lerot et al. 10.5194/amt-14-7775-2021
- Comparative assessment of TROPOMI and OMI formaldehyde observations and validation against MAX-DOAS network column measurements I. De Smedt et al. 10.5194/acp-21-12561-2021
- Spatial analysis of COVID-19 spread in Europe using "center of gravity" concept O. Yavorska & R. Bun 10.23939/mmc2022.01.130
- Leveraging Machine Learning and Geo-Tagged Citizen Science Data to Disentangle the Factors of Avian Mortality Events at the Species Level A. Yang et al. 10.3390/rs14102369
- Evaluating Impact of Ship Emissions on Atmospheric Environment - Air Quality Improvement Triggered by 2020 Global Sulphur Cap K. Yamaji & M. Tauchi 10.5988/jime.57.601
- Variability of nitrogen oxide emission fluxes and lifetimes estimated from Sentinel-5P TROPOMI observations K. Lange et al. 10.5194/acp-22-2745-2022
- Anomalies of O3, CO, C2H2, H2CO, and C2H6 detected with multiple ground-based Fourier-transform infrared spectrometers and assessed with model simulation in 2020: COVID-19 lockdowns versus natural variability I. Ortega et al. 10.1525/elementa.2023.00015
28 citations as recorded by crossref.
- Estimation of NO2 emission strengths over Riyadh and Madrid from space from a combination of wind-assigned anomalies and a machine learning technique Q. Tu et al. 10.5194/amt-16-2237-2023
- Evaluating CHASER V4.0 global formaldehyde (HCHO) simulations using satellite, aircraft, and ground-based remote-sensing observations H. Hoque et al. 10.5194/gmd-17-5545-2024
- Trans-boundary spatio-temporal analysis of Sentinel 5P tropospheric nitrogen dioxide and total carbon monoxide columns over Punjab and Haryana Regions with COVID-19 lockdown impact Y. Shabbir et al. 10.1007/s10661-024-12458-9
- Air Pollution Patterns Mapping of SO2, NO2, and CO Derived from TROPOMI over Central-East Europe B. Wieczorek 10.3390/rs15061565
- Nitrogen oxides emissions from selected cities in North America, Europe, and East Asia observed by the TROPOspheric Monitoring Instrument (TROPOMI) before and after the COVID-19 pandemic C. Lonsdale & K. Sun 10.5194/acp-23-8727-2023
- Maritime sector contributions on NO2 surface concentrations in major ports of the Mediterranean Basin A. Pseftogkas et al. 10.1016/j.apr.2024.102228
- A Multivariate Geostatistical Framework to Assess the Spatio-Temporal Dynamics of Air Pollution and Land Surface Temperature in Bangladesh S. Rahaman et al. 10.1007/s41748-024-00418-9
- Estimating surface NO2 concentrations over Europe using Sentinel-5P TROPOMI observations and Machine Learning S. Shetty et al. 10.1016/j.rse.2024.114321
- Air quality and urban climate improvements in the world’s most populated region during the COVID-19 pandemic A. Damiani et al. 10.1088/1748-9326/ad25a2
- Monitoring Trends of SO2 level Using Time-Series Sentinel-5 Images Based on Google Earth Engine B. Muslimbekov et al. 10.1051/e3sconf/202456303068
- Nitrogen dioxide spatiotemporal variations in the complex urban environment of Athens, Greece T. Drosoglou et al. 10.1016/j.atmosenv.2023.120115
- Peculiar COVID-19 effects in the Greater Tokyo Area revealed by spatiotemporal variabilities of tropospheric gases and light-absorbing aerosols A. Damiani et al. 10.5194/acp-22-12705-2022
- Unbalanced emission reductions of different species and sectors in China during COVID-19 lockdown derived by multi-species surface observation assimilation L. Kong et al. 10.5194/acp-23-6217-2023
- International maritime regulation decreases sulfur dioxide but increases nitrogen oxide emissions in the North and Baltic Sea W. Van Roy et al. 10.1038/s43247-023-01050-7
- Short-term trends of air quality and pollutant concentrations in Nigeria from 2018–2022 using tropospheric sentinel-5P and 3A/B satellite data D. Omokpariola et al. 10.1007/s42452-024-05856-8
- Comparison of PM10 Levels in Three of the Most Polluted Cities in Romania over the Periods Related to Lower Traffic—Implications for Human Health G. Burghelea et al. 10.3390/app14188169
- 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
- Footprints of COVID-19 on PM2.5/PM10 Ratio in a Brazilian Tropical Metropolis R. Tavella et al. 10.1007/s41810-024-00213-z
- Assessment of tropospheric NO2 concentrations over greater Doha using Sentinel-5 TROPOspheric monitoring instrument (TROPOMI) satellite data: Temporal analysis, 2018–2023 Y. Mohieldeen et al. 10.1016/j.envpol.2024.124995
- Quantifying the diurnal variation in atmospheric NO2 from Geostationary Environment Monitoring Spectrometer (GEMS) observations D. Edwards et al. 10.5194/acp-24-8943-2024
- NOx emissions in France in 2019–2021 as estimated by the high-spatial-resolution assimilation of TROPOMI NO2 observations R. Plauchu et al. 10.5194/acp-24-8139-2024
- Air Quality Index (AQI) Did Not Improve during the COVID-19 Lockdown in Shanghai, China, in 2022, Based on Ground and TROPOMI Observations Q. Ma et al. 10.3390/rs15051295
- Applications of Sentinel-5P TROPOMI Satellite Sensor: A Review A. Reshi et al. 10.1109/JSEN.2024.3355714
- Air Pollution Inequality in the Denver Metroplex and its Relationship to Historical Redlining A. Bradley et al. 10.1021/acs.est.3c03230
- Aggravated surface O3 pollution primarily driven by meteorological variations in China during the 2020 COVID-19 pandemic lockdown period Z. Lu et al. 10.5194/acp-24-7793-2024
- Air quality monitoring in Ukraine during 2022 military conflict using Sentinel-5P imagery M. Mehrabi et al. 10.1007/s11869-023-01488-w
- Efficacy of China’s clean air actions to tackle PM2.5 pollution between 2013 and 2020 G. Geng et al. 10.1038/s41561-024-01540-z
- Tracking air quality trends and vehicle traffic dynamics at urban scale using satellite and ground data before and after the COVID-19 outbreak D. De Santis et al. 10.1016/j.scitotenv.2023.165464
9 citations as recorded by crossref.
- Quantifying urban, industrial, and background changes in NO<sub>2</sub> during the COVID-19 lockdown period based on TROPOMI satellite observations V. Fioletov et al. 10.5194/acp-22-4201-2022
- A sulfur dioxide Covariance-Based Retrieval Algorithm (COBRA): application to TROPOMI reveals new emission sources N. Theys et al. 10.5194/acp-21-16727-2021
- Glyoxal tropospheric column retrievals from TROPOMI – multi-satellite intercomparison and ground-based validation C. Lerot et al. 10.5194/amt-14-7775-2021
- Comparative assessment of TROPOMI and OMI formaldehyde observations and validation against MAX-DOAS network column measurements I. De Smedt et al. 10.5194/acp-21-12561-2021
- Spatial analysis of COVID-19 spread in Europe using "center of gravity" concept O. Yavorska & R. Bun 10.23939/mmc2022.01.130
- Leveraging Machine Learning and Geo-Tagged Citizen Science Data to Disentangle the Factors of Avian Mortality Events at the Species Level A. Yang et al. 10.3390/rs14102369
- Evaluating Impact of Ship Emissions on Atmospheric Environment - Air Quality Improvement Triggered by 2020 Global Sulphur Cap K. Yamaji & M. Tauchi 10.5988/jime.57.601
- Variability of nitrogen oxide emission fluxes and lifetimes estimated from Sentinel-5P TROPOMI observations K. Lange et al. 10.5194/acp-22-2745-2022
- Anomalies of O3, CO, C2H2, H2CO, and C2H6 detected with multiple ground-based Fourier-transform infrared spectrometers and assessed with model simulation in 2020: COVID-19 lockdowns versus natural variability I. Ortega et al. 10.1525/elementa.2023.00015
Latest update: 23 Nov 2024
Short summary
Using the COVID-19 lockdown periods as an example, we show how Sentinel-5P/TROPOMI trace gas data (NO2, SO2, CO, HCHO and CHOCHO) can be used to understand impacts on air quality for regions and cities around the globe. We also provide information for both experienced and inexperienced users about how we created the data using state-of-the-art algorithms, where to get the data, methods taking meteorological and seasonal variability into consideration, and insights for future studies.
Using the COVID-19 lockdown periods as an example, we show how Sentinel-5P/TROPOMI trace gas...
Altmetrics
Final-revised paper
Preprint