Articles | Volume 14, issue 6
https://doi.org/10.5194/essd-14-2521-2022
© 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/essd-14-2521-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Data description paper
| 
02 Jun 2022
Data description paper |
| 02 Jun 2022
| 02 Jun 2022
European primary emissions of criteria pollutants and greenhouse gases in 2020 modulated by the COVID-19 pandemic disruptions
Barcelona Supercomputing Center, Barcelona, Spain
Hervé Petetin
Barcelona Supercomputing Center, Barcelona, Spain
Oriol Jorba
Barcelona Supercomputing Center, Barcelona, Spain
Hugo Denier van der Gon
Department of Climate, Air and Sustainability, TNO, Utrecht, the Netherlands
Jeroen Kuenen
Department of Climate, Air and Sustainability, TNO, Utrecht, the Netherlands
Ingrid Super
Department of Climate, Air and Sustainability, TNO, Utrecht, the Netherlands
Jukka-Pekka Jalkanen
Atmospheric Composition Research, Finnish Meteorological Institute, 00560 Helsinki, Finland
Elisa Majamäki
Atmospheric Composition Research, Finnish Meteorological Institute, 00560 Helsinki, Finland
Lasse Johansson
Atmospheric Composition Research, Finnish Meteorological Institute, 00560 Helsinki, Finland
Vincent-Henri Peuch
European Centre for Medium-Range Weather Forecasts, Reading, UK
Carlos Pérez García-Pando
Barcelona Supercomputing Center, Barcelona, Spain
Catalan Institution for Research and Advanced Studies – ICREA, Barcelona, Spain
Viewed
Total article views: 3,671 (including HTML, PDF, and XML)
Cumulative views and downloads
(calculated since 25 Jan 2022)
| HTML | XML | Total | Supplement | BibTeX | EndNote | |
|---|---|---|---|---|---|---|
| 2,634 | 932 | 105 | 3,671 | 415 | 82 | 91 |
- HTML: 2,634
- PDF: 932
- XML: 105
- Total: 3,671
- Supplement: 415
- BibTeX: 82
- EndNote: 91
Total article views: 2,429 (including HTML, PDF, and XML)
Cumulative views and downloads
(calculated since 02 Jun 2022)
| HTML | XML | Total | Supplement | BibTeX | EndNote | |
|---|---|---|---|---|---|---|
| 1,915 | 429 | 85 | 2,429 | 140 | 74 | 78 |
- HTML: 1,915
- PDF: 429
- XML: 85
- Total: 2,429
- Supplement: 140
- BibTeX: 74
- EndNote: 78
Total article views: 1,242 (including HTML, PDF, and XML)
Cumulative views and downloads
(calculated since 25 Jan 2022)
| HTML | XML | Total | Supplement | BibTeX | EndNote | |
|---|---|---|---|---|---|---|
| 719 | 503 | 20 | 1,242 | 275 | 8 | 13 |
- HTML: 719
- PDF: 503
- XML: 20
- Total: 1,242
- Supplement: 275
- BibTeX: 8
- EndNote: 13
Viewed (geographical distribution)
Total article views: 3,671 (including HTML, PDF, and XML)
Thereof 3,405 with geography defined
and 266 with unknown origin.
Total article views: 2,429 (including HTML, PDF, and XML)
Thereof 2,288 with geography defined
and 141 with unknown origin.
Total article views: 1,242 (including HTML, PDF, and XML)
Thereof 1,117 with geography defined
and 125 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
21 citations as recorded by crossref.
- 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 pollution emission inventory using national high-resolution spatial parameters for the Nordic countries and analysis of PM2.5 spatial distribution for road transport and machinery and off-road sectors V. Paunu et al. 10.5194/essd-16-1453-2024
- Who is the biological patient? A new gradational and dynamic model for one health medicine Y. Friedman 10.1007/s40656-022-00540-9
- Scaling traffic variables from sensors sample to the entire city at high spatiotemporal resolution with machine learning: applications to the Paris megacity X. Bonnemaizon et al. 10.1088/2634-4505/ad6bbf
- High-Resolution Emissions from Wood Burning in Norway—The Effect of Cabin Emissions S. Lopez-Aparicio et al. 10.3390/en15249332
- Towards near-real-time air pollutant and greenhouse gas emissions: lessons learned from multiple estimates during the COVID-19 pandemic M. Guevara et al. 10.5194/acp-23-8081-2023
- Assessing the effects of significant activity changes on urban-scale air quality across three European cities M. Ramacher et al. 10.1016/j.aeaoa.2024.100264
- An exploratory approach to estimate point emission sources D. Lopes et al. 10.1016/j.atmosenv.2023.120026
- Satellite reveals a steep decline in China’s CO 2 emissions in early 2022 H. Li et al. 10.1126/sciadv.adg7429
- Lessons learnt for air pollution mitigation policies from the COVID-19 pandemic: The Italian perspective M. D'Isidoro et al. 10.1016/j.apr.2022.101620
- China carbon emission accounts 2020-2021 J. Xu et al. 10.1016/j.apenergy.2024.122837
- Enhancing multi-mode transport emission inventories: Combining open-source data with traditional approaches D. Lopes et al. 10.1016/j.uclim.2024.102097
- The worldwide COVID-19 lockdown impacts on global secondary inorganic aerosols and radiative budget T. Sekiya et al. 10.1126/sciadv.adh2688
- Near-real-time CO2 fluxes from CarbonTracker Europe for high-resolution atmospheric modeling A. van der Woude et al. 10.5194/essd-15-579-2023
- Assessment of the contribution of the Meteosat Third Generation Infrared Sounder (MTG-IRS) for the characterisation of ozone over Europe F. Vittorioso et al. 10.5194/amt-17-5279-2024
- Towards the first cohort of climate-neutral cities: Expected impact, current gaps, and next steps to take to establish evidence-based zero-emission urban futures G. Ulpiani et al. 10.1016/j.scs.2023.104572
- A new NMVOC speciated inventory for a reactivity-based approach to support ozone control strategies in Spain K. Oliveira et al. 10.1016/j.scitotenv.2023.161449
- On the added value of satellite AOD for the investigation of ground-level PM2.5 variability J. Handschuh et al. 10.1016/j.atmosenv.2024.120601
- How Large Are the Costs of Local Pollution Emitted by Freight Vehicles? Insights from the COVID-19 Lockdown in Paris L. Letrouit & M. Koning 10.1007/s10666-024-09998-2
- Sources and Variability of Greenhouse Gases over Greece A. Bougiatioti et al. 10.3390/atmos15111288
- Drivers of divergent trends in tropospheric ozone hotspots in Spain, 2008–2019 J. Massagué et al. 10.1007/s11869-023-01468-0
21 citations as recorded by crossref.
- 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 pollution emission inventory using national high-resolution spatial parameters for the Nordic countries and analysis of PM2.5 spatial distribution for road transport and machinery and off-road sectors V. Paunu et al. 10.5194/essd-16-1453-2024
- Who is the biological patient? A new gradational and dynamic model for one health medicine Y. Friedman 10.1007/s40656-022-00540-9
- Scaling traffic variables from sensors sample to the entire city at high spatiotemporal resolution with machine learning: applications to the Paris megacity X. Bonnemaizon et al. 10.1088/2634-4505/ad6bbf
- High-Resolution Emissions from Wood Burning in Norway—The Effect of Cabin Emissions S. Lopez-Aparicio et al. 10.3390/en15249332
- Towards near-real-time air pollutant and greenhouse gas emissions: lessons learned from multiple estimates during the COVID-19 pandemic M. Guevara et al. 10.5194/acp-23-8081-2023
- Assessing the effects of significant activity changes on urban-scale air quality across three European cities M. Ramacher et al. 10.1016/j.aeaoa.2024.100264
- An exploratory approach to estimate point emission sources D. Lopes et al. 10.1016/j.atmosenv.2023.120026
- Satellite reveals a steep decline in China’s CO 2 emissions in early 2022 H. Li et al. 10.1126/sciadv.adg7429
- Lessons learnt for air pollution mitigation policies from the COVID-19 pandemic: The Italian perspective M. D'Isidoro et al. 10.1016/j.apr.2022.101620
- China carbon emission accounts 2020-2021 J. Xu et al. 10.1016/j.apenergy.2024.122837
- Enhancing multi-mode transport emission inventories: Combining open-source data with traditional approaches D. Lopes et al. 10.1016/j.uclim.2024.102097
- The worldwide COVID-19 lockdown impacts on global secondary inorganic aerosols and radiative budget T. Sekiya et al. 10.1126/sciadv.adh2688
- Near-real-time CO2 fluxes from CarbonTracker Europe for high-resolution atmospheric modeling A. van der Woude et al. 10.5194/essd-15-579-2023
- Assessment of the contribution of the Meteosat Third Generation Infrared Sounder (MTG-IRS) for the characterisation of ozone over Europe F. Vittorioso et al. 10.5194/amt-17-5279-2024
- Towards the first cohort of climate-neutral cities: Expected impact, current gaps, and next steps to take to establish evidence-based zero-emission urban futures G. Ulpiani et al. 10.1016/j.scs.2023.104572
- A new NMVOC speciated inventory for a reactivity-based approach to support ozone control strategies in Spain K. Oliveira et al. 10.1016/j.scitotenv.2023.161449
- On the added value of satellite AOD for the investigation of ground-level PM2.5 variability J. Handschuh et al. 10.1016/j.atmosenv.2024.120601
- How Large Are the Costs of Local Pollution Emitted by Freight Vehicles? Insights from the COVID-19 Lockdown in Paris L. Letrouit & M. Koning 10.1007/s10666-024-09998-2
- Sources and Variability of Greenhouse Gases over Greece A. Bougiatioti et al. 10.3390/atmos15111288
- Drivers of divergent trends in tropospheric ozone hotspots in Spain, 2008–2019 J. Massagué et al. 10.1007/s11869-023-01468-0
Latest update: 20 Nov 2024
Short summary
To control the spread of the COVID-19 disease, European governments implemented mobility restriction measures that resulted in an unprecedented drop in anthropogenic emissions. This work presents a dataset of emission adjustment factors that allows quantifying changes in 2020 European primary emissions per country and pollutant sector at the daily scale. The resulting dataset can be used as input in modelling studies aiming at quantifying the impact of COVID-19 on air quality levels.
To control the spread of the COVID-19 disease, European governments implemented mobility...
Altmetrics
Final-revised paper
Preprint