Articles | Volume 16, issue 21
https://doi.org/10.5194/acp-16-13509-2016
© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
https://doi.org/10.5194/acp-16-13509-2016
© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Estimation of fossil-fuel CO2 emissions using satellite measurements of "proxy" species
Institute of Applied Physics, Russian Academy of Sciences, Nizhniy
Novgorod, Russia
Evgeny V. Berezin
Institute of Applied Physics, Russian Academy of Sciences, Nizhniy
Novgorod, Russia
Philippe Ciais
Laboratoire des Sciences du Climat et l'Environnement (LSCE/IPSL),
CNRS-CEA-UVSQ, Centre d'Études Orme des Merisiers, Gif-sur-Yvette, France
Grégoire Broquet
Laboratoire des Sciences du Climat et l'Environnement (LSCE/IPSL),
CNRS-CEA-UVSQ, Centre d'Études Orme des Merisiers, Gif-sur-Yvette, France
Ruslan V. Zhuravlev
Institute of Applied Physics, Russian Academy of Sciences, Nizhniy
Novgorod, Russia
Greet Janssens-Maenhout
Joint Research Center, Institute for Environment and Sustainability,
Ispra (Va), Italy
Viewed
Total article views: 5,802 (including HTML, PDF, and XML)
Cumulative views and downloads
(calculated since 19 Apr 2016)
HTML | XML | Total | BibTeX | EndNote | |
---|---|---|---|---|---|
2,652 | 2,833 | 317 | 5,802 | 106 | 129 |
- HTML: 2,652
- PDF: 2,833
- XML: 317
- Total: 5,802
- BibTeX: 106
- EndNote: 129
Total article views: 5,109 (including HTML, PDF, and XML)
Cumulative views and downloads
(calculated since 01 Nov 2016)
HTML | XML | Total | BibTeX | EndNote | |
---|---|---|---|---|---|
2,245 | 2,565 | 299 | 5,109 | 90 | 112 |
- HTML: 2,245
- PDF: 2,565
- XML: 299
- Total: 5,109
- BibTeX: 90
- EndNote: 112
Total article views: 693 (including HTML, PDF, and XML)
Cumulative views and downloads
(calculated since 19 Apr 2016)
HTML | XML | Total | BibTeX | EndNote | |
---|---|---|---|---|---|
407 | 268 | 18 | 693 | 16 | 17 |
- HTML: 407
- PDF: 268
- XML: 18
- Total: 693
- BibTeX: 16
- EndNote: 17
Cited
51 citations as recorded by crossref.
- TROPOMI NO2 in the United States: A Detailed Look at the Annual Averages, Weekly Cycles, Effects of Temperature, and Correlation With Surface NO2 Concentrations D. Goldberg et al. 10.1029/2020EF001665
- Estimation of Atmospheric Fossil Fuel CO2 Traced by Δ14C: Current Status and Outlook M. Yu et al. 10.3390/atmos13122131
- An assessment of emission characteristics of Northern Hemisphere cities using spaceborne observations of CO2, CO, and NO2 H. Park et al. 10.1016/j.rse.2020.112246
- Satellite-based estimates of decline and rebound in China’s CO 2 emissions during COVID-19 pandemic B. Zheng et al. 10.1126/sciadv.abd4998
- Theoretical assessment of the ability of the MicroCarb satellite city-scan observing mode to estimate urban CO2 emissions K. Wu et al. 10.5194/amt-16-581-2023
- Simulating estimation of California fossil fuel and biosphere carbon dioxide exchanges combining in situ tower and satellite column observations M. Fischer et al. 10.1002/2016JD025617
- 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
- Unexpected slowdown of US pollutant emission reduction in the past decade Z. Jiang et al. 10.1073/pnas.1801191115
- Analyzing Temporal and Spatial Characteristics and Determinant Factors of Energy-Related CO2 Emissions of Shanghai in China Using High-Resolution Gridded Data H. Zhu et al. 10.3390/su11174766
- Neural-network-based estimation of regional-scale anthropogenic CO<sub>2</sub> emissions using an Orbiting Carbon Observatory-2 (OCO-2) dataset over East and West Asia F. Mustafa et al. 10.5194/amt-14-7277-2021
- Toward Global Estimation of Ground-Level NO2 Pollution With Deep Learning and Remote Sensing L. Scheibenreif et al. 10.1109/TGRS.2022.3160827
- Regional CO emission estimated from ground-based remote sensing at Hefei site, China C. Shan et al. 10.1016/j.atmosres.2019.02.005
- Aircraft and satellite observations reveal historical gap between top–down and bottom–up CO2 emissions from Canadian oil sands S. Wren et al. 10.1093/pnasnexus/pgad140
- Evaluating the Ability of the Pre-Launch TanSat-2 Satellite to Quantify Urban CO2 Emissions K. Wu et al. 10.3390/rs15204904
- The consolidated European synthesis of CO2emissions and removals for the European Union and United Kingdom: 1990–2020 M. McGrath et al. 10.5194/essd-15-4295-2023
- Improved definition of prior uncertainties in CO2 and CO fossil fuel fluxes and its impact on multi-species inversion with GEOS-Chem (v12.5) I. Super et al. 10.5194/gmd-17-7263-2024
- Assessing the “negative effect” and “positive effect” of COVID-19 in China W. Wen et al. 10.1016/j.jclepro.2022.134080
- Investigating the Uncertainties Propagation Analysis of CO2 Emissions Gridded Maps at the Urban Scale: A Case Study of Jinjiang City, China S. Dai et al. 10.3390/rs12233932
- Impact of COVID-19 force confinement for CO2 emission, NO2 concentration, and daily traffic congestion throughout EU nations and the United Kingdom (UK) M. Sahraei & B. Ziaei 10.1007/s13762-023-05391-w
- A Data-Driven Method to Monitor Carbon Dioxide Emissions of Coal-Fired Power Plants S. Zhou et al. 10.3390/en16041646
- CO anthropogenic emissions in Europe from 2011 to 2021: insights from Measurement of Pollution in the Troposphere (MOPITT) satellite data A. Fortems-Cheiney et al. 10.5194/acp-24-4635-2024
- Assimilation of atmospheric CO2 observations from space can support national CO2 emission inventories T. Kaminski et al. 10.1088/1748-9326/ac3cea
- Using Space‐Based CO2 and NO2 Observations to Estimate Urban CO2 Emissions E. Yang et al. 10.1029/2022JD037736
- Refining Spatial and Temporal XCO2 Characteristics Observed by Orbiting Carbon Observatory-2 and Orbiting Carbon Observatory-3 Using Sentinel-5P Tropospheric Monitoring Instrument NO2 Observations in China K. Guo et al. 10.3390/rs16132456
- Role of space station instruments for improving tropical carbon flux estimates using atmospheric data P. Palmer et al. 10.1038/s41526-022-00231-6
- An assessment of China's industrial emission characteristics using satellite observations of XCO2, SO2, and NO2 Y. Fu et al. 10.1016/j.apr.2022.101486
- Uncertainty in continuous ΔCO-based ΔffCO2 estimates derived from 14C flask and bottom-up ΔCO ∕ ΔffCO2 ratios F. Maier et al. 10.5194/acp-24-8205-2024
- Will COVID-19 fiscal recovery packages accelerate or retard progress on climate change? C. Hepburn et al. 10.1093/oxrep/graa015
- Verifying national inventory-based combustion emissions of CO2 across the UK and mainland Europe using satellite observations of atmospheric CO and CO2 T. Scarpelli et al. 10.5194/acp-24-10773-2024
- Characterizing Regional-Scale Combustion Using Satellite Retrievals of CO, NO2 and CO2 S. Silva & A. Arellano 10.3390/rs9070744
- The version 3 OMI NO<sub>2</sub> standard product N. Krotkov et al. 10.5194/amt-10-3133-2017
- Ozone Monitoring Instrument (OMI) Aura nitrogen dioxide standard product version 4.0 with improved surface and cloud treatments L. Lamsal et al. 10.5194/amt-14-455-2021
- The Ozone Monitoring Instrument: overview of 14 years in space P. Levelt et al. 10.5194/acp-18-5699-2018
- A methodology to constrain carbon dioxide emissions from coal-fired power plants using satellite observations of co-emitted nitrogen dioxide F. Liu et al. 10.5194/acp-20-99-2020
- Identification of NOx hotspots from oversampled TROPOMI NO2 column based on image segmentation method K. Wang et al. 10.1016/j.scitotenv.2021.150007
- Source Attribution of Atmospheric CO2 Using 14C and 13C as Tracers in Two Chinese Megacities During Winter P. Wang et al. 10.1029/2022JD036504
- Biomass burning combustion efficiency observed from space using measurements of CO and NO<sub>2</sub> by the TROPOspheric Monitoring Instrument (TROPOMI) I. van der Velde et al. 10.5194/acp-21-597-2021
- Satellite data reveal a common combustion emission pathway for major cities in China W. Tang et al. 10.5194/acp-19-4269-2019
- Multisensor and Multimodel Monitoring and Investigation of a Wintertime Air Pollution Event Ahead of a Cold Front Over Eastern China X. Hu et al. 10.1029/2020JD033538
- Multi-year observations of variable incomplete combustion in the New York megacity L. Schiferl et al. 10.5194/acp-24-10129-2024
- China’s Fossil Fuel CO2 Emissions Estimated Using Surface Observations of Coemitted NO2 S. Feng et al. 10.1021/acs.est.3c07756
- Exploiting OMI NO2 satellite observations to infer fossil-fuel CO2 emissions from U.S. megacities D. Goldberg et al. 10.1016/j.scitotenv.2019.133805
- The consolidated European synthesis of CO2 emissions and removals for the European Union and United Kingdom: 1990–2018 A. Petrescu et al. 10.5194/essd-13-2363-2021
- Russian Studies of Atmospheric Ozone and Its Precursors in 2015–2018 N. Elansky 10.1134/S0001433820020048
- Insights into the aging of biomass burning aerosol from satellite observations and 3D atmospheric modeling: evolution of the aerosol optical properties in Siberian wildfire plumes I. Konovalov et al. 10.5194/acp-21-357-2021
- Total organic carbon measurements reveal major gaps in petrochemical emissions reporting M. He et al. 10.1126/science.adj6233
- Daily CO2 Emission Reduction Indicates the Control of Activities to Contain COVID-19 in China R. Wang et al. 10.1016/j.xinn.2020.100062
- Predictability of fossil fuel CO2 from air quality emissions K. Miyazaki & K. Bowman 10.1038/s41467-023-37264-8
- Estimating global 0.1° scale gridded anthropogenic CO2 emissions using TROPOMI NO2 and a data-driven method Y. Zhang et al. 10.1016/j.scitotenv.2024.175177
- Gridded emissions of air pollutants for the period 1970–2012 within EDGAR v4.3.2 M. Crippa et al. 10.5194/essd-10-1987-2018
- Estimation of biomass burning emission of NO2 and CO from 2019–2020 Australia fires based on satellite observations N. Wan et al. 10.5194/acp-23-711-2023
51 citations as recorded by crossref.
- TROPOMI NO2 in the United States: A Detailed Look at the Annual Averages, Weekly Cycles, Effects of Temperature, and Correlation With Surface NO2 Concentrations D. Goldberg et al. 10.1029/2020EF001665
- Estimation of Atmospheric Fossil Fuel CO2 Traced by Δ14C: Current Status and Outlook M. Yu et al. 10.3390/atmos13122131
- An assessment of emission characteristics of Northern Hemisphere cities using spaceborne observations of CO2, CO, and NO2 H. Park et al. 10.1016/j.rse.2020.112246
- Satellite-based estimates of decline and rebound in China’s CO 2 emissions during COVID-19 pandemic B. Zheng et al. 10.1126/sciadv.abd4998
- Theoretical assessment of the ability of the MicroCarb satellite city-scan observing mode to estimate urban CO2 emissions K. Wu et al. 10.5194/amt-16-581-2023
- Simulating estimation of California fossil fuel and biosphere carbon dioxide exchanges combining in situ tower and satellite column observations M. Fischer et al. 10.1002/2016JD025617
- 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
- Unexpected slowdown of US pollutant emission reduction in the past decade Z. Jiang et al. 10.1073/pnas.1801191115
- Analyzing Temporal and Spatial Characteristics and Determinant Factors of Energy-Related CO2 Emissions of Shanghai in China Using High-Resolution Gridded Data H. Zhu et al. 10.3390/su11174766
- Neural-network-based estimation of regional-scale anthropogenic CO<sub>2</sub> emissions using an Orbiting Carbon Observatory-2 (OCO-2) dataset over East and West Asia F. Mustafa et al. 10.5194/amt-14-7277-2021
- Toward Global Estimation of Ground-Level NO2 Pollution With Deep Learning and Remote Sensing L. Scheibenreif et al. 10.1109/TGRS.2022.3160827
- Regional CO emission estimated from ground-based remote sensing at Hefei site, China C. Shan et al. 10.1016/j.atmosres.2019.02.005
- Aircraft and satellite observations reveal historical gap between top–down and bottom–up CO2 emissions from Canadian oil sands S. Wren et al. 10.1093/pnasnexus/pgad140
- Evaluating the Ability of the Pre-Launch TanSat-2 Satellite to Quantify Urban CO2 Emissions K. Wu et al. 10.3390/rs15204904
- The consolidated European synthesis of CO2emissions and removals for the European Union and United Kingdom: 1990–2020 M. McGrath et al. 10.5194/essd-15-4295-2023
- Improved definition of prior uncertainties in CO2 and CO fossil fuel fluxes and its impact on multi-species inversion with GEOS-Chem (v12.5) I. Super et al. 10.5194/gmd-17-7263-2024
- Assessing the “negative effect” and “positive effect” of COVID-19 in China W. Wen et al. 10.1016/j.jclepro.2022.134080
- Investigating the Uncertainties Propagation Analysis of CO2 Emissions Gridded Maps at the Urban Scale: A Case Study of Jinjiang City, China S. Dai et al. 10.3390/rs12233932
- Impact of COVID-19 force confinement for CO2 emission, NO2 concentration, and daily traffic congestion throughout EU nations and the United Kingdom (UK) M. Sahraei & B. Ziaei 10.1007/s13762-023-05391-w
- A Data-Driven Method to Monitor Carbon Dioxide Emissions of Coal-Fired Power Plants S. Zhou et al. 10.3390/en16041646
- CO anthropogenic emissions in Europe from 2011 to 2021: insights from Measurement of Pollution in the Troposphere (MOPITT) satellite data A. Fortems-Cheiney et al. 10.5194/acp-24-4635-2024
- Assimilation of atmospheric CO2 observations from space can support national CO2 emission inventories T. Kaminski et al. 10.1088/1748-9326/ac3cea
- Using Space‐Based CO2 and NO2 Observations to Estimate Urban CO2 Emissions E. Yang et al. 10.1029/2022JD037736
- Refining Spatial and Temporal XCO2 Characteristics Observed by Orbiting Carbon Observatory-2 and Orbiting Carbon Observatory-3 Using Sentinel-5P Tropospheric Monitoring Instrument NO2 Observations in China K. Guo et al. 10.3390/rs16132456
- Role of space station instruments for improving tropical carbon flux estimates using atmospheric data P. Palmer et al. 10.1038/s41526-022-00231-6
- An assessment of China's industrial emission characteristics using satellite observations of XCO2, SO2, and NO2 Y. Fu et al. 10.1016/j.apr.2022.101486
- Uncertainty in continuous ΔCO-based ΔffCO2 estimates derived from 14C flask and bottom-up ΔCO ∕ ΔffCO2 ratios F. Maier et al. 10.5194/acp-24-8205-2024
- Will COVID-19 fiscal recovery packages accelerate or retard progress on climate change? C. Hepburn et al. 10.1093/oxrep/graa015
- Verifying national inventory-based combustion emissions of CO2 across the UK and mainland Europe using satellite observations of atmospheric CO and CO2 T. Scarpelli et al. 10.5194/acp-24-10773-2024
- Characterizing Regional-Scale Combustion Using Satellite Retrievals of CO, NO2 and CO2 S. Silva & A. Arellano 10.3390/rs9070744
- The version 3 OMI NO<sub>2</sub> standard product N. Krotkov et al. 10.5194/amt-10-3133-2017
- Ozone Monitoring Instrument (OMI) Aura nitrogen dioxide standard product version 4.0 with improved surface and cloud treatments L. Lamsal et al. 10.5194/amt-14-455-2021
- The Ozone Monitoring Instrument: overview of 14 years in space P. Levelt et al. 10.5194/acp-18-5699-2018
- A methodology to constrain carbon dioxide emissions from coal-fired power plants using satellite observations of co-emitted nitrogen dioxide F. Liu et al. 10.5194/acp-20-99-2020
- Identification of NOx hotspots from oversampled TROPOMI NO2 column based on image segmentation method K. Wang et al. 10.1016/j.scitotenv.2021.150007
- Source Attribution of Atmospheric CO2 Using 14C and 13C as Tracers in Two Chinese Megacities During Winter P. Wang et al. 10.1029/2022JD036504
- Biomass burning combustion efficiency observed from space using measurements of CO and NO<sub>2</sub> by the TROPOspheric Monitoring Instrument (TROPOMI) I. van der Velde et al. 10.5194/acp-21-597-2021
- Satellite data reveal a common combustion emission pathway for major cities in China W. Tang et al. 10.5194/acp-19-4269-2019
- Multisensor and Multimodel Monitoring and Investigation of a Wintertime Air Pollution Event Ahead of a Cold Front Over Eastern China X. Hu et al. 10.1029/2020JD033538
- Multi-year observations of variable incomplete combustion in the New York megacity L. Schiferl et al. 10.5194/acp-24-10129-2024
- China’s Fossil Fuel CO2 Emissions Estimated Using Surface Observations of Coemitted NO2 S. Feng et al. 10.1021/acs.est.3c07756
- Exploiting OMI NO2 satellite observations to infer fossil-fuel CO2 emissions from U.S. megacities D. Goldberg et al. 10.1016/j.scitotenv.2019.133805
- The consolidated European synthesis of CO2 emissions and removals for the European Union and United Kingdom: 1990–2018 A. Petrescu et al. 10.5194/essd-13-2363-2021
- Russian Studies of Atmospheric Ozone and Its Precursors in 2015–2018 N. Elansky 10.1134/S0001433820020048
- Insights into the aging of biomass burning aerosol from satellite observations and 3D atmospheric modeling: evolution of the aerosol optical properties in Siberian wildfire plumes I. Konovalov et al. 10.5194/acp-21-357-2021
- Total organic carbon measurements reveal major gaps in petrochemical emissions reporting M. He et al. 10.1126/science.adj6233
- Daily CO2 Emission Reduction Indicates the Control of Activities to Contain COVID-19 in China R. Wang et al. 10.1016/j.xinn.2020.100062
- Predictability of fossil fuel CO2 from air quality emissions K. Miyazaki & K. Bowman 10.1038/s41467-023-37264-8
- Estimating global 0.1° scale gridded anthropogenic CO2 emissions using TROPOMI NO2 and a data-driven method Y. Zhang et al. 10.1016/j.scitotenv.2024.175177
- Gridded emissions of air pollutants for the period 1970–2012 within EDGAR v4.3.2 M. Crippa et al. 10.5194/essd-10-1987-2018
- Estimation of biomass burning emission of NO2 and CO from 2019–2020 Australia fires based on satellite observations N. Wan et al. 10.5194/acp-23-711-2023
Saved (preprint)
Latest update: 05 Nov 2024
Short summary
The knowledge of CO2 emissions from fossil-fuel (FF) burning is of paramount importance both for climate prediction and mitigation policy purposes. The paper introduces a method to indirectly constrain a regional budget of FF CO2 emissions by using satellite measurements of "proxy" chemical species and evaluates its potential in application to a western European region.
The knowledge of CO2 emissions from fossil-fuel (FF) burning is of paramount importance both for...
Altmetrics
Final-revised paper
Preprint