Articles | Volume 22, issue 22
https://doi.org/10.5194/acp-22-14547-2022
© 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-22-14547-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
16 Nov 2022
Research article |
| 16 Nov 2022
| 16 Nov 2022
Towards sector-based attribution using intra-city variations in satellite-based emission ratios between CO2 and CO
Division of Geological and Planetary Sciences, California Institute of Technology, Pasadena, USA
Junjie Liu
Jet Propulsion Laboratory, California Institute of Technology, Pasadena, USA
Division of Geological and Planetary Sciences, California Institute of Technology, Pasadena, USA
Paul O. Wennberg
Division of Geological and Planetary Sciences, California Institute of Technology, Pasadena, USA
Division of Engineering and Applied Science, California Institute of Technology, Pasadena, USA
Paul I. Palmer
Jet Propulsion Laboratory, California Institute of Technology, Pasadena, USA
School of GeoSciences, University of Edinburgh, Edinburgh, UK
Robert R. Nelson
Jet Propulsion Laboratory, California Institute of Technology, Pasadena, USA
Matthäus Kiel
Jet Propulsion Laboratory, California Institute of Technology, Pasadena, USA
Annmarie Eldering
Jet Propulsion Laboratory, California Institute of Technology, Pasadena, USA
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Cited
24 citations as recorded by crossref.
- Observed decade-long improvement of combustion efficiency in the Yangtze River Delta region in China J. Zhao et al.
- Synergy of Multiple‐Satellite Measurements to Fill the Gap of Global XCO2 J. Lee et al.
- Evaluating the consistency between OCO-2 and OCO-3 XCO2 estimates derived from the NASA ACOS version 10 retrieval algorithm T. Taylor et al.
- Quantifying CO emissions from boreal wildfires by assimilating TROPOMI and TCCON observations S. Voshtani et al.
- Seasonal and Diurnal Variations in XCO2 Characteristics in China as Observed by OCO‐2/3 Satellites: Effects of Land Cover and Local Meteorology H. Zhao et al.
- Optimal selection of satellite XCO2 images for urban CO2 emission monitoring A. Danjou et al.
- Comparing space-based to reported carbon monoxide emission estimates for Europe's iron and steel plants G. Leguijt et al.
- Dual-comb spectroscopy over a 100 km open-air path J. Han et al.
- A simplified non-linear chemistry transport model for analyzing NO2 column observations: STILT–NOx D. Wu et al.
- Quantification of carbon monoxide emissions from African cities using TROPOMI G. Leguijt et al.
- Estimating enhancement ratios of nitrogen dioxide, carbon monoxide and carbon dioxide using satellite observations C. MacDonald et al.
- State-wide California 2020 carbon dioxide budget estimated with OCO-2 and OCO-3 satellite data M. Johnson et al.
- Towards a sector-specific CO∕CO2 emission ratio: satellite-based observations of CO release from steel production in Germany O. Schneising et al.
- Leveraging wide snapshot XCO2 pre-training to estimate urban fossil fuel CO2 emissions from space Z. Wang et al.
- Atmospheric CO2 dynamics in a coastal megacity: spatiotemporal patterns, sea–land breeze impacts, and anthropogenic–biogenic emission partitioning J. Zhang et al.
- Revealing the Covariation of Atmospheric O2 and Pollutants in an Industrial Metropolis by Explainable Machine Learning X. Liu et al.
- Global Carbon Monoxide Column Derived from HIRAS-II/FY-3F Satellite Observations M. Zhou et al.
- Assessing BC and CO emissions from China using EMeRGe aircraft observations and WRF/CMAQ modelling P. Ha et al.
- Analysis of the carbon emission driving factors and prediction of a carbon peak scenario——A case study of Xi'an city Y. Zhang et al.
- Theoretical assessment of the ability of the MicroCarb satellite city-scan observing mode to estimate urban CO2 emissions K. Wu et al.
- “Urban Respiration” Revealed by Atmospheric O2 Measurements in an Industrial Metropolis X. Liu et al.
- Observational insights into atmospheric CO2 and CO at the urban canopy layer top in Metropolitan Shanghai, China S. Fu et al.
- 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.
- TROPOMI/WFMD v2.0: Improved retrievals of XCH4 and XCO with XGBoost-based quality filtering O. Schneising et al.
24 citations as recorded by crossref.
- Observed decade-long improvement of combustion efficiency in the Yangtze River Delta region in China J. Zhao et al.
- Synergy of Multiple‐Satellite Measurements to Fill the Gap of Global XCO2 J. Lee et al.
- Evaluating the consistency between OCO-2 and OCO-3 XCO2 estimates derived from the NASA ACOS version 10 retrieval algorithm T. Taylor et al.
- Quantifying CO emissions from boreal wildfires by assimilating TROPOMI and TCCON observations S. Voshtani et al.
- Seasonal and Diurnal Variations in XCO2 Characteristics in China as Observed by OCO‐2/3 Satellites: Effects of Land Cover and Local Meteorology H. Zhao et al.
- Optimal selection of satellite XCO2 images for urban CO2 emission monitoring A. Danjou et al.
- Comparing space-based to reported carbon monoxide emission estimates for Europe's iron and steel plants G. Leguijt et al.
- Dual-comb spectroscopy over a 100 km open-air path J. Han et al.
- A simplified non-linear chemistry transport model for analyzing NO2 column observations: STILT–NOx D. Wu et al.
- Quantification of carbon monoxide emissions from African cities using TROPOMI G. Leguijt et al.
- Estimating enhancement ratios of nitrogen dioxide, carbon monoxide and carbon dioxide using satellite observations C. MacDonald et al.
- State-wide California 2020 carbon dioxide budget estimated with OCO-2 and OCO-3 satellite data M. Johnson et al.
- Towards a sector-specific CO∕CO2 emission ratio: satellite-based observations of CO release from steel production in Germany O. Schneising et al.
- Leveraging wide snapshot XCO2 pre-training to estimate urban fossil fuel CO2 emissions from space Z. Wang et al.
- Atmospheric CO2 dynamics in a coastal megacity: spatiotemporal patterns, sea–land breeze impacts, and anthropogenic–biogenic emission partitioning J. Zhang et al.
- Revealing the Covariation of Atmospheric O2 and Pollutants in an Industrial Metropolis by Explainable Machine Learning X. Liu et al.
- Global Carbon Monoxide Column Derived from HIRAS-II/FY-3F Satellite Observations M. Zhou et al.
- Assessing BC and CO emissions from China using EMeRGe aircraft observations and WRF/CMAQ modelling P. Ha et al.
- Analysis of the carbon emission driving factors and prediction of a carbon peak scenario——A case study of Xi'an city Y. Zhang et al.
- Theoretical assessment of the ability of the MicroCarb satellite city-scan observing mode to estimate urban CO2 emissions K. Wu et al.
- “Urban Respiration” Revealed by Atmospheric O2 Measurements in an Industrial Metropolis X. Liu et al.
- Observational insights into atmospheric CO2 and CO at the urban canopy layer top in Metropolitan Shanghai, China S. Fu et al.
- 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.
- TROPOMI/WFMD v2.0: Improved retrievals of XCH4 and XCO with XGBoost-based quality filtering O. Schneising et al.
Saved (final revised paper)
Latest update: 09 May 2026
Short summary
Prior studies have derived the combustion efficiency for a region/city using observed CO2 and CO. We further zoomed into the urban domain and accounted for factors affecting the calculation of spatially resolved combustion efficiency from two satellites. The intra-city variability in combustion efficiency was linked to heavy industry within Shanghai and LA without relying on emission inventories. Such an approach can be applied when analyzing data from future geostationary satellites.
Prior studies have derived the combustion efficiency for a region/city using observed CO2 and...
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