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.
Research article
| 
01 Nov 2016
Research article |
| 01 Nov 2016
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
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- 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
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- The version 3 OMI NO<sub>2</sub> standard product N. Krotkov et al. 10.5194/amt-10-3133-2017
- 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
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- Toward Global Estimation of Ground-Level NO2 Pollution With Deep Learning and Remote Sensing L. Scheibenreif et al. 10.1109/TGRS.2022.3160827
- 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
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- Regional CO emission estimated from ground-based remote sensing at Hefei site, China C. Shan et al. 10.1016/j.atmosres.2019.02.005
- Source Attribution of Atmospheric CO2 Using 14C and 13C as Tracers in Two Chinese Megacities During Winter P. Wang et al. 10.1029/2022JD036504
- 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
- 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
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- Satellite data reveal a common combustion emission pathway for major cities in China W. Tang et al. 10.5194/acp-19-4269-2019
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- 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
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- 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
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Latest update: 24 Apr 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...
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