Articles | Volume 11, issue 2
Earth Syst. Sci. Data, 11, 687–703, 2019
https://doi.org/10.5194/essd-11-687-2019
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Earth Syst. Sci. Data, 11, 687–703, 2019
https://doi.org/10.5194/essd-11-687-2019
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
17 May 2019
17 May 2019
A global map of emission clumps for future monitoring of fossil fuel CO2 emissions from space
Yilong Wang et al.
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Cited
12 citations as recorded by crossref.
- PMIF v1.0: assessing the potential of satellite observations to constrain CO<sub>2</sub> emissions from large cities and point sources over the globe using synthetic data Y. Wang et al. 10.5194/gmd-13-5813-2020
- Quantifying CO<sub>2</sub> emissions of a city with the Copernicus Anthropogenic CO<sub>2</sub> Monitoring satellite mission G. Kuhlmann et al. 10.5194/amt-13-6733-2020
- Biofuel burning and human respiration bias on satellite estimates of fossil fuel CO2 emissions P. Ciais et al. 10.1088/1748-9326/ab7835
- Exploring spatiotemporal variation characteristics of China’s industrial carbon emissions on the basis of multi-source data Y. Fu et al. 10.1007/s11356-021-13092-5
- Urban Compactivity Models: Screening City Trends for the Urgency of Social and Environmental Sustainability N. Lobner et al. 10.3390/urbansci5040083
- Quantifying CO2 Emissions of Power Plants With CO2 and NO2 Imaging Satellites G. Kuhlmann et al. 10.3389/frsen.2021.689838
- A local- to national-scale inverse modeling system to assess the potential of spaceborne CO<sub>2</sub> measurements for the monitoring of anthropogenic emissions D. Santaren et al. 10.5194/amt-14-403-2021
- A city-level comparison of fossil-fuel and industry processes-induced CO2 emissions over the Beijing-Tianjin-Hebei region from eight emission inventories P. Han et al. 10.1186/s13021-020-00163-2
- The potential of a constellation of low earth orbit satellite imagers to monitor worldwide fossil fuel CO2 emissions from large cities and point sources F. Lespinas et al. 10.1186/s13021-020-00153-4
- Automated detection of atmospheric NO<sub>2</sub> plumes from satellite data: a tool to help infer anthropogenic combustion emissions D. Finch et al. 10.5194/amt-15-721-2022
- Toward an Operational Anthropogenic CO2 Emissions Monitoring and Verification Support Capacity G. Janssens-Maenhout et al. 10.1175/BAMS-D-19-0017.1
- Examining partial-column density retrieval of lower-tropospheric CO2 from GOSAT target observations over global megacities A. Kuze et al. 10.1016/j.rse.2022.112966
12 citations as recorded by crossref.
- PMIF v1.0: assessing the potential of satellite observations to constrain CO<sub>2</sub> emissions from large cities and point sources over the globe using synthetic data Y. Wang et al. 10.5194/gmd-13-5813-2020
- Quantifying CO<sub>2</sub> emissions of a city with the Copernicus Anthropogenic CO<sub>2</sub> Monitoring satellite mission G. Kuhlmann et al. 10.5194/amt-13-6733-2020
- Biofuel burning and human respiration bias on satellite estimates of fossil fuel CO2 emissions P. Ciais et al. 10.1088/1748-9326/ab7835
- Exploring spatiotemporal variation characteristics of China’s industrial carbon emissions on the basis of multi-source data Y. Fu et al. 10.1007/s11356-021-13092-5
- Urban Compactivity Models: Screening City Trends for the Urgency of Social and Environmental Sustainability N. Lobner et al. 10.3390/urbansci5040083
- Quantifying CO2 Emissions of Power Plants With CO2 and NO2 Imaging Satellites G. Kuhlmann et al. 10.3389/frsen.2021.689838
- A local- to national-scale inverse modeling system to assess the potential of spaceborne CO<sub>2</sub> measurements for the monitoring of anthropogenic emissions D. Santaren et al. 10.5194/amt-14-403-2021
- A city-level comparison of fossil-fuel and industry processes-induced CO2 emissions over the Beijing-Tianjin-Hebei region from eight emission inventories P. Han et al. 10.1186/s13021-020-00163-2
- The potential of a constellation of low earth orbit satellite imagers to monitor worldwide fossil fuel CO2 emissions from large cities and point sources F. Lespinas et al. 10.1186/s13021-020-00153-4
- Automated detection of atmospheric NO<sub>2</sub> plumes from satellite data: a tool to help infer anthropogenic combustion emissions D. Finch et al. 10.5194/amt-15-721-2022
- Toward an Operational Anthropogenic CO2 Emissions Monitoring and Verification Support Capacity G. Janssens-Maenhout et al. 10.1175/BAMS-D-19-0017.1
- Examining partial-column density retrieval of lower-tropospheric CO2 from GOSAT target observations over global megacities A. Kuze et al. 10.1016/j.rse.2022.112966
Latest update: 28 May 2022
Short summary
We address the question of the global characterization of fossil fuel CO2 emission hotspots that may cause coherent XCO2 plumes in space-borne CO2 images, based on the ODIAC global high-resolution 1 km fossil fuel emission data product. For space imagery with 0.5 ppm precision for a single XCO2 measurement, a total of 11 314 hotspots are identified, covering 72 % of the global emissions. These hotspots define the targets for the purpose of monitoring fossil fuel CO2 emissions from space.
We address the question of the global characterization of fossil fuel CO2 emission hotspots that...
