Articles | Volume 13, issue 8
https://doi.org/10.5194/acp-13-4349-2013
© Author(s) 2013. 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-13-4349-2013
© Author(s) 2013. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Research article
| 
26 Apr 2013
Research article |
| 26 Apr 2013
Towards constraints on fossil fuel emissions from total column carbon dioxide
G. Keppel-Aleks
California Institute of Technology, Pasadena, CA, USA
University of California, Irvine, CA, USA
P. O. Wennberg
California Institute of Technology, Pasadena, CA, USA
C. W. O'Dell
Colorado State University, Fort Collins, CO, USA
California Institute of Technology, Pasadena, CA, USA
Viewed
Total article views: 4,808 (including HTML, PDF, and XML)
Cumulative views and downloads
(calculated since 01 Feb 2013, article published on 21 Nov 2012)
| HTML | XML | Total | BibTeX | EndNote | |
|---|---|---|---|---|---|
| 2,571 | 2,094 | 143 | 4,808 | 153 | 121 |
- HTML: 2,571
- PDF: 2,094
- XML: 143
- Total: 4,808
- BibTeX: 153
- EndNote: 121
Total article views: 4,066 (including HTML, PDF, and XML)
Cumulative views and downloads
(calculated since 26 Apr 2013)
| HTML | XML | Total | BibTeX | EndNote | |
|---|---|---|---|---|---|
| 2,202 | 1,738 | 126 | 4,066 | 134 | 116 |
- HTML: 2,202
- PDF: 1,738
- XML: 126
- Total: 4,066
- BibTeX: 134
- EndNote: 116
Total article views: 742 (including HTML, PDF, and XML)
Cumulative views and downloads
(calculated since 01 Feb 2013, article published on 21 Nov 2012)
| HTML | XML | Total | BibTeX | EndNote | |
|---|---|---|---|---|---|
| 369 | 356 | 17 | 742 | 19 | 5 |
- HTML: 369
- PDF: 356
- XML: 17
- Total: 742
- BibTeX: 19
- EndNote: 5
Cited
32 citations as recorded by crossref.
- Constraining sector-specific CO2 and CH4 emissions in the US S. Miller & A. Michalak 10.5194/acp-17-3963-2017
- Specific patterns of XCO2 observed by GOSAT during 2009–2016 and assessed with model simulations over China N. Bie et al. 10.1007/s11430-018-9377-7
- Toward anthropogenic combustion emission constraints from space‐based analysis of urban CO2/CO sensitivity S. Silva et al. 10.1002/grl.50954
- A Data-Driven Assessment of Biosphere-Atmosphere Interaction Impact on Seasonal Cycle Patterns of XCO2 Using GOSAT and MODIS Observations Z. He et al. 10.3390/rs9030251
- Retrieval of atmospheric CO2 vertical profiles from ground-based near-infrared spectra S. Roche et al. 10.5194/amt-14-3087-2021
- Carbon Monitoring Satellite (CarbonSat): assessment of atmospheric CO2 and CH4 retrieval errors by error parameterization M. Buchwitz et al. 10.5194/amt-6-3477-2013
- Prediction of Satellite-Based Column CO2 Concentration by Combining Emission Inventory and LULC Information S. Bhattacharjee & J. Chen 10.1109/TGRS.2020.2985047
- Remote Sensing Monitoring and Analysis of Spatiotemporal Changes in China’s Anthropogenic Carbon Emissions Based on XCO2 Data Y. Wang et al. 10.3390/rs15123207
- A Top-Down Method for Estimating Regional Fossil Fuel Carbon Emissions Based on Satellite XCO2 Retrievals L. Zhang et al. 10.3390/rs17030447
- China high resolution emission database (CHRED) with point emission sources, gridded emission data, and supplementary socioeconomic data B. Cai et al. 10.1016/j.resconrec.2017.10.036
- Detecting the Responses of CO2 Column Abundances to Anthropogenic Emissions from Satellite Observations of GOSAT and OCO-2 M. Sheng et al. 10.3390/rs13173524
- An Assessment of Anthropogenic CO2 Emissions by Satellite-Based Observations in China S. Yang et al. 10.3390/s19051118
- Global land 1° mapping dataset of XCO2 from satellite observations of GOSAT and OCO-2 from 2009 to 2020 M. Sheng et al. 10.1080/20964471.2022.2033149
- The Facility Level and Area Methane Emissions inventory for the Greater Toronto Area (FLAME-GTA) N. Mostafavi Pak et al. 10.1016/j.atmosenv.2021.118319
- Tracking city CO2 emissions from space using a high-resolution inverse modelling approach: a case study for Berlin, Germany D. Pillai et al. 10.5194/acp-16-9591-2016
- Satellite Monitoring of Natural Reforestation Efforts in China's Drylands C. Gerlein-Safdi et al. 10.1016/j.oneear.2019.12.015
- Study of Climate Change Detection in North-East Africa Using Machine Learning and Satellite Data S. Ibrahim et al. 10.1109/JSTARS.2021.3120987
- Global land mapping of satellite-observed CO2 total columns using spatio-temporal geostatistics Z. Zeng et al. 10.1080/17538947.2016.1156777
- Detection of Spatiotemporal Extreme Changes in Atmospheric CO2 Concentration Based on Satellite Observations Z. He et al. 10.3390/rs10060839
- A Cluster of CO2 Change Characteristics with GOSAT Observations for Viewing the Spatial Pattern of CO2 Emission and Absorption D. Liu et al. 10.3390/atmos6111695
- Global Per Capita CO2 Emission Trends S. Yang et al. 10.3390/atmos14121797
- Regional uncertainty of GOSAT XCO2 retrievals in China: quantification and attribution N. Bie et al. 10.5194/amt-11-1251-2018
- Neural-network-based estimation of regional-scale anthropogenic CO2 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
- Evaluation of Spatio-Temporal Variogram Models for Mapping Xco2Using Satellite Observations: A Case Study in China L. Guo et al. 10.1109/JSTARS.2014.2363019
- Spatiotemporal patterns of the fossil-fuel CO2 signal in central Europe: results from a high-resolution atmospheric transport model Y. Liu et al. 10.5194/acp-17-14145-2017
- Emissions and topographic effects on column CO2 () variations, with a focus on the Southern California Megacity J. Hedelius et al. 10.1002/2017JD026455
- Identifying local anthropogenic CO2 emissions with satellite retrievals: a case study in South Korea C. Shim et al. 10.1080/01431161.2018.1523585
- Constraining Fossil Fuel CO2 Emissions From Urban Area Using OCO‐2 Observations of Total Column CO2 X. Ye et al. 10.1029/2019JD030528
- Interannual and Seasonal Cycles of CO2 from GOSAT and AIRS N. Ying et al. 10.1088/1755-1315/237/2/022003
- Evaluating Anthropogenic CO2 Bottom-Up Emission Inventories Using Satellite Observations from GOSAT and OCO-2 S. Zhang et al. 10.3390/rs14195024
- The spatiotemporal evolution and impact mechanism of energy consumption carbon emissions in China from 2010 to 2020 by integrating multisource remote sensing data M. Wang et al. 10.1016/j.jenvman.2023.119054
- Anthropogenic carbon dioxide source areas observed from space: assessment of regional enhancements and trends O. Schneising et al. 10.5194/acp-13-2445-2013
31 citations as recorded by crossref.
- Constraining sector-specific CO2 and CH4 emissions in the US S. Miller & A. Michalak 10.5194/acp-17-3963-2017
- Specific patterns of XCO2 observed by GOSAT during 2009–2016 and assessed with model simulations over China N. Bie et al. 10.1007/s11430-018-9377-7
- Toward anthropogenic combustion emission constraints from space‐based analysis of urban CO2/CO sensitivity S. Silva et al. 10.1002/grl.50954
- A Data-Driven Assessment of Biosphere-Atmosphere Interaction Impact on Seasonal Cycle Patterns of XCO2 Using GOSAT and MODIS Observations Z. He et al. 10.3390/rs9030251
- Retrieval of atmospheric CO2 vertical profiles from ground-based near-infrared spectra S. Roche et al. 10.5194/amt-14-3087-2021
- Carbon Monitoring Satellite (CarbonSat): assessment of atmospheric CO2 and CH4 retrieval errors by error parameterization M. Buchwitz et al. 10.5194/amt-6-3477-2013
- Prediction of Satellite-Based Column CO2 Concentration by Combining Emission Inventory and LULC Information S. Bhattacharjee & J. Chen 10.1109/TGRS.2020.2985047
- Remote Sensing Monitoring and Analysis of Spatiotemporal Changes in China’s Anthropogenic Carbon Emissions Based on XCO2 Data Y. Wang et al. 10.3390/rs15123207
- A Top-Down Method for Estimating Regional Fossil Fuel Carbon Emissions Based on Satellite XCO2 Retrievals L. Zhang et al. 10.3390/rs17030447
- China high resolution emission database (CHRED) with point emission sources, gridded emission data, and supplementary socioeconomic data B. Cai et al. 10.1016/j.resconrec.2017.10.036
- Detecting the Responses of CO2 Column Abundances to Anthropogenic Emissions from Satellite Observations of GOSAT and OCO-2 M. Sheng et al. 10.3390/rs13173524
- An Assessment of Anthropogenic CO2 Emissions by Satellite-Based Observations in China S. Yang et al. 10.3390/s19051118
- Global land 1° mapping dataset of XCO2 from satellite observations of GOSAT and OCO-2 from 2009 to 2020 M. Sheng et al. 10.1080/20964471.2022.2033149
- The Facility Level and Area Methane Emissions inventory for the Greater Toronto Area (FLAME-GTA) N. Mostafavi Pak et al. 10.1016/j.atmosenv.2021.118319
- Tracking city CO2 emissions from space using a high-resolution inverse modelling approach: a case study for Berlin, Germany D. Pillai et al. 10.5194/acp-16-9591-2016
- Satellite Monitoring of Natural Reforestation Efforts in China's Drylands C. Gerlein-Safdi et al. 10.1016/j.oneear.2019.12.015
- Study of Climate Change Detection in North-East Africa Using Machine Learning and Satellite Data S. Ibrahim et al. 10.1109/JSTARS.2021.3120987
- Global land mapping of satellite-observed CO2 total columns using spatio-temporal geostatistics Z. Zeng et al. 10.1080/17538947.2016.1156777
- Detection of Spatiotemporal Extreme Changes in Atmospheric CO2 Concentration Based on Satellite Observations Z. He et al. 10.3390/rs10060839
- A Cluster of CO2 Change Characteristics with GOSAT Observations for Viewing the Spatial Pattern of CO2 Emission and Absorption D. Liu et al. 10.3390/atmos6111695
- Global Per Capita CO2 Emission Trends S. Yang et al. 10.3390/atmos14121797
- Regional uncertainty of GOSAT XCO2 retrievals in China: quantification and attribution N. Bie et al. 10.5194/amt-11-1251-2018
- Neural-network-based estimation of regional-scale anthropogenic CO2 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
- Evaluation of Spatio-Temporal Variogram Models for Mapping Xco2Using Satellite Observations: A Case Study in China L. Guo et al. 10.1109/JSTARS.2014.2363019
- Spatiotemporal patterns of the fossil-fuel CO2 signal in central Europe: results from a high-resolution atmospheric transport model Y. Liu et al. 10.5194/acp-17-14145-2017
- Emissions and topographic effects on column CO2 () variations, with a focus on the Southern California Megacity J. Hedelius et al. 10.1002/2017JD026455
- Identifying local anthropogenic CO2 emissions with satellite retrievals: a case study in South Korea C. Shim et al. 10.1080/01431161.2018.1523585
- Constraining Fossil Fuel CO2 Emissions From Urban Area Using OCO‐2 Observations of Total Column CO2 X. Ye et al. 10.1029/2019JD030528
- Interannual and Seasonal Cycles of CO2 from GOSAT and AIRS N. Ying et al. 10.1088/1755-1315/237/2/022003
- Evaluating Anthropogenic CO2 Bottom-Up Emission Inventories Using Satellite Observations from GOSAT and OCO-2 S. Zhang et al. 10.3390/rs14195024
- The spatiotemporal evolution and impact mechanism of energy consumption carbon emissions in China from 2010 to 2020 by integrating multisource remote sensing data M. Wang et al. 10.1016/j.jenvman.2023.119054
Saved (final revised paper)
Discussed (final revised paper)
Latest update: 02 Jul 2025
Altmetrics
Final-revised paper
Preprint