Research article
26 Apr 2013
Research article
| 26 Apr 2013
Towards constraints on fossil fuel emissions from total column carbon dioxide
G. Keppel-Aleks et al.
Viewed
Total article views: 3,514 (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 | |
---|---|---|---|---|---|
1,655 | 1,772 | 87 | 3,514 | 87 | 43 |
- HTML: 1,655
- PDF: 1,772
- XML: 87
- Total: 3,514
- BibTeX: 87
- EndNote: 43
Total article views: 2,836 (including HTML, PDF, and XML)
Cumulative views and downloads
(calculated since 26 Apr 2013)
HTML | XML | Total | BibTeX | EndNote | |
---|---|---|---|---|---|
1,295 | 1,471 | 70 | 2,836 | 71 | 40 |
- HTML: 1,295
- PDF: 1,471
- XML: 70
- Total: 2,836
- BibTeX: 71
- EndNote: 40
Total article views: 678 (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 | |
---|---|---|---|---|---|
360 | 301 | 17 | 678 | 16 | 3 |
- HTML: 360
- PDF: 301
- XML: 17
- Total: 678
- BibTeX: 16
- EndNote: 3
Cited
27 citations as recorded by crossref.
- Constraining sector-specific CO<sub>2</sub> and CH<sub>4</sub> 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 CO 2 /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 CO<sub>2</sub> 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 CO<sub>2</sub> and CH<sub>4</sub> 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
- 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 CO<sub>2</sub> 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
- Regional uncertainty of GOSAT XCO<sub>2</sub> retrievals in China: quantification and attribution N. Bie et al. 10.5194/amt-11-1251-2018
- 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
- Evaluation of Spatio-Temporal Variogram Models for Mapping Xco2 Using Satellite Observations: A Case Study in China L. Guo et al. 10.1109/JSTARS.2014.2363019
- Spatiotemporal patterns of the fossil-fuel CO<sub>2</sub> 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 CO 2 () 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 CO 2 Emissions From Urban Area Using OCO‐2 Observations of Total Column CO 2 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
- Anthropogenic carbon dioxide source areas observed from space: assessment of regional enhancements and trends O. Schneising et al. 10.5194/acp-13-2445-2013
26 citations as recorded by crossref.
- Constraining sector-specific CO<sub>2</sub> and CH<sub>4</sub> 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 CO 2 /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 CO<sub>2</sub> 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 CO<sub>2</sub> and CH<sub>4</sub> 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
- 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 CO<sub>2</sub> 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
- Regional uncertainty of GOSAT XCO<sub>2</sub> retrievals in China: quantification and attribution N. Bie et al. 10.5194/amt-11-1251-2018
- 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
- Evaluation of Spatio-Temporal Variogram Models for Mapping Xco2 Using Satellite Observations: A Case Study in China L. Guo et al. 10.1109/JSTARS.2014.2363019
- Spatiotemporal patterns of the fossil-fuel CO<sub>2</sub> 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 CO 2 () 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 CO 2 Emissions From Urban Area Using OCO‐2 Observations of Total Column CO 2 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
Saved (final revised paper)
Discussed (final revised paper)
Latest update: 06 Jul 2022
Altmetrics
Final-revised paper
Preprint