Articles | Volume 13, issue 5
https://doi.org/10.5194/acp-13-2445-2013
© 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-13-2445-2013
© Author(s) 2013. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Research article
| 
04 Mar 2013
Research article |
| 04 Mar 2013
Anthropogenic carbon dioxide source areas observed from space: assessment of regional enhancements and trends
O. Schneising
Institute of Environmental Physics (IUP), University of Bremen FB1, Bremen, Germany
J. Heymann
Institute of Environmental Physics (IUP), University of Bremen FB1, Bremen, Germany
M. Buchwitz
Institute of Environmental Physics (IUP), University of Bremen FB1, Bremen, Germany
M. Reuter
Institute of Environmental Physics (IUP), University of Bremen FB1, Bremen, Germany
H. Bovensmann
Institute of Environmental Physics (IUP), University of Bremen FB1, Bremen, Germany
J. P. Burrows
Institute of Environmental Physics (IUP), University of Bremen FB1, Bremen, Germany
Viewed
Total article views: 10,064 (including HTML, PDF, and XML)
Cumulative views and downloads
(calculated since 01 Feb 2013, article published on 06 Dec 2012)
| HTML | XML | Total | BibTeX | EndNote | |
|---|---|---|---|---|---|
| 5,449 | 4,410 | 205 | 10,064 | 284 | 260 |
- HTML: 5,449
- PDF: 4,410
- XML: 205
- Total: 10,064
- BibTeX: 284
- EndNote: 260
Total article views: 9,192 (including HTML, PDF, and XML)
Cumulative views and downloads
(calculated since 04 Mar 2013)
| HTML | XML | Total | BibTeX | EndNote | |
|---|---|---|---|---|---|
| 4,967 | 4,044 | 181 | 9,192 | 266 | 245 |
- HTML: 4,967
- PDF: 4,044
- XML: 181
- Total: 9,192
- BibTeX: 266
- EndNote: 245
Total article views: 872 (including HTML, PDF, and XML)
Cumulative views and downloads
(calculated since 01 Feb 2013, article published on 06 Dec 2012)
| HTML | XML | Total | BibTeX | EndNote | |
|---|---|---|---|---|---|
| 482 | 366 | 24 | 872 | 18 | 15 |
- HTML: 482
- PDF: 366
- XML: 24
- Total: 872
- BibTeX: 18
- EndNote: 15
Cited
63 citations as recorded by crossref.
- Global satellite observations of column-averaged carbon dioxide and methane: The GHG-CCI XCO2 and XCH4 CRDP3 data set M. Buchwitz et al. https://doi.org/10.1016/j.rse.2016.12.027
- Leveraging wide snapshot XCO2 pre-training to estimate urban fossil fuel CO2 emissions from space Z. Wang et al. https://doi.org/10.1016/j.rse.2026.115260
- Global land 1° mapping dataset of XCO2 from satellite observations of GOSAT and OCO-2 from 2009 to 2020 M. Sheng et al. https://doi.org/10.1080/20964471.2022.2033149
- Assessment of the biospheric contribution to surface atmospheric CO2 concentrations over East Asia with a regional chemical transport model X. Kou et al. https://doi.org/10.1007/s00376-014-4059-6
- Convergence of carbon intensity in the Yangtze River Delta, China J. Li et al. https://doi.org/10.1016/j.habitatint.2016.12.012
- Constraining Fossil Fuel CO2 Emissions From Urban Area Using OCO‐2 Observations of Total Column CO2 X. Ye et al. https://doi.org/10.1029/2019JD030528
- A high-altitude balloon platform for determining exchange of carbon dioxide over agricultural landscapes A. Bouche et al. https://doi.org/10.5194/amt-9-5707-2016
- Emissions estimation from satellite retrievals: A review of current capability D. Streets et al. https://doi.org/10.1016/j.atmosenv.2013.05.051
- Evaluating Anthropogenic CO2 Bottom-Up Emission Inventories Using Satellite Observations from GOSAT and OCO-2 S. Zhang et al. https://doi.org/10.3390/rs14195024
- A methodology to constrain carbon dioxide emissions from coal-fired power plants using satellite observations of co-emitted nitrogen dioxide F. Liu et al. https://doi.org/10.5194/acp-20-99-2020
- The Open-source Data Inventory for Anthropogenic CO2, version 2016 (ODIAC2016): a global monthly fossil fuel CO2 gridded emissions data product for tracer transport simulations and surface flux inversions T. Oda et al. https://doi.org/10.5194/essd-10-87-2018
- Construction and Application of a Regional Kilometer-Scale Carbon Source and Sink Assimilation Inversion System (CCMVS-R) L. Guo et al. https://doi.org/10.1016/j.eng.2023.02.017
- Stratospheric CH4 and CO2 profiles derived from SCIAMACHY solar occultation measurements S. Noël et al. https://doi.org/10.5194/amt-9-1485-2016
- Study of satellite retrieved CO2 and CH4 concentration over India P. Prasad et al. https://doi.org/10.1016/j.asr.2014.07.021
- Geostationary Emission Explorer for Europe (G3E): mission concept and initial performance assessment A. Butz et al. https://doi.org/10.5194/amt-8-4719-2015
- Anthropogenic CO2 emissions assessment of Nile Delta using XCO2 and SIF data from OCO-2 satellite A. Shekhar et al. https://doi.org/10.1088/1748-9326/ab9cfe
- Carbon Monitoring Satellite (CarbonSat): assessment of atmospheric CO2 and CH4 retrieval errors by error parameterization M. Buchwitz et al. https://doi.org/10.5194/amt-6-3477-2013
- Consistent satellite XCO2 retrievals from SCIAMACHY and GOSAT using the BESD algorithm J. Heymann et al. https://doi.org/10.5194/amt-8-2961-2015
- Can a regional-scale reduction of atmospheric CO2 during the COVID-19 pandemic be detected from space? A case study for East China using satellite XCO2 retrievals M. Buchwitz et al. https://doi.org/10.5194/amt-14-2141-2021
- The role of satellite remote sensing in mitigating and adapting to global climate change S. Zhao et al. https://doi.org/10.1016/j.scitotenv.2023.166820
- Bias present in US federal agency power plant CO 2 emissions data and implications for the US clean power plan K. Gurney et al. https://doi.org/10.1088/1748-9326/11/6/064005
- Terrestrial carbon sink observed from space: variation of growth rates and seasonal cycle amplitudes in response to interannual surface temperature variability O. Schneising et al. https://doi.org/10.5194/acp-14-133-2014
- Large Uncertainties in Urban‐Scale Carbon Emissions C. Gately & L. Hutyra https://doi.org/10.1002/2017JD027359
- Measuring and Monitoring Urban Impacts on Climate Change from Space C. Milesi & G. Churkina https://doi.org/10.3390/rs12213494
- The potential of CO2 satellite monitoring for climate governance: A review G. Pan et al. https://doi.org/10.1016/j.jenvman.2020.111423
- Characterization of Aerosol and CO2 Co-Emissions around Power Plants through Satellite-Based Synergistic Observations L. Sun et al. https://doi.org/10.3390/rs16091609
- Direct space‐based observations of anthropogenic CO2 emission areas from OCO‐2 J. Hakkarainen et al. https://doi.org/10.1002/2016GL070885
- Modeling the impact of media awareness programs on mitigation of carbon dioxide emitted from automobiles S. Sundar et al. https://doi.org/10.1007/s40808-017-0401-1
- Assessing Greenhouse Gas Monitoring Capabilities Using SolAtmos End-to-End Simulator: Application to the Uvsq-Sat NG Mission C. Clavier et al. https://doi.org/10.3390/rs16081442
- XCO2 retrieval for GOSAT and GOSAT-2 based on the FOCAL algorithm S. Noël et al. https://doi.org/10.5194/amt-14-3837-2021
- Spatiotemporal variability of atmospheric CO2 concentration and controlling factors over sugarcane cultivation areas in southern Brazil L. da Costa et al. https://doi.org/10.1007/s10668-021-01677-6
- Towards monitoring localized CO2 emissions from space: co-located regional CO2 and NO2 enhancements observed by the OCO-2 and S5P satellites M. Reuter et al. https://doi.org/10.5194/acp-19-9371-2019
- A Lagrangian approach towards extracting signals of urban CO2 emissions from satellite observations of atmospheric column CO2 (XCO2): X-Stochastic Time-Inverted Lagrangian Transport model (“X-STILT v1”) D. Wu et al. https://doi.org/10.5194/gmd-11-4843-2018
- A Method for Estimating the Background Column Concentration of CO2 Using the Lagrangian Approach Z. Pei et al. https://doi.org/10.1109/TGRS.2022.3176134
- Application of ARIMAX for analyzing and forecasting regional carbon emissions towards sustainable development: a case study of Changzhou, China F. Han et al. https://doi.org/10.1007/s11356-025-36941-z
- Decreasing emissions of NOx relative to CO2 in East Asia inferred from satellite observations M. Reuter et al. https://doi.org/10.1038/ngeo2257
- Toward anthropogenic combustion emission constraints from space‐based analysis of urban CO2/CO sensitivity S. Silva et al. https://doi.org/10.1002/grl.50954
- Retrieving the atmospheric concentrations of carbon dioxide and methane from the European Copernicus CO2M satellite mission using artificial neural networks M. Reuter et al. https://doi.org/10.5194/amt-18-241-2025
- Constraining sector-specific CO2 and CH4 emissions in the US S. Miller & A. Michalak https://doi.org/10.5194/acp-17-3963-2017
- The amplitude of the CO2 seasonal cycle in the atmosphere of the Ural region retrieved from ground-based and satellite near-IR measurements N. Rokotyan et al. https://doi.org/10.1134/S102485601501011X
- Bias Correction of the Ratio of Total Column CH4 to CO2 Retrieved from GOSAT Spectra H. Oshio et al. https://doi.org/10.3390/rs12193155
- Constraining urban fossil fuel CO2 emissions in Seoul using combined ground and satellite observations with Bayesian inverse modelling S. Sim & S. Jeong https://doi.org/10.5194/acp-25-18509-2025
- Satellite-derived methane hotspot emission estimates using a fast data-driven method M. Buchwitz et al. https://doi.org/10.5194/acp-17-5751-2017
- Evaluating national and subnational CO2 mitigation goals in China’s thirteenth five-year plan from satellite observations G. Pan et al. https://doi.org/10.1016/j.envint.2021.106771
- Impacts of heterogeneous CO2 on water and carbon fluxes across the global land surface J. Tian et al. https://doi.org/10.1080/17538947.2021.1937352
- Computation and analysis of atmospheric carbon dioxide annual mean growth rates from satellite observations during 2003–2016 M. Buchwitz et al. https://doi.org/10.5194/acp-18-17355-2018
- Analysis of air pollutants concentration variations and human impact by remote sensing: Implications for sustainable urban air quality management C. Xiang et al. https://doi.org/10.1016/j.sftr.2025.101019
- A multiyear, global gridded fossil fuel CO2 emission data product: Evaluation and analysis of results S. Asefi‐Najafabady et al. https://doi.org/10.1002/2013JD021296
- Anthropogenic and natural controls on atmospheric δ13C-CO2 variations in the Yangtze River delta: insights from a carbon isotope modeling framework C. Hu et al. https://doi.org/10.5194/acp-21-10015-2021
- Towards constraints on fossil fuel emissions from total column carbon dioxide G. Keppel-Aleks et al. https://doi.org/10.5194/acp-13-4349-2013
- An Assessment of Anthropogenic CO2 Emissions by Satellite-Based Observations in China S. Yang et al. https://doi.org/10.3390/s19051118
- Spectral sizing of a coarse-spectral-resolution satellite sensor for XCO2 J. Wilzewski et al. https://doi.org/10.5194/amt-13-731-2020
- China high resolution emission database (CHRED) with point emission sources, gridded emission data, and supplementary socioeconomic data B. Cai et al. https://doi.org/10.1016/j.resconrec.2017.10.036
- An analysis of the global spatial variability of column-averaged CO2 from SCIAMACHY and its implications for CO2 sources and sinks Z. Zhang et al. https://doi.org/10.1080/01431161.2014.885151
- Spatio-Temporal Mapping of Multi-Satellite Observed Column Atmospheric CO2 Using Precision-Weighted Kriging Method Z. He et al. https://doi.org/10.3390/rs12030576
- Satellite Data Applications for Sustainable Energy Transitions M. Edwards et al. https://doi.org/10.3389/frsus.2022.910924
- Design and application of a mobile ground-based observatory for continuous measurements of atmospheric trace gas and criteria pollutant species S. Bush et al. https://doi.org/10.5194/amt-8-3481-2015
- Bias corrections of GOSAT SWIR XCO<sub>2</sub> and XCH<sub>4</sub> with TCCON data and their evaluation using aircraft measurement data M. Inoue et al. https://doi.org/10.5194/amt-9-3491-2016
- Estimating Global Anthropogenic CO2 Gridded Emissions Using a Data-Driven Stacked Random Forest Regression Model Y. Zhang et al. https://doi.org/10.3390/rs14163899
- Working towards confident spaceborne monitoring of carbon emissions from cities using Orbiting Carbon Observatory-2 L. Labzovskii et al. https://doi.org/10.1016/j.rse.2019.111359
- Spatiotemporal variation analysis of global XCO2 concentration during 2010–2020 based on DINEOF-BME framework and wavelet function Z. Gao et al. https://doi.org/10.1016/j.scitotenv.2023.164750
- Detecting the Responses of CO2 Column Abundances to Anthropogenic Emissions from Satellite Observations of GOSAT and OCO-2 M. Sheng et al. https://doi.org/10.3390/rs13173524
- Tracking city CO2 emissions from space using a high-resolution inverse modelling approach: a case study for Berlin, Germany D. Pillai et al. https://doi.org/10.5194/acp-16-9591-2016
63 citations as recorded by crossref.
- Global satellite observations of column-averaged carbon dioxide and methane: The GHG-CCI XCO2 and XCH4 CRDP3 data set M. Buchwitz et al. https://doi.org/10.1016/j.rse.2016.12.027
- Leveraging wide snapshot XCO2 pre-training to estimate urban fossil fuel CO2 emissions from space Z. Wang et al. https://doi.org/10.1016/j.rse.2026.115260
- Global land 1° mapping dataset of XCO2 from satellite observations of GOSAT and OCO-2 from 2009 to 2020 M. Sheng et al. https://doi.org/10.1080/20964471.2022.2033149
- Assessment of the biospheric contribution to surface atmospheric CO2 concentrations over East Asia with a regional chemical transport model X. Kou et al. https://doi.org/10.1007/s00376-014-4059-6
- Convergence of carbon intensity in the Yangtze River Delta, China J. Li et al. https://doi.org/10.1016/j.habitatint.2016.12.012
- Constraining Fossil Fuel CO2 Emissions From Urban Area Using OCO‐2 Observations of Total Column CO2 X. Ye et al. https://doi.org/10.1029/2019JD030528
- A high-altitude balloon platform for determining exchange of carbon dioxide over agricultural landscapes A. Bouche et al. https://doi.org/10.5194/amt-9-5707-2016
- Emissions estimation from satellite retrievals: A review of current capability D. Streets et al. https://doi.org/10.1016/j.atmosenv.2013.05.051
- Evaluating Anthropogenic CO2 Bottom-Up Emission Inventories Using Satellite Observations from GOSAT and OCO-2 S. Zhang et al. https://doi.org/10.3390/rs14195024
- A methodology to constrain carbon dioxide emissions from coal-fired power plants using satellite observations of co-emitted nitrogen dioxide F. Liu et al. https://doi.org/10.5194/acp-20-99-2020
- The Open-source Data Inventory for Anthropogenic CO2, version 2016 (ODIAC2016): a global monthly fossil fuel CO2 gridded emissions data product for tracer transport simulations and surface flux inversions T. Oda et al. https://doi.org/10.5194/essd-10-87-2018
- Construction and Application of a Regional Kilometer-Scale Carbon Source and Sink Assimilation Inversion System (CCMVS-R) L. Guo et al. https://doi.org/10.1016/j.eng.2023.02.017
- Stratospheric CH4 and CO2 profiles derived from SCIAMACHY solar occultation measurements S. Noël et al. https://doi.org/10.5194/amt-9-1485-2016
- Study of satellite retrieved CO2 and CH4 concentration over India P. Prasad et al. https://doi.org/10.1016/j.asr.2014.07.021
- Geostationary Emission Explorer for Europe (G3E): mission concept and initial performance assessment A. Butz et al. https://doi.org/10.5194/amt-8-4719-2015
- Anthropogenic CO2 emissions assessment of Nile Delta using XCO2 and SIF data from OCO-2 satellite A. Shekhar et al. https://doi.org/10.1088/1748-9326/ab9cfe
- Carbon Monitoring Satellite (CarbonSat): assessment of atmospheric CO2 and CH4 retrieval errors by error parameterization M. Buchwitz et al. https://doi.org/10.5194/amt-6-3477-2013
- Consistent satellite XCO2 retrievals from SCIAMACHY and GOSAT using the BESD algorithm J. Heymann et al. https://doi.org/10.5194/amt-8-2961-2015
- Can a regional-scale reduction of atmospheric CO2 during the COVID-19 pandemic be detected from space? A case study for East China using satellite XCO2 retrievals M. Buchwitz et al. https://doi.org/10.5194/amt-14-2141-2021
- The role of satellite remote sensing in mitigating and adapting to global climate change S. Zhao et al. https://doi.org/10.1016/j.scitotenv.2023.166820
- Bias present in US federal agency power plant CO 2 emissions data and implications for the US clean power plan K. Gurney et al. https://doi.org/10.1088/1748-9326/11/6/064005
- Terrestrial carbon sink observed from space: variation of growth rates and seasonal cycle amplitudes in response to interannual surface temperature variability O. Schneising et al. https://doi.org/10.5194/acp-14-133-2014
- Large Uncertainties in Urban‐Scale Carbon Emissions C. Gately & L. Hutyra https://doi.org/10.1002/2017JD027359
- Measuring and Monitoring Urban Impacts on Climate Change from Space C. Milesi & G. Churkina https://doi.org/10.3390/rs12213494
- The potential of CO2 satellite monitoring for climate governance: A review G. Pan et al. https://doi.org/10.1016/j.jenvman.2020.111423
- Characterization of Aerosol and CO2 Co-Emissions around Power Plants through Satellite-Based Synergistic Observations L. Sun et al. https://doi.org/10.3390/rs16091609
- Direct space‐based observations of anthropogenic CO2 emission areas from OCO‐2 J. Hakkarainen et al. https://doi.org/10.1002/2016GL070885
- Modeling the impact of media awareness programs on mitigation of carbon dioxide emitted from automobiles S. Sundar et al. https://doi.org/10.1007/s40808-017-0401-1
- Assessing Greenhouse Gas Monitoring Capabilities Using SolAtmos End-to-End Simulator: Application to the Uvsq-Sat NG Mission C. Clavier et al. https://doi.org/10.3390/rs16081442
- XCO2 retrieval for GOSAT and GOSAT-2 based on the FOCAL algorithm S. Noël et al. https://doi.org/10.5194/amt-14-3837-2021
- Spatiotemporal variability of atmospheric CO2 concentration and controlling factors over sugarcane cultivation areas in southern Brazil L. da Costa et al. https://doi.org/10.1007/s10668-021-01677-6
- Towards monitoring localized CO2 emissions from space: co-located regional CO2 and NO2 enhancements observed by the OCO-2 and S5P satellites M. Reuter et al. https://doi.org/10.5194/acp-19-9371-2019
- A Lagrangian approach towards extracting signals of urban CO2 emissions from satellite observations of atmospheric column CO2 (XCO2): X-Stochastic Time-Inverted Lagrangian Transport model (“X-STILT v1”) D. Wu et al. https://doi.org/10.5194/gmd-11-4843-2018
- A Method for Estimating the Background Column Concentration of CO2 Using the Lagrangian Approach Z. Pei et al. https://doi.org/10.1109/TGRS.2022.3176134
- Application of ARIMAX for analyzing and forecasting regional carbon emissions towards sustainable development: a case study of Changzhou, China F. Han et al. https://doi.org/10.1007/s11356-025-36941-z
- Decreasing emissions of NOx relative to CO2 in East Asia inferred from satellite observations M. Reuter et al. https://doi.org/10.1038/ngeo2257
- Toward anthropogenic combustion emission constraints from space‐based analysis of urban CO2/CO sensitivity S. Silva et al. https://doi.org/10.1002/grl.50954
- Retrieving the atmospheric concentrations of carbon dioxide and methane from the European Copernicus CO2M satellite mission using artificial neural networks M. Reuter et al. https://doi.org/10.5194/amt-18-241-2025
- Constraining sector-specific CO2 and CH4 emissions in the US S. Miller & A. Michalak https://doi.org/10.5194/acp-17-3963-2017
- The amplitude of the CO2 seasonal cycle in the atmosphere of the Ural region retrieved from ground-based and satellite near-IR measurements N. Rokotyan et al. https://doi.org/10.1134/S102485601501011X
- Bias Correction of the Ratio of Total Column CH4 to CO2 Retrieved from GOSAT Spectra H. Oshio et al. https://doi.org/10.3390/rs12193155
- Constraining urban fossil fuel CO2 emissions in Seoul using combined ground and satellite observations with Bayesian inverse modelling S. Sim & S. Jeong https://doi.org/10.5194/acp-25-18509-2025
- Satellite-derived methane hotspot emission estimates using a fast data-driven method M. Buchwitz et al. https://doi.org/10.5194/acp-17-5751-2017
- Evaluating national and subnational CO2 mitigation goals in China’s thirteenth five-year plan from satellite observations G. Pan et al. https://doi.org/10.1016/j.envint.2021.106771
- Impacts of heterogeneous CO2 on water and carbon fluxes across the global land surface J. Tian et al. https://doi.org/10.1080/17538947.2021.1937352
- Computation and analysis of atmospheric carbon dioxide annual mean growth rates from satellite observations during 2003–2016 M. Buchwitz et al. https://doi.org/10.5194/acp-18-17355-2018
- Analysis of air pollutants concentration variations and human impact by remote sensing: Implications for sustainable urban air quality management C. Xiang et al. https://doi.org/10.1016/j.sftr.2025.101019
- A multiyear, global gridded fossil fuel CO2 emission data product: Evaluation and analysis of results S. Asefi‐Najafabady et al. https://doi.org/10.1002/2013JD021296
- Anthropogenic and natural controls on atmospheric δ13C-CO2 variations in the Yangtze River delta: insights from a carbon isotope modeling framework C. Hu et al. https://doi.org/10.5194/acp-21-10015-2021
- Towards constraints on fossil fuel emissions from total column carbon dioxide G. Keppel-Aleks et al. https://doi.org/10.5194/acp-13-4349-2013
- An Assessment of Anthropogenic CO2 Emissions by Satellite-Based Observations in China S. Yang et al. https://doi.org/10.3390/s19051118
- Spectral sizing of a coarse-spectral-resolution satellite sensor for XCO2 J. Wilzewski et al. https://doi.org/10.5194/amt-13-731-2020
- China high resolution emission database (CHRED) with point emission sources, gridded emission data, and supplementary socioeconomic data B. Cai et al. https://doi.org/10.1016/j.resconrec.2017.10.036
- An analysis of the global spatial variability of column-averaged CO2 from SCIAMACHY and its implications for CO2 sources and sinks Z. Zhang et al. https://doi.org/10.1080/01431161.2014.885151
- Spatio-Temporal Mapping of Multi-Satellite Observed Column Atmospheric CO2 Using Precision-Weighted Kriging Method Z. He et al. https://doi.org/10.3390/rs12030576
- Satellite Data Applications for Sustainable Energy Transitions M. Edwards et al. https://doi.org/10.3389/frsus.2022.910924
- Design and application of a mobile ground-based observatory for continuous measurements of atmospheric trace gas and criteria pollutant species S. Bush et al. https://doi.org/10.5194/amt-8-3481-2015
- Bias corrections of GOSAT SWIR XCO<sub>2</sub> and XCH<sub>4</sub> with TCCON data and their evaluation using aircraft measurement data M. Inoue et al. https://doi.org/10.5194/amt-9-3491-2016
- Estimating Global Anthropogenic CO2 Gridded Emissions Using a Data-Driven Stacked Random Forest Regression Model Y. Zhang et al. https://doi.org/10.3390/rs14163899
- Working towards confident spaceborne monitoring of carbon emissions from cities using Orbiting Carbon Observatory-2 L. Labzovskii et al. https://doi.org/10.1016/j.rse.2019.111359
- Spatiotemporal variation analysis of global XCO2 concentration during 2010–2020 based on DINEOF-BME framework and wavelet function Z. Gao et al. https://doi.org/10.1016/j.scitotenv.2023.164750
- Detecting the Responses of CO2 Column Abundances to Anthropogenic Emissions from Satellite Observations of GOSAT and OCO-2 M. Sheng et al. https://doi.org/10.3390/rs13173524
- Tracking city CO2 emissions from space using a high-resolution inverse modelling approach: a case study for Berlin, Germany D. Pillai et al. https://doi.org/10.5194/acp-16-9591-2016
Saved (final revised paper)
Latest update: 05 Sep 2026
Altmetrics
Final-revised paper
Preprint