Articles | Volume 20, issue 14
https://doi.org/10.5194/acp-20-8501-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/acp-20-8501-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Observing carbon dioxide emissions over China's cities and industrial areas with the Orbiting Carbon Observatory-2
Laboratoire des Sciences du Climat et de l'Environnement,
CEA-CNRS-UVSQ, UMR8212, Gif-sur-Yvette, France
Frédéric Chevallier
Laboratoire des Sciences du Climat et de l'Environnement,
CEA-CNRS-UVSQ, UMR8212, Gif-sur-Yvette, France
Philippe Ciais
Laboratoire des Sciences du Climat et de l'Environnement,
CEA-CNRS-UVSQ, UMR8212, Gif-sur-Yvette, France
Grégoire Broquet
Laboratoire des Sciences du Climat et de l'Environnement,
CEA-CNRS-UVSQ, UMR8212, Gif-sur-Yvette, France
Yilong Wang
Laboratoire des Sciences du Climat et de l'Environnement,
CEA-CNRS-UVSQ, UMR8212, Gif-sur-Yvette, France
Key Laboratory of Land Surface Pattern and Simulation, Institute of
Geographical Sciences and Natural Resources Research, Chinese Academy of
Sciences, Beijing, China
Jinghui Lian
Laboratoire des Sciences du Climat et de l'Environnement,
CEA-CNRS-UVSQ, UMR8212, Gif-sur-Yvette, France
Yuanhong Zhao
Laboratoire des Sciences du Climat et de l'Environnement,
CEA-CNRS-UVSQ, UMR8212, Gif-sur-Yvette, France
Viewed
Total article views: 5,648 (including HTML, PDF, and XML)
Cumulative views and downloads
(calculated since 24 Feb 2020)
HTML | XML | Total | BibTeX | EndNote | |
---|---|---|---|---|---|
3,911 | 1,669 | 68 | 5,648 | 65 | 115 |
- HTML: 3,911
- PDF: 1,669
- XML: 68
- Total: 5,648
- BibTeX: 65
- EndNote: 115
Total article views: 4,616 (including HTML, PDF, and XML)
Cumulative views and downloads
(calculated since 21 Jul 2020)
HTML | XML | Total | BibTeX | EndNote | |
---|---|---|---|---|---|
3,454 | 1,107 | 55 | 4,616 | 57 | 104 |
- HTML: 3,454
- PDF: 1,107
- XML: 55
- Total: 4,616
- BibTeX: 57
- EndNote: 104
Total article views: 1,032 (including HTML, PDF, and XML)
Cumulative views and downloads
(calculated since 24 Feb 2020)
HTML | XML | Total | BibTeX | EndNote | |
---|---|---|---|---|---|
457 | 562 | 13 | 1,032 | 8 | 11 |
- HTML: 457
- PDF: 562
- XML: 13
- Total: 1,032
- BibTeX: 8
- EndNote: 11
Viewed (geographical distribution)
Total article views: 5,648 (including HTML, PDF, and XML)
Thereof 5,519 with geography defined
and 129 with unknown origin.
Total article views: 4,616 (including HTML, PDF, and XML)
Thereof 4,710 with geography defined
and -94 with unknown origin.
Total article views: 1,032 (including HTML, PDF, and XML)
Thereof 809 with geography defined
and 223 with unknown origin.
Country | # | Views | % |
---|
Country | # | Views | % |
---|
Country | # | Views | % |
---|
Total: | 0 |
HTML: | 0 |
PDF: | 0 |
XML: | 0 |
- 1
1
Total: | 0 |
HTML: | 0 |
PDF: | 0 |
XML: | 0 |
- 1
1
Total: | 0 |
HTML: | 0 |
PDF: | 0 |
XML: | 0 |
- 1
1
Cited
74 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
- Retrieving CH4-emission rates from coal mine ventilation shafts using UAV-based AirCore observations and the genetic algorithm–interior point penalty function (GA-IPPF) model T. Shi et al. 10.5194/acp-22-13881-2022
- Evaluating national and subnational CO2 mitigation goals in China’s thirteenth five-year plan from satellite observations G. Pan et al. 10.1016/j.envint.2021.106771
- Full-coverage estimation of CO2 concentrations in China via multisource satellite data and Deep Forest model K. Cai et al. 10.1038/s41597-024-04063-9
- Large CO2 Emitters as Seen From Satellite: Comparison to a Gridded Global Emission Inventory F. Chevallier et al. 10.1029/2021GL097540
- Quantifying factory-scale CO2/CH4 emission based on mobile measurements and EMISSION-PARTITION model: cases in China T. Shi et al. 10.1088/1748-9326/acbce7
- Theoretical assessment of the ability of the MicroCarb satellite city-scan observing mode to estimate urban CO2 emissions K. Wu et al. 10.5194/amt-16-581-2023
- Improving quantification of methane point source emissions from imaging spectroscopy Z. Pei et al. 10.1016/j.rse.2023.113652
- 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
- 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
- Country-scale trends in air pollution and fossil fuel CO2 emissions during 2001–2018: confronting the roles of national policies and economic growth R. Lei et al. 10.1088/1748-9326/abc9e1
- 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
- Variation of XCO2 anomaly patterns in the Middle East from OCO-2 satellite data F. Golkar & S. Mousavi 10.1080/17538947.2022.2096936
- First TanSat CO2 retrieval over land and ocean using both nadir and glint spectroscopy X. Hong et al. 10.1016/j.rse.2024.114053
- Deep learning applied to CO2 power plant emissions quantification using simulated satellite images J. Dumont Le Brazidec et al. 10.5194/gmd-17-1995-2024
- Space-based Earth observation in support of the UNFCCC Paris Agreement M. Hegglin et al. 10.3389/fenvs.2022.941490
- A Method for Estimating the Background Column Concentration of CO2 Using the Lagrangian Approach Z. Pei et al. 10.1109/TGRS.2022.3176134
- Monitoring greenhouse gases (GHGs) in China: status and perspective Y. Sun et al. 10.5194/amt-15-4819-2022
- Measuring Greenhouse Gas Emissions from Point Sources with Mobile Systems M. Cai et al. 10.3390/atmos13081249
- Carbon Management for Modern Power System: An Overview Y. Ding et al. 10.1016/j.spes.2024.06.001
- Monitoring fossil fuel CO2 emissions from co-emitted NO2 observed from space: progress, challenges, and future perspectives H. Li et al. 10.1007/s11783-025-1922-x
- Enhancing Space-Based Tracking of Fossil Fuel CO2 Emissions via Synergistic Integration of OCO-2, OCO-3, and TROPOMI Measurements T. Li et al. 10.1021/acs.est.4c05896
- 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
- Characterization of Aerosol and CO2 Co-Emissions around Power Plants through Satellite-Based Synergistic Observations L. Sun et al. 10.3390/rs16091609
- Analysis of anthropogenic CO2 emission uncertainty and influencing factors at city scale in Yangtze River Delta region: One of the world's largest emission hotspots H. Liu et al. 10.1016/j.apr.2024.102281
- Influence of natural and anthropogenic aerosols on cloud base droplet size distributions in clouds over the South China Sea and West Pacific R. Miller et al. 10.5194/acp-23-8959-2023
- China’s Fossil Fuel CO2 Emissions Estimated Using Surface Observations of Coemitted NO2 S. Feng et al. 10.1021/acs.est.3c07756
- CO2 in Beijing and Xianghe Observed by Ground-Based FTIR Column Measurements and Validation to OCO-2/3 Satellite Observations M. Zhou et al. 10.3390/rs14153769
- Effect of atmospheric conditions and VPRM parameters on high-resolution regional CO2 simulations over East Asia M. Seo et al. 10.1007/s00704-023-04663-2
- Retrieval anthropogenic CO2 emissions from OCO-2 and comparison with gridded emission inventories C. Jin et al. 10.1016/j.jclepro.2024.141418
- Development of a Portable and Sensitive CO2 Measurement Device with NDIR Sensor Clusters and Minimizing Water Vapor Impact Z. Wu et al. 10.3390/su15021533
- High-precision methodology for quantifying gas point source emission T. Shi et al. 10.1016/j.jclepro.2021.128672
- Role of space station instruments for improving tropical carbon flux estimates using atmospheric data P. Palmer et al. 10.1038/s41526-022-00231-6
- Impacts of Spatial Resolution and XCO2 Precision on Satellite Capability for CO2 Plumes Detection Z. Li et al. 10.3390/s24061881
- Quantification of CO2 Emissions from Three Power Plants in China Using OCO-3 Satellite Measurements Y. Yang et al. 10.1007/s00376-024-3293-9
- Global Terrestrial Ecosystem Carbon Flux Inferred from TanSat XCO 2 Retrievals H. Wang et al. 10.34133/2022/9816536
- Quantifying strong point sources emissions of CO2 using spaceborne LiDAR: Method development and potential analysis T. Shi et al. 10.1016/j.enconman.2023.117346
- Seasonal and Diurnal Variations in XCO2 Characteristics in China as Observed by OCO‐2/3 Satellites: Effects of Land Cover and Local Meteorology H. Zhao et al. 10.1029/2023JD038841
- Evaluating the Ability of the Pre-Launch TanSat-2 Satellite to Quantify Urban CO2 Emissions K. Wu et al. 10.3390/rs15204904
- Quantifying CO2 emissions of power plants with Aerosols and Carbon Dioxide Lidar onboard DQ-1 G. Han et al. 10.1016/j.rse.2024.114368
- Analyzing nitrogen dioxide to nitrogen oxide scaling factors for data-driven satellite-based emission estimation methods: A case study of Matimba/Medupi power stations in South Africa J. Hakkarainen et al. 10.1016/j.apr.2024.102171
- Toward monitoring daily anthropogenic CO2 emissions with air pollution sensors from space H. Li & B. Zheng 10.1016/j.oneear.2024.08.019
- Revisiting the quantification of power plant CO2 emissions in the United States and China from satellite: A comparative study using three top-down approaches C. He et al. 10.1016/j.rse.2024.114192
- CO2 emissions retrieval from coal-fired power plants based on OCO-2/3 satellite observations and a Gaussian plume model W. Guo et al. 10.1016/j.jclepro.2023.136525
- Local Anomalies in the Column‐Averaged Dry Air Mole Fractions of Carbon Dioxide Across the Globe During the First Months of the Coronavirus Recession F. Chevallier et al. 10.1029/2020GL090244
- Lagrangian inversion of anthropogenic CO2 emissions from Beijing using differential column measurements K. Che et al. 10.1088/1748-9326/ac7477
- Improved estimation of CO2 emissions from thermal power plants based on OCO-2 XCO2 retrieval using inline plume simulation Y. Li et al. 10.1016/j.scitotenv.2023.169586
- Quantifying daily NOx and CO2 emissions from Wuhan using satellite observations from TROPOMI and OCO-2 Q. Zhang et al. 10.5194/acp-23-551-2023
- Can a regional-scale reduction of atmospheric CO<sub>2</sub> during the COVID-19 pandemic be detected from space? A case study for East China using satellite XCO<sub>2</sub> retrievals M. Buchwitz et al. 10.5194/amt-14-2141-2021
- Mapping the CO2 total column retrieval performance from shortwave infrared measurements: synthetic impacts of the spectral resolution, signal-to-noise ratio, and spectral band selection M. Dogniaux & C. Crevoisier 10.5194/amt-17-5373-2024
- Estimating CO2 Emissions from Large Scale Coal-Fired Power Plants Using OCO-2 Observations and Emission Inventories Y. Hu & Y. Shi 10.3390/atmos12070811
- Robust algorithm for precise XCO2 retrieval using single observation of IPDA LIDAR H. Zhang et al. 10.1364/OE.482629
- A Method for Assessing Background Concentrations near Sources of Strong CO2 Emissions Q. Sun et al. 10.3390/atmos14020200
- Monitoring and quantifying CO2emissions of isolated power plants from space X. Lin et al. 10.5194/acp-23-6599-2023
- Estimating anthropogenic CO2 emissions from China's Yangtze River Delta using OCO-2 observations and WRF-Chem simulations M. Sheng et al. 10.1016/j.rse.2024.114515
- The ddeq Python library for point source quantification from remote sensing images (version 1.0) G. Kuhlmann et al. 10.5194/gmd-17-4773-2024
- Global patterns of daily CO2 emissions reductions in the first year of COVID-19 Z. Liu et al. 10.1038/s41561-022-00965-8
- Exploring CO2 anomalies in Brazilian biomes combining OCO-2 & 3 data: Linkages to wildfires patterns L. da Costa et al. 10.1016/j.asr.2024.01.016
- Assessing China's Scope 2 CO2 emissions and mitigation pace from space G. Pan & Y. Xu 10.1016/j.atmosenv.2023.119906
- Characterization of Regional Combustion Efficiency using ΔXCO: ΔXCO2 Observed by a Portable Fourier-Transform Spectrometer at an Urban Site in Beijing K. Che et al. 10.1007/s00376-022-1247-7
- Challenges and opportunities for carbon neutrality in China Z. Liu et al. 10.1038/s43017-021-00244-x
- Using Orbiting Carbon Observatory-2 (OCO-2) column CO2 retrievals to rapidly detect and estimate biospheric surface carbon flux anomalies A. Feldman et al. 10.5194/acp-23-1545-2023
- Government environmental control measures on CO2 emission during the 2014 Youth Olympic Games in Nanjing: Perspectives from a top-down approach C. Hu et al. 10.1016/j.jes.2021.04.016
- Satellite Observations Reveal a Large CO Emission Discrepancy From Industrial Point Sources Over China Y. Tian et al. 10.1029/2021GL097312
- Satellite reveals a steep decline in China’s CO 2 emissions in early 2022 H. Li et al. 10.1126/sciadv.adg7429
- A top-down estimation of subnational CO2 budget using a global high-resolution inverse model with data from regional surface networks L. Nayagam et al. 10.1088/1748-9326/ad0f74
- Methods, Progress and Challenges in Global Monitoring of Carbon Emissions from Biomass Combustion G. Qu et al. 10.3390/atmos15101247
- Quantifying CO2 Emissions of Power Plants With CO2 and NO2 Imaging Satellites G. Kuhlmann et al. 10.3389/frsen.2021.689838
- Satellite-based estimates of decline and rebound in China’s CO 2 emissions during COVID-19 pandemic B. Zheng et al. 10.1126/sciadv.abd4998
- The role of satellite remote sensing in mitigating and adapting to global climate change S. Zhao et al. 10.1016/j.scitotenv.2023.166820
- Comparing sources of uncertainty in community greenhouse gas estimation techniques M. Blackhurst & H. Matthews 10.1088/1748-9326/ac6084
- XCO<sub>2</sub> retrieval for GOSAT and GOSAT-2 based on the FOCAL algorithm S. Noël et al. 10.5194/amt-14-3837-2021
- Spaceborne detection of XCO2 enhancement induced by Australian mega-bushfires J. Wang et al. 10.1088/1748-9326/abc846
- Fossil fuel CO2 emissions over metropolitan areas from space: A multi-model analysis of OCO-2 data over Lahore, Pakistan R. Lei et al. 10.1016/j.rse.2021.112625
74 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
- Retrieving CH4-emission rates from coal mine ventilation shafts using UAV-based AirCore observations and the genetic algorithm–interior point penalty function (GA-IPPF) model T. Shi et al. 10.5194/acp-22-13881-2022
- Evaluating national and subnational CO2 mitigation goals in China’s thirteenth five-year plan from satellite observations G. Pan et al. 10.1016/j.envint.2021.106771
- Full-coverage estimation of CO2 concentrations in China via multisource satellite data and Deep Forest model K. Cai et al. 10.1038/s41597-024-04063-9
- Large CO2 Emitters as Seen From Satellite: Comparison to a Gridded Global Emission Inventory F. Chevallier et al. 10.1029/2021GL097540
- Quantifying factory-scale CO2/CH4 emission based on mobile measurements and EMISSION-PARTITION model: cases in China T. Shi et al. 10.1088/1748-9326/acbce7
- Theoretical assessment of the ability of the MicroCarb satellite city-scan observing mode to estimate urban CO2 emissions K. Wu et al. 10.5194/amt-16-581-2023
- Improving quantification of methane point source emissions from imaging spectroscopy Z. Pei et al. 10.1016/j.rse.2023.113652
- 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
- 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
- Country-scale trends in air pollution and fossil fuel CO2 emissions during 2001–2018: confronting the roles of national policies and economic growth R. Lei et al. 10.1088/1748-9326/abc9e1
- 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
- Variation of XCO2 anomaly patterns in the Middle East from OCO-2 satellite data F. Golkar & S. Mousavi 10.1080/17538947.2022.2096936
- First TanSat CO2 retrieval over land and ocean using both nadir and glint spectroscopy X. Hong et al. 10.1016/j.rse.2024.114053
- Deep learning applied to CO2 power plant emissions quantification using simulated satellite images J. Dumont Le Brazidec et al. 10.5194/gmd-17-1995-2024
- Space-based Earth observation in support of the UNFCCC Paris Agreement M. Hegglin et al. 10.3389/fenvs.2022.941490
- A Method for Estimating the Background Column Concentration of CO2 Using the Lagrangian Approach Z. Pei et al. 10.1109/TGRS.2022.3176134
- Monitoring greenhouse gases (GHGs) in China: status and perspective Y. Sun et al. 10.5194/amt-15-4819-2022
- Measuring Greenhouse Gas Emissions from Point Sources with Mobile Systems M. Cai et al. 10.3390/atmos13081249
- Carbon Management for Modern Power System: An Overview Y. Ding et al. 10.1016/j.spes.2024.06.001
- Monitoring fossil fuel CO2 emissions from co-emitted NO2 observed from space: progress, challenges, and future perspectives H. Li et al. 10.1007/s11783-025-1922-x
- Enhancing Space-Based Tracking of Fossil Fuel CO2 Emissions via Synergistic Integration of OCO-2, OCO-3, and TROPOMI Measurements T. Li et al. 10.1021/acs.est.4c05896
- 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
- Characterization of Aerosol and CO2 Co-Emissions around Power Plants through Satellite-Based Synergistic Observations L. Sun et al. 10.3390/rs16091609
- Analysis of anthropogenic CO2 emission uncertainty and influencing factors at city scale in Yangtze River Delta region: One of the world's largest emission hotspots H. Liu et al. 10.1016/j.apr.2024.102281
- Influence of natural and anthropogenic aerosols on cloud base droplet size distributions in clouds over the South China Sea and West Pacific R. Miller et al. 10.5194/acp-23-8959-2023
- China’s Fossil Fuel CO2 Emissions Estimated Using Surface Observations of Coemitted NO2 S. Feng et al. 10.1021/acs.est.3c07756
- CO2 in Beijing and Xianghe Observed by Ground-Based FTIR Column Measurements and Validation to OCO-2/3 Satellite Observations M. Zhou et al. 10.3390/rs14153769
- Effect of atmospheric conditions and VPRM parameters on high-resolution regional CO2 simulations over East Asia M. Seo et al. 10.1007/s00704-023-04663-2
- Retrieval anthropogenic CO2 emissions from OCO-2 and comparison with gridded emission inventories C. Jin et al. 10.1016/j.jclepro.2024.141418
- Development of a Portable and Sensitive CO2 Measurement Device with NDIR Sensor Clusters and Minimizing Water Vapor Impact Z. Wu et al. 10.3390/su15021533
- High-precision methodology for quantifying gas point source emission T. Shi et al. 10.1016/j.jclepro.2021.128672
- Role of space station instruments for improving tropical carbon flux estimates using atmospheric data P. Palmer et al. 10.1038/s41526-022-00231-6
- Impacts of Spatial Resolution and XCO2 Precision on Satellite Capability for CO2 Plumes Detection Z. Li et al. 10.3390/s24061881
- Quantification of CO2 Emissions from Three Power Plants in China Using OCO-3 Satellite Measurements Y. Yang et al. 10.1007/s00376-024-3293-9
- Global Terrestrial Ecosystem Carbon Flux Inferred from TanSat XCO 2 Retrievals H. Wang et al. 10.34133/2022/9816536
- Quantifying strong point sources emissions of CO2 using spaceborne LiDAR: Method development and potential analysis T. Shi et al. 10.1016/j.enconman.2023.117346
- Seasonal and Diurnal Variations in XCO2 Characteristics in China as Observed by OCO‐2/3 Satellites: Effects of Land Cover and Local Meteorology H. Zhao et al. 10.1029/2023JD038841
- Evaluating the Ability of the Pre-Launch TanSat-2 Satellite to Quantify Urban CO2 Emissions K. Wu et al. 10.3390/rs15204904
- Quantifying CO2 emissions of power plants with Aerosols and Carbon Dioxide Lidar onboard DQ-1 G. Han et al. 10.1016/j.rse.2024.114368
- Analyzing nitrogen dioxide to nitrogen oxide scaling factors for data-driven satellite-based emission estimation methods: A case study of Matimba/Medupi power stations in South Africa J. Hakkarainen et al. 10.1016/j.apr.2024.102171
- Toward monitoring daily anthropogenic CO2 emissions with air pollution sensors from space H. Li & B. Zheng 10.1016/j.oneear.2024.08.019
- Revisiting the quantification of power plant CO2 emissions in the United States and China from satellite: A comparative study using three top-down approaches C. He et al. 10.1016/j.rse.2024.114192
- CO2 emissions retrieval from coal-fired power plants based on OCO-2/3 satellite observations and a Gaussian plume model W. Guo et al. 10.1016/j.jclepro.2023.136525
- Local Anomalies in the Column‐Averaged Dry Air Mole Fractions of Carbon Dioxide Across the Globe During the First Months of the Coronavirus Recession F. Chevallier et al. 10.1029/2020GL090244
- Lagrangian inversion of anthropogenic CO2 emissions from Beijing using differential column measurements K. Che et al. 10.1088/1748-9326/ac7477
- Improved estimation of CO2 emissions from thermal power plants based on OCO-2 XCO2 retrieval using inline plume simulation Y. Li et al. 10.1016/j.scitotenv.2023.169586
- Quantifying daily NOx and CO2 emissions from Wuhan using satellite observations from TROPOMI and OCO-2 Q. Zhang et al. 10.5194/acp-23-551-2023
- Can a regional-scale reduction of atmospheric CO<sub>2</sub> during the COVID-19 pandemic be detected from space? A case study for East China using satellite XCO<sub>2</sub> retrievals M. Buchwitz et al. 10.5194/amt-14-2141-2021
- Mapping the CO2 total column retrieval performance from shortwave infrared measurements: synthetic impacts of the spectral resolution, signal-to-noise ratio, and spectral band selection M. Dogniaux & C. Crevoisier 10.5194/amt-17-5373-2024
- Estimating CO2 Emissions from Large Scale Coal-Fired Power Plants Using OCO-2 Observations and Emission Inventories Y. Hu & Y. Shi 10.3390/atmos12070811
- Robust algorithm for precise XCO2 retrieval using single observation of IPDA LIDAR H. Zhang et al. 10.1364/OE.482629
- A Method for Assessing Background Concentrations near Sources of Strong CO2 Emissions Q. Sun et al. 10.3390/atmos14020200
- Monitoring and quantifying CO2emissions of isolated power plants from space X. Lin et al. 10.5194/acp-23-6599-2023
- Estimating anthropogenic CO2 emissions from China's Yangtze River Delta using OCO-2 observations and WRF-Chem simulations M. Sheng et al. 10.1016/j.rse.2024.114515
- The ddeq Python library for point source quantification from remote sensing images (version 1.0) G. Kuhlmann et al. 10.5194/gmd-17-4773-2024
- Global patterns of daily CO2 emissions reductions in the first year of COVID-19 Z. Liu et al. 10.1038/s41561-022-00965-8
- Exploring CO2 anomalies in Brazilian biomes combining OCO-2 & 3 data: Linkages to wildfires patterns L. da Costa et al. 10.1016/j.asr.2024.01.016
- Assessing China's Scope 2 CO2 emissions and mitigation pace from space G. Pan & Y. Xu 10.1016/j.atmosenv.2023.119906
- Characterization of Regional Combustion Efficiency using ΔXCO: ΔXCO2 Observed by a Portable Fourier-Transform Spectrometer at an Urban Site in Beijing K. Che et al. 10.1007/s00376-022-1247-7
- Challenges and opportunities for carbon neutrality in China Z. Liu et al. 10.1038/s43017-021-00244-x
- Using Orbiting Carbon Observatory-2 (OCO-2) column CO2 retrievals to rapidly detect and estimate biospheric surface carbon flux anomalies A. Feldman et al. 10.5194/acp-23-1545-2023
- Government environmental control measures on CO2 emission during the 2014 Youth Olympic Games in Nanjing: Perspectives from a top-down approach C. Hu et al. 10.1016/j.jes.2021.04.016
- Satellite Observations Reveal a Large CO Emission Discrepancy From Industrial Point Sources Over China Y. Tian et al. 10.1029/2021GL097312
- Satellite reveals a steep decline in China’s CO 2 emissions in early 2022 H. Li et al. 10.1126/sciadv.adg7429
- A top-down estimation of subnational CO2 budget using a global high-resolution inverse model with data from regional surface networks L. Nayagam et al. 10.1088/1748-9326/ad0f74
- Methods, Progress and Challenges in Global Monitoring of Carbon Emissions from Biomass Combustion G. Qu et al. 10.3390/atmos15101247
- Quantifying CO2 Emissions of Power Plants With CO2 and NO2 Imaging Satellites G. Kuhlmann et al. 10.3389/frsen.2021.689838
- Satellite-based estimates of decline and rebound in China’s CO 2 emissions during COVID-19 pandemic B. Zheng et al. 10.1126/sciadv.abd4998
- The role of satellite remote sensing in mitigating and adapting to global climate change S. Zhao et al. 10.1016/j.scitotenv.2023.166820
- Comparing sources of uncertainty in community greenhouse gas estimation techniques M. Blackhurst & H. Matthews 10.1088/1748-9326/ac6084
- XCO<sub>2</sub> retrieval for GOSAT and GOSAT-2 based on the FOCAL algorithm S. Noël et al. 10.5194/amt-14-3837-2021
- Spaceborne detection of XCO2 enhancement induced by Australian mega-bushfires J. Wang et al. 10.1088/1748-9326/abc846
- Fossil fuel CO2 emissions over metropolitan areas from space: A multi-model analysis of OCO-2 data over Lahore, Pakistan R. Lei et al. 10.1016/j.rse.2021.112625
Latest update: 06 Dec 2024
Short summary
The Paris Climate Agreement requires all parties to report CO2 emissions regularly. Given the self-reporting nature of this system, it is critical to evaluate the emission reports with independent observation systems. Here we present the direct observations of city CO2 plumes from space and the quantification of CO2 emissions from these observations over the largest emitter country China. The emissions from 46 hot-spot regions representing 13 % of China's total emissions can be well constrained.
The Paris Climate Agreement requires all parties to report CO2 emissions regularly. Given the...
Altmetrics
Final-revised paper
Preprint