Articles | Volume 23, issue 11
https://doi.org/10.5194/acp-23-6599-2023
© Author(s) 2023. 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-23-6599-2023
© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
15 Jun 2023
Research article |
| 15 Jun 2023
| 15 Jun 2023
Monitoring and quantifying CO2 emissions of isolated power plants from space
Xiaojuan Lin
Department of Earth System Science, Ministry of Education Key
Laboratory for Earth System Modeling, Institute for Global Change Studies,
Tsinghua University, Beijing 100084, China
Department of Satellite Observations, Royal Netherlands Meteorological Institute (KNMI), De Bilt 3730 AE,
the Netherlands
Ronald van der A
Department of Satellite Observations, Royal Netherlands Meteorological Institute (KNMI), De Bilt 3730 AE,
the Netherlands
KNMI-NUIST Center for Atmospheric Composition, Nanjing University of Information Science & Technology (NUIST), Nanjing 210044, China
Jos de Laat
Department of Satellite Observations, Royal Netherlands Meteorological Institute (KNMI), De Bilt 3730 AE,
the Netherlands
Henk Eskes
Department of Satellite Observations, Royal Netherlands Meteorological Institute (KNMI), De Bilt 3730 AE,
the Netherlands
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
Zhu Deng
Department of Earth System Science, Ministry of Education Key
Laboratory for Earth System Modeling, Institute for Global Change Studies,
Tsinghua University, Beijing 100084, China
Yuanhao Geng
Department of Statistics, School of Computer, Data & Information Sciences, University of Wisconsin–Madison, Madison 53706, USA
Xuanren Song
Department of Earth System Science, Ministry of Education Key
Laboratory for Earth System Modeling, Institute for Global Change Studies,
Tsinghua University, Beijing 100084, China
Xiliang Ni
Ministry of Education Key Laboratory of Ecology and Resource Use of
the Mongolian Plateau & Inner Mongolia Key Laboratory of Grassland
Ecology, School of Ecology and Environment, Inner Mongolia University,
Hohhot 010021, China
Da Huo
Department of Earth System Science, Ministry of Education Key
Laboratory for Earth System Modeling, Institute for Global Change Studies,
Tsinghua University, Beijing 100084, China
Xinyu Dou
Department of Earth System Science, Ministry of Education Key
Laboratory for Earth System Modeling, Institute for Global Change Studies,
Tsinghua University, Beijing 100084, China
Department of Earth System Science, Ministry of Education Key
Laboratory for Earth System Modeling, Institute for Global Change Studies,
Tsinghua University, Beijing 100084, China
Viewed
Total article views: 3,124 (including HTML, PDF, and XML)
Cumulative views and downloads
(calculated since 02 Jan 2023)
| HTML | XML | Total | Supplement | BibTeX | EndNote | |
|---|---|---|---|---|---|---|
| 2,254 | 772 | 98 | 3,124 | 146 | 26 | 95 |
- HTML: 2,254
- PDF: 772
- XML: 98
- Total: 3,124
- Supplement: 146
- BibTeX: 26
- EndNote: 95
Total article views: 1,688 (including HTML, PDF, and XML)
Cumulative views and downloads
(calculated since 15 Jun 2023)
| HTML | XML | Total | Supplement | BibTeX | EndNote | |
|---|---|---|---|---|---|---|
| 1,222 | 394 | 72 | 1,688 | 80 | 17 | 77 |
- HTML: 1,222
- PDF: 394
- XML: 72
- Total: 1,688
- Supplement: 80
- BibTeX: 17
- EndNote: 77
Total article views: 1,436 (including HTML, PDF, and XML)
Cumulative views and downloads
(calculated since 02 Jan 2023)
| HTML | XML | Total | Supplement | BibTeX | EndNote | |
|---|---|---|---|---|---|---|
| 1,032 | 378 | 26 | 1,436 | 66 | 9 | 18 |
- HTML: 1,032
- PDF: 378
- XML: 26
- Total: 1,436
- Supplement: 66
- BibTeX: 9
- EndNote: 18
Viewed (geographical distribution)
Total article views: 3,124 (including HTML, PDF, and XML)
Thereof 3,114 with geography defined
and 10 with unknown origin.
Total article views: 1,688 (including HTML, PDF, and XML)
Thereof 1,652 with geography defined
and 36 with unknown origin.
Total article views: 1,436 (including HTML, PDF, and XML)
Thereof 1,462 with geography defined
and -26 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
7 citations as recorded by crossref.
- 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
- China’s Fossil Fuel CO2 Emissions Estimated Using Surface Observations of Coemitted NO2 S. Feng et al. 10.1021/acs.est.3c07756
- Quantifying Climate Change Loss and Damage Consistent with a Social Cost of Greenhouse Gases M. Burke et al. 10.2139/ssrn.4567664
- Estimating Carbon Dioxide Emissions from Power Plant Water Vapor Plumes Using Satellite Imagery and Machine Learning H. Couture et al. 10.3390/rs16071290
- Two years of satellite-based carbon dioxide emission quantification at the world's largest coal-fired power plants D. Cusworth et al. 10.5194/acp-23-14577-2023
- Impacts of Spatial Resolution and XCO2 Precision on Satellite Capability for CO2 Plumes Detection Z. Li et al. 10.3390/s24061881
- Retrieval anthropogenic CO2 emissions from OCO-2 and comparison with gridded emission inventories C. Jin et al. 10.1016/j.jclepro.2024.141418
7 citations as recorded by crossref.
- 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
- China’s Fossil Fuel CO2 Emissions Estimated Using Surface Observations of Coemitted NO2 S. Feng et al. 10.1021/acs.est.3c07756
- Quantifying Climate Change Loss and Damage Consistent with a Social Cost of Greenhouse Gases M. Burke et al. 10.2139/ssrn.4567664
- Estimating Carbon Dioxide Emissions from Power Plant Water Vapor Plumes Using Satellite Imagery and Machine Learning H. Couture et al. 10.3390/rs16071290
- Two years of satellite-based carbon dioxide emission quantification at the world's largest coal-fired power plants D. Cusworth et al. 10.5194/acp-23-14577-2023
- Impacts of Spatial Resolution and XCO2 Precision on Satellite Capability for CO2 Plumes Detection Z. Li et al. 10.3390/s24061881
- Retrieval anthropogenic CO2 emissions from OCO-2 and comparison with gridded emission inventories C. Jin et al. 10.1016/j.jclepro.2024.141418
Latest update: 08 May 2024
Short summary
Satellite observations provide evidence for CO2 emission signals from isolated power plants. We use these satellite observations to quantify emissions. We found that for power plants with multiple observations, the correlation of estimated and reported emissions is significantly improved compared to a single observation case. This demonstrates that accurate estimation of power plant emissions can be achieved by monitoring from future satellite missions with more frequent observations.
Satellite observations provide evidence for CO2 emission signals from isolated power plants. We...
Altmetrics
Final-revised paper
Preprint