Articles | Volume 19, issue 7
https://doi.org/10.5194/acp-19-4541-2019
© Author(s) 2019. 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-19-4541-2019
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
05 Apr 2019
Research article |
| 05 Apr 2019
| 05 Apr 2019
Accounting for the vertical distribution of emissions in atmospheric CO2 simulations
Empa, Swiss Federal Laboratories for Materials Science and Technology, Überlandstrasse 129, Dübendorf, Switzerland
Gerrit Kuhlmann
Empa, Swiss Federal Laboratories for Materials Science and Technology, Überlandstrasse 129, Dübendorf, Switzerland
Julia Marshall
Max Planck Institute for Biogeochemistry (MPI-BGC), Jena, Germany
Valentin Clément
Center for Climate Systems Modelling (C2SM), ETH Zürich, Zürich, Switzerland
Federal Institute of Meteorology and Climatology, MeteoSwiss, Kloten, Switzerland
Oliver Fuhrer
Federal Institute of Meteorology and Climatology, MeteoSwiss, Kloten, Switzerland
Grégoire Broquet
Laboratoire des Sciences du Climat et de l'Environnement, CEA-CNRS-UVSQ, Université Paris Saclay, 91191, Gif-sur-Yvette CEDEX, France
Armin Löscher
European Space Agency (ESA), ESTEC, Noordwijk, the Netherlands
Yasjka Meijer
European Space Agency (ESA), ESTEC, Noordwijk, the Netherlands
Viewed
Total article views: 3,448 (including HTML, PDF, and XML)
Cumulative views and downloads
(calculated since 04 Dec 2018)
| HTML | XML | Total | BibTeX | EndNote | |
|---|---|---|---|---|---|
| 2,426 | 968 | 54 | 3,448 | 62 | 57 |
- HTML: 2,426
- PDF: 968
- XML: 54
- Total: 3,448
- BibTeX: 62
- EndNote: 57
Total article views: 2,920 (including HTML, PDF, and XML)
Cumulative views and downloads
(calculated since 05 Apr 2019)
| HTML | XML | Total | BibTeX | EndNote | |
|---|---|---|---|---|---|
| 2,129 | 740 | 51 | 2,920 | 60 | 55 |
- HTML: 2,129
- PDF: 740
- XML: 51
- Total: 2,920
- BibTeX: 60
- EndNote: 55
Total article views: 528 (including HTML, PDF, and XML)
Cumulative views and downloads
(calculated since 04 Dec 2018)
| HTML | XML | Total | BibTeX | EndNote | |
|---|---|---|---|---|---|
| 297 | 228 | 3 | 528 | 2 | 2 |
- HTML: 297
- PDF: 228
- XML: 3
- Total: 528
- BibTeX: 2
- EndNote: 2
Viewed (geographical distribution)
Total article views: 3,448 (including HTML, PDF, and XML)
Thereof 3,378 with geography defined
and 70 with unknown origin.
Total article views: 2,920 (including HTML, PDF, and XML)
Thereof 2,875 with geography defined
and 45 with unknown origin.
Total article views: 528 (including HTML, PDF, and XML)
Thereof 503 with geography defined
and 25 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
35 citations as recorded by crossref.
- Urban greenhouse gas emissions from the Berlin area: A case study using airborne CO2 and CH4 in situ observations in summer 2018 T. Klausner et al. 10.1525/elementa.411
- Toward an Operational Anthropogenic CO2 Emissions Monitoring and Verification Support Capacity G. Janssens-Maenhout et al. 10.1175/BAMS-D-19-0017.1
- Quantifying CO2 Emissions of Power Plants With CO2 and NO2 Imaging Satellites G. Kuhlmann et al. 10.3389/frsen.2021.689838
- 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
- Assessing the Impact of Atmospheric CO2 and NO2 Measurements From Space on Estimating City-Scale Fossil Fuel CO2 Emissions in a Data Assimilation System T. Kaminski et al. 10.3389/frsen.2022.887456
- Plume detection and emission estimate for biomass burning plumes from TROPOMI carbon monoxide observations using APE v1.1 M. Goudar et al. 10.5194/gmd-16-4835-2023
- 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
- A global catalogue of CO2 emissions and co-emitted species from power plants, including high-resolution vertical and temporal profiles M. Guevara et al. 10.5194/essd-16-337-2024
- Analysis of CO<sub>2</sub> spatio-temporal variations in China using a weather–biosphere online coupled model X. Dong et al. 10.5194/acp-21-7217-2021
- Segmentation of XCO2 images with deep learning: application to synthetic plumes from cities and power plants J. Dumont Le Brazidec et al. 10.5194/gmd-16-3997-2023
- 温室气体通量测量方法及进展 岳. Yue Bin et al. 10.3788/AOS222172
- Effects of vertical ship exhaust plume distributions on urban pollutant concentration – a sensitivity study with MITRAS v2.0 and EPISODE-CityChem v1.4 R. Badeke et al. 10.5194/gmd-15-4077-2022
- Large CO2 Emitters as Seen From Satellite: Comparison to a Gridded Global Emission Inventory F. Chevallier et al. 10.1029/2021GL097540
- Accounting for meteorological biases in simulated plumes using smarter metrics P. Vanderbecken et al. 10.5194/amt-16-1745-2023
- Understanding greenhouse gas (GHG) column concentrations in Munich using the Weather Research and Forecasting (WRF) model X. Zhao et al. 10.5194/acp-23-14325-2023
- Improvements of Simulating Urban Atmospheric CO2 Concentration by Coupling with Emission Height and Dynamic Boundary Layer Variations in WRF-STILT Model Y. Peng et al. 10.3390/atmos14020223
- Effects of point source emission heights in WRF–STILT: a step towards exploiting nocturnal observations in models F. Maier et al. 10.5194/gmd-15-5391-2022
- 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
- Advances in quantifying power plant CO2 emissions with OCO-2 R. Nassar et al. 10.1016/j.rse.2021.112579
- 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
- Analyzing Local Carbon Dioxide and Nitrogen Oxide Emissions From Space Using the Divergence Method: An Application to the Synthetic SMARTCARB Dataset J. Hakkarainen et al. 10.3389/frsen.2022.878731
- Lagrangian Particle Dispersion Models in the Grey Zone of Turbulence: Adaptations to FLEXPART-COSMO for Simulations at 1 km Grid Resolution I. Katharopoulos et al. 10.1007/s10546-022-00728-3
- Anthropogenic CO2 emission reduction during the COVID-19 pandemic in Nanchang City, China C. Hu et al. 10.1016/j.envpol.2022.119767
- 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
- Evaluating the carbon inventory, carbon fluxes and carbon cycles for a long-term sustainable world P. Tomkins & T. Müller 10.1039/C9GC00528E
- Detectability of CO<sub>2</sub> emission plumes of cities and power plants with the Copernicus Anthropogenic CO<sub>2</sub> Monitoring (CO2M) mission G. Kuhlmann et al. 10.5194/amt-12-6695-2019
- Estimation of Anthropogenic CH4 and CO2 Emissions in Taiyuan‐Jinzhong Region: One of the World's Largest Emission Hotspots C. Hu et al. 10.1029/2022JD037915
- Improved catalog of NOx point source emissions (version 2) S. Beirle et al. 10.5194/essd-15-3051-2023
- Assessing atmospheric CO2 concentrations and contributions from biogenic and anthropogenic sources in the Pearl River Delta region B. Mai et al. 10.1016/j.uclim.2024.101864
- Parameterizing the vertical downward dispersion of ship exhaust gas in the near field R. Badeke et al. 10.5194/acp-21-5935-2021
- Evaluation of the emission inventory for large point emission sources in South Korea by applying measured data from the NASA/NIER KORUS-AQ aircraft field campaign M. Park et al. 10.1525/elementa.2022.00105
- Evaluation of simulated CO2 power plant plumes from six high-resolution atmospheric transport models D. Brunner et al. 10.5194/acp-23-2699-2023
- Towards monitoring localized CO<sub>2</sub> emissions from space: co-located regional CO<sub>2</sub> and NO<sub>2</sub> enhancements observed by the OCO-2 and S5P satellites M. Reuter et al. 10.5194/acp-19-9371-2019
- Tracking CO2 emission reductions from space: A case study at Europe’s largest fossil fuel power plant R. Nassar et al. 10.3389/frsen.2022.1028240
- An online emission module for atmospheric chemistry transport models: implementation in COSMO-GHG v5.6a and COSMO-ART v5.1-3.1 M. Jähn et al. 10.5194/gmd-13-2379-2020
35 citations as recorded by crossref.
- Urban greenhouse gas emissions from the Berlin area: A case study using airborne CO2 and CH4 in situ observations in summer 2018 T. Klausner et al. 10.1525/elementa.411
- Toward an Operational Anthropogenic CO2 Emissions Monitoring and Verification Support Capacity G. Janssens-Maenhout et al. 10.1175/BAMS-D-19-0017.1
- Quantifying CO2 Emissions of Power Plants With CO2 and NO2 Imaging Satellites G. Kuhlmann et al. 10.3389/frsen.2021.689838
- 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
- Assessing the Impact of Atmospheric CO2 and NO2 Measurements From Space on Estimating City-Scale Fossil Fuel CO2 Emissions in a Data Assimilation System T. Kaminski et al. 10.3389/frsen.2022.887456
- Plume detection and emission estimate for biomass burning plumes from TROPOMI carbon monoxide observations using APE v1.1 M. Goudar et al. 10.5194/gmd-16-4835-2023
- 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
- A global catalogue of CO2 emissions and co-emitted species from power plants, including high-resolution vertical and temporal profiles M. Guevara et al. 10.5194/essd-16-337-2024
- Analysis of CO<sub>2</sub> spatio-temporal variations in China using a weather–biosphere online coupled model X. Dong et al. 10.5194/acp-21-7217-2021
- Segmentation of XCO2 images with deep learning: application to synthetic plumes from cities and power plants J. Dumont Le Brazidec et al. 10.5194/gmd-16-3997-2023
- 温室气体通量测量方法及进展 岳. Yue Bin et al. 10.3788/AOS222172
- Effects of vertical ship exhaust plume distributions on urban pollutant concentration – a sensitivity study with MITRAS v2.0 and EPISODE-CityChem v1.4 R. Badeke et al. 10.5194/gmd-15-4077-2022
- Large CO2 Emitters as Seen From Satellite: Comparison to a Gridded Global Emission Inventory F. Chevallier et al. 10.1029/2021GL097540
- Accounting for meteorological biases in simulated plumes using smarter metrics P. Vanderbecken et al. 10.5194/amt-16-1745-2023
- Understanding greenhouse gas (GHG) column concentrations in Munich using the Weather Research and Forecasting (WRF) model X. Zhao et al. 10.5194/acp-23-14325-2023
- Improvements of Simulating Urban Atmospheric CO2 Concentration by Coupling with Emission Height and Dynamic Boundary Layer Variations in WRF-STILT Model Y. Peng et al. 10.3390/atmos14020223
- Effects of point source emission heights in WRF–STILT: a step towards exploiting nocturnal observations in models F. Maier et al. 10.5194/gmd-15-5391-2022
- 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
- Advances in quantifying power plant CO2 emissions with OCO-2 R. Nassar et al. 10.1016/j.rse.2021.112579
- 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
- Analyzing Local Carbon Dioxide and Nitrogen Oxide Emissions From Space Using the Divergence Method: An Application to the Synthetic SMARTCARB Dataset J. Hakkarainen et al. 10.3389/frsen.2022.878731
- Lagrangian Particle Dispersion Models in the Grey Zone of Turbulence: Adaptations to FLEXPART-COSMO for Simulations at 1 km Grid Resolution I. Katharopoulos et al. 10.1007/s10546-022-00728-3
- Anthropogenic CO2 emission reduction during the COVID-19 pandemic in Nanchang City, China C. Hu et al. 10.1016/j.envpol.2022.119767
- 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
- Evaluating the carbon inventory, carbon fluxes and carbon cycles for a long-term sustainable world P. Tomkins & T. Müller 10.1039/C9GC00528E
- Detectability of CO<sub>2</sub> emission plumes of cities and power plants with the Copernicus Anthropogenic CO<sub>2</sub> Monitoring (CO2M) mission G. Kuhlmann et al. 10.5194/amt-12-6695-2019
- Estimation of Anthropogenic CH4 and CO2 Emissions in Taiyuan‐Jinzhong Region: One of the World's Largest Emission Hotspots C. Hu et al. 10.1029/2022JD037915
- Improved catalog of NOx point source emissions (version 2) S. Beirle et al. 10.5194/essd-15-3051-2023
- Assessing atmospheric CO2 concentrations and contributions from biogenic and anthropogenic sources in the Pearl River Delta region B. Mai et al. 10.1016/j.uclim.2024.101864
- Parameterizing the vertical downward dispersion of ship exhaust gas in the near field R. Badeke et al. 10.5194/acp-21-5935-2021
- Evaluation of the emission inventory for large point emission sources in South Korea by applying measured data from the NASA/NIER KORUS-AQ aircraft field campaign M. Park et al. 10.1525/elementa.2022.00105
- Evaluation of simulated CO2 power plant plumes from six high-resolution atmospheric transport models D. Brunner et al. 10.5194/acp-23-2699-2023
- Towards monitoring localized CO<sub>2</sub> emissions from space: co-located regional CO<sub>2</sub> and NO<sub>2</sub> enhancements observed by the OCO-2 and S5P satellites M. Reuter et al. 10.5194/acp-19-9371-2019
- Tracking CO2 emission reductions from space: A case study at Europe’s largest fossil fuel power plant R. Nassar et al. 10.3389/frsen.2022.1028240
- An online emission module for atmospheric chemistry transport models: implementation in COSMO-GHG v5.6a and COSMO-ART v5.1-3.1 M. Jähn et al. 10.5194/gmd-13-2379-2020
Latest update: 23 Apr 2024
Short summary
Atmospheric transport models are increasingly being used to estimate CO2 emissions from atmospheric CO2 measurements. This study demonstrates the importance of distributing CO2 emissions vertically in the model according to realistic profiles, since a major proportion of CO2 is emitted through tall stacks from power plants and industrial sources. With the traditional approach of emitting all CO2 at the surface, models may significantly overestimate the atmospheric CO2 levels.
Atmospheric transport models are increasingly being used to estimate CO2 emissions from...
Altmetrics
Final-revised paper
Preprint