Articles | Volume 19, issue 11
https://doi.org/10.5194/acp-19-7347-2019
© 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-19-7347-2019
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
04 Jun 2019
Research article |
| 04 Jun 2019
Modelling CO2 weather – why horizontal resolution matters
Anna Agustí-Panareda
CORRESPONDING AUTHOR
European Centre for Medium-Range Weather Forecasts, Shinfield Park, Reading, RG2 9AX, UK
Michail Diamantakis
European Centre for Medium-Range Weather Forecasts, Shinfield Park, Reading, RG2 9AX, UK
Sébastien Massart
European Centre for Medium-Range Weather Forecasts, Shinfield Park, Reading, RG2 9AX, UK
Frédéric Chevallier
Laboratoire des Sciences du Climat et de l'Environnement, LSCE/IPSL, CEA-CNRS-UVSQ, Université Paris-Saclay, 91198 Gif-sur-Yvette, France
Joaquín Muñoz-Sabater
European Centre for Medium-Range Weather Forecasts, Shinfield Park, Reading, RG2 9AX, UK
Jérôme Barré
European Centre for Medium-Range Weather Forecasts, Shinfield Park, Reading, RG2 9AX, UK
Roger Curcoll
Environmental Science and Technology Institute, Universitat Autònoma de Barcelona, ICTA-UAB, Bellaterra, Spain
Richard Engelen
European Centre for Medium-Range Weather Forecasts, Shinfield Park, Reading, RG2 9AX, UK
Bavo Langerock
Royal Belgian Institute for Space Aeronomy (BIRA-IASB), Brussels, Belgium
Rachel M. Law
CSIRO Oceans and Atmosphere, PMB 1, Aspendale, Victoria 3195,
Australia
Zoë Loh
CSIRO Oceans and Atmosphere, PMB 1, Aspendale, Victoria 3195,
Australia
Josep Anton Morguí
Environmental Science and Technology Institute, Universitat Autònoma de Barcelona, ICTA-UAB, Bellaterra, Spain
Mark Parrington
European Centre for Medium-Range Weather Forecasts, Shinfield Park, Reading, RG2 9AX, UK
Vincent-Henri Peuch
European Centre for Medium-Range Weather Forecasts, Shinfield Park, Reading, RG2 9AX, UK
Michel Ramonet
Laboratoire des Sciences du Climat et de l'Environnement, LSCE/IPSL, CEA-CNRS-UVSQ, Université Paris-Saclay, 91198 Gif-sur-Yvette, France
Coleen Roehl
California Institute of Technology, Pasadena, California, USA
Alex T. Vermeulen
ICOS ERIC Carbon Portal, Sölvegatan 12, 22362 Lund, Sweden
Thorsten Warneke
University of Bremen, Institute of Environmental Physics, Otto-Hahn-Allee 1, 28359 Bremen, Germany
Debra Wunch
University of Toronto, Department of Physics, Toronto, Ontario, Canada
Viewed
Total article views: 3,565 (including HTML, PDF, and XML)
Cumulative views and downloads
(calculated since 27 Feb 2019)
| HTML | XML | Total | Supplement | BibTeX | EndNote | |
|---|---|---|---|---|---|---|
| 2,468 | 1,056 | 41 | 3,565 | 448 | 42 | 39 |
- HTML: 2,468
- PDF: 1,056
- XML: 41
- Total: 3,565
- Supplement: 448
- BibTeX: 42
- EndNote: 39
Total article views: 2,573 (including HTML, PDF, and XML)
Cumulative views and downloads
(calculated since 04 Jun 2019)
| HTML | XML | Total | Supplement | BibTeX | EndNote | |
|---|---|---|---|---|---|---|
| 2,013 | 527 | 33 | 2,573 | 172 | 35 | 31 |
- HTML: 2,013
- PDF: 527
- XML: 33
- Total: 2,573
- Supplement: 172
- BibTeX: 35
- EndNote: 31
Total article views: 992 (including HTML, PDF, and XML)
Cumulative views and downloads
(calculated since 27 Feb 2019)
| HTML | XML | Total | Supplement | BibTeX | EndNote | |
|---|---|---|---|---|---|---|
| 455 | 529 | 8 | 992 | 276 | 7 | 8 |
- HTML: 455
- PDF: 529
- XML: 8
- Total: 992
- Supplement: 276
- BibTeX: 7
- EndNote: 8
Viewed (geographical distribution)
Total article views: 3,565 (including HTML, PDF, and XML)
Thereof 3,405 with geography defined
and 160 with unknown origin.
Total article views: 2,573 (including HTML, PDF, and XML)
Thereof 2,553 with geography defined
and 20 with unknown origin.
Total article views: 992 (including HTML, PDF, and XML)
Thereof 852 with geography defined
and 140 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
24 citations as recorded by crossref.
- The Canadian atmospheric transport model for simulating greenhouse gas evolution on regional scales: GEM–MACH–GHG v.137-reg J. Kim et al. 10.5194/gmd-13-269-2020
- Systematic detection of local CH<sub>4</sub> anomalies by combining satellite measurements with high-resolution forecasts J. Barré et al. 10.5194/acp-21-5117-2021
- Carbon Dioxide Distribution, Origins, and Transport Along a Frontal Boundary During Summer in Mid‐Latitudes A. Samaddar et al. 10.1029/2020JD033118
- Toward an Operational Anthropogenic CO2 Emissions Monitoring and Verification Support Capacity G. Janssens-Maenhout et al. 10.1175/BAMS-D-19-0017.1
- Representing model uncertainty for global atmospheric CO<sub>2</sub> flux inversions using ECMWF-IFS-46R1 J. McNorton et al. 10.5194/gmd-13-2297-2020
- 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
- Development and evaluation of CO<sub>2</sub> transport in MPAS-A v6.3 T. Zheng et al. 10.5194/gmd-14-3037-2021
- The size of the land carbon sink in China Y. Wang et al. 10.1038/s41586-021-04255-y
- Technical note: A high-resolution inverse modelling technique for estimating surface CO<sub>2</sub> fluxes based on the NIES-TM–FLEXPART coupled transport model and its adjoint S. Maksyutov et al. 10.5194/acp-21-1245-2021
- Shipborne measurements of XCO<sub>2</sub>, XCH<sub>4</sub>, and XCO above the Pacific Ocean and comparison to CAMS atmospheric analyses and S5P/TROPOMI M. Knapp et al. 10.5194/essd-13-199-2021
- 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
- Assimilation of atmospheric CO2 observations from space can support national CO2 emission inventories T. Kaminski et al. 10.1088/1748-9326/ac3cea
- In situ observations of greenhouse gases over Europe during the CoMet 1.0 campaign aboard the HALO aircraft M. Gałkowski et al. 10.5194/amt-14-1525-2021
- Examining CO 2 Model Observation Residuals Using ACT‐America Data T. Gerken et al. 10.1029/2020JD034481
- On what scales can GOSAT flux inversions constrain anomalies in terrestrial ecosystems? B. Byrne et al. 10.5194/acp-19-13017-2019
- XCO<sub>2</sub> estimates from the OCO-2 measurements using a neural network approach L. David et al. 10.5194/amt-14-117-2021
- Global anthropogenic CO<sub>2</sub> emissions and uncertainties as a prior for Earth system modelling and data assimilation M. Choulga et al. 10.5194/essd-13-5311-2021
- Interactions Between the Amazonian Rainforest and Cumuli Clouds: A Large‐Eddy Simulation, High‐Resolution ECMWF, and Observational Intercomparison Study J. Vilà‐Guerau de Arellano et al. 10.1029/2019MS001828
- Improved Constraints on Northern Extratropical CO 2 Fluxes Obtained by Combining Surface‐Based and Space‐Based Atmospheric CO 2 Measurements B. Byrne et al. 10.1029/2019JD032029
- The Resolvable Scales of Regional‐Scale CO 2 Transport in the Context of Imperfect Meteorology: The Predictability of CO 2 in a Limited‐Area Model J. Kim et al. 10.1029/2021JD034896
- Multi‐Season Evaluation of CO 2 Weather in OCO‐2 MIP Models L. Zhang et al. 10.1029/2021JD035457
- Far-field biogenic and anthropogenic emissions as a dominant source of variability in local urban carbon budgets: A global high-resolution model study with implications for satellite remote sensing A. Schuh et al. 10.1016/j.rse.2021.112473
- The CO2 Human Emissions (CHE) Project: First Steps Towards a European Operational Capacity to Monitor Anthropogenic CO2 Emissions G. Balsamo et al. 10.3389/frsen.2021.707247
- The Atmospheric Carbon and Transport (ACT)-America Mission K. Davis et al. 10.1175/BAMS-D-20-0300.1
24 citations as recorded by crossref.
- The Canadian atmospheric transport model for simulating greenhouse gas evolution on regional scales: GEM–MACH–GHG v.137-reg J. Kim et al. 10.5194/gmd-13-269-2020
- Systematic detection of local CH<sub>4</sub> anomalies by combining satellite measurements with high-resolution forecasts J. Barré et al. 10.5194/acp-21-5117-2021
- Carbon Dioxide Distribution, Origins, and Transport Along a Frontal Boundary During Summer in Mid‐Latitudes A. Samaddar et al. 10.1029/2020JD033118
- Toward an Operational Anthropogenic CO2 Emissions Monitoring and Verification Support Capacity G. Janssens-Maenhout et al. 10.1175/BAMS-D-19-0017.1
- Representing model uncertainty for global atmospheric CO<sub>2</sub> flux inversions using ECMWF-IFS-46R1 J. McNorton et al. 10.5194/gmd-13-2297-2020
- 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
- Development and evaluation of CO<sub>2</sub> transport in MPAS-A v6.3 T. Zheng et al. 10.5194/gmd-14-3037-2021
- The size of the land carbon sink in China Y. Wang et al. 10.1038/s41586-021-04255-y
- Technical note: A high-resolution inverse modelling technique for estimating surface CO<sub>2</sub> fluxes based on the NIES-TM–FLEXPART coupled transport model and its adjoint S. Maksyutov et al. 10.5194/acp-21-1245-2021
- Shipborne measurements of XCO<sub>2</sub>, XCH<sub>4</sub>, and XCO above the Pacific Ocean and comparison to CAMS atmospheric analyses and S5P/TROPOMI M. Knapp et al. 10.5194/essd-13-199-2021
- 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
- Assimilation of atmospheric CO2 observations from space can support national CO2 emission inventories T. Kaminski et al. 10.1088/1748-9326/ac3cea
- In situ observations of greenhouse gases over Europe during the CoMet 1.0 campaign aboard the HALO aircraft M. Gałkowski et al. 10.5194/amt-14-1525-2021
- Examining CO 2 Model Observation Residuals Using ACT‐America Data T. Gerken et al. 10.1029/2020JD034481
- On what scales can GOSAT flux inversions constrain anomalies in terrestrial ecosystems? B. Byrne et al. 10.5194/acp-19-13017-2019
- XCO<sub>2</sub> estimates from the OCO-2 measurements using a neural network approach L. David et al. 10.5194/amt-14-117-2021
- Global anthropogenic CO<sub>2</sub> emissions and uncertainties as a prior for Earth system modelling and data assimilation M. Choulga et al. 10.5194/essd-13-5311-2021
- Interactions Between the Amazonian Rainforest and Cumuli Clouds: A Large‐Eddy Simulation, High‐Resolution ECMWF, and Observational Intercomparison Study J. Vilà‐Guerau de Arellano et al. 10.1029/2019MS001828
- Improved Constraints on Northern Extratropical CO 2 Fluxes Obtained by Combining Surface‐Based and Space‐Based Atmospheric CO 2 Measurements B. Byrne et al. 10.1029/2019JD032029
- The Resolvable Scales of Regional‐Scale CO 2 Transport in the Context of Imperfect Meteorology: The Predictability of CO 2 in a Limited‐Area Model J. Kim et al. 10.1029/2021JD034896
- Multi‐Season Evaluation of CO 2 Weather in OCO‐2 MIP Models L. Zhang et al. 10.1029/2021JD035457
- Far-field biogenic and anthropogenic emissions as a dominant source of variability in local urban carbon budgets: A global high-resolution model study with implications for satellite remote sensing A. Schuh et al. 10.1016/j.rse.2021.112473
- The CO2 Human Emissions (CHE) Project: First Steps Towards a European Operational Capacity to Monitor Anthropogenic CO2 Emissions G. Balsamo et al. 10.3389/frsen.2021.707247
- The Atmospheric Carbon and Transport (ACT)-America Mission K. Davis et al. 10.1175/BAMS-D-20-0300.1
Latest update: 25 Mar 2023
Short summary
This paper demonstrates the benefits of using global models with high horizontal resolution to represent atmospheric CO2 patterns associated with evolving weather. The modelling of CO2 weather is crucial to interpret the variability from ground-based and satellite CO2 observations, which can then be used to infer CO2 fluxes in atmospheric inversions. The benefits of high resolution come from an improved representation of the topography, winds, tracer transport and CO2 flux distribution.
This paper demonstrates the benefits of using global models with high horizontal resolution to...
Altmetrics
Final-revised paper
Preprint