Articles | Volume 16, issue 18
https://doi.org/10.5194/acp-16-12005-2016
© Author(s) 2016. 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-16-12005-2016
© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Research article
| 
26 Sep 2016
Research article |
| 26 Sep 2016
Greenhouse gas simulations with a coupled meteorological and transport model: the predictability of CO2
Saroja M. Polavarapu
CORRESPONDING AUTHOR
Climate Research Division, Environment and Climate Change Canada,
Toronto, Ontario, M3H 5T4, Canada
Michael Neish
Climate Research Division, Environment and Climate Change Canada,
Toronto, Ontario, M3H 5T4, Canada
Monique Tanguay
Meteorological Research Division, Environment and Climate Change
Canada, Dorval, Québec, H9P 1J3, Canada
Claude Girard
Meteorological Research Division, Environment and Climate Change
Canada, Dorval, Québec, H9P 1J3, Canada
Jean de Grandpré
Air Quality Research Division, Environment and Climate Change Canada,
Dorval, Québec, H9P 1J3, Canada
Kirill Semeniuk
Air Quality Research Division, Environment and Climate Change Canada,
Dorval, Québec, H9P 1J3, Canada
Sylvie Gravel
Air Quality Research Division, Environment and Climate Change Canada,
Dorval, Québec, H9P 1J3, Canada
Shuzhan Ren
Air Quality Research Division, Environment and Climate Change Canada,
Toronto, Ontario, M3H 5T4, Canada
Sébastien Roche
Dept. of Physics, University of Toronto, Toronto, Ontario, M5S 1A7,
Canada
Douglas Chan
Climate Research Division, Environment and Climate Change Canada,
Toronto, Ontario, M3H 5T4, Canada
Kimberly Strong
Dept. of Physics, University of Toronto, Toronto, Ontario, M5S 1A7,
Canada
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Cited
14 citations as recorded by crossref.
- The Atmospheric Imaging Mission for Northern Regions: AIM-North R. Nassar et al. 10.1080/07038992.2019.1643707
- Characterization of Regional‐Scale CO2 Transport Uncertainties in an Ensemble with Flow‐Dependent Transport Errors H. Chen et al. 10.1029/2018GL081341
- Coupling the Canadian Terrestrial Ecosystem Model (CTEM v. 2.0) to Environment and Climate Change Canada's greenhouse gas forecast model (v.107-glb) B. Badawy et al. 10.5194/gmd-11-631-2018
- Modelling CO<sub>2</sub> weather – why horizontal resolution matters A. Agustí-Panareda et al. 10.5194/acp-19-7347-2019
- A comparison of posterior atmospheric CO<sub>2</sub> adjustments obtained from in situ and GOSAT constrained flux inversions S. Polavarapu et al. 10.5194/acp-18-12011-2018
- Development and evaluation of CO<sub>2</sub> transport in MPAS-A v6.3 T. Zheng et al. 10.5194/gmd-14-3037-2021
- National CO2budgets (2015–2020) inferred from atmospheric CO2observations in support of the global stocktake B. Byrne et al. 10.5194/essd-15-963-2023
- Improving the inter-hemispheric gradient of total column atmospheric CO<sub>2</sub> and CH<sub>4</sub> in simulations with the ECMWF semi-Lagrangian atmospheric global model A. Agusti-Panareda et al. 10.5194/gmd-10-1-2017
- The Environment and Climate Change Canada Carbon Assimilation System (EC-CAS v1.0): demonstration with simulated CO observations V. Khade et al. 10.5194/gmd-14-2525-2021
- Evaluating GPP and Respiration Estimates Over Northern Midlatitude Ecosystems Using Solar‐Induced Fluorescence and Atmospheric CO2 Measurements B. Byrne et al. 10.1029/2018JG004472
- Climate, ecosystems, and planetary futures: The challenge to predict life in Earth system models G. Bonan & S. Doney 10.1126/science.aam8328
- The Resolvable Scales of Regional‐Scale CO2 Transport in the Context of Imperfect Meteorology: The Predictability of CO2 in a Limited‐Area Model J. Kim et al. 10.1029/2021JD034896
- 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
- A new algorithm to generate a priori trace gas profiles for the GGG2020 retrieval algorithm J. Laughner et al. 10.5194/amt-16-1121-2023
14 citations as recorded by crossref.
- The Atmospheric Imaging Mission for Northern Regions: AIM-North R. Nassar et al. 10.1080/07038992.2019.1643707
- Characterization of Regional‐Scale CO2 Transport Uncertainties in an Ensemble with Flow‐Dependent Transport Errors H. Chen et al. 10.1029/2018GL081341
- Coupling the Canadian Terrestrial Ecosystem Model (CTEM v. 2.0) to Environment and Climate Change Canada's greenhouse gas forecast model (v.107-glb) B. Badawy et al. 10.5194/gmd-11-631-2018
- Modelling CO<sub>2</sub> weather – why horizontal resolution matters A. Agustí-Panareda et al. 10.5194/acp-19-7347-2019
- A comparison of posterior atmospheric CO<sub>2</sub> adjustments obtained from in situ and GOSAT constrained flux inversions S. Polavarapu et al. 10.5194/acp-18-12011-2018
- Development and evaluation of CO<sub>2</sub> transport in MPAS-A v6.3 T. Zheng et al. 10.5194/gmd-14-3037-2021
- National CO2budgets (2015–2020) inferred from atmospheric CO2observations in support of the global stocktake B. Byrne et al. 10.5194/essd-15-963-2023
- Improving the inter-hemispheric gradient of total column atmospheric CO<sub>2</sub> and CH<sub>4</sub> in simulations with the ECMWF semi-Lagrangian atmospheric global model A. Agusti-Panareda et al. 10.5194/gmd-10-1-2017
- The Environment and Climate Change Canada Carbon Assimilation System (EC-CAS v1.0): demonstration with simulated CO observations V. Khade et al. 10.5194/gmd-14-2525-2021
- Evaluating GPP and Respiration Estimates Over Northern Midlatitude Ecosystems Using Solar‐Induced Fluorescence and Atmospheric CO2 Measurements B. Byrne et al. 10.1029/2018JG004472
- Climate, ecosystems, and planetary futures: The challenge to predict life in Earth system models G. Bonan & S. Doney 10.1126/science.aam8328
- The Resolvable Scales of Regional‐Scale CO2 Transport in the Context of Imperfect Meteorology: The Predictability of CO2 in a Limited‐Area Model J. Kim et al. 10.1029/2021JD034896
- 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
- A new algorithm to generate a priori trace gas profiles for the GGG2020 retrieval algorithm J. Laughner et al. 10.5194/amt-16-1121-2023
Latest update: 23 Apr 2024
Short summary
CO2 predictions are used to compute model–data mismatches when estimating surfaces fluxes using atmospheric observations together with an atmospheric transport model. By isolating the component of transport error which is due to uncertain meteorological analyses, it is demonstrated that CO2 can only be defined on large spatial scales. Thus, there is a spatial scale below which we cannot infer fluxes simply due to the fact that meteorological analyes are imperfect.
CO2 predictions are used to compute model–data mismatches when estimating surfaces fluxes using...
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