Articles | Volume 18, issue 5
https://doi.org/10.5194/acp-18-3387-2018
© Author(s) 2018. 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-18-3387-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
High-resolution quantification of atmospheric CO2 mixing ratios in the Greater Toronto Area, Canada
Stephanie C. Pugliese
University of Toronto, Department of Chemistry, 80 St. George St, Toronto, ON, M5S 3H6, Canada
Jennifer G. Murphy
CORRESPONDING AUTHOR
University of Toronto, Department of Chemistry, 80 St. George St, Toronto, ON, M5S 3H6, Canada
Felix R. Vogel
Laboratoire des Sciences du Climat et de L'Environnement, CEA-CNRS-UVSQ, Université de Paris-Saclay, France
Environment and Climate Change Canada, Climate Research Division, 4905 Dufferin St. Toronto, ON, M3H 5T4, Canada
Michael D. Moran
Environment and Climate Change Canada, Air Quality Research Division, 4905 Dufferin St. Toronto, ON, M3H 5T4, Canada
Junhua Zhang
Environment and Climate Change Canada, Air Quality Research Division, 4905 Dufferin St. Toronto, ON, M3H 5T4, Canada
Qiong Zheng
Environment and Climate Change Canada, Air Quality Research Division, 4905 Dufferin St. Toronto, ON, M3H 5T4, Canada
Craig A. Stroud
Environment and Climate Change Canada, Air Quality Research Division, 4905 Dufferin St. Toronto, ON, M3H 5T4, Canada
Shuzhan Ren
Environment and Climate Change Canada, Air Quality Research Division, 4905 Dufferin St. Toronto, ON, M3H 5T4, Canada
Douglas Worthy
Environment and Climate Change Canada, Climate Research Division, 4905 Dufferin St. Toronto, ON, M3H 5T4, Canada
Gregoire Broquet
Laboratoire des Sciences du Climat et de L'Environnement, CEA-CNRS-UVSQ, Université de Paris-Saclay, France
Viewed
Total article views: 3,208 (including HTML, PDF, and XML)
Cumulative views and downloads
(calculated since 26 Jul 2017)
HTML | XML | Total | Supplement | BibTeX | EndNote | |
---|---|---|---|---|---|---|
1,945 | 1,169 | 94 | 3,208 | 365 | 86 | 66 |
- HTML: 1,945
- PDF: 1,169
- XML: 94
- Total: 3,208
- Supplement: 365
- BibTeX: 86
- EndNote: 66
Total article views: 2,673 (including HTML, PDF, and XML)
Cumulative views and downloads
(calculated since 08 Mar 2018)
HTML | XML | Total | Supplement | BibTeX | EndNote | |
---|---|---|---|---|---|---|
1,660 | 929 | 84 | 2,673 | 220 | 79 | 56 |
- HTML: 1,660
- PDF: 929
- XML: 84
- Total: 2,673
- Supplement: 220
- BibTeX: 79
- EndNote: 56
Total article views: 535 (including HTML, PDF, and XML)
Cumulative views and downloads
(calculated since 26 Jul 2017)
HTML | XML | Total | Supplement | BibTeX | EndNote | |
---|---|---|---|---|---|---|
285 | 240 | 10 | 535 | 145 | 7 | 10 |
- HTML: 285
- PDF: 240
- XML: 10
- Total: 535
- Supplement: 145
- BibTeX: 7
- EndNote: 10
Viewed (geographical distribution)
Total article views: 3,208 (including HTML, PDF, and XML)
Thereof 3,166 with geography defined
and 42 with unknown origin.
Total article views: 2,673 (including HTML, PDF, and XML)
Thereof 2,646 with geography defined
and 27 with unknown origin.
Total article views: 535 (including HTML, PDF, and XML)
Thereof 520 with geography defined
and 15 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
12 citations as recorded by crossref.
- Investigation of the Spatial Distribution of Methane Sources in the Greater Toronto Area Using Mobile Gas Monitoring Systems S. Ars et al. 10.1021/acs.est.0c05386
- A Modeling Framework of Atmospheric CO2 in the Mediterranean Marseille Coastal City Area, France B. Nathan et al. 10.3390/atmos15101193
- Integrated urban services: Experience from four cities on different continents A. Baklanov et al. 10.1016/j.uclim.2020.100610
- 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
- Monitoring Urban Greenhouse Gases Using Open-Path Fourier Transform Spectroscopy B. Byrne et al. 10.1080/07055900.2019.1698407
- A multi-city urban atmospheric greenhouse gas measurement data synthesis L. Mitchell et al. 10.1038/s41597-022-01467-3
- Quantifying the Impact of the COVID-19 Pandemic Restrictions on CO, CO2, and CH4 in Downtown Toronto Using Open-Path Fourier Transform Spectroscopy Y. You et al. 10.3390/atmos12070848
- Towards understanding the variability in source contribution of CO2 using high-resolution simulations of atmospheric δ13CO2 signatures in the Greater Toronto Area, Canada S. Domenikos et al. 10.1016/j.atmosenv.2019.116877
- The Facility Level and Area Methane Emissions inventory for the Greater Toronto Area (FLAME-GTA) N. Mostafavi Pak et al. 10.1016/j.atmosenv.2021.118319
- Statistical characterization of urban CO2 emission signals observed by commercial airliner measurements T. Umezawa et al. 10.1038/s41598-020-64769-9
- The impact of the COVID-19 lockdown on greenhouse gases: a multi-city analysis of in situ atmospheric observations V. Monteiro et al. 10.1088/2515-7620/ac66cb
- Observing local CO<sub>2</sub> sources using low-cost, near-surface urban monitors A. Shusterman et al. 10.5194/acp-18-13773-2018
12 citations as recorded by crossref.
- Investigation of the Spatial Distribution of Methane Sources in the Greater Toronto Area Using Mobile Gas Monitoring Systems S. Ars et al. 10.1021/acs.est.0c05386
- A Modeling Framework of Atmospheric CO2 in the Mediterranean Marseille Coastal City Area, France B. Nathan et al. 10.3390/atmos15101193
- Integrated urban services: Experience from four cities on different continents A. Baklanov et al. 10.1016/j.uclim.2020.100610
- 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
- Monitoring Urban Greenhouse Gases Using Open-Path Fourier Transform Spectroscopy B. Byrne et al. 10.1080/07055900.2019.1698407
- A multi-city urban atmospheric greenhouse gas measurement data synthesis L. Mitchell et al. 10.1038/s41597-022-01467-3
- Quantifying the Impact of the COVID-19 Pandemic Restrictions on CO, CO2, and CH4 in Downtown Toronto Using Open-Path Fourier Transform Spectroscopy Y. You et al. 10.3390/atmos12070848
- Towards understanding the variability in source contribution of CO2 using high-resolution simulations of atmospheric δ13CO2 signatures in the Greater Toronto Area, Canada S. Domenikos et al. 10.1016/j.atmosenv.2019.116877
- The Facility Level and Area Methane Emissions inventory for the Greater Toronto Area (FLAME-GTA) N. Mostafavi Pak et al. 10.1016/j.atmosenv.2021.118319
- Statistical characterization of urban CO2 emission signals observed by commercial airliner measurements T. Umezawa et al. 10.1038/s41598-020-64769-9
- The impact of the COVID-19 lockdown on greenhouse gases: a multi-city analysis of in situ atmospheric observations V. Monteiro et al. 10.1088/2515-7620/ac66cb
- Observing local CO<sub>2</sub> sources using low-cost, near-surface urban monitors A. Shusterman et al. 10.5194/acp-18-13773-2018
Discussed (final revised paper)
Latest update: 05 Nov 2024
Short summary
We developed the Southern Ontario CO2 Emissions (SOCE) inventory, which identifies the spatial and temporal distribution (2.5 km and hourly, respectively) of CO2 emissions from seven source sectors. When the SOCE inventory was used with a chemistry transport model, we found strong agreement between modelled and measured mixing ratios. We were able to quantify that natural gas combustion contributes > 80 % of CO2 emissions at nighttime while on-road emissions contribute > 70 % during the day.
We developed the Southern Ontario CO2 Emissions (SOCE) inventory, which identifies the spatial...
Altmetrics
Final-revised paper
Preprint