Articles | Volume 19, issue 4
https://doi.org/10.5194/acp-19-2577-2019
© 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-19-2577-2019
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
28 Feb 2019
Research article |
| 28 Feb 2019
| 28 Feb 2019
Satellite-derived emissions of carbon monoxide, ammonia, and nitrogen dioxide from the 2016 Horse River wildfire in the Fort McMurray area
Cristen Adams
CORRESPONDING AUTHOR
Environmental Monitoring and Science Division, Government of Alberta,
Edmonton, Alberta, Canada
Chris A. McLinden
Air Quality Research Division, Environment and Climate Change Canada,
Downsview, Ontario, Canada
Mark W. Shephard
Air Quality Research Division, Environment and Climate Change Canada,
Downsview, Ontario, Canada
Nolan Dickson
Air Quality Research Division, Environment and Climate Change Canada,
Downsview, Ontario, Canada
Enrico Dammers
Air Quality Research Division, Environment and Climate Change Canada,
Downsview, Ontario, Canada
Jack Chen
Air Quality Research Division, Environment and Climate Change Canada,
Downsview, Ontario, Canada
Paul Makar
Air Quality Research Division, Environment and Climate Change Canada,
Downsview, Ontario, Canada
Karen E. Cady-Pereira
Atmospheric and Environmental Research, Lexington, MA, USA
Naomi Tam
Environmental Monitoring and Science Division, Government of Alberta,
Edmonton, Alberta, Canada
Shailesh K. Kharol
Air Quality Research Division, Environment and Climate Change Canada,
Downsview, Ontario, Canada
Lok N. Lamsal
Goddard Earth Sciences Technology and Research, Universities Space
Research Association, Columbia, MD, USA
Atmospheric Chemistry and Dynamic Laboratory, NASA Goddard Space
Flight Center, Greenbelt, MD, USA
Nickolay A. Krotkov
Atmospheric Chemistry and Dynamic Laboratory, NASA Goddard Space
Flight Center, Greenbelt, MD, USA
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35 citations as recorded by crossref.
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35 citations as recorded by crossref.
- The Global Forest Fire Emissions Prediction System version 1.0 K. Anderson et al. 10.5194/gmd-17-7713-2024
- An ensemble-variational inversion system for the estimation of ammonia emissions using CrIS satellite ammonia retrievals M. Sitwell et al. 10.5194/acp-22-6595-2022
- Biomass burning nitrogen dioxide emissions derived from space with TROPOMI: methodology and validation D. Griffin et al. 10.5194/amt-14-7929-2021
- Investigating the impacts of satellite fire observation accuracy on the top-down nitrogen oxides emission estimation in northeastern Asia Y. Fu et al. 10.1016/j.envint.2022.107498
- A roadmap to estimating agricultural ammonia volatilization over Europe using satellite observations and simulation data R. Abeed et al. 10.5194/acp-23-12505-2023
- Atmospheric reduced nitrogen: Sources, transformations, effects, and management C. Driscoll et al. 10.1080/10962247.2024.2342765
- Satellite Remote Sensing Contributions to Wildland Fire Science and Management E. Chuvieco et al. 10.1007/s40725-020-00116-5
- Air quality changes in Ukraine during the April 2020 wildfire event M. Savenets et al. 10.5937/gp24-27436
- Environmental effects of stratospheric ozone depletion, UV radiation, and interactions with climate change: UNEP Environmental Effects Assessment Panel, Update 2020 R. Neale et al. 10.1007/s43630-020-00001-x
- Diagnosing uncertainties in global biomass burning emission inventories and their impact on modeled air pollutants W. Hua et al. 10.5194/acp-24-6787-2024
- THE USE OF REMOTE SENSING OF ATMOSPHERIC COMPOSITION FOR BURNING EFFICIENCY ESTIMATION FOR UKRAINIAN TERRITORY V. Rybchynska & M. Savenets 10.17721/2306-5680.2023.2.5
- Estimation of biomass burning emission of NO2 and CO from 2019–2020 Australia fires based on satellite observations N. Wan et al. 10.5194/acp-23-711-2023
- Ground solar absorption observations of total column CO, CO2, CH4, and aerosol optical depth from California's Sequoia Lightning Complex Fire: emission factors and modified combustion efficiency at regional scales I. Frausto-Vicencio et al. 10.5194/acp-23-4521-2023
- Discussion of “Atmospheric reduced nitrogen: Sources, transformations, effects, and management” S. Wierman et al. 10.1080/10962247.2024.2396783
- Airborne Emission Rate Measurements Validate Remote Sensing Observations and Emission Inventories of Western U.S. Wildfires C. Stockwell et al. 10.1021/acs.est.1c07121
- Empirical Insights Into the Fate of Ammonia in Western U.S. Wildfire Smoke Plumes J. Lindaas et al. 10.1029/2020JD033730
- The development and application of a novel helicopter-based airborne platform for near-surface monitoring and sampling of atmospheric pollutants Y. Sun et al. 10.1016/j.atmosenv.2023.120061
- UK Ammonia Emissions Estimated With Satellite Observations and GEOS‐Chem E. Marais et al. 10.1029/2021JD035237
- Unprecedented Atmospheric Ammonia Concentrations Detected in the High Arctic From the 2017 Canadian Wildfires E. Lutsch et al. 10.1029/2019JD030419
- The FireWork v2.0 air quality forecast system with biomass burning emissions from the Canadian Forest Fire Emissions Prediction System v2.03 J. Chen et al. 10.5194/gmd-12-3283-2019
- Spatially and temporally coherent reconstruction of tropospheric NO2 over China combining OMI and GOME-2B measurements Q. He et al. 10.1088/1748-9326/abc7df
- Quantification of Atmospheric Ammonia Concentrations: A Review of Its Measurement and Modeling A. Nair & F. Yu 10.3390/atmos11101092
- The 2018 fire season in North America as seen by TROPOMI: aerosol layer height intercomparisons and evaluation of model-derived plume heights D. Griffin et al. 10.5194/amt-13-1427-2020
- Do alternative inventories converge on the spatiotemporal representation of spring ammonia emissions in France? A. Fortems-Cheiney et al. 10.5194/acp-20-13481-2020
- Data assimilation of CrIS NH<sub>3</sub> satellite observations for improving spatiotemporal NH<sub>3</sub> distributions in LOTOS-EUROS S. van der Graaf et al. 10.5194/acp-22-951-2022
- Development of an emission estimation method with satellite observations for significant forest fires and comparison with global fire emission inventories: Application to catastrophic fires of summer 2021 over the Eastern Mediterranean E. Bilgiç et al. 10.1016/j.atmosenv.2023.119871
- Emission of trace gases and aerosols from biomass burning – an updated assessment M. Andreae 10.5194/acp-19-8523-2019
- Global, regional and national trends of atmospheric ammonia derived from a decadal (2008–2018) satellite record M. Van Damme et al. 10.1088/1748-9326/abd5e0
- Biomass burning CO emissions: exploring insights through TROPOMI-derived emissions and emission coefficients D. Griffin et al. 10.5194/acp-24-10159-2024
- Reconciling the total carbon budget for boreal forest wildfire emissions using airborne observations K. Hayden et al. 10.5194/acp-22-12493-2022
- NH<sub>3</sub> emissions from large point sources derived from CrIS and IASI satellite observations E. Dammers et al. 10.5194/acp-19-12261-2019
- Observations and Modeling of NOx Photochemistry and Fate in Fresh Wildfire Plumes Q. Peng et al. 10.1021/acsearthspacechem.1c00086
- Ammonia measurements from space with the Cross-track Infrared Sounder: characteristics and applications M. Shephard et al. 10.5194/acp-20-2277-2020
- Record high levels of atmospheric ammonia over India: Spatial and temporal analyses J. Kuttippurath et al. 10.1016/j.scitotenv.2020.139986
- Ammonia emission estimates using CrIS satellite observations over Europe J. Ding et al. 10.5194/acp-24-10583-2024
Latest update: 20 Nov 2024
Short summary
We estimated how much carbon monoxide, ammonia, and nitrogen oxides were emitted in the smoke from the Fort McMurray Horse River wildfire using satellite data and air quality models. The fire emitted amounts of carbon monoxide that were similar to anthropogenic (human-caused) emissions for all of Alberta over a full year. We also estimated large amounts of ammonia and nitrogen oxides emitted from the fire. These results can be used to evaluate the performance of air quality forecasting models.
We estimated how much carbon monoxide, ammonia, and nitrogen oxides were emitted in the smoke...
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