Articles | Volume 13, issue 3
https://doi.org/10.5194/amt-13-1129-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/amt-13-1129-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Validation of MAX-DOAS retrievals of aerosol extinction, SO2, and NO2 through comparison with lidar, sun photometer, active DOAS, and aircraft measurements in the Athabasca oil sands region
Zoë Y. W. Davis
CORRESPONDING AUTHOR
Department of Earth and Space Science, York University, Toronto, Ontario, M3J 1P3, Canada
Udo Frieß
Institute of Environmental Physics, 69120 Heidelberg, Germany
Kevin B. Strawbridge
Environment and Climate Change Canada, Toronto, Ontario, M3H 5T4, Canada
Monika Aggarwaal
Department of Earth and Space Science, York University, Toronto, Ontario, M3J 1P3, Canada
Sabour Baray
Centre for Atmospheric Chemistry, York University, Toronto, Ontario, M3J 1P3, Canada
Elijah G. Schnitzler
Department of Chemistry, University of Toronto, Toronto, Ontario, M5S 3H6, Canada
Akshay Lobo
Centre for Atmospheric Chemistry, York University, Toronto, Ontario, M3J 1P3, Canada
now at: Department of Orthopaedics, University of British
Columbia, Vancouver, British Columbia, V5Z 1M9, Canada
Vitali E. Fioletov
Environment and Climate Change Canada, Toronto, Ontario, M3H 5T4, Canada
Ihab Abboud
Environment and Climate Change Canada, Toronto, Ontario, M3H 5T4, Canada
Chris A. McLinden
Environment and Climate Change Canada, Toronto, Ontario, M3H 5T4, Canada
Jim Whiteway
Department of Earth and Space Science, York University, Toronto, Ontario, M3J 1P3, Canada
Megan D. Willis
Department of Chemistry, University of Toronto, Toronto, Ontario, M5S 3H6, Canada
now at: Chemical Sciences Division, Lawrence Berkeley National Lab, Berkeley, California 94720, USA
Alex K. Y. Lee
Department of Civil and Environmental Engineering, National
University of Singapore, 117576, Singapore, Singapore
Jeff Brook
Environment and Climate Change Canada, Toronto, Ontario, M3H 5T4, Canada
now at: Dalla Lana School of Public Health, University of Toronto,
Toronto, Ontario, M5S 3H6, Canada
Jason Olfert
Department of Mechanical Engineering, University of Alberta,
Edmonton, Alberta, T6G 1H9, Canada
Jason O'Brien
Environment and Climate Change Canada, Toronto, Ontario, M3H 5T4, Canada
Ralf Staebler
Environment and Climate Change Canada, Toronto, Ontario, M3H 5T4, Canada
Hans D. Osthoff
Department of Chemistry, University of Calgary, Calgary, Alberta, T2N 1N4, Canada
Cristian Mihele
Environment and Climate Change Canada, Toronto, Ontario, M3H 5T4, Canada
Robert McLaren
Centre for Atmospheric Chemistry, York University, Toronto, Ontario, M3J 1P3, Canada
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Cited
11 citations as recorded by crossref.
- Estimation of NOx and SO2 emissions from Sarnia, Ontario, using a mobile MAX-DOAS (Multi-AXis Differential Optical Absorption Spectroscopy) and a NOx analyzer Z. Davis et al. https://doi.org/10.5194/acp-19-13871-2019
- Tropospheric bromine monoxide in Ny-Ålesund: source analysis and impacts on atmospheric chemistry Q. Li et al. https://doi.org/10.5194/acp-26-6165-2026
- Assessment of vertical characterization and potential sources of aerosols in different altitude layers: Combined application of MAX-DOAS observation and the 3D-CWT model J. Chen et al. https://doi.org/10.1016/j.atmosres.2023.107046
- The differences between remote sensing and in situ air pollutant measurements over the Canadian oil sands X. Zhao et al. https://doi.org/10.5194/amt-17-6889-2024
- Optimizing airborne emission rate retrievals with sub-hectometre resolution numerical modelling S. Fathi et al. https://doi.org/10.5194/amt-19-3911-2026
- Industrial Dry Heat Island and Dispersion of Air Pollutants Induced by Large Coal-Fired Activities J. Xin et al. https://doi.org/10.1021/acs.est.4c02300
- Integrating MAX-DOAS, Long-Path DOAS, and TROPOMI Data for Tropospheric Pollutant Analysis in Brighton, UK A. Innocent et al. https://doi.org/10.3390/atmos17080707
- Measuring the Vertical Profiles of Aerosol Extinction in the Lower Troposphere by MAX-DOAS at a Rural Site in the North China Plain S. Cheng et al. https://doi.org/10.3390/atmos11101037
- UAV-Based Hyperspectral Imaging Bridges the Spatial Gap in Pollution Source Identification C. Xing et al. https://doi.org/10.1021/acs.analchem.5c06398
- Study of aerosol characteristics and sources using MAX-DOAS measurement during haze at an urban site in the Fenwei Plain X. Li et al. https://doi.org/10.1016/j.jes.2020.12.015
- Atmospheric Aerosol Scattering Coefficients in a Broad Visible Spectral Region R. Arun et al. https://doi.org/10.1007/s41810-021-00101-w
11 citations as recorded by crossref.
- Estimation of NOx and SO2 emissions from Sarnia, Ontario, using a mobile MAX-DOAS (Multi-AXis Differential Optical Absorption Spectroscopy) and a NOx analyzer Z. Davis et al. https://doi.org/10.5194/acp-19-13871-2019
- Tropospheric bromine monoxide in Ny-Ålesund: source analysis and impacts on atmospheric chemistry Q. Li et al. https://doi.org/10.5194/acp-26-6165-2026
- Assessment of vertical characterization and potential sources of aerosols in different altitude layers: Combined application of MAX-DOAS observation and the 3D-CWT model J. Chen et al. https://doi.org/10.1016/j.atmosres.2023.107046
- The differences between remote sensing and in situ air pollutant measurements over the Canadian oil sands X. Zhao et al. https://doi.org/10.5194/amt-17-6889-2024
- Optimizing airborne emission rate retrievals with sub-hectometre resolution numerical modelling S. Fathi et al. https://doi.org/10.5194/amt-19-3911-2026
- Industrial Dry Heat Island and Dispersion of Air Pollutants Induced by Large Coal-Fired Activities J. Xin et al. https://doi.org/10.1021/acs.est.4c02300
- Integrating MAX-DOAS, Long-Path DOAS, and TROPOMI Data for Tropospheric Pollutant Analysis in Brighton, UK A. Innocent et al. https://doi.org/10.3390/atmos17080707
- Measuring the Vertical Profiles of Aerosol Extinction in the Lower Troposphere by MAX-DOAS at a Rural Site in the North China Plain S. Cheng et al. https://doi.org/10.3390/atmos11101037
- UAV-Based Hyperspectral Imaging Bridges the Spatial Gap in Pollution Source Identification C. Xing et al. https://doi.org/10.1021/acs.analchem.5c06398
- Study of aerosol characteristics and sources using MAX-DOAS measurement during haze at an urban site in the Fenwei Plain X. Li et al. https://doi.org/10.1016/j.jes.2020.12.015
- Atmospheric Aerosol Scattering Coefficients in a Broad Visible Spectral Region R. Arun et al. https://doi.org/10.1007/s41810-021-00101-w
Saved (final revised paper)
Latest update: 02 Sep 2026
Short summary
Here, we evaluate a ground-based remote sensing method (MAX-DOAS) for measuring total pollutant loading and vertical profiles of pollution in the lower atmosphere by comparing our method to a variety of other measurement methods (lidar, sunphotometer, active DOAS, and aircraft measurements). Measurements were made in the Athabasca Oil Sands Region in Alberta, Canada. The complex dataset provided a rare opportunity to evaluate the performance of MAX-DOAS under varying atmospheric conditions.
Here, we evaluate a ground-based remote sensing method (MAX-DOAS) for measuring total pollutant...