Articles | Volume 13, issue 4
https://doi.org/10.5194/amt-13-2131-2020
© 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-13-2131-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
30 Apr 2020
Research article |
| 30 Apr 2020
Assessment of the quality of TROPOMI high-spatial-resolution NO2 data products in the Greater Toronto Area
Air Quality Research Division, Environment and Climate Change Canada,
Toronto, M3H 5T4, Canada
Debora Griffin
Air Quality Research Division, Environment and Climate Change Canada,
Toronto, M3H 5T4, Canada
Vitali Fioletov
Air Quality Research Division, Environment and Climate Change Canada,
Toronto, M3H 5T4, Canada
Chris McLinden
Air Quality Research Division, Environment and Climate Change Canada,
Toronto, M3H 5T4, Canada
Alexander Cede
NASA Goddard Space Flight Center, Greenbelt, MD 20771, USA
LuftBlick, Kreith 39A, 6162 Mutter, Austria
Martin Tiefengraber
LuftBlick, Kreith 39A, 6162 Mutter, Austria
Department of Atmospheric and Cryospheric Sciences, University of
Innsbruck, Innsbruck, Austria
Moritz Müller
LuftBlick, Kreith 39A, 6162 Mutter, Austria
Department of Atmospheric and Cryospheric Sciences, University of
Innsbruck, Innsbruck, Austria
Kristof Bognar
Department of Physics, University of Toronto, Toronto, ON, M5S 1A7,
Canada
Kimberly Strong
Department of Physics, University of Toronto, Toronto, ON, M5S 1A7,
Canada
Folkert Boersma
Royal Netherlands Meteorological Institute (KNMI), De Bilt, the
Netherlands
Environmental Sciences Group, Wageningen University, Wageningen, the
Netherlands
Henk Eskes
Royal Netherlands Meteorological Institute (KNMI), De Bilt, the
Netherlands
Jonathan Davies
Air Quality Research Division, Environment and Climate Change Canada,
Toronto, M3H 5T4, Canada
Akira Ogyu
Air Quality Research Division, Environment and Climate Change Canada,
Toronto, M3H 5T4, Canada
Sum Chi Lee
Air Quality Research Division, Environment and Climate Change Canada,
Toronto, M3H 5T4, Canada
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- Assessment of Airport-Related Emissions and Their Impact on Air Quality in Atlanta, GA, Using CMAQ and TROPOMI A. Lawal et al. 10.1021/acs.est.1c03388
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31 citations as recorded by crossref.
- Evaluating Sentinel-5P TROPOMI tropospheric NO<sub>2</sub> column densities with airborne and Pandora spectrometers near New York City and Long Island Sound L. Judd et al. 10.5194/amt-13-6113-2020
- Overview and Seasonality of PM10 and PM2.5 in Guayaquil, Ecuador D. Moran-Zuloaga et al. 10.1007/s41810-021-00117-2
- TROPOMI NO 2 in the United States: A Detailed Look at the Annual Averages, Weekly Cycles, Effects of Temperature, and Correlation With Surface NO 2 Concentrations D. Goldberg et al. 10.1029/2020EF001665
- Meteorological Drivers of Permian Basin Methane Anomalies Derived from TROPOMI E. Crosman 10.3390/rs13050896
- Assessment of Airport-Related Emissions and Their Impact on Air Quality in Atlanta, GA, Using CMAQ and TROPOMI A. Lawal et al. 10.1021/acs.est.1c03388
- Nitrogen Dioxide (NO2) Pollution Monitoring with Sentinel-5P Satellite Imagery over Europe during the Coronavirus Pandemic Outbreak M. Vîrghileanu et al. 10.3390/rs12213575
- Assessment of the TROPOMI tropospheric NO<sub>2</sub> product based on airborne APEX observations F. Tack et al. 10.5194/amt-14-615-2021
- A new method for inferring city emissions and lifetimes of nitrogen oxides from high-resolution nitrogen dioxide observations: a model study F. Liu et al. 10.5194/acp-22-1333-2022
- Dealing with spatial heterogeneity in pointwise-to-gridded- data comparisons A. Souri et al. 10.5194/amt-15-41-2022
- Spatial and temporal variations of air pollution over 41 cities of India during the COVID-19 lockdown period K. Vadrevu et al. 10.1038/s41598-020-72271-5
- COVID‐19 Induced Fingerprints of a New Normal Urban Air Quality in the United States S. Kondragunta et al. 10.1029/2021JD034797
- Atmospheric NO2 Distribution Characteristics and Influencing Factors in Yangtze River Economic Belt: Analysis of the NO2 Product of TROPOMI/Sentinel-5P X. Liu et al. 10.3390/atmos12091142
- Grid-stretching capability for the GEOS-Chem 13.0.0 atmospheric chemistry model L. Bindle et al. 10.5194/gmd-14-5977-2021
- Comprehensive evaluations of diurnal NO<sub>2</sub> measurements during DISCOVER-AQ 2011: effects of resolution-dependent representation of NO<sub><i>x</i></sub> emissions J. Li et al. 10.5194/acp-21-11133-2021
- Ground-based validation of the Copernicus Sentinel-5P TROPOMI NO<sub>2</sub> measurements with the NDACC ZSL-DOAS, MAX-DOAS and Pandonia global networks T. Verhoelst et al. 10.5194/amt-14-481-2021
- Validation of TROPOMI tropospheric NO<sub>2</sub> columns using dual-scan multi-axis differential optical absorption spectroscopy (MAX-DOAS) measurements in Uccle, Brussels E. Dimitropoulou et al. 10.5194/amt-13-5165-2020
- Assessment of the Performance of TROPOMI NO2 and SO2 Data Products in the North China Plain: Comparison, Correction and Application C. Wang et al. 10.3390/rs14010214
- An improved TROPOMI tropospheric NO<sub>2</sub> research product over Europe S. Liu et al. 10.5194/amt-14-7297-2021
- Declines and peaks in NO<sub>2</sub> pollution during the multiple waves of the COVID-19 pandemic in the New York metropolitan area M. Tzortziou et al. 10.5194/acp-22-2399-2022
- Changes in Power Plant NOx Emissions over Northwest Greece Using a Data Assimilation Technique I. Skoulidou et al. 10.3390/atmos12070900
- MAX-DOAS measurements of tropospheric NO<sub>2</sub> and HCHO in Munich and the comparison to OMI and TROPOMI satellite observations K. Chan et al. 10.5194/amt-13-4499-2020
- Unraveling pathways of elevated ozone induced by the 2020 lockdown in Europe by an observationally constrained regional model using TROPOMI A. Souri et al. 10.5194/acp-21-18227-2021
- Evaluating Machine Learning and Remote Sensing in Monitoring NO2 Emission of Power Plants A. Alnaim et al. 10.3390/rs14030729
- Spatiotemporal inhomogeneity of total column NO2 in a polluted urban area inferred from TROPOMI and Pandora intercomparisons J. Park et al. 10.1080/15481603.2022.2026640
- Remote sensing study of ozone, NO2, and CO: some contrary effects of SARS-CoV-2 lockdown over India P. Rawat & M. Naja 10.1007/s11356-021-17441-2
- Impacts of Soil NOx Emission on O3 Air Quality in Rural California T. Sha et al. 10.1021/acs.est.0c06834
- A wide-ranging investigation of the COVID-19 lockdown effects on the atmospheric composition in various Italian urban sites (AER – LOCUS) M. Campanelli et al. 10.1016/j.uclim.2021.100954
- Disentangling the Impact of the COVID‐19 Lockdowns on Urban NO 2 From Natural Variability D. Goldberg et al. 10.1029/2020GL089269
- Inferring ground-level nitrogen dioxide concentrations at fine spatial resolution applied to the TROPOMI satellite instrument M. Cooper et al. 10.1088/1748-9326/aba3a5
- Evaluation of the LOTOS-EUROS NO<sub>2</sub> simulations using ground-based measurements and S5P/TROPOMI observations over Greece I. Skoulidou et al. 10.5194/acp-21-5269-2021
- Assessing the Impact of Corona-Virus-19 on Nitrogen Dioxide Levels over Southern Ontario, Canada D. Griffin et al. 10.3390/rs12244112
1 citations as recorded by crossref.
Discussed (final revised paper)
Discussed (preprint)
Latest update: 29 Mar 2023
Short summary
Pandora NO2 measurements made at three sites located in the Toronto area are used to evaluate the TROPOspheric Monitoring Instrument (TROPOMI) NO2 data products, including standard NO2 and research data developed using a high-resolution regional air quality forecast model. TROPOMI pixels located upwind and downwind from the Pandora sites were analyzed by a new wind-based validation method, which revealed the spatial patterns of local and transported emissions and regional air quality changes.
Pandora NO2 measurements made at three sites located in the Toronto area are used to evaluate...
