Articles | Volume 11, issue 22
Atmos. Chem. Phys., 11, 11761–11775, 2011
https://doi.org/10.5194/acp-11-11761-2011

Special issue: The Border Air Quality and Meteorology Study (BAQS-Met)

Atmos. Chem. Phys., 11, 11761–11775, 2011
https://doi.org/10.5194/acp-11-11761-2011

Research article 24 Nov 2011

Research article | 24 Nov 2011

Novel application of satellite and in-situ measurements to map surface-level NO2 in the Great Lakes region

C. J. Lee1, J. R. Brook2, G. J. Evans1, R. V. Martin3,4, and C. Mihele2 C. J. Lee et al.
  • 1Southern Ontario Centre for Atmospheric Aerosol Research, Department of Chemical Engineering and Applied Chemistry, University of Toronto, Toronto, Ontario, Canada
  • 2Air Quality Research Division, Science and Technology Branch, Environment Canada, Downsview, ON, Canada
  • 3Department of Physics and Atmospheric Science, Dalhousie University, Halifax, Nova Scotia, Canada
  • 4Harvard-Smithsonian Center for Astrophysics, Cambridge, MA, USA

Abstract. Ozone Monitoring Instrument (OMI) tropospheric NO2 vertical column density data were used in conjunction with in-situ NO2 concentrations collected by permanently installed monitoring stations to infer 24 h surface-level NO2 concentrations at 0.1° (~11 km) resolution. The region examined included rural and suburban areas, and the highly industrialised area of Windsor, Ontario, which is situated directly across the US-Canada border from Detroit, MI. Photolytic NO2 monitors were collocated with standard NO2 monitors to provide qualitative data regarding NOz interference during the campaign. The accuracy of the OMI-inferred concentrations was tested using two-week integrative NO2 measurements collected with passive monitors at 18 locations, approximating a 15 km grid across the region, for 7 consecutive two-week periods. When compared with these passive results, satellite-inferred concentrations showed an 18% positive bias. The correlation of the passive monitor and OMI-inferred concentrations (R=0.69, n=115) was stronger than that for the passive monitor concentrations and OMI column densities (R=0.52), indicating that using a sparse network of monitoring sites to estimate concentrations improves the direct utility of the OMI observations. OMI-inferred concentrations were then calculated for four years to show an overall declining trend in surface NO2 concentrations in the region. Additionally, by separating OMI-inferred surface concentrations by wind direction, clear patterns in emissions and affected down-wind regions, in particular around the US-Canada border, were revealed.

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