OMI NO₂ column densities over North American urban cities: the effect of satellite footprint resolution

Nitrogen dioxide vertical column density (NO₂ VCD) measurements via satellite are compared with a fine-scale regional chemistry transport model, using a new approach that considers varying satellite footprint sizes. Space-borne NO₂ VCD measurement has been used as a proxy for surface nitrogen oxide (NO_<i>x</i>) emission, especially for anthropogenic urban emission, so accurate comparison of satellite and modeled NO₂ VCD is important in determining the future direction of NO_<i>x</i> emission policy. The NASA Ozone Monitoring Instrument (OMI) NO₂ VCD measurements, retrieved by the Royal Netherlands Meteorological Institute (KNMI), are compared with a 12 km Community Multi-scale Air Quality (CMAQ) simulation from the National Oceanic and Atmospheric Administration. We found that the OMI footprint-pixel sizes are too coarse to resolve urban NO₂ plumes, resulting in a possible underestimation in the urban core and overestimation outside. In order to quantify this effect of resolution geometry, we have made two estimates. First, we constructed pseudo-OMI data using fine-scale outputs of the model simulation. Assuming the fine-scale model output is a true measurement, we then collected real OMI footprint coverages and performed conservative spatial regridding to generate a set of fake OMI pixels out of fine-scale model outputs. When compared to the original data, the pseudo-OMI data clearly showed smoothed signals over urban locations, resulting in roughly 20–30 % underestimation over major cities. Second, we further conducted conservative downscaling of OMI NO₂ VCDs using spatial information from the fine-scale model to adjust the spatial distribution, and also applied averaging kernel (AK) information to adjust the vertical structure. Four-way comparisons were conducted between OMI with and without downscaling and CMAQ with and without AK information. Results show that OMI and CMAQ NO₂ VCDs show the best agreement when both downscaling and AK methods are applied, with the correlation coefficient <i>R</i> = 0.89. This study suggests that satellite footprint sizes might have a considerable effect on the measurement of fine-scale urban NO₂ plumes. The impact of satellite footprint resolution should be considered when using satellite observations in emission policy making, and the new downscaling approach can provide a reference uncertainty for the use of satellite NO₂ measurements over most cities