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Atmospheric Chemistry and Physics An interactive open-access journal of the European Geosciences Union
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Volume 17, issue 18 | Copyright
Atmos. Chem. Phys., 17, 11403-11421, 2017
https://doi.org/10.5194/acp-17-11403-2017
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.

Research article 26 Sep 2017

Research article | 26 Sep 2017

A high-resolution and observationally constrained OMI NO2 satellite retrieval

Daniel L. Goldberg1,2, Lok N. Lamsal3,4, Christopher P. Loughner5,6, William H. Swartz4,7, Zifeng Lu1,2, and David G. Streets1,2 Daniel L. Goldberg et al.
  • 1Energy Systems Division, Argonne National Laboratory, Argonne, IL 60439, USA
  • 2Computation Institute, University of Chicago, Chicago, IL 60637, USA
  • 3Goddard Earth Sciences Technology and Research, Universities Space Research Association, Columbia, MD 21046, USA
  • 4NASA Goddard Space Flight Center, Code 614, Greenbelt, MD 20771, USA
  • 5NOAA Air Resources Laboratory, College Park, MD 20740, USA
  • 6Earth System Science Interdisciplinary Center, University of Maryland, College Park, MD 20740, USA
  • 7Johns Hopkins University Applied Physics Laboratory, Laurel, MD 20723, USA

Abstract. This work presents a new high-resolution NO2 dataset derived from the NASA Ozone Monitoring Instrument (OMI) NO2 version 3.0 retrieval that can be used to estimate surface-level concentrations. The standard NASA product uses NO2 vertical profile shape factors from a 1.25° × 1° (∼ 110km × 110km) resolution Global Model Initiative (GMI) model simulation to calculate air mass factors, a critical value used to determine observed tropospheric NO2 vertical columns. To better estimate vertical profile shape factors, we use a high-resolution (1.33km × 1.33km) Community Multi-scale Air Quality (CMAQ) model simulation constrained by in situ aircraft observations to recalculate tropospheric air mass factors and tropospheric NO2 vertical columns during summertime in the eastern US. In this new product, OMI NO2 tropospheric columns increase by up to 160% in city centers and decrease by 20–50% in the rural areas outside of urban areas when compared to the operational NASA product. Our new product shows much better agreement with the Pandora NO2 and Airborne Compact Atmospheric Mapper (ACAM) NO2 spectrometer measurements acquired during the DISCOVER-AQ Maryland field campaign. Furthermore, the correlation between our satellite product and EPA NO2 monitors in urban areas has improved dramatically: r2 = 0.60 in the new product vs. r2 = 0.39 in the operational product, signifying that this new product is a better indicator of surface concentrations than the operational product. Our work emphasizes the need to use both high-resolution and high-fidelity models in order to recalculate satellite data in areas with large spatial heterogeneities in NOx emissions. Although the current work is focused on the eastern US, the methodology developed in this work can be applied to other world regions to produce high-quality region-specific NO2 satellite retrievals.

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We developed a new satellite NO2 product using a high spatial resolution (1.33  ×  1.33 km) model simulation constrained by aircraft observations. The high-resolution satellite product is now able to observe the spatial heterogeneities of NO2 pollution over a large area with more clarity. The satellite is now in better agreement with monitors at ground level observing the same pollution.
We developed a new satellite NO2 product using a high spatial resolution (1.33  ×  1.33 km)...
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