A Conservative Downscaling of Satellite-Detected Chemical Compositions: NO2 Column Densities of OMI, GOME-2, and CMAQ
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A Conservative Downscaling of Satellite-Detected Chemical Compositions: NO2 Column Densities of OMI, GOME-2, and CMAQ
  • Published Date:

    2018

  • Source:
    Remote Sensing, 10(7), 17.
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A Conservative Downscaling of Satellite-Detected Chemical Compositions: NO2 Column Densities of OMI, GOME-2, and CMAQ
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  • Personal Author:
  • Description:
    A conservative downscaling technique was applied when comparing nitrogen dioxide (NO2) column densities from space-borne observations and a fine-scale regional model. The conservative downscaling was designed to enhance the spatial resolution of satellite measurements by applying the fine-scale spatial structure from the model, with strict mass conservation at each satellite footprint pixel level. With the downscaling approach, NO2 column densities from the Ozone Monitoring Instrument (OMI; 13 x 24 km nadir footprint resolution) and the Global Ozone Monitoring Experiment-2 (GOME-2; 40 x 80 km) show excellent agreement with the Community Multiscale Air Quality (CMAQ; 4 x 4 km) NO2 column densities, with R = 0.96 for OMI and R = 0.97 for GOME-2. We further introduce an approach to reconstruct surface NO2 concentrations by combining satellite column densities and simulated surface-to-column ratios from the model. Compared with the Environmental Protection Agency's (EPA) Air Quality System (AQS) surface observations, the reconstructed surface concentrations show a good agreement; R = 0.86 for both OMI and GOME-2. This study demonstrates that the conservative downscaling approach is a useful tool to compare coarse-scale satellites with fine-scale models or observations in urban areas for air quality and emissions studies. The reconstructed fine-scale surface concentration field could be used for future epidemiology and urbanization studies.
  • DOI:
    http://dx.doi.org/10.3390/rs10071001
  • Document Type:
    Journal Article
  • Collection(s):
    NOAA Cooperative Institutes
    Office of Oceanic and Atmospheric Research (OAR)
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    1. Filetype[PDF - 2.82 MB]
      Personal Author:
      Giorgetta, M. A.; Brokopf, R.; Crueger, T.; Esch, M.; Fiedler, S.; Helmert, J.; Hohenegger, C.; Kornblueh, L.; Köhler, M.; Manzini, E.; Mauritsen, T.; Nam, C.; Raddatz, T.; Rast, S.; Reinert, D.; Sakradzija, M.; Schmidt, H.; Schneck, R.; Schnur, R.; Silvers, L.; Wan, H.; Zängl, G.; Stevens, B.;
      Published Date:
      2018
      Source:
      Journal of Advances in Modeling Earth Systems, 10(7), 1613-1637.
      Description:
      Abstract ICON-A is the new icosahedral nonhydrostatic (ICON) atmospheric general circulation model in a configuration using the Max Planck Institute physics package, which originates from the ECHAM6 general circulation model, and has been adapted to ...
      File Type:
      Filetype[PDF - 2.82 MB]
    2. Filetype[PDF - 20.52 MB]
      Personal Author:
      Costa, B.; Kendall, M. S.; Parrish, F. A.; Rooney, J.; Boland, R. C.; Chow, M.; Lecky, J.; Montgomery, A.; Spalding, H.;
      Published Date:
      2015
      Source:
      PLOS ONE, 10(7), e0130285.
      Description:
      Mesophotic hard corals (MHC) are increasingly threatened by a growing number of anthropogenic stressors, including impacts from fishing, land-based sources of pollution, and ocean acidification. However, little is known about their geographic distrib...
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      Filetype[PDF - 20.52 MB]

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