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  • Environment Pollution; Geophysics  (1)
  • Spacecraft Instrumentation and Astrionics  (1)
  • 1
    Publication Date: 2019-07-13
    Description: Isolated power plants with well characterized emissions serve as an ideal test case of methods to estimate emissions using satellite data. In this study we evaluate the Exponentially-Modified Gaussian (EMG) method and the box model method based on mass balance for estimating known NOx emissions from satellite retrievals made by the Ozone Monitoring Instrument (OMI). We consider 29 power plants in the USA which have large NOx plumes that do not overlap with other sources and which have emissions data from the Continuous Emission Monitoring System (CEMS). This enables us to identify constraints required by the methods, such as which wind data to use and how to calculate background values. We found that the lifetimes estimated by the methods are too short to be representative of the chemical lifetime. Instead, we introduce a separate lifetime parameter to account for the discrepancy between estimates using real data and those that theory would predict. In terms of emissions, the EMG method required averages from multiple years to give accurate results, whereas the box model method gave accurate results for individual ozone seasons.
    Keywords: Spacecraft Instrumentation and Astrionics
    Type: GSFC-E-DAA-TN26934 , Atmospheric Environment; 116; 1-11
    Format: application/pdf
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  • 2
    Publication Date: 2019-07-13
    Description: This overview paper highlights the successes of the Ozone Monitoring Instrument (OMI) on board the Aura satellite spanning a period of nearly 14 years. Data from OMI has been used in a wide range of applications and research resulting in many new findings. Due to its unprecedented spatial resolution, in combination with daily global coverage, OMI plays a unique role in measuring trace gases important for the ozone layer, air quality, and climate change. With the operational very fast delivery (VFD; direct readout) and near real-time (NRT) availability of the data, OMI also plays an important role in the development of operational services in the atmospheric chemistry domain.
    Keywords: Environment Pollution; Geophysics
    Type: GSFC-E-DAA-TN55932 , Atmospheric Chemistry and Physics (e-ISSN 1680-7324); 18; 8; 5699-5745
    Format: text
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