2017
DOI: 10.5194/amt-2017-87
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Simulation of the Ozone Monitoring Instrument Aerosol Index using the NASA Goddard Earth Observing System Aerosol Reanalysis Products

Abstract: Abstract. We provide an analysis of the commonly used Ozone Monitoring Instrument (OMI) aerosol index (AI) product for qualitative detection of the presence and loading of absorbing aerosols. In our analysis, simulated top-of-atmosphere (TOA) radiances are produced at the OMI footprints from a model atmosphere and aerosol profile provided by the NASA Goddard Earth Observing System (GEOS-5) Modern-Era Retrospective Analysis for Research and Applications aerosol reanalysis (MERRAero). Having established the cred… Show more

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Cited by 8 publications
(11 citation statements)
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References 31 publications
(40 reference statements)
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“…The difference of the logarithms of both ratios (and multiplied by −100) constitutes the UVAI. Several studies have demonstrated the effectiveness of using the positive values of UVAI to detect the presence of absorbing aerosols (Buchard et al, ; Colarco et al, ; Herman & Celarier, ; Hsu et al, ; Zhang et al, ). One particular feature of the UVAI is its sensitivity to absorbing aerosols over bright backgrounds, such as semiarid and arid regions and clouds.…”
Section: Data Sets and Methodologymentioning
confidence: 99%
“…The difference of the logarithms of both ratios (and multiplied by −100) constitutes the UVAI. Several studies have demonstrated the effectiveness of using the positive values of UVAI to detect the presence of absorbing aerosols (Buchard et al, ; Colarco et al, ; Herman & Celarier, ; Hsu et al, ; Zhang et al, ). One particular feature of the UVAI is its sensitivity to absorbing aerosols over bright backgrounds, such as semiarid and arid regions and clouds.…”
Section: Data Sets and Methodologymentioning
confidence: 99%
“…The prognostic aerosol module of the weather‐and‐climate capable National Aeronautics and Space Administration Goddard Earth Observing System (GEOS) global Earth system model (Molod et al, 2015; Rienecker et al, 2008) was used to simulated the pyroCb‐triggered injections of August 2017. It is based on the Goddard Chemistry, Aerosol, Radiation, and Transport module (Chin et al, 2002, 2009; Colarco et al, 2010) that accounts for the emissions, and dry and wet losses for seven aerosol species including black carbon (BC) and brown carbon (BrC, Colarco et al, 2017). Aerosol species are treated as external mixtures that are transported online and are radiatively coupled in the GEOS atmospheric general circulation model.…”
Section: Estimation Of Injected Stratospheric Aerosol Massmentioning
confidence: 99%
“…For SS, SU, and the hydrophilic portion of carbonaceous aerosol, hygroscopic growth is considered following Chin et al (2002) , with growth factors from OPAC ( Gerber, 1985 ). The RI for organic carbon is based on the 100 % brown carbon case from Hammer et al (2016) and it is implemented as described in Colarco et al (2017) .…”
Section: Measurement Setup and Data Analysismentioning
confidence: 99%