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Simulation of the Ozone Monitoring Instrument Aerosol Index Using the NASA Goddard Earth Observing System Aerosol Reanalysis ProductsWe 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 credibility of the MERRAero simulation of the OMI AI in a previous paper we describe updates in the approach and aerosol optical property assumptions. The OMI TOA radiances are computed in cloud-free conditions from the MERRAero atmospheric state, and the AI is calculated. The simulated TOA radiances are fed to the OMI aerosol retrieval algorithms, and its retrieved AI (OMAERUV AI) is compared to the MERRAero calculated AI. Two main sources of discrepancy are discussed: one pertaining the OMI algorithm assumptions of the surface pressure, which are generally different from what the actual surface pressure of an observation is, and the other related to simplifying assumptions in the molecular atmosphere radiative transfer used in the OMI algorithms. Surface pressure assumptions lead to systematic biases in the OMAERUV AI, particularly over the oceans. Simplifications in the molecular radiative transfer lead to biases particularly in regions of topography intermediate to surface pressures of 600hPa and 1013.25hPa. Generally, the errors in the OMI AI due to these considerations are less than 0.2 in magnitude, though larger errors are possible, particularly over land. We recommend that future versions of the OMI algorithms use surface pressures from readily available atmospheric analyses combined with high-spatial resolution topographic maps and include more surface pressure nodal points in their radiative transfer lookup tables.
Document ID
20170004863
Acquisition Source
Goddard Space Flight Center
Document Type
Reprint (Version printed in journal)
External Source(s)
Authors
Colarco, Peter R.
(NASA Goddard Space Flight Center Greenbelt, MD United States)
Gasso, Santiago
(Morgan State Univ. Baltimore, MD, United States)
Ahn, Changwoo
(Science Systems and Applications, Inc. Lanham, MD, United States)
Buchard, Virginie
(Universities Space Research Association Greenbelt, MD, United States)
Da Silva, Arlindo M.
(NASA Goddard Space Flight Center Greenbelt, MD United States)
Torres, Omar
(NASA Goddard Space Flight Center Greenbelt, MD United States)
Date Acquired
June 1, 2017
Publication Date
May 19, 2017
Publication Information
Publication: Atmospheric Measurement Techniques Discussions
Publisher: Atmospheric Measurement Techniques
ISSN: 1867-1381
e-ISSN: 1867-8548
Subject Category
Geophysics
Earth Resources And Remote Sensing
Report/Patent Number
GSFC-E-DAA-TN43009
Funding Number(s)
CONTRACT_GRANT: NNG17HP01C
CONTRACT_GRANT: NNG11HP16A
CONTRACT_GRANT: NNH13ZDA001N-AURA
Distribution Limits
Public
Copyright
Other
Keywords
remote sensing
aerosols
observing system simulation experiment

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