The SMART‐s Trace Gas and Aerosol Inversions: I. Algorithm Theoretical Basis for Column Property Retrievals

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dc.contributor.authorJeong, Ukkyo
dc.contributor.authorTsay, Si‐Chee
dc.contributor.authorGiles, David M.
dc.contributor.authorHolben, Brent N.
dc.contributor.authorSwap, Robert J.
dc.contributor.authorAbuhassan, Nader
dc.contributor.authorHerman, Jay
dc.date.accessioned2022-02-28T14:33:19Z
dc.date.available2022-02-28T14:33:19Z
dc.date.issued2020-03-12
dc.description.abstractThe SMART-s (Spectral Measurements for Atmospheric Radiative Transfer—spectroradiometer) acquires Sun/sky observations for retrieving optimal information on trace gases and aerosols with minimal assumptions. Overall, the algorithm of SMART-s incorporates a series of retrievals, from fundamental quantities (i.e., column abundance of trace gases and aerosol loading) to higher-order geophysical parameters (e.g., aerosol physicochemical properties and vertical profiles), utilizing Sun/sky spectral radiance measurements. This paper describes the theoretical basis for column retrievals of trace gases and aerosols. Associated profile retrievals will be presented in follow-up papers. The current algorithm retrieves the fine/coarse mode of the particle size distribution and spectral complex index of refraction and, thereby, the spectral aerosol single-scattering albedo ω0. SMART-s retrieval is unique particularly in its high spectral resolution of the complex index of refraction and ω0 from near-ultraviolet to near-infrared wavelengths, which is pivotal information for atmospheric chemistry, climate and other inversions. We theoretically assessed information content and retrieval accuracy of the algorithm and compared different type of measurements including the Aerosol Robotic Network (AERONET) and standard Pandora. For the same levels of radiometric accuracy, SMART-s measurements provide the most informative aerosol retrievals based on theoretical error analyses. Higher spectral resolution measurements are particularly beneficial for particle size distribution and fine-mode refractive index retrievals. We applied this algorithm to the AERONET Sun/sky measurements at Kanpur, India, in 2016 to assess algorithm consistency. Even with different assumptions and numerical methods for the inversion, SMART-s retrieved aerosol parameters agreed well with the AERONET operational products (e.g., absolute mean bias errors less than 0.01 for ω₀).en_US
dc.description.sponsorshipThis research was under the project of Understanding Changes in High Mountain Asia, as part of NASA Cryosphere Program. Authors of Jeong/Tsay gratefully acknowledge the continuous support of NASA Radiation Sciences Program, managed by Hal B. Maring, on the research development of SMART-s, deployments of the SMARTLabs, and the execution of this study. NASA Earth Observing System and RSP provide facility supports of AERONET. We also acknowledge Barry L. Lefer, Program Manager of the NASA Tropospheric Composition Program, and his support of the NASA Pandora Project (https://pandora.gsfc.nasa.gov) located at NASA Goddard Space Flight Center. The SMART-s data are available at https://smartlabs.gsfc.nasa.gov, and the AERONET data are available at https://aeronet.gsfc.nasa.gov website.en_US
dc.description.urihttps://agupubs.onlinelibrary.wiley.com/doi/abs/10.1029/2019JD032088en_US
dc.format.extent27 pagesen_US
dc.genrejournal articlesen_US
dc.identifierdoi:10.13016/m2goau-9g2n
dc.identifier.citationJeong, U., Tsay, S.‐C., Giles, D. M., Holben, B. N., Swap, R. J., Abuhassan, N., & Herman, J. R. (2020). The SMART‐s trace gas and aerosol inversions: I. Algorithm theoretical basis for column property retrievals. Journal of Geophysical Research: Atmospheres, 125. https://doi.org/ 10.1029/2019JD032088en_US
dc.identifier.urihttps://doi.org/10.1029/2019JD032088
dc.identifier.urihttp://hdl.handle.net/11603/24327
dc.language.isoen_USen_US
dc.publisherAGUen_US
dc.relation.isAvailableAtThe University of Maryland, Baltimore County (UMBC)
dc.relation.ispartofUMBC Joint Center for Earth Systems Technology
dc.relation.ispartofUMBC Faculty Collection
dc.rightsThis work was written as part of one of the author's official duties as an Employee of the United States Government and is therefore a work of the United States Government. In accordance with 17 U.S.C.105, no copyright protection is available for such works under U.S. Law.en_US
dc.rightsPublic Domain Mark 1.0*
dc.rights.urihttp://creativecommons.org/publicdomain/mark/1.0/*
dc.titleThe SMART‐s Trace Gas and Aerosol Inversions: I. Algorithm Theoretical Basis for Column Property Retrievalsen_US
dc.typeTexten_US
dcterms.creatorhttps://orcid.org/0000-0002-9146-1632en_US

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