Nighttime Aerosol Optical Depth Measurements Using a Ground-based Lunar Photometer

dc.contributor.authorBerkoff, Tim
dc.contributor.authorOmar, Ali
dc.contributor.authorHaggard, Charles
dc.contributor.authorPippin, Margaret
dc.contributor.authorTasaddaq, Aasam
dc.contributor.authorStone, Tom
dc.contributor.authorRodriguez, Jon
dc.contributor.authorSlutsker, Ilya
dc.contributor.authorEck, Thomas
dc.contributor.authorHolben, Brent
dc.contributor.authorWelton, Judd
dc.contributor.authorSilva, Arlindo da
dc.contributor.authorColarco, Pete
dc.contributor.authorTrepte, Charles
dc.contributor.authorWinker, David
dc.date.accessioned2024-02-15T23:16:35Z
dc.date.available2024-02-15T23:16:35Z
dc.date.issued2015-06-26
dc.description.abstractIn recent years it was proposed to combine AERONET network photometer capabilities with a high precision lunar model used for satellite calibration to retrieve columnar nighttime AODs. The USGS lunar model can continuously provide pre-atmosphere high precision lunar irradiance determinations for multiple wavelengths at ground sensor locations. When combined with measured irradiances from a ground-based AERONET photometer, atmospheric column transmissions can determined yielding nighttime column aerosol AOD and Angstrom coefficients. Additional demonstrations have utilized this approach to further develop calibration methods and to obtain data in polar regions where extended periods of darkness occur. This new capability enables more complete studies of the diurnal behavior of aerosols, and feedback for models and satellite retrievals for the nighttime behavior of aerosols. It is anticipated that the nighttime capability of these sensors will be useful for comparisons with satellite lidars such as CALIOP and CATS in additional to ground-based lidars in MPLNET at night, when the signal-to-noise ratio is higher than daytime and more precise AOD comparisons can be made.
dc.description.sponsorshipThe authors gratefully acknowledge Marius Canini (Cimel Electronique) and Mikhail Sorokin (Sigma Space) for providing technical assistance for this instrument and Travis Knepp (SSAI) and Bobby Martin (NASA LaRC) for providing assistance in setting up the lunar photometer at NASA LaRC. This work was supported in part by MPLNET, AERONET, USGS ROLO, and UMBC Measurement of Atmospheric Pollution (UMAP) projects, funded by the NASA EOS and Radiation Sciences programs. Free and open source Python programming language (http;//www.python.org/) & Anaconda Python distribution (https://store.continuum.io/cshop/anaconda/) were used in this study for photometer operation, data processing and analysis.
dc.description.urihttps://ntrs.nasa.gov/citations/20160007458
dc.format.extent1 page
dc.genreposters
dc.identifierdoi:10.13016/m262di-z4bj
dc.identifier.urihttp://hdl.handle.net/11603/31648
dc.language.isoen_US
dc.relation.isAvailableAtThe University of Maryland, Baltimore County (UMBC)
dc.relation.ispartofUMBC GESTAR II Collection
dc.relation.ispartofUMBC Student Collection
dc.relation.ispartofUMBC Mechanical Engineering Department
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.
dc.rightsCC0 1.0 Universalen
dc.rights.urihttp://creativecommons.org/publicdomain/zero/1.0/
dc.titleNighttime Aerosol Optical Depth Measurements Using a Ground-based Lunar Photometer
dc.typeText
dcterms.creatorhttps://orcid.org/0000-0001-9801-1610

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