2003
DOI: 10.1029/2002jd002412
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Problems in separating aerosol and cloud in the Stratospheric Aerosol and Gas Experiment (SAGE) II data set under conditions of lofted dust: Application to the Asian deserts

Abstract: Stratospheric Aerosol and Gas Experiment II aerosol data obtained at two wavelengths, 525 nm and 1020 nm, have been used for some time to identify the presence of cloud along the optical path from the Sun to the satellite instrument. Examination of data obtained over desert regions in the Northern Hemisphere, particularly the Taklimakan Desert, indicates that this separation method does not always operate correctly. In regions where there is expected to be a large amount of lofted dust, unexpectedly low values… Show more

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Cited by 13 publications
(10 citation statements)
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“…Conversely, during low aerosol loading periods it is challenging to extricate the aerosol signature at infrared wavelengths because the signal is dominated by absorption of gaseous species [ Thomason , ]. Identifying the presence of clouds in all these observations is often difficult or ambiguous [ Kent et al , ].…”
Section: Measurements Of Stratospheric Aerosolmentioning
confidence: 99%
“…Conversely, during low aerosol loading periods it is challenging to extricate the aerosol signature at infrared wavelengths because the signal is dominated by absorption of gaseous species [ Thomason , ]. Identifying the presence of clouds in all these observations is often difficult or ambiguous [ Kent et al , ].…”
Section: Measurements Of Stratospheric Aerosolmentioning
confidence: 99%
“…A global climatology of stratospheric aerosol radiative properties has been compiled from SAGE II multiwavelength extinction measurements [ Thomason et al , 1997]. Although SAGE II was initially designed for detecting stratospheric aerosols, its 1.02 μ m aerosol extinction coefficient profiles have actually been retrieved reaching down to the boundary layer [ Wang et al , 1999; Thomason and Taha , 2003; Kent et al , 2003]. Sufficient tropospheric data have been accumulated under cloudless conditions after long observation period.…”
Section: Model and Datamentioning
confidence: 99%
“…We also exclude any observations in which we infer the presence of non-opaque clouds. We identify these clouds using the method described by Thomason and Vernier (2013) (a revision of an algorithm 25 developed by Kent et al (2003)) and exclude those points from the analysis. We infer cloud presence almost exclusively in the troposphere; however, we occasionally infer the presence of clouds in the lower tropical stratosphere.…”
Section: The Sage II Era Data Set (October 1984 To August 2005)mentioning
confidence: 99%