2011
DOI: 10.3402/tellusb.v63i4.16358
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Optical properties of aerosol mixtures derived from sun-sky radiometry during SAMUM-2

Abstract: The colocated ground-based and airborne instruments allow the study of desert dust optical and microphysical properties in a closure experiment. The Meteorological Institute of the University of Munich deployed one sun-sky photometer and two tropospheric lidar systems. A travelling AERONET-Cimel sun-sky radiometer was also deployed. During the measurement period the aerosol scenario over Cape Verde mostly consisted of a dust layer below 2 km and a smoke-dust layer above 2-4 km a.s.l. The Saharan dust arrived a… Show more

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Cited by 9 publications
(14 citation statements)
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“…Differentiating between carbonaceous (fine particles) and dust (coarse particles), aerosols in ocean satellite retrieval algorithms that use visible and near IR observations, is generally done in terms of the well-known Ångström's wavelength exponent (AE) (Angstrom, 1929), whose magnitude is inversely related to the predominant particle size. Typical AE values vary from nearly zero for high concentrations of desert dust aerosols to values of 2.0 or greater associated with large AOD finesize carbonaceous aerosols (Eck et al, 1999;Toledano et al, 2011). Satellite-derived AE for aerosol type differentiation over land is unreliable due to uncertainties associated with surface reflectance characterization (Levy et al, 2010).…”
Section: O Torres Et Al: Improvements To the Omi Near-uv Aerosol Almentioning
confidence: 99%
“…Differentiating between carbonaceous (fine particles) and dust (coarse particles), aerosols in ocean satellite retrieval algorithms that use visible and near IR observations, is generally done in terms of the well-known Ångström's wavelength exponent (AE) (Angstrom, 1929), whose magnitude is inversely related to the predominant particle size. Typical AE values vary from nearly zero for high concentrations of desert dust aerosols to values of 2.0 or greater associated with large AOD finesize carbonaceous aerosols (Eck et al, 1999;Toledano et al, 2011). Satellite-derived AE for aerosol type differentiation over land is unreliable due to uncertainties associated with surface reflectance characterization (Levy et al, 2010).…”
Section: O Torres Et Al: Improvements To the Omi Near-uv Aerosol Almentioning
confidence: 99%
“…Often mixtures of mostly dust and maritime particles below 1500 m and lofted layers of dust and smoke up to about 5000 m height were found (e.g. Knippertz et al, 2011;Tesche et al, 2011;Toledano et al, 2011). Our derived aerosol components could not be more accurately determined because of the lack of on-site measurements in our observation periods.…”
Section: Classification and Characterisation Of Observed Dust Stormsmentioning
confidence: 55%
“…The deviations of the linear fit to the new third-order polynomial fit were only in the order of few percent in the wavelength range 440Á675 nm (see Fig. 6b in Toledano et al (2011) Outliers in the MODIS data set were identified by strong deviations from the regression line. The mean value of area-averaged dust component of AOD BAOD dust !…”
Section: Aerosol Optical Depthmentioning
confidence: 99%
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“…Direct sun measurements are generally performed every 15 min (more frequently at sunrise and sunset), and sky radiances are measured every hour [32]. The instruments measure direct spectral solar radiation in eight channels of 340, 380, 440, 500, 675, 870, 940, and 1020 nm.…”
Section: Ground-based Measurementsmentioning
confidence: 99%