Paper
14 October 2004 Assessment of TOMS UV bias due to absorbing aerosols
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Abstract
TOMS UV algorithm is capable of taking into account the scattering aerosols via its scene reflectivity. It also accounts for absorbing aerosols in free troposphere (dust and smoke plumes) via aerosol index correction. On the other hand, the effects of aerosol absorption in the boundary layer are not properly taken into account, because they do not appear as absorbing aerosols in the TOMS AI data (positive AI). This additional error has been claimed to be the reason for the observed positive bias between TOMS derived UV and ground-based measurements. We compared TOMS overpass irradiances against the Brewer measurements in NASA/GSFC site in USA and Thessaloniki, Greece with the main objective of evaluating the effect of absorbing aerosols with the measurements of aerosol optical properties. We found that the bias between TOMS UV and ground-based data depends on the aerosol absorption. In other words, the bias was increasing with the increasing aerosol absorption, τabs. A simple correction to account for this effect is proposed, assuming that the climatology of τabs is known.
© (2004) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Antti Arola, Stelios Kazadzis, Nickolay A. Krotkov, Alkis Bais, Jay R. Herman, and Kaisa Lakkala "Assessment of TOMS UV bias due to absorbing aerosols", Proc. SPIE 5545, Ultraviolet Ground- and Space-based Measurements, Models, and Effects IV, (14 October 2004); https://doi.org/10.1117/12.558691
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Cited by 3 scholarly publications.
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KEYWORDS
Aerosols

Ultraviolet radiation

Absorption

Artificial intelligence

Clouds

Satellites

Calibration

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