Paper
17 January 2002 Version 2 TOMS UV algorithm: problems and enhancements
Nickolay A. Krotkov, Jay R. Herman, Pawan K. Bhartia, Colin J. Seftor, Antti Arola, Jussi Kaurola, Lasse Koskinen, S. Kalliskota, Petteri Taalas, Igor V. Geogdzhaev
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Abstract
We evaluate the effects of possible enhancements of the current (version 1) TOMS surface UV irradiance algorithm. The major enhancements include more detailed treatment of tropospheric aerosols, effects of diurnal variation of cloudiness and improved treatment of snow/ice. The emphasis is on the comparison between the results of the version 1 TOMS UV algorithm and each of the changes proposed. TOMS UV algorithm does not discriminate between nonabsorbing aerosols and clouds. Absorbing aerosols are corrected by using the TOMS aerosol index data. The treatment of aerosol attenuation might have been improved by using newly derived TOMS products: optical depths and the single-scattering albedo for dust, smoke, and sulfate aerosols. We evaluate different approaches for improved treatment of pixel average cloud attenuation, with and without snow/ice on the ground. In addition to treating clouds based only on the measurements at the local time of the TOMS observations, the results from other satellites and weather assimilation models can be used to estimate attenuation of the UV irradiance throughout the day. The improved (version 2) algorithm will be applied to reprocess the existing TOMS UV data record (since 1978) and to the future satellite sensors (e.g., Quik/TOMS, GOME, OMI on EOS/Aura and Triana/EPIC).
© (2002) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Nickolay A. Krotkov, Jay R. Herman, Pawan K. Bhartia, Colin J. Seftor, Antti Arola, Jussi Kaurola, Lasse Koskinen, S. Kalliskota, Petteri Taalas, and Igor V. Geogdzhaev "Version 2 TOMS UV algorithm: problems and enhancements", Proc. SPIE 4482, Ultraviolet Ground- and Space-based Measurements, Models, and Effects, (17 January 2002); https://doi.org/10.1117/12.452956
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Cited by 15 scholarly publications.
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KEYWORDS
Clouds

Ultraviolet radiation

Aerosols

Satellites

Reflectivity

Data modeling

Atmospheric modeling

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