Atmospheric Chemistry and Physics Discussions
www.atmos-chem-phys-discuss.net
1680-7367
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8
3
2008
10.5194/acpd-8-9855-2008
http://www.atmos-chem-phys-discuss.net/8/9855/2008/
http://www.atmos-chem-phys-discuss.net/8/9855/2008/acpd-8-9855-2008.html
http://www.atmos-chem-phys-discuss.net/8/9855/2008/acpd-8-9855-2008.pdf
9855
9881
2008-05-28
Cloud and surface classification using SCIAMACHY polarization measurement devices
W. A. Lotz
lotz@iup.physik.uni-bremen.de
M. Vountas
T. Dinter
J. P. Burrows
Institute of Environmental Physics, University of Bremen, Otto-Hahn-Allee 1, 28359 Bremen, Germany
A simple scheme has been developed to discriminate surface, sun glint
and cloud properties in satellite based spectrometer data utilizing
visible and near infrared information. It has been designed for the
use with data measured by SCIAMACHY's (<b>SC</b>anning <b>I</b>maging <b> A</b>bsorption Spectro<b>M</b>eter
for <b>A</b>tmospheric <b>CH</b>artograph<b>Y</b>) Polarization Measurement Devices but the applicability is not strictly
limited to this instrument. The scheme is governed by a set of
constraints and thresholds developed by using satellite imagery and
meteorological data. Classification targets are ice, water and
generic clouds, sun glint and surface parameters, such as water,
snow/ice, desert and vegetation. The validation is done using MERIS
(<b>ME</b>dium <b>R</b>esolution <b>I</b>maging <b>S</b>pectrometer) and meteorological data from METAR
(<b>MÉT</b>éorologique <b>A</b>viation <b>R</b>égulière – a network for the provision of
meteorological data for aviation). Qualitative and quantitative
validation using MERIS satellite imagery shows good agreement. The
comparison with METAR data exhibits very good agreement.
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