HR: 16:15h
AN: A54A-02    [Abstracts]
TI: Can one satellite data set validate another? Validation of Envisat SCIAMACHY data by comparisons with NOAA-16 SBUV/2 and ERS-2 GOME
AU: * Hilsenrath, E
EM: ernest.hilsenrath@nasa.gov
AF: NASA Goddard Space Flight Center, Code 916, Greenbelt, MD 20771
AU: Bojkov, B R
EM: bojkov@ventus.gsfc.nasa.gov
AF: NASA Goddard Space Flight Center, Code 916, Greenbelt, MD 20771
AU: Labow, G
EM: labow@chapman.gsfc.nasa.gov
AF: NASA Goddard Space Flight Center, Code 916, Greenbelt, MD 20771
AU: Burrows, J P
EM: burrows@florian.physik.uni-bremen.de
AF: Institute for Environmental Physics, University of Bremen, NW1, Bremen, D-28359 Germany
AU: Weber, M
EM: weber@florian.physik.uni-bremen.de
AF: Institute for Environmental Physics, University of Bremen, NW1, Bremen, D-28359 Germany
AU: Bracher, A
AF: Institute for Environmental Physics, University of Bremen, NW1, Bremen, D-28359 Germany
AB: Validation of satellite data remains a high priority for the construction of climate data sets. Traditionally ground based measurements have provided the primary comparison data for validation. For some atmospheric parameters such as ozone, a thoroughly validated satellite data record can be used to validate a new instrument's data product in addition to using ground based data. Comparing validated data with new satellite data has several advantages; availability of much more data, which will improve precision, larger geographical coverage, and the footprints are closer in size, which removes uncertainty due to different observed atmospheric volumes. To demonstrate the applicability, observations from the newly launched SCIAMACHY instrument were compared with the NOAA-16 SBUV/2 and ERS-2 GOME instruments. The SBUV/2 and GOME data had all ready undergone validation by comparing to the total ozone ground network. Overall the SCIAMACHY (near real time) data were found to be low by 3 percent with respect to satellite data and 1percent low with respect to ground station data. There appears to be seasonal and or solar zenith angle dependencies in the comparisons with SBUV/2 where differences increase with higher solar zenith angles. It is known that accuracies in both satellite and ground based total ozone algorithms decrease at high solar zenith angles. Therefore there is a strong need for more accurate ground validation measurements under these conditions.
DE: 0300 ATMOSPHERIC COMPOSITION AND STRUCTURE
DE: 0340 Middle atmosphere--composition and chemistry
DE: 0394 Instruments and techniques
SC: Atmospheric Sciences [A]
MN: 2004 AGU Fall Meeting