HR: 16:30h
AN: A12E-03    [PDF]
TI: Stratospheric Ozone Trends and the Ozone Monitoring Instrument (OMI)
AU: Veefkind, J P
EM: veefkind@knmi.nl
AF: KNMI, PO Box 201, De Bilt, NL-3730 AE Netherlands
AU: * Bhartia, P K
EM: pawan.k.bhartia@nasa.gov
AF: NASA Goddard Space Flight Center, Code 916, Bldg 33, Greenbelt, MD 20771
AU: Gleason, J
EM: gleason@redwind.gsfc.nasa.gov
AF: NASA Goddard Space Flight Center, Code 916, Bldg 33, Greenbelt, MD 20771
AU: Wellemeyer, C
EM: charlie_wellemeyer@sesda.com
AF: Science Applications & Systems Inc., 10210 Greenbelt Rd, Suite 400, Lanham, MD 20706
AU: Qin, W
EM: qin@sesda.com
AF: Science Applications & Systems Inc., 10210 Greenbelt Rd, Suite 400, Lanham, MD 20706
AU: Voors, R
EM: voors@knmi.nl
AF: KNMI, PO Box 201, De Bilt, NL-3730 AE Netherlands
AU: Levelt, P
EM: levelt@knmi.nl
AF: KNMI, PO Box 201, De Bilt, NL-3730 AE Netherlands
AB: The Ozone Monitoring Instrument (OMI) is the Dutch-Finnish contribution to NASA's EOS-Aura satellite scheduled for launch in January 2004. OMI is an imaging spectrometer that will measure the back-scattered Solar radiance in the wavelength range of 270 to 500 nm. The instrument provides near global coverage in one day with a spatial resolution of 13x24 km$^2$. OMI is a new instrument, with a heritage from TOMS, SBUV, GOME, GOMOS and SCIAMACHY. OMI's unique capabilities for measuring important trace gases and aerosols with a small footprint and daily global coverage, in conjunction with the other Aura instruments, will make a major contribution to our understanding of stratospheric and tropospheric chemistry and climate change. OMI will provide data continuity with the 23-year ozone record of TOMS. There are three ozone products planned for OMI: total column ozone, ozone profile and tropospheric column ozone. We are developing two different algorithms for total column ozone: one similar to the algorithm currently being used to process the TOMS data, and the other an improved version of the differential optical absorption spectroscopy (DOAS) method, which has been applied to GOME and SCIAMACHY data. The main reasons for starting with two algorithms for total ozone have to do with heritage and past experience; our long-term goal is to combine the two to develop a more accurate and reliable total ozone product for OMI. In this presentation we will focus on the expected contribution of OMI data to the monitoring of the stratospheric ozone layer. Key algorithm issues will be discussed as well as results of applying the OMI algorithms to the GOME data.
DE: 0300 ATMOSPHERIC COMPOSITION AND STRUCTURE
SC: Atmospheric Sciences [A]
MN: 2003 Fall Meeting