HR: 11:50h
AN: A12A-07    [Abstracts]
TI: Aerosol properties from OMI using the multi-wavelength algorithm in combination with CALIPSO lidar data
AU: Veihelmann, B
EM: veihelma@knmi.nl
AF: Royal Netherlands Meteorological Institute (KNMI), Wilhelminalaan 10, De Bilt, 3732 GK, Netherlands
AU: Veefkind, P
EM: veefkind@knmi.nl
AF: Royal Netherlands Meteorological Institute (KNMI), Wilhelminalaan 10, De Bilt, 3732 GK, Netherlands
AU: * Braak, R
EM: braak@knmi.nl
AF: Royal Netherlands Meteorological Institute (KNMI), Wilhelminalaan 10, De Bilt, 3732 GK, Netherlands
AU: Levelt, P
EM: levelt@knmi.nl
AF: Royal Netherlands Meteorological Institute (KNMI), Wilhelminalaan 10, De Bilt, 3732 GK, Netherlands
AU: De Haan, J
EM: haandej@knmi.nl
AF: Royal Netherlands Meteorological Institute (KNMI), Wilhelminalaan 10, De Bilt, 3732 GK, Netherlands
AB: The Ozone Monitoring Instrument (OMI) is an imaging UV-VIS solar backscatter spectrometer. It is a Dutch- Finnish instrument onboard the NASA satellite EOS-Aura which has been launched in July 2004. The OMI mission has yielded more than 3 years of science data including global data sets of various atmospheric parameters with high spatial resolution on a daily basis. The multi-wavelength algorithm is used to retrieve aerosol parameters from OMI spectra in 14 wavelength bands between 342.5 nm and 483.5 nm. The space borne lidar CALIOP on the CALIPSO platform provides the height of aerosol layers. In this contribution we present mineral dust aerosol parameters retrieved using the multi- wavelength retrieval algorithm in combination with CALIPSO height data. The multi-wavelength algorithm is capable to distinguish between absorbing aerosol types, such as desert dust and biomass burning, and weakly absorbing aerosols like sea-salt and sulfates. We show the impact of using additional height information on the retrieved absorption properties.
DE: 0300 ATMOSPHERIC COMPOSITION AND STRUCTURE
DE: 0305 Aerosols and particles (0345, 4801, 4906)
DE: 0365 Troposphere: composition and chemistry
DE: 0480 Remote sensing
SC: Atmospheric Sciences [A]
MN: 2007 Fall Meeting