HR: 0800h
AN: A11C-0068    [Abstracts]
TI: Validation of MODIS Fine Mode Retrievals Over Ocean
AU: * Kleidman, R
EM: kleidman@ltpmail.gsfc.nasa.gov
AF: Science Systems and Applications Inc, NASA/GSFC, Greenbelt Road, Greenbelt, MD 20771 United States
AU: O'Neill, N
EM: Norman.T.ONeill@USherbrooke.ca
AF: CARTEL, University of Sherbrooke, CARTEL, University of Sherbrooke, Sherbrooke, QB J1K 2R1 Canada
AU: Remer, L
EM: remer@climatel.gsfc.nasa.gov
AF: Laboratory for Atmospheres, NASA/GSFC, Greenbelt Road, Greenbelt, MD 20771 United States
AU: Kaufman, Y J
EM: kaufman@climate.gsfc.nasa.gov
AF: Laboratory for Atmospheres, NASA/GSFC, Greenbelt Road, Greenbelt, MD 20771 United States
AU: Eck, T
EM: teck@ltpmail.gsfc.nasa.gov
AF: Goddard Earth Sciences and Technology Center, University of Maryland, University of Maryland, Baltimore, MD 20771 United States
AU: Holben, B
EM: bholben@pop900.gsfc.nasa.gov
AF: Laboratory for Terrestrial Physics, NASA/GSFC, Greenbelt Road, Greenbelt, MD 20771 United States
AB: The MODIS (MODerate Resolution Imaging Spectroradiometer) algorithm can accurately partition aerosol into fine and coarse modes for aerosol optical depths greater than 0.1. The algorithm is validated against both AERONET sky and sun measurements using a co-located data set encompassing four years of data from 30 sites. MODIS slightly overestimates fine fraction in dust dominated regimes and may underestimate in pollution and smoke dominated conditions for individual measurements. The accuracy of monthly mean retrievals improves significantly showing very little offset and almost completely eliminating the trend seen in the individual measurements. These results show that MODIS is an excellent tool for determining aerosol types and sources especially for climate studies.
DE: 1610 Atmosphere (0315, 0325)
DE: 1640 Remote sensing
SC: Atmospheric Sciences [A]
MN: 2004 AGU Fall Meeting