HR: 1330h
AN: A12B-0084    [PDF]
TI: Maritime Aerosol Optical Data Collected by the NASA SIMBIOS Project
AU: * Knobelspiesse, K D
EM: kirk.d.knobelspiesse.1@gsfc.nasa.gov
AF: NASA Goddard Space Flight Center, Code 970.2, Greenbelt, MD 20771 United States
AU: * Knobelspiesse, K D
EM: kirk.d.knobelspiesse.1@gsfc.nasa.gov
AF: Science Systems and Applications, Inc., 10210 Greenbelt Rd, Suite 600, Greenbelt, MD 20706 United States
AU: Pietras, C
AF: NASA Goddard Space Flight Center, Code 970.2, Greenbelt, MD 20771 United States
AU: Pietras, C
AF: Science Applications International Corp., 4600 Powder Mill Rd, Suite 400, Greenbelt, MD 20705 United States
AU: Fargion, G S
AF: NASA Goddard Space Flight Center, Code 970.2, Greenbelt, MD 20771 United States
AU: Fargion, G S
AF: Science Applications International Corp., 4600 Powder Mill Rd, Suite 400, Greenbelt, MD 20705 United States
AU: Wang, M
AF: NASA Goddard Space Flight Center, Code 970.2, Greenbelt, MD 20771 United States
AU: Wang, M
AF: University of Maryland Baltimore County, 1000 Hilltop Circle, Baltimore, MD 21250 United States
AU: Frouin, R
AF: Scripps Institution of Oceanography, University of California, San Diego, 9500 Gilman Dr., La Jolla, CA 92093 United States
AU: Miller, M A
AF: Brookhaven National Laboratory, 30 Bell Ave., Upton, NY 11973 United States
AB: Since 1997, the NASA SIMBIOS Project and its Principal Investigators have collected, processed and archived optical aerosol data from handheld sun photometers in maritime locations for the purpose of validating retrievals from SeaWiFS and other Ocean Color satellites. The calibration, processing, quality control and archival methodology for these data are described here, along with their (spatially and temporally non-uniform) deployment statistics. Data processing has been standardized for all instruments by using identical calibration methods, ancillary data and processing software. Statistical analysis reveals a dataset influenced by its temporal and geographic distribution, while multi-modal histograms for Aerosol Optical Thickness (AOT) and \AA ngstr\"{o}m Exponent reveal varied aerosol populations. A K-means unsupervised classification technique was used to separate these populations. Properties for each class are presented, and they compare favorably with maritime aerosols measured by AERONET Cimel sun photometers in island sites. Results are also compared with SeaWiFS aerosol models, and the implications of this comparison are explored.
DE: 0305 Aerosols and particles (0345, 4801)
DE: 4801 Aerosols (0305)
SC: Atmospheric Sciences [A]
MN: 2003 Fall Meeting