HR: 1340h
AN: A43C-1418    [Abstracts]
TI: Dynamics of the Optical Properties of Fine/Coarse Mode Aerosol Mixtures in Diverse Environments
AU: * Eck, T F
EM: teck@ltpmail.gsfc.nasa.gov
AF: NASA/GSFC, Greenbelt Road, Greenbelt, MD 20771, United States
AU: Holben, B N
EM: bholben@pop900.gsfc.nasa.gov
AF: NASA/GSFC, Greenbelt Road, Greenbelt, MD 20771, United States
AU: Sinyuk, A
EM: asiniuk@ltpmailx.gsfc.nasa.gov
AF: NASA/GSFC, Greenbelt Road, Greenbelt, MD 20771, United States
AU: Pinker, R T
EM: pinker@atmos.umd.edu
AF: University of Maryland, Space Sciences Building, College Park, MD 20742,
AU: Goloub, P
EM: Philippe.Goloub@loa.univ-lille1.fr
AF: Université des Sciences et Technologies de Lille, Laboratoire d'Optique Amosphérique - Bāt P5, Villeneuve d'Ascq, 59655, France
AU: Chen, H
EM: chb@mail.iap.ac.cn
AF: Chinese Academy of Sciences, P.O. Box 9804, Beijing, 100029, China
AU: Chatenet, B
EM: chatenet@lisa.univ-paris12.fr
AF: Université Paris, 61 Avenue du Général de Gaulle, Paris, 94010, France
AU: Singh, R P
EM: rpiitkanpur@gmail.com
AF: Indian Institute of Technology, Department of Civil Engineering, Kanpur, 208 016, India
AU: Al Mandoos, A
EM: AMandoos@das.ae
AF: Dept. of Atmospheric Studies, Ministry of Presidential Affairs, Abu Dhabi, 51133, United Arab Emirates
AU: Reid, J S
EM: jeffrey.reid@nrlmry.navy.mil
AF: Naval Research Laboratory, 7 Grace Hopper Ave., Stop 2, Monterey, CA 93943-5502, United States
AU: Smirnov, A
EM: asmirnov@aeronet.gsfc.nasa.gov
AF: NASA/GSFC, Greenbelt Road, Greenbelt, MD 20771, United States
AB: Several regions of the earth exhibit seasonal mixtures of fine and coarse mode aerosol types, which are challenging to characterize from satellite remote sensing. Over land the coarse mode aerosols originate primarily from arid regions, which generate airborne soil dust, and the primary fine mode sources are urban/industrial emissions of gases and particulates and also biomass burning. The recently developed AERONET Version 2 retrieval algorithm produces more accurate retrievals of particle size distribution when non-spherical particles (such as dust) are present and also more accurate spectral single scattering albedo due to improved specification of the earth surface bidirectional reflectance. We show comparison of AERONET Version 1 and 2 retrievals that exhibit differences and suggest significantly improved single scattering albedo in Version 2. AERONET almucantar retrievals from several years are analyzed for the urban sites of Beijing, China and Kanpur, India (in the Ganges floodplain) where seasonal coarse mode dust particles mix with fine mode pollution aerosol, predominately in the spring. Additionally we compare multi-year data from Ilorin, Nigeria where desert dust from the Sahara and Sahel mix with fine mode biomass-burning aerosols. We also analyze data from two sites in the United Arab Emirates where dust mixes with urban/industrial pollution largely from petroleum industry emissions. The data are analyzed as a function of the aerosol optical depth fine mode fraction and also by Angstrom exponent, with comparisons made between sites.
DE: 0305 Aerosols and particles (0345, 4801, 4906)
DE: 0345 Pollution: urban and regional (0305, 0478, 4251)
DE: 0360 Radiation: transmission and scattering
DE: 0394 Instruments and techniques
DE: 3360 Remote sensing
SC: Atmospheric Sciences [A]
MN: 2007 Fall Meeting