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Initial Verification of GEOS-4 Aerosols Using CALIPSO and MODIS: Scene ClassificationA-train sensors such as MODIS and MISR provide column aerosol properties, and in the process a means of estimating aerosol type (e.g. smoke vs. dust). Correct classification of aerosol type is important because retrievals are often dependent upon selection of the right aerosol model. In addition, aerosol scene classification helps place the retrieved products in context for comparisons and analysis with aerosol transport models. The recent addition of CALIPSO to the A-train now provides a means of classifying aerosol distribution with altitude. CALIPSO level 1 products include profiles of attenuated backscatter at 532 and 1064 nm, and depolarization at 532 nm. Backscatter intensity, wavelength ratio, and depolarization provide information on the vertical profile of aerosol concentration, size, and shape. Thus similar estimates of aerosol type using MODIS or MISR are possible with CALIPSO, and the combination of data from all sensors provides a means of 3D aerosol scene classification. The NASA Goddard Earth Observing System general circulation model and data assimilation system (GEOS-4) provides global 3D aerosol mass for sulfate, sea salt, dust, and black and organic carbon. A GEOS-4 aerosol scene classification algorithm has been developed to provide estimates of aerosol mixtures along the flight track for NASA's Geoscience Laser Altimeter System (GLAS) satellite lidar. GLAS launched in 2003 and did not have the benefit of depolarization measurements or other sensors from the A-train. Aerosol typing from GLAS data alone was not possible, and the GEOS-4 aerosol classifier has been used to identify aerosol type and improve the retrieval of GLAS products. Here we compare 3D aerosol scene classification using CALIPSO and MODIS with the GEOS-4 aerosol classifier. Dust, smoke, and pollution examples will be discussed in the context of providing an initial verification of the 3D GEOS-4 aerosol products. Prior model verification has only been attempted with surface mass comparisons and column optical depth from AERONET and MODIS.
Document ID
20070034814
Acquisition Source
Goddard Space Flight Center
Document Type
Conference Paper
Authors
Welton, Ellsworth J.
(NASA Goddard Space Flight Center Greenbelt, MD, United States)
Colarco, Peter R.
(NASA Goddard Space Flight Center Greenbelt, MD, United States)
Hlavka, Dennis
(Science Systems and Applications, Inc. Greenbelt, MD, United States)
Levy, Robert C.
(Science Systems and Applications, Inc. Greenbelt, MD, United States)
Vaughan, Mark A.
(Science Systems and Applications, Inc. Hampton, VA, United States)
daSilva, Arlindo
(NASA Goddard Space Flight Center Greenbelt, MD, United States)
Date Acquired
August 24, 2013
Publication Date
October 22, 2007
Subject Category
Earth Resources And Remote Sensing
Meeting Information
Meeting: A-train Symposium in Lille
Location: Lille
Country: France
Start Date: October 22, 2007
End Date: October 25, 2007
Distribution Limits
Public
Copyright
Work of the US Gov. Public Use Permitted.

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