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MODIS 3km Aerosol Product: Algorithm and Global PerspectiveAfter more than a decade of producing a nominal 10 km aerosol product based on the dark target method, the MODIS aerosol team will be releasing a nominal 3 km product as part of their Collection 6 release. The new product differs from the original 10 km product only in the manner in which reflectance pixels are ingested, organized and selected by the aerosol algorithm. Overall, the 3 km product closely mirrors the 10 km product. However, the finer resolution product is able to retrieve over ocean closer to islands and coastlines, and is better able to resolve fine aerosol features such as smoke plumes over both ocean and land. In some situations, it provides retrievals over entire regions that the 10 km product barely samples. In situations traditionally difficult for the dark target algorithm, such as over bright or urban surfaces the 3 km product introduces isolated spikes of artificially high aerosol optical depth (AOD) that the 10 km algorithm avoids. Over land, globally, the 3 km product appears to be 0.01 to 0.02 higher than the 10 km product, while over ocean, the 3 km algorithm is retrieving a proportionally greater number of very low aerosol loading situations. Based on collocations with ground-based observations for only six months, expected errors associated with the 3 km land product are determined to be greater than for the 10 km product: 0.05 0.25 AOD. Over ocean, the suggestion is for expected errors to be the same as the 10 km product: 0.03 0.05 AOD. The advantage of the product is on the local scale, which will require continued evaluation not addressed here. Nevertheless, the new 3 km product is expected to provide important information complementary to existing satellite-derived products and become an important tool for the aerosol community.
Document ID
20130013403
Acquisition Source
Goddard Space Flight Center
Document Type
Reprint (Version printed in journal)
External Source(s)
Authors
Remer, L. A.
Mattoo, S.
(Science Systems and Applications, Inc. Lanham, MD, United States)
Levy, R. C.
(Science Systems and Applications, Inc. Lanham, MD, United States)
Munchak, L.
(Science Systems and Applications, Inc. Lanham, MD, United States)
Date Acquired
August 27, 2013
Publication Date
January 1, 2013
Publication Information
Publication: Atmospheric Measurement Techniques Discussions (AMTD)
Volume: 6
Subject Category
Earth Resources And Remote Sensing
Report/Patent Number
GSFC-E-DAA-TN8012
Funding Number(s)
CONTRACT_GRANT: NNG08HZ16C
Distribution Limits
Public
Copyright
Public Use Permitted.
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