Record Search Query: [Science_Parameters: Science_Category='EARTH SCIENCE', Science_Topic='ATMOSPHERE', Science_Term='ATMOSPHERIC RADIATION']
OMI/Aura Near UV Aerosol Optical Depth and Single Scattering Albedo Daily L3 Global 1x1 deg Lat/Lon Grid V003 (OMAERUVd) at GES DISC
Entry ID: GES_DISC_OMAERUVd_V003
Abstract: The OMI-Aura level-3 daily global gridded (1x1 deg) near-UV Aerosol data product OMAERUVd based on the enhanced algorithm is available from the NASA Goddard Earth Sciences Data and Information Services Center (GES DISC), http://disc.gsfc.nasa.gov/Aura/OMI/omaeruvd_v003.shtml
This Level-3 daily global gridded product OMAERUVd is produced from ... the pixel level OMI Level-2 Aerosol data product OMAERUV. The OMAERUV data product is based on the enhanced TOMS version-8 algorithm that essentially uses the ultraviolet radiance data. OMI provides two aerosol products OMAERUV and OMAERO at the pixel resolution (13 x 24 km at nadir) that are based on two different algorithms. The OMAERUVd data product contains extinction and absorption optical depths at three wavelenghts (355 nm, 388 nm and 500 nm).
OMAERUVd data product is a Level-3 gridded product where all data pixels that fall in a grid box are quality filtered and then averaged. The GES DISC developed interactive tool Giovanni (http://giovanni.gsfc.nasa.gov/ ) provides web based capabilities to browse and explore these data.
OMAERUVd files are stored in EOS Hierarchical Data Format (HDF-EOS5). Each file contains daily data from approximately 15 orbits. The maximum file size for the OMTO3G data product is about 0.2 Mbytes.
A list of tools for browsing and extracting data from these files can be found from the site http://daac.gsfc.nasa.gov/Aura/tools.shtml
Quality This is the new public release (fall 2011) of OMAERUVG aerosol product in collection 003. Major updates have been made in the retrieval algorithms. For details, please see the README document available from the data product site:
Use Constraints This Data set (third public release in collection 3) is better than the earlier released products but it is not fully validated yet. Before using it in any trend analysis please contact algorithm team lead Dr. Omar Torres ( firstname.lastname@example.org ) for the current known problems and updates.
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