JPSS VIIRS level 3 uncollated sea surface temperature product at NOAA
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2017
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Details
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Journal Title:Journal of Applied Remote Sensing
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Personal Author:
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NOAA Program & Office:NESDIS (National Environmental Satellite, Data, and Information Service) ; CIRA (Cooperative Institute for Research in the Atmosphere) ; CREST (Center for Earth System Sciences and Remote Sensing Technologies and Tech Center at City College of CUNY) ; STAR (Center for Satellite Applications and Research)
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Description:Following the launch of the Suomi National Polar-orbiting Partnership satellite in October 2011 with the Visible Infrared Imager Radiometer Suite (VIIRS) sensor onboard, National Oceanic and Atmospheric Administration (NOAA) started generating a global level 2 preprocessed (L2P) sea surface temperature (SST) product. The NOAA Advanced Clear-Sky Processor for Ocean (ACSPO) L2P data are organized into 144 10-min granules per day, with a total volume of ∼27 GB. The L2P product has been successfully assimilated in several level 4 (L4) analyses. At the same time, some other users requested a gridded level 3 (L3) product with a reduced data volume. An L3U “uncollated” product (in which multiple passes over the same grid are independently saved) was produced by mapping the L2P product into equal 0.02° grids. Similar to the L2P, the L3U data are also reported in 10-min granules, but with a daily volume <1 GB. Currently, the NOAA VIIRS L3U SST product is operationally used or tested in several major international numerical weather prediction centers. The L3U shows comparable performance with L2P, suggesting that both products can be used interchangeably as input into L4 analyses. The original L2P pixel-level swath data continue to be produced and available to interested users from NOAA (NCEI) and JPL (Physical Oceanography) data archives.
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Source:Journal of Applied Remote Sensing, 11(3), 032405
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DOI:
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ISSN:1931-3195
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Rights Information:Other
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Compliance:Library
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Main Document Checksum:urn:sha-512:e0ec476bff44f89c1039b39808fd770abc2c4b664f420a99807b928bed9170eacb3efdf9e49c38402e4785377d64ece929a57a93aae59a9af30ba3ec0bbbd8f9
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