JPSS VIIRS level 3 uncollated sea surface temperature product at NOAA

Alexander Ignatov; Irina Gladkova; Yanni Ding; Fazlul Shahriar; Yury Kihai; Xinjia Zhou

doi:10.1117/1.JRS.11.032405

16 May 2017 JPSS VIIRS level 3 uncollated sea surface temperature product at NOAA

Alexander Ignatov, Irina Gladkova, Yanni Ding, Fazlul Shahriar, Yury Kihai, Xinjia Zhou

Author Affiliations +

Journal of Applied Remote Sensing, Vol. 11, Issue 3, 032405 (May 2017). https://doi.org/10.1117/1.JRS.11.032405

Abstract

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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Alexander Ignatov, Irina Gladkova, Yanni Ding, Fazlul Shahriar, Yury Kihai, and Xinjia Zhou "JPSS VIIRS level 3 uncollated sea surface temperature product at NOAA," Journal of Applied Remote Sensing 11(3), 032405 (16 May 2017). https://doi.org/10.1117/1.JRS.11.032405

Received: 7 December 2016; Accepted: 7 April 2017; Published: 16 May 2017

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