GHRSST Level 3U OSPO dataset v2.61 from VIIRS on NOAA-20 Satellite (GDS v2)

GHRSST Level 3U OSPO dataset v2.61 from VIIRS on NOAA-20 Satellite (GDS v2)
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Short NameVIIRS_N20-OSPO-L3U-v2.61
DescriptionNOAA-20 (hereafter, N20; also known as JPSS-1 or J1 prior to launch) is the second satellite in the US National Oceanic and Atmospheric Administration (NOAA) latest generation Joint Polar Satellite System (JPSS). N20 was launched on November 18, 2017. In conjunction with the first US satellite in JPSS series, Suomi National Polar-orbiting Partnership (S-NPP) satellite launched on October 28, 2011, N20 form the new NOAA polar constellation. The ACSPO N20/VIIRS L3U (Level 3 Uncollated) product is a gridded version of the ACSPO N20/VIIRS L2P product available here The L3U output files are 10-minute granules in netCDF4 format, compliant with the GHRSST Data Specification version 2 (GDS2). There are 144 granules per 24hr interval, with a total data volume of 500MB/day. Fill values are reported at all invalid pixels, including pixels with >5 km inland. For each valid water pixel (defined as ocean, sea, lake or river, and up to 5 km inland), the following layers are reported: SSTs, ACSPO clear-sky mask (ACSM; provided in each grid as part of l2p_flags, which also includes day/night, land, ice, twilight, and glint flags), NCEP wind speed, and ACSPO SST minus reference (Canadian Met Centre 0.1deg L4 SST; available at ). Only L2P SSTs with QL=5 were gridded, so all valid SSTs are recommended for the users. Per GDS2 specifications, two additional Sensor-Specific Error Statistics layers (SSES bias and standard deviation) are reported in each pixel with valid SST. The ACSPO VIIRS L3U product is monitored and validated against iQuam in situ data (Xu and Ignatov, 2014) in SQUAM (Dash et al, 2010).
Dataset TypeOPEN
MeasurementOceans > Ocean Temperature > Sea Surface Temperature > Skin Sea Surface Temperature
Processing Level3U
CoverageRegion: Global
Northernmost Latitude: 90 degrees
Southernmost Latitude: -90 degrees
Westernmost Longitude: -180 degrees
Easternmost Longitude: 180 degrees
Time Span: 2018-Jan-05 to Present
ResolutionSpatial Resolution: 0.02 degrees (Latitude) x 0.02 degrees (Longitude)
Temporal Resolution: 12 Hour
ProjectionType: Gridded
Detail: Geolocation information included for each pixel
Ellipsoid: WGS 84
Latency6 hours
Name: National Oceanic & Atmospheric Administration-20 (NOAA-20)
Orbit Period: 102 minutes
Inclination Angle: 99 degrees
Ascending Node: 1970-Jan-01 00:00:00
Name: Visible Infrared Imaging Radiometer Suite (VIIRS)
Swath Width: 3040 km
Description: VIIRS is a 22-band radiometer to collect infrared and visible light for earth system monitoring

ProjectGroup for High Resolution Sea Surface Temperature (GHRSST)
Data ProviderCreator: NOAA Office of Satellite and Product Operations (OSPO)
Release Place: Suitland, MD, USA
Release Date: 2019-May-15
Keyword(s)NOAA, JPSS, VIIRS, OSPO, ACSPO, sea surface temperature, SST, L3U, GHRSST, GDS2, ospo, N-20, N20, v2.61
Persistent IDPODAAC-GHV20-3UO61
Questions related to this dataset? Contact
User's Guide
GDS2 User Manual
Documentation on the GDS version 2 format specification
Project Materials
ACSPO Documents
Samples, Interface Control Document describing file contents, background ppt and other info
GHRSST Project
Portal to the GHRSST Global Data Assembly Center and data access
Journal References
Petrenko, B., et al., 2010
Petrenko, B., A. Ignatov, Y. Kihai, and A. Heidinger, 2010: Clear-Sky Mask for ACSPO. JTech, 27, 1609-1623
Petrenko, B., et al., 2014
Petrenko, B., A. Ignatov, Y. Kihai, J. Stroup, P. Dash, 2014: Evaluation and Selection of SST Regression Algorithms for JPSS VIIRS. JGR, 119, 4580-4599, doi: 10.1002/2013JD020637
Additional Sites
Dash, P., A. Ignatov, Y. Kihai
Xu, F.
Liang, X.
What is SST ?
Citation NOAA Office of Satellite and Product Operations (OSPO). 2019. GHRSST Level 3U OSPO dataset v2.61 from VIIRS on NOAA-20 Satellite (GDS v2). Ver. 2.61. PO.DAAC, CA, USA. Dataset accessed [YYYY-MM-DD] at

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For more information see Data Citations and Acknowledgments.

Journal Reference Petrenko, B., A. Ignatov, Y. Kihai, J. Stroup, and P. Dash, 2014, Evaluation and selection of SST regression algorithms for JPSS VIIRS, J. Geophys. Res. Atmos., 119, doi:10.1002/2013JD020637