GHRSST Level 2P NOAA STAR SST v2.80 from VIIRS on NOAA-20 Satellite
(VIIRS_N20-STAR-L2P-v2.80)| Version | 2.80 |
| Processing Level | 2P |
| Start/Stop Date | 2018-Jan-05 to Present |
| Short Name | VIIRS_N20-STAR-L2P-v2.80 |
| Description | NOAA-20 (N20/JPSS-1/J1) is the second satellite in the US NOAA latest generation Joint Polar Satellite System (JPSS), launched on November 18, 2017. NOAA is responsible for all JPSS products, including SST from the Visible Infrared Imaging Radiometer Suite (VIIRS). The L2P SST product is derived at the native sensor resolution (~0.75 km at nadir, ~1.5 km at swath edge) using NOAA's Advanced Clear-Sky Processor for Ocean (ACSPO) system, and reported in 10-minute granules in netCDF4 format, compliant with the Group for High Resolution Sea Surface Temperature (GHRSST) Data Specification version 2 (GDS2). SSTs are derived from Brightness Temperatures (BTs) using the Non-Linear SST (NLSST) algorithms (Petrenko et al., 2014). An ACSPO clear-sky mask (ACSM) is provided in each pixel as part of variable l2p_flags, which also includes day/night, land, ice, twilight, and glint flags (Petrenko et al., 2010). Only ACSM confidently clear pixels are recommended (equivalent to GDS2 quality level=5). Per GDS2 specifications, two additional Sensor-Specific Error Statistics layers (SSES bias and standard deviation) are reported in each pixel with QL=5. The ACSPO VIIRS L2P product is monitored and validated against quality controlled in situ data provided by NOAA in situ SST Quality Monitor system (iQuam) using another NOAA system, SST Quality Monitor (SQUAM). A reduced size (0.5GB/day), equal-angle gridded (0.02-deg resolution), ACSPO L3U product is also available at https://podaac.jpl.nasa.gov/dataset/VIIRS_N20-STAR-L3U-v2.80 , where gridded L2P SSTs with QL=5 only are reported. The v2.80 is an updated version from the v2.61 with several algorithm improvements including two added thermal front layers, reduced L2P SST data size, mitigated warm biases in the high latitudes, and improved clear-sky mask. |
| DOI | 10.5067/GHV20-2PO28 |
| Measurement | OCEANS > OCEAN TEMPERATURE > SEA SURFACE TEMPERATURE |
| Swath Width | 3040 km |
| Platform/Sensor | NOAA-20 / Platform Name: Joint Polar Satellite System - 1 (NOAA-20) Orbit Period: 102.0 minutes Inclination Angle: 99.0 degrees VIIRS SENSOR Name: Visible-Infrared Imager-Radiometer Suite (VIIRS) Swath Width: 3040.0 kilometers Description: Spacecraft angular distance from orbital plane relative to the Equator. |
| Project | Group for High Resolution Sea Surface Temperature (GHRSST) |
| Data Provider | Publisher: PO.DAAC Creator: NOAA/NESDIS/STAR Release Place: Suitland, MD, USA Release Date: 2021-Nov-25 Resource: https://www.star.nesdis.noaa.gov/star/index.php |
| Format | netCDF-4 |
| Keyword(s) | NOAA, STAR, VIIRS, ACSPO, OSPO, SST, GHRSST, GDS2, N20, v2.80 |
Questions related to this dataset? Contact podaac@podaac.jpl.nasa.gov
Resolution Spatial Resolution: 750 Meters x 750 Meters Temporal Resolution: Hourly - < Daily Coverage Region: GLOBAL North Bounding Coordinate: 90 degrees South Bounding Coordinate: -90 degrees West Bounding Coordinate: -180 degrees East Bounding Coordinate: 180 degrees Time Span: 2018-Jan-05 to Present Granule Time Span: 2018-Jan-05 to 2023-Jun-01Swath Width: 3040 km Projection Projection Type: Satellite native swath Projection Detail: Geolocation information included for each pixel Ellipsoid: WGS 84 |
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| podaac-ops-cumulus-protected/VIIRS_N20-STAR-L2P-v2.80/ | |
| podaac-ops-cumulus-public/VIIRS_N20-STAR-L2P-v2.80/ | |
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Citation is critically important for dataset documentation and discovery. Please cite the data as follows, and cite the reference papers when it is appropriate.
| Citation | NOAA/NESDIS/STAR. 2021. GHRSST Level 2P SST v2.80 dataset from VIIRS on the NOAA-20 satellite. Ver. 2.80. PO.DAAC, CA, USA. Dataset accessed [YYYY-MM-DD] at https://doi.org/10.5067/GHV20-2PO28
For more information see Data Citations and Acknowledgments.
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| Journal Reference | Petrenko, B., A. Ignatov, Y. Kihai, J. Stroup, P. Dash. 2014. Evaluation and Selection of SST Regression Algorithms for JPSS VIIRS, J. Geophys. Res. Atmos., 119, 8. https://doi.org//10.1002/2013JD020637 B. Petrenko, A. Ignatov, Y. Kihai, and A. Heidinger. 2010. Clear-Sky Mask for the Advanced Clear-Sky Processor for Oceans, Journal of Atmospheric and Oceanic Technology, 27, 10. https://doi.org/10.1175/2010JTECHA1413.1 |
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