Please Note: This dataset is retired, and is displayed for archive purposes only, and may not reflect the most updated information.
However, a newer version exists.
GHRSST Level 3U NOAA STAR SST v2.80 from VIIRS on S-NPP Satellite. DOI: https://doi.org/10.5067/GHVRS-3UO28
For Version History information click here >>
However, a newer version exists.
GHRSST Level 3U NOAA STAR SST v2.80 from VIIRS on S-NPP Satellite. DOI: https://doi.org/10.5067/GHVRS-3UO28
For Version History information click here >>
GHRSST Level 3U OSPO dataset v2.61 from VIIRS on S-NPP Satellite (GDS v2)
(VIIRS_NPP-OSPO-L3U-v2.61)
3 Publications Cited this Dataset
Citation metrics available for years (2014-2022)
Close
Publications citing GHRSST Level 3U OSPO dataset v2.61 from VIIRS on S-NPP Satellite (GDS v2)
Citation metrics available for years (2014-2022)
Year | Citation |
---|---|
2021 | NOAA OSPO, 2019: Sea surface temperature retrievals produced by NOAA/NESDIS/STAR Office from VIIRS sensor, version 2.61. PO.DAAC, accessed 15 July 2020, https://doi.org/10.5067/ GHVRS-3UO61. Moored Turbulence Measurements Using Pulse-Coherent Doppler Sonar, Journal ,10.1175/JTECH-D-21-0005.1 |
2022 | Satellite detection of a massive phytoplankton bloom following the 2022 submarine eruption of the Hunga Tonga‐Hunga Haʻapai Volcano, Geophysical Research Letters ,10.1029/2022gl099293 |
2022 | Multi-Sensor Sea Surface Temperature Products from the Australian Bureau of Meteorology, Remote Sensing ,10.3390/ rs14153785 |
DOI | 10.5067/GHVRS-3UO61 |
Short Name | VIIRS_NPP-OSPO-L3U-v2.61 |
Description | The Joint Polar Satellite System (JPSS), starting with S-NPP launched on 28 October 2011, is the new generation of the US Polar Operational Environmental Satellites (POES). The Suomi National Polar-orbiting Partnership (S-NPP) is a collaboration between NASA and NOAA. The ACSPO SNPP/VIIRS L3U (Level 3 Uncollated) product is a gridded version of the ACSPO SNPP/VIIRS L2P product available here https://podaac.jpl.nasa.gov/dataset/VIIRS_NPP-OSPO-L2P-v2.61. 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 https://podaac.jpl.nasa.gov/dataset/CMC0.1deg-CMC-L4-GLOB-v3.0 ). 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). |
Version | 2.61 |
Dataset Type | DEPRECATED |
Questions related to this dataset? Contact podaac@podaac.jpl.nasa.gov
Please contact podaac@podaac.jpl.nasa.gov for more info.
Name | Long Name | Unit |
---|---|---|
crs | crs | |
dt_analysis | deviation from SST reference | kelvin |
l2p_flags | L2P flags | |
lat | latitude | degrees_north |
lon | longitude | degrees_east |
or_number_of_pixels | number of pixels from the L2Ps contributing to the SST value | 1 |
quality_level | quality level of SST pixel | |
satellite_zenith_angle | satellite zenith angle | degrees |
sea_surface_temperature | sea surface sub-skin temperature | kelvin |
sses_bias | SSES bias estimate | kelvin |
sses_standard_deviation | SSES standard deviation | kelvin |
sst_dtime | time difference from reference time | seconds |
time | reference time of sst file | seconds since 1981-01-01 00:00:00 |
wind_speed | wind speed | m s-1 |
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 Office of Satellite and Product Operations (OSPO). 2019. GHRSST Level 3U NOAA/ACSPO SST from VIIRS on S-NPP. Ver. 2.61. PO.DAAC, CA, USA. Dataset accessed [YYYY-MM-DD] at https://doi.org/10.5067/GHVRS-3UO61
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 . |