[Please acknowledge "NOAA CoastWatch/OceanWatch" when you use data from our site and cite the particular dataset DOI as appropriate.]
The ABI SST data are produced from GOES-16 satellite using the NOAA Advanced Clear-Sky Processor for Ocean (ACSPO) v2.50 enterprise system. Currently, only near-real time (NRT) data are produced at STAR, with a ~2days latency. The data are available in NetCDF4 format, compliant with the GHRSST Data Specifications v2 (GDS2). Currently, the data are not archived and only available at this Coast Watch page as a 2week rotated buffer. There is a plan to reprocess the ABI data, for the full GOES-16 mission.
The data are reported hourly, in ABI Full Disk (FD), for view zenith angle not exceeding 68° in GHRSST Data Specifications v2 (GDS2) format, in swath projection (L2P) and 0.02° gridded L3U (U=uncollated), 24 FDs per day, with a total data volume of 6.3GB/day for L2P and 0.5GB/day for L3U, respectively. For data assimilation applications (such as production of L4 analyses, especially those that blend satellite and in situ data), correction for the Sensor-Specific Error Statistics (SSES; reported in ACSPO files; Petrenko et al., 2016) biases is strongly recommended.
In each valid water pixel (defined as ocean, sea, lake or river, up to 5km inland; note that in "invalid" pixels, defined as those with >5km inland, fill values are reported), the following layers are reported in both L2P and L3U: SSTs derived using multi-channel SST (MCSST; night) and Non-Linear SST (NLSST; day) algorithms (Petrenko et al., 2014); ACSPO clear-sky mask (ACSM; provided in each pixel as part of l2p_flags; Petrenko et al., 2010); SSES bias and standard deviation (Petrenko et al., 2016); NCEP wind speed; and ACSPO SST minus reference (Canadian Met Centre L4 SST). For L2P, brightness temperatures (BTs) in 3.9, 8.6, 10, 11, and 12 µm bands are also reported, for those users interested in direct "radiance assimilation" (e.g., NOAA NCEP, NASA GMAO).
Only ACSM "confidently clear" pixels (equivalent to GDS2 "quality level"=5; also reported for each pixel) should be used. The ACSM also provides day/night, land, ice, twilight, and glint flags. Note that users of ACSPO data have the flexibility to ignore the ACSM, derive their own clear-sky mask, and use BTs and SSTs in those pixels. They may also ignore ACSPO SST, and derive their own SSTs from the original BTs.
Both L2P and L3U SSTs are monitored and validated against in situ data (Xu and Ignatov, 2014) in SQUAM (Dash et al., 2010) and ARMS (Ding et al., 2017) systems, and BTs are monitored in MICROS (Liang and Ignatov, 2011).
GOES-16 / ABI
Measurement Oceans > Sea Surface Temperature > Sub-skin SST
|Short Name|| |
|Sample Filename|| |
|Dataset Type|| |
|Processing Level|| |
|Spatial Coverage|| |
|Temporal Coverage|| |
2km @ Nadir
Satellite native swath
|Swath Width|| |
|Sample Frequency|| |
|Temporal Repeat|| |
4 times per hour
|Orbital Period|| |
Geosynchronous, ~35,800km altitude, ~89.5° West longitude
|Data Provider|| |
Creator: NOAA STAR
NOAA, GOES-16, GOES-R, ABI, near real-time, NRT, ACSPO, sea surface temperature, SST, L2P
- Dash, P., A. Ignatov, Y. Kihai & J. Sapper, 2010: The SST Quality Monitor (SQUAM). JTech, 27, 1899-1917,doi:10.1175/2010JTECHO756.1♦, www.star.nesdis.noaa.gov/sod/sst/squam/
- Liang, X. & A. Ignatov, 2011: Monitoring of IR Clear-sky Radiances over Oceans for SST (MICROS). JTech, 28, 1228-1242, doi:10.1175/JTECH-D-10-05023.1♦, www.star.nesdis.noaa.gov/sod/sst/micros/
- Xu, F. & A. Ignatov, 2014: In situ SST Quality Monitor (iQuam). JTech, 31, 164-180, doi:10.1175/JTECH-D-13-00121.1♦, www.star.nesdis.noaa.gov/sod/sst/iquam/
- 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♦
- Petrenko, B., A. Ignatov, Y. Kihai, and A. Heidinger, 2010: Clear-Sky Mask for ACSPO. JTech, 27, 1609-1623,doi:10.1175/2010JTECHA1413.1♦
(♦ - non-government website)
The ACSPO ABI SST data are provided by NOAA STAR. We strongly recommend contacting NOAA SST team led by A. Ignatov before the data are used for any publication or presentation.
(♦ - non-government website)