Information about sea surface temperature is important for weather and ocean forecasting, climate monitoring, military and defense operations, ecosystem assessment, fisheries analyses and tourism operations.
NOAA's Sea Surface Temperature Team is working to improve their products by reanalyzing past data with NOAA's Advanced Clear-Sky Processor for Oceans (ACSPO) using the enterprise algorithm. This reanalysis fills in some areas with data gaps and allows for improved comparison of data from different satellite sensors.
Currently, CoasWatch/OceanWatch is hosting version 1 of reanalyzed sea surface temperature data from the Advanced Very High Resolution Radiometer (AVHHR) and the Visible Infrared Imaging Radiometer Suite (VIIRS). Stay tuned for the release of additional versions.
References and Related Reading
- 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