From 2011 – 2016, MISST for IOOS has been a successful NOPP project, accomplishing:



  1. Over 40 peer-reviewed MISST publications by team.
  2. Re-processing, production, and dissemination of satellite SSTs in L2P, L3, and L4 data in GHRSST GDS 2.0 format
  3. New SST data streams from the S-NPP VIIRS and GCOM-W AMSR2 have been introduced to the user community, with associated uncertainty estimates.
  4. An improved understanding of sub-daily variability in SST and SST errors.
  5. An increased number of end-users and applications



  1. Outreach and coordination with IOOS regional associations.  Webinars and  teleconferences with RAs allowed us to determine specific SST requirements.  In response to RA requests, a MUR-based SST anomaly product was developed by the CoastWatch West Coast Node in collaboration with JPL. The anomaly data and climatology are available on the West Coast Node data server.
  2. CoastWatch/SWFSC ERDAAP server has been updated to include GHRSST data.
  3. MISST data are now integrated into the Animal Telemetry Network Portal, a resource for all RAs to provide access to and visualization of their animal telemetry data.
  4. The Environmental Data Connector (EDC), a GUI interface that allows temporal/spatial subsetting, and easy importation of data into ArcGIS, Matlab, and R, has been updated to include MISST data.  IOOS RAs use ArcGIS extensively and these updates will enable many RAs to integrate MISST data into their applications.
  5. MISST enabled the long term preservation and stewardship of project datasets, and their provision to the community through IOOS-mandated interoperable data access services.
  6. Reprocessed geostationary SST data applying Physical Retrieval algorithm (2002-2015)
  7. Reprocessed 5km Geo-Polar SST Analysis 2002-2015.
  8. Cryosat-2 altimetry data incorporated into North Atlantic, N. Pacific and S. Pacific operational Oceanic Heat Content products.



  1. Improved L4 SST data sets for coastal and lake studies.
  2. New SST sensors (VIIRS, AMSR2, Himawari-8,etc.) added to operational processing and validated to evaluate the dependency of their impact to different assimilation alternatives. Experiments identified the most promising data streams and assimilation procedures to resolve diurnal to lower frequency SST variability.
  3. MISST has provided near-real-time access to high quality SST observations, including radiances and error estimates, for assimilation in ocean forecasting systems.  Access to these data would not otherwise have been possible.  The use of MISST data to calibrate forecast heat fluxes was demonstrated to reduce 1-4 day forecast SST errors in the California Current region by 10-30%.