1. Improvements to the NOAA Geostationary Sea Surface Temperature Product Suite Eileen Maturi, NOAA/NESDIS/STAR Andy Harris, Jonathan Mittaz, Prabhat Koner University of Maryland, CICS

2. Geostationary SST Products Satellites – GOES-E/W – MTSAT-2 – MSG-2 Products – Hourly, 3-hourly & daily gridded binary – NetCDF (GHRSST-L2P) Improvements to Bayesian Cloud Mask – Individual Probability Density Functions for each satellite Physical Retrieval – Hourly bias corrections for channel radiances (~5-day smoothing) – Physical inversion methodology (see Prabhat Koners presentation) – Daytime corrections for solar contribution to 3.9 micron channel radiance CRTM Improvements – Input increased NCEP fields – Input aerosol product Diurnal Warming Estimates – Use NCEP fluxes of heat & momentum in modified 1-d Kantha-Clayson mixing scheme

3. Retrieval Algorithms Regression-based SST retrievalPhysically-based SST retrieval

4. Geostationary Global Merged Product 4 GOES-W GOES-E MSG MT-SAT

5. NOAA Multi-SST Analysis 11-km product – GOES-E/W – MTSAT-2 – MSG-2 – NCEP ice mask (was AMSR-E now SSMI) – MW SST data Intended to add AMSR-E Looking to AMSR-2 WindSat Exploring with RSS

6. Improvements NOAA Multi-SST Analysis 5-km SST analysis Nighttime only version – NOAA Coral Reef Watch Diurnally Corrected – Day & night data – Using modified Kantha-Clayson scheme

7. 11 km global multi-SST analysis (NOAA-19, MetOp-A, GOES-E/W, MTSAT-2 and MSG SSTs)