Retrieval Algorithms The derivations for each satellite consist of two steps: 1) cloud detection using a Bayesian Probabilistic Cloud Mask; and 2) application.

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Retrieval Algorithms The derivations for each satellite consist of two steps: 1) cloud detection using a Bayesian Probabilistic Cloud Mask; and 2) application of a radiative transfer based linear regression SST retrieval. A new physical retrieval algo- rithm is being tested for implementation in the near- future., NOAA Operational Geostationary Sea Surface Temperature Product Suite Eileen Maturi 1, Andy Harris 2, Jonathan Mittaz 2, Robert Potash 3, Wen Meng 3, John Sapper 4 1NOAA/NESDIS/STAR, Camp Springs, MD, 2University of Maryland, College Park, MD, 3Perot Systems, 4NOAA/NESDIS/OSDPD, Camp Springs, MD 6 th GOES Users Conference and 50th Anniversary Meteorological Satellite Experiment Symposium Monona Terrace Convention Center — Madison, WI Nov 2-5, 2009 Validation All SST retrievals are validated in relation to the drifting and fixed buoys and the Reynolds OISST analysis. An automated validation system exists to quality control the SST retrievals and uses the operational match up file as an input to calculate the number of matches, maximum bias, mean bias on daily, weekly, and monthly timescales. An further SST reprocessing system for quality control is part of the validation system to test and regenerate all SST products when a retrieval error is discovered or a new component of the algorithm requires testing. GOES-SST Level 2 Pre-processed Sea Surface Temperature Products In December 2000, the National Oceanic and Atmospheric Administration (NOAA) and the National Environmental Satellite Data and Information Service (NESDIS) began providing operational geostationary satellite-derived sea surface temperature (SST) measurements for the entire Western Hemisphere. Currently, NOAA’s Office of Satellite Data Processing and Distribution (OSDPD) generates operational SST retrievals from GOES-11 and 12 satellites as well as from the Japanese Multi-function Transport Satellite (MTSAT-1R) and the European Meteosat Second Generation (MSG) satellite. The satellites are situated at longitudes 135° W, 75° W, 0° and 140° E respectively, making it possible to acquire high temporal SST retrievals with Advanced Very High Resolution Radiometer (AVHRR) SST - like quality for most of the tropical mid-latitudes (excluding 60 to 80 degrees east longitude). The operational data products include regional hourly and 3-hourly hemispheric imagery, 24 hour merged composites, SST Level 2 preprocessed (L2P) products (GOES-SST every 1/2 hour for each hemisphere,MTSAT-1R SST L2P full disk every hour, MSG-SST L2P full disk every half-hour), a match-up data file for each product and an 11 km global multi-SST analysis (NOAA-19, MetOp-A, GOES-E/W, MTSAT-1R and MSG SSTs). Level-2 preprocessed – SST retrievals are put into a standard format and ancillary information is added, including environmental conditions and retrieval errors. The current GOES-SSTL2P product is generated every ½ hour for GOES-E & W, N & S sectors and the netcdf product file has 22 parameters for each pixel: SST, time, latitude, longitude, satellite zenith angle, aerosol optical depth, surface solar irradiance, wind speed, Uncertainty estimates (bias and S.D.), Proximity Confidence Value, QC flags (including cloud and land), Ice concentration, Deviation from analysis SST, Temporal coincidences of ancillary data c.f. SST observation, Source codes for ancillary data, Probability of clear-sky (Bayesian cloud mask). Similar SST Level-2P products are produced for MTSAT and MSG. GOES-W GOES-E Meteosat-9 {gap} MT-SAT 1R Geostationary SST product coverage The image is a 24 hour merged composite of the Operational geostationary SST products generated by NOAA for the period August This Image consists of GOES-W (11), GOES-E (12), Meteosat-9, a gap, and MTSAT-1R data. SST BIAS STANDARD DEVIATION WIND SPEED AEROSOL OPTICAL DEPTH PROXIMITY CONFIDENCE SURFACE SOLAR IRRADIANCE Merged SST image from MTSAT, GOES and MSG with a Bayesian clear sky threshold of 0.95 ( UT 24 July 2007) Regression-based SST retrievalPhysically-based SST retrieval 11 km global multi-SST analysis (NOAA-19, MetOp-A, GOES-E/W, MTSAT-1R and MSG SSTs