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Accurate high resolution specification of sea surface temperature (SST) is important for regional weather forecasting studies and coastal ocean applications. Chelton et al. (2007) and Lacasse et al. (2008) showed that the use of coarse resolution SST products such as from the real-time global (RTG) SST analysis (Thiebaux et al. 2003) in regional weather forecast models do not properly portray the fluxes of heat and moisture from the ocean that drive the formation of low level clouds and precipitation. High resolution SSTs may also be important for hurricane track and intensity forecasts and useful to verification of ocean circulation models. A polar orbiting data compositing technique, which provides spatially continuous, accurate, high-resolution SST fields using data from the Moderate-resolution Imaging Spectrometer (MODIS) on NASA's Terra and Aqua satellites, was developed by Haines et al. (2007). Case et al. (2008) presented a detailed analysis of the impact of the composite SST product in coastal regions. However, the approach was limited during periods of long-term cloud cover where latency of past data reduced the accuracy of the data presented in the composites. Recently, an enhanced compositing technique was developed to circumvent shortcomings of the Haines et al. (2007) approach by including AMSR-E SST data in the compositing process. The enhanced scheme also incorporates a more sophisticated temporal weighting scheme which considers bias, observational errors and spatial resolution along with the latency of the SST data in the generation of the high resolution composites. The enhanced SST composite product is produced four times a day in near real-time over the ocean regions surrounding the continental U.S. The product is being integrated into NASA's Short Term Prediction and Research Transition (SPoRT) project (Jedlovec et al. 2006) and distributed to the NWS, other government agencies, and the public for use in regional weather forecast applications. Prospective users can also get this product from the Physical Oceanography DAAC in standard L3P format later this year. The presentation will describe this work and present examples of the impact of the product on short-term weather forecasts.