A new approach to the generation of a global sea surface temperature (SST) climatology from satellite data is presented. This work is an extension of Casey and Cornillon [1999] who demonstrated the overall superiority of constructing a global climatology using exclusively advanced very high resolution radiometer (AVHRR) Pathfinder satellite SST data vs. blended in situ/satellite data. In this implementation, a global pentad (five day) climatology was derived from daily 9 km AVHRR Pathfinder SST data through Gaussian interpolation and averaging. Performance of this climatology with respect to the Casey 9 km pentad satellite and Reynolds 1° monthly climatologies was then investigated by examining the standard deviation of the anomaly data set constructed by subtracting climatological SST observations from co‐located long‐term in situ SST observations. In all areas examined this new climatology, hereafter referred to as the JPL pentad climatology, demonstrated modest improvements over the other climatologies.
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Armstrong et al. (2001) studied this question.
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