20190619 16112600 1.0 TRUE Sea Surface Temperature (SST) Anomaly product is a simple mean of the daily anomaly product created by ERD for a given month. The daily anomalies were created by ERD based on JPL MUR's climatology (2003-2014) of the Jet Propulsion Laboratory's (JPL) Multi-scale Ultra-high Resolution (MUR), merged, multi-sensor L4 v4.1 Foundation SST analysis product (part of the Group for High-Resolution Sea Surface Temperature (GHRSST) project). <br><br> Units are degrees Celsius. <br><br> Seasonal averages calculated from monthly averages from NOAA Coastwatch ERDDAP server at https://coastwatch.pfeg.noaa.gov/erddap/wms/jplMURSST41anommday/index.html Oceanography SST Sea Surface Temperature (SST) Anomaly SSTanomaly 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