Updated:  12/4/2024 02:57:00
 

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Sea Surface Temp Anomaly
Sea Surface Temp Anomaly
Description: Whereas sea surface temperature data is used in weather modeling, identifying surface currents, and many other applications, sometimes knowing the exact temperature is not as useful as knowing the temperature compared to an historical average or the "climate normal." In this case, what is considered "normal" is calculated by averaging the most recent three full decades of data (e.g., 1980-2010). A sea surface anomaly, or departure from the average temperature, is then calculated by subtracting the temperatures from a time period of interest from the 30-year average for the same time period. The resulting data shows areas that are hotter or colder than normal. Sea surface temperature anomaly data allow scientists to quickly identify features of interest, especially for El Nino/La Nina, coastal upwelling, and hurricane intensification.

This imagery is updated once a day and uses the Optimum Interpolation SST (commonly called OI SST) anomaly dataset generated by NOAA's National Climatic Data Center. OI SST uses infrared and microwave data from polar-orbiting satellites (NOAA AVHRR and NASA AMSR-E, respectively) and oceanic buoys to calculate one of the most accurate analyses of sea surface temperature. Blue colors indicate areas that are cooler than normal, red areas are warmer than normal.

Data Source: NOAA/NCDC OI SST products page

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