The system, dubbed SMT, uses big data, analytics and machine learning to derive the forecasting data from various weather models.
âBy continuously training itself using historical records from thousands of weather stations and real time measurements, IBMâs system combines predictions from a number of weather models with geographic information and other data to produce the most accurate forecasts â from minutes to weeks ahead, ” Dr. Siyuan Lu, physical analytics researcher at IBM, said Thursday.
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