A statistical model in meteorology is a mathematical framework that uses historical data and statistical techniques to analyze and predict weather-related phenomena. Unlike physical models, which simulate the underlying physics of the atmosphere, statistical models focus on identifying patterns and relationships within observed data to make predictions about future weather conditions. Statistical models in meteorology are particularly useful when the underlying physical processes are complex and difficult to model accurately, or when data is limited.
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