Atmospheric Science
Data assimilation is the process of integrating real-time observational data into numerical models to improve the accuracy of weather forecasts. It combines new measurements from various sources with existing model data, allowing meteorologists to create a more accurate representation of the atmosphere at any given time. This technique is essential for making reliable predictions about weather patterns and phenomena.
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