Atmospheric Data Assimilation

Atmospheric Data Assimilation is a process used to improve weather forecasts by integrating real-world observations, like temperature, wind, and humidity, into computer models of the atmosphere. It combines measurement data with mathematical techniques to create the most accurate representation of current atmospheric conditions. This refined initial state then helps produce better weather predictions. Essentially, it’s like updating a complex weather puzzle with the latest pieces, ensuring forecasts are based on the most accurate, current information available.