Mesoscale Modeling

Mesoscale modeling is a method used in weather prediction that focuses on a medium-sized area—larger than local weather but smaller than global scales. It simulates weather patterns like storms, temperature changes, and wind over regions such as a state or group of cities. These models use detailed data to capture local phenomena more accurately than broader models, helping meteorologists forecast weather with greater precision for specific areas. They are essential for understanding and predicting events like thunderstorms, hurricanes, or fog, by providing high-resolution insights tailored to smaller regions.