Using Dynamical Systems to Predict Weather Patterns

Predicting weather patterns is a multi-layer and multi-variable task that is made possible by dynamical systems. These differential systems generate models and vector fields that allow weather forecasters to predict atmospheric variables such as temperature, humidity, wind direction and velocity, surface pressure, cloud cover, and precipitation. This presentation is an analysis of such systems, and a breakdown of how they are defined.