Location
CoLab, OCB 100
Start Date
25-4-2024 9:00 AM
Document Type
Poster
Description
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.
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Using Dynamical Systems to Predict Weather Patterns
CoLab, OCB 100
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.
Comments
The faculty mentor for this project was Brenda Edmonds, Mathematics.