Weather Prediction using Persistent Homology
(Jacob Sriraman)
In this project we explore how topological feactures in weather data can be exploited to analysize and sometimes predict weather regime changes.
Some very rough guidelines will be given below to help you start thinking about the project. More details will be provided during subsequent discussions.
- Read up about persistent homology and the Takens Embedding and about exploring the topological analysis of time series data