This course offers an advanced introduction to climate data analysis. The goal is to provide an overview of statistical methods used to interpret climate data in the space, time and spectral domains. Statistical techniques such as regression, correlation and spectral analysis of time series will be explored with a focus on hypothesis formulation, application to real-world problems and interpretation of the analysis. Multivariate approaches will also be introduced. Although some previous knowledge of probability and statistics will be helpful, a review will be provided at the beginning of the course. Concepts and notation will be introduced, as needed.
Jointly offered with EESD21H3