Bachelor defense by Niels Schøtt Hvidberg

Title: Empirical Orthogonal Functions as a Climate Data Analysis Tool


The climate system is complex systems where many physical processes operate on different space and time scales. The analysis of the dominant physical processes operating at a specific range of scales can be a difficult problem. This project applies Empirical Orthogonal Function (EOF) analysis to a set of surface temperature data sets obtained from a model simulation of the modern and glacial climate, as well as an observational temperature data set of the modern climate. The EOF analysis is used to study changes in variability between the model and the real world, as well as investigating changes that may have occurred in the past.