MSC Thesis: Downscaling Future Climate Projections with Deep Learning Methods
While 2020 has been a nightmare, this year I have been fortunate enough to complete the Master of Science in Mathematics and Statistics through USQ. The time available to work on this project was aided by being able to take some leave as well as long service leave at different stages of the year to complete the literature review and the bulk of the research. Also working from home for the majority of the year which reduced the amount of time commuting.
The result is my dissertation “Future Climate Change Projections: Downscaling Global Climate Models with Convolutional and Long Short-Term Memory Networks for Solar Energy Applications”.
The materials from that thesis and associated seminars have been packaged in the following website.
Project Link: Downscaling Future Climate Projections with Deep Learning Methods
The website is structured so that the summary slides are accessible at the top level and for those who would like to dive into the content of the thesis, each slide allows access to the appropriate chapter. The navigation menu also allows access to either level (summary or detailed).
For those interested in an overview of the research, here is a link to the Abstract.