PhD in Quantification of Uncertainties in Climate Precipitation Trends Using Generative Models

This PhD thesis is part of the AICAtS project, which tackles significant scientific challenges for AI applied to atmospheric sciences. It aims to develop probabilistic generative models for estimating precipitation from satellite observations, addressing the inherent stochasticity and uncertainty in climate trends. The project will enhance the understanding of precipitation variability and improve climate resource management.