Post-processing of Ensemble Forecasts of Various Weather and Hydrological Quantities Using Statistical and Machine Learning Methods

Abstract

The goal of this thesis is to present a newly developed probabilistic post-processing models for ensemble weather forecasts , specifically for water level, solar irradiance and total cloud cover.