Iván Martínez Vidal

PhD Thesis

Improving Severe Weather Hazard Prediction for Aviation using Machine Learning

Supervisors

Aniel Jardines (Applied Innovative Methods) & Manuel Soler (UC3M)

Abstract

This PhD thesis strives to bridge the gap between existing weather forecast products and the needs of the aviation industry. By enhancing situational awareness through improved weather predictions, the research aims to optimize operations, reduce delays, enhance safety, and minimize economic losses. Through the development of advanced machine learning models, continuous learning techniques, and accessible visualization tools, this research has the potential to make a significant impact on the aviation sector and advance the field of weather forecasting.

Doctoral Meetings