Philipp Hess

Philipp Hess is a researcher affiliated with the Professorship for Earth System Modelling at the Technical University of Munich (TUM), working under Prof. Niklas Boers. His research focuses on integrating data-driven machine learning techniques with physics-based climate models to address challenges in predicting extreme rainfall events and enhancing climate projections.

• Institution: Technical University of Munich
• Research Group: Earth System Modelling
• Email: philipp.hess@tum.de

Hess employs deep learning methods from computer vision and generative modeling to improve numerical weather prediction systems. His recent work includes the application of physically constrained GANs to refine precipitation outputs from Earth system models and enhancing short-term rainfall extreme forecasts.

Key trends in his publications include:

• Application of computer vision techniques to climate modeling
• Development of physics-informed generative adversarial networks
• Improving climate projections through hybrid modeling approaches
• Focus on extreme weather events and precipitation patterns