Introduction to Deep Learning for Climate Scientists

Session

Day 1

10 Mar 2026, 10:30

Room 034 (DKRZ Main Building)

1. Introduction to Machine Learning

Alexander Fischer (DKRZ – DA Group)

10/03/2026, 10:30

• A comprehensive overview of the concepts and principle behind Machine Learning
• Exploration of real-world applications of Machine Learning
• Differentiating different Machine Learning types
• Introducing popular Machine Learning tools and frameworks

3. Architectures and Applications

Paul Keil (HEREON)

10/03/2026, 14:00

• An overview of state of the art Deep Learning Methods
• Examples from weather, climate and beyond
• Explainable AI

12. Introduction to PyTorch: Core Concepts

Etienne Plésiat (DKRZ)

10/03/2026, 16:00

• Preparation of the DKRZ accounts for the Pytorch tutorials
• Brief theoretical introduction to PyTorch
• Hands-on illustrating the core concepts