Introduction to Deep Learning for Climate Scientists

Session

Day 2

11 Mar 2026, 09:00

Room 034 (DKRZ Main Building)

17. Introduction to PyTorch: Application to climate data

Etienne Plésiat (DKRZ)

11/03/2026, 09:00

• Definition of the task
• Creation of the training, validation and test datasets
• Building the model
• Training the model
• Testing the model

21. Introduction to PyTorch: Application to climate data

Etienne Plésiat (DKRZ)

11/03/2026, 11:00

• Improving the model

13. Introduction to Pytorch Lightning

Caroline Arnold (HEREON)

11/03/2026, 11:30

• Learn the basics of the deep learning framework Pytorch Lightning
• Write deep learning code that is flexible and performant

7. Advanced Deep Learning use-case: Reconstructing missing climate data

Johannes Meuer (DKRZ)

11/03/2026, 14:00

• Design and implement inpainting CNN for reconstructing climate data

14. Advanced Deep Learning use-case: Reconstructing missing climate data

Johannes Meuer (DKRZ)

11/03/2026, 15:45

• Train the model with different configurations
• Validate the model on test data

20. Snackchat

Alexander Fischer (DKRZ – DA Group), Caroline Arnold (DKRZ), Etienne Plésiat (DKRZ), Johannes Meuer (DKRZ), Paul Keil (DKRZ / HEREON)

11/03/2026, 16:45

• Some snacks
• Some open chats about the day’s topics