Introduction to Deep Learning for Climate Scientists

Session

Day 2

20 Mar 2025, 09:00

Room 034 (DKRZ Main Building)

Conveners

Day 2

• Etienne Plésiat (DKRZ)
• Johannes Meuer (DKRZ)

17. Introduction to PyTorch: a simple Climate Science case study

Etienne Plésiat (DKRZ)

20/03/2025, 09:00

• Definition of the task
• Creation of the training, validation and test datasets
• Building the CNN

10. Introduction to PyTorch: a simple Climate Science case study

Etienne Plésiat (DKRZ)

20/03/2025, 11:00

• Training the model
• Testing the model
• Improving the model

13. Introduction to Pytorch Lightning

Caroline Arnold (HEREON)

20/03/2025, 14:00

• 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)

20/03/2025, 14:45

• Design and implement inpainting CNN for reconstructing climate data

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

Johannes Meuer (DKRZ)

20/03/2025, 16:00

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