Name: Introduction to Deep Learning for Climate Scientists
Start: 2025-03-19T13:00:00+01:00
End: 2025-03-21T12:30:00+01:00
Location: DKRZ Main Building

Introduction to Deep Learning for Climate Scientists

from Wednesday, 19 March 2025 (13:00) to Friday, 21 March 2025 (12:30)

Monday, 17 March 2025
Tuesday, 18 March 2025
Wednesday, 19 March 2025
13:00
13:00 - 17:30
Room: Room 034
Contributions

13:00 Introduction to Machine Learning - Adeniyi Mosaku (DKRZ)

15:00 Architectures and Applications - Paul Keil (HEREON)

17:00 Accounts setup - Paul Keil (HEREON)
Thursday, 20 March 2025
09:00
09:00 - 17:30
Room: Room 034
Contributions

09:00 Introduction to PyTorch: a simple Climate Science case study - Etienne Plésiat (DKRZ)

11:00 Introduction to PyTorch: a simple Climate Science case study - Etienne Plésiat (DKRZ)

14:00 Introduction to Pytorch Lightning - Caroline Arnold (HEREON)

14:45 Advanced Deep Learning use-case: Reconstructing missing climate data - Johannes Meuer (DKRZ)

16:00 Advanced Deep Learning use-case: Reconstructing missing climate data - Johannes Meuer (DKRZ)
Friday, 21 March 2025
09:00
09:00 - 12:30
Room: Room 034
Contributions

09:00 Advanced Deep Learning Use Case: AI Weather Prediction - Caroline Arnold (HEREON) Paul Keil (HEREON)

10:00 AI Weather prediction in practice - Caroline Arnold (HEREON) Paul Keil (HEREON)

10:00 Everything You Always Wanted to Know About Deep Learning* (*But Were Afraid to Ask) - Etienne Plésiat (DKRZ) Johannes Meuer (DKRZ)

12:00 Closing remarks - Paul Keil (HEREON)