Adeniyi Mosaku
(DKRZ)
19/03/2025, 13:00
• 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
Paul Keil
(HEREON)
19/03/2025, 15:00
• An overview of state of the art Deep Learning Methods
• Examples from weather, climate and beyond
• Explainable AI
Etienne Plésiat
(DKRZ)
20/03/2025, 09:00
• Definition of the task
• Creation of the training, validation and test datasets
• Building the CNN
Etienne Plésiat
(DKRZ)
20/03/2025, 11:00
• Training the model
• Testing the model
• Improving the model
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
Johannes Meuer
(DKRZ)
20/03/2025, 14:45
• Design and implement inpainting CNN for reconstructing climate data
Johannes Meuer
(DKRZ)
20/03/2025, 16:00
• Train the model with different configurations
• Validate the model on test data
Caroline Arnold
(HEREON),
Paul Keil
(HEREON)
21/03/2025, 09:00
- Learn about AI weather models that can take it up with numerical weather prediction
Caroline Arnold
(HEREON),
Paul Keil
(HEREON)
21/03/2025, 10:00
- Run a global AI weather prediction with a pretrained deep learning model
Etienne Plésiat
(DKRZ),
Johannes Meuer
(DKRZ)
21/03/2025, 10:00
- Open discussion about the workshop material and deep learning concepts
- Collaborative support on specific Climate Science projects
