Training course: Machine learning for weather prediction
Monday, 18 March | |||
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Registration opens
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ECMWF
Reading
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30m |
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Welcome and course general information
Speakers:
Christopher Stewart
(ECMWF),
Julia Ioannou
(ECMWF)
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Council Chamber |
1h 15m |
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Coffee break
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ECMWF
Reading
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25m |
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Overview/ Motivational lecture
Speaker:
Jesper Dramsch
(ECMWF)
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Lecture Theatre |
1h 5m |
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Comfort break
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ECMWF
Reading
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10m |
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Data handling and infrastructure
Speaker:
Florian Pinault
(ECMWF)
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Lecture Theatre |
1h 5m |
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Lunch break
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ECMWF
Reading
|
1h |
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Machine Learning foundations
Speaker:
Jesper Dramsch
(ECMWF)
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Lecture Theatre |
1h 5m |
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Coffee break
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ECMWF
Reading
|
15m |
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Unsupervised learning for data exploration
Speaker:
Siham El Garroussi
(ECMWF)
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Lecture Theatre |
1h 5m |
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Ice-breaker cocktail
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ECMWF
Reading
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1h 30m |
Tuesday, 19 March | |||
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Neural networks / Deep learning
Speaker:
Jesper Dramsch
(ECMWF)
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Lecture Theatre |
1h 15m |
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Coffee break & Group photo
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ECMWF
Reading
|
25m |
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Decision Trees/ Random Forests
Speaker:
Mihai Alexe
(ECMWF)
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Lecture Theatre |
1h 5m |
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Comfort break
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ECMWF
Reading
|
10m |
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Hands-on: Machine learning basics
Speaker:
Matthew Chantry
(ECMWF)
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Classroom |
1h 5m |
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Lunch break
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ECMWF
Reading
|
1h |
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ML Evaluation/ Data Leakage
Speaker:
Jesper Dramsch
(ECMWF)
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Lecture Theatre |
1h 5m |
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Coffee break
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ECMWF
Reading
|
15m |
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Hands on: Debugging ML models
Speaker:
Christian Lessig
(ECMWF)
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Classroom |
1h 30m |
Wednesday, 20 March | |||
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Convolutional Neural Networks
Speaker:
Ana Prieto Nemesio
(ECMWF)
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Lecture Theatre |
1h 15m |
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Coffee break
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ECMWF
Reading
|
25m |
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Transformers
Speaker:
Christian Lessig
(ECMWF)
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Lecture Theatre |
1h 5m |
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Comfort break
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ECMWF
Reading
|
10m |
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Graph Neural Networks
Speaker:
Mihai Alexe
(ECMWF)
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Lecture Theatre |
1h 5m |
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Lunch break
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ECMWF
Reading
|
1h |
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Deep Generative Models
Speakers:
Christian Lessig
(ECMWF),
Gabriel Ionut Moldovan
(ECMWF)
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Lecture Theatre |
1h 5m |
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Coffee break
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ECMWF
Reading
|
15m |
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Hands-on: Graph Neural Networks
Speaker:
Mihai Alexe
(ECMWF)
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Classroom |
1h 30m |
Thursday, 21 March | |||
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Uncertainty/ Bayesian Modelling
Speaker:
Mariana Clare
(ECMWF)
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Classroom |
1h 15m |
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Coffee break
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ECMWF
Reading
|
25m |
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Explainable AI
Speakers:
Ana Prieto Nemesio
(ECMWF),
Mariana Clare
(ECMWF)
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Classroom |
1h 5m |
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Comfort break
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ECMWF
Reading
|
10m |
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Self-supervised Learning
Speaker:
Christian Lessig
(ECMWF)
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Classroom |
1h 5m |
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Lunch break
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ECMWF
Reading
|
1h |
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Data-driven weather forecasts
Speaker:
Matthew Chantry
(ECMWF)
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Classroom |
1h 5m |
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Coffee break
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ECMWF
Reading
|
15m |
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Hands-on: Explainable AI
Speakers:
Ana Prieto Nemesio,
Mariana Clare
(ECMWF)
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Classroom |
1h 30m |
Friday, 22 March | |||
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ML for Model Error Estimation and Prediction
Speaker:
Massimo Bonavita
(ECMWF)
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Lecture Theatre |
1h 15m |
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Coffee break
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ECMWF
Reading
|
25m |
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ML for Data Assimilation
Speaker:
Alan Geer
(ECMWF)
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Lecture Theatre |
1h 5m |
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Comfort break
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ECMWF
Reading
|
10m |
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AI Models: running AIFS (and GraphCast... and FourCastNet...) operationally
Speakers:
Jesper Dramsch
(ECMWF),
Gert Mertes
(ECMWF)
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Lecture Theatre |
35m |
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Course wrap-up, final discussion and Q&A session
Speaker:
Jesper Dramsch
(ECMWF)
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Lecture Theatre |
20m |