Training course: Machine Learning-based weather forecasting

Monday, 16 November
08:30 → 09:00
Registration opens

ECMWF

 		30m
09:00 → 10:15
Welcome and motivation
Speaker: Christian Lessig (ECMWF)
Conference/1-0 - Council Chamber

Conference/1-0 - Council Chamber

ECMWF

83
1h 15m
10:15 → 10:40
Coffee break
25m
10:40 → 11:45
Neural networks overview
Speaker: Christian Lessig (ECMWF)

Classroom

 		1h 5m
11:45 → 11:55
Comfort break

ECMWF

Reading
10m
11:55 → 13:00
Transformers and Convolutional Neural Networks (CNNs)
Speaker: Sophie Xhonneux (ECMWF)
Conference/G-043 - Classroom

Conference/G-043 - Classroom

ECMWF

36
1h 5m
13:00 → 14:00
Lunch break

ECMWF

Reading
1h
14:00 → 15:05
Deep Generative models
Speaker: Simon Lang (ECMWF)

Lecture Theatre

 		1h 5m
15:05 → 15:20
Coffee break

ECMWF

Reading
15m
15:20 → 17:00
Hands-on: Getting started and Debugging ML
Speaker: Cathal O Brien (ECMWF)

Classroom

 		1h 40m
17:00 → 18:00
Ice-breaker cocktail
Conference/G-WR - Weather room

Conference/G-WR - Weather room

ECMWF

60
1h
Tuesday, 17 November
09:00 → 10:15
Graph Neural Networks Including Anemoi graphs
Speaker: Mihai Alexe (ECMWF)

Classroom

 		1h 15m
10:15 → 10:40
Coffee break & Group photo

ECMWF

Reading
25m
10:40 → 11:45
Hands-on: Graph Neural Networks
Speakers: Mario Santa Cruz Lopez (ECMWF), Mihai Alexe (ECMWF)

Lecture Theatre

 		1h 5m
11:45 → 11:55
Comfort break

ECMWF

Reading
10m
11:55 → 13:00
Data-driven weather forecasts and AIFS
Speaker: Mariana Clare (ECMWF)

Classroom

 		1h 5m
13:00 → 14:00
Lunch break

ECMWF

Reading
1h
14:00 → 15:05
Evaluating ML models
Speaker: Zied Ben Bouallegue (ECMWF)

Classroom

 		1h 5m
15:05 → 15:20
Coffee break

ECMWF

Reading
15m
15:20 → 17:00
Hands-on: Runnings AIFS
Speakers: Cathal O Brien (ECMWF), Jakob Schlör (ECMWF), Mihai Alexe (ECMWF)

Classroom

 		1h 40m
Wednesday, 18 November
09:00 → 10:15
Self-supervised learning and WeatherGenerator
Speaker: Christian Lessig (ECMWF)

Classroom

 		1h 15m
10:15 → 10:35
Coffee break

ECMWF

Reading
20m
10:40 → 11:45
Hydrology modelling
Speaker: Kenza Tazi (ECMWF)

Lecture Theatre

 		1h 5m
11:45 → 11:55
Comfort break

ECMWF

Reading
10m
11:55 → 13:00
Anemoi datasets and data handling
Speakers: Cathal O Brien (ECMWF), Florian Pinault (ECMWF), Natalie Zelenka (ECMWF)

Classroom

 		1h 5m
13:00 → 14:00
Lunch break

ECMWF

Reading
1h
14:00 → 15:05
Anemoi training #1
Speaker: Mario Santa Cruz Lopez (ECMWF)

Classroom

 		1h 5m
15:05 → 15:20
Coffee break

ECMWF

Reading
15m
15:20 → 17:00
Hands-on: Anemoi training #1
Speakers: Cathal O Brien (ECMWF), Jakob Schlör (ECMWF)

Classroom

 		1h 40m
Thursday, 19 November
09:00 → 10:15
Direct Observation Prediction (DOP)
Speaker: Ewan Pinnington

Classroom

 		1h 15m
10:15 → 10:40
Coffee break

ECMWF

Reading
25m
10:40 → 11:45
Hands on: Anemoi training #2
Speaker: Jakob Schlör (ECMWF)

Classroom

 		1h 5m
11:45 → 11:55
Confort break

ECMWF

Reading
10m
11:55 → 13:00
Hands on: Anemoi training #3
Speakers: Mario Santa Cruz Lopez (ECMWF), Mihai Alexe (ECMWF)

Classroom

 		1h 5m
13:00 → 14:00
Lunch break

ECMWF

Reading
1h
14:00 → 15:05
How we build a new AIFS
Speakers: Harrison Cook (ECMWF), Mariana Clare (ECMWF)

Classroom

 		1h 5m
15:05 → 15:20
Coffee break

ECMWF

Reading
15m
15:20 → 17:00
Hands-on: Explainable AI
Speakers: Mariana Clare (ECMWF), Mario Santa Cruz Lopez (ECMWF)

Classroom

 		1h 40m
Friday, 20 November
09:00 → 10:15
Modelling the Earth system
Speakers: Nina Raoult (ECMWF), Sara Hahner (ECMWF)

Classroom

 		1h 15m
10:15 → 10:40
Coffee break

ECMWF

Reading
25m
10:40 → 11:45
Hands on: Optimising Anemoi performance
Speakers: Cathal O Brien (ECMWF), Johan Ericsson (ECMWF)

Classroom

 		1h 5m
11:45 → 11:55
Comfort break

ECMWF

Reading
10m
11:55 → 13:00
Implementing ML in operations and course wrap-up and Q&A

Classroom

 		1h 5m

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