Machine learning for numerical weather predictions and climate services – A workshop for Member and Co-operating States

Wednesday, 14 April
ML roadmap and software/hardware infrastructure
Chair: Peter Dueben (ECMWF)
13:0013:40
The machine learning roadmap
Speaker: Peter Dueben (ECMWF)
40m
13:4014:00
Tools for machine learning
Speaker: Baudouin Raoult (ECMWF)
20m
14:0014:30
Discussions
30m
14:3014:45
Coffee break
15m
14:4515:15
Infrastructure for machine learning
Speaker: Stephan Siemen (ECMWF)
30m
15:1515:30
Overview of Météo-France "AI Lab" activities and achievements
Speaker: Lior Perez (Météo-France)
15m
15:3015:45
Overview of research developments and projects making use of AI-related methods at Météo-France
Speaker: Laure Raynaud (Météo-France)
15m
15:4516:00
Neural network based forward operators for visible and near-infrared satellite images
Speaker: Leonhard Scheck (Hans Ertel Centre for Weather Research / LMU Munich)
15m
16:0016:15
Discussions
15m
Thursday, 15 April
Examples of ML weather related applications
Chair: Sam Hatfield (ECMWF)
13:0013:15
Intelligent IR/VIS Cloud Camera Observation Operators for convective-scale NWP
Speaker: Roland Potthast (Deutscher Wetterdienst)
15m
13:1513:30
Learning earth system models from observations: machine learning or data assimilation?
Speaker: Alan Geer (ECMWF)
15m
13:3013:45
Model error correction with data assimilation and machine learning
Speaker: Alban Farchi (CEREA, ENPC)
15m
13:4514:00
Parameterisation emulation with machine learning
Speaker: Matthew Chantry (University of Oxford)
15m
14:0014:15
A targeted machine learning approach to accelerate radiation computations
Speaker: Peter Ukkonen (Danish Meteorological Institute)
15m
14:1514:30
Discussions
15m
14:3014:45
Coffee break
15m
14:4515:00
Estimation of Koopman Transfer Operators for the Equatorial Pacific SST
Speaker: Antonio Navarra (CMCC)
15m
15:0015:15
Using machine learning to produce a very high resolution land-cover map for Ireland
Speaker: Eoin Walsh (University of Limerick)
15m
15:1515:30
Supervised machine learning for post-processing surface weather parameters - an overview of some activities at ECMWF
Speaker: Tim Hewson (ECMWF)
15m
15:3015:45
Tropical cyclone detection through machine learning
Speaker: Antonino Bonanni (ECMWF)
15m
15:4516:00
Using machine learning to predict fire-ignition occurrences from lightning forecasts
Speaker: Francesca Di Giuseppe (ECMWF)
15m
16:0016:15
Discussions
15m
Friday, 16 April
Examples of ML weather related applications and final discussion
Chair: Florian Pappenberger (ECMWF)
13:0013:15
Stochastic downscaling to convective scales using Gaussian random fields
Speaker: Rachel Prudden (Met Office)
15m
13:1513:30
Hierarchical Clustering technique to address the double penalty issue in high-resolution EPS rainfall forecasts
Speaker: Tiziana Comito (Met Eireann)
15m
13:3013:45
HIDRA 1.0: Deep-Learning-Based Ensemble Sea Level Forecasting in the Northern Adriatic
Speaker: Matjaž Ličer (Environmental Agency of Slovenia)
15m
13:4514:00
The WMO AI/ML Challenge for sub-seasonal to seasonal prediction
Speaker: Frederic Vitart (ECMWF)
15m
14:0014:15
Coffee break
15m
14:1515:45
Breakout Groups
1h 30m
15:4516:15
Plenary discussions
30m

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