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