Follow-on event for the workshop on machine learning for numerical weather predictions and climate services for Member and Cooperating States

Monday, 14 June
Session 1
Chair: Peter Dueben (ECMWF)
1:00 PM 1:15 PM
A toy model to investigate stability of AI-based dynamical systems
Speaker: Blanka Balogh (Météo-France)
15m
1:15 PM 1:30 PM
Leveraging Machine Learning for Model Error Estimation and Correction
Speaker: Massimo Bonavita (ECMWF)
15m
1:30 PM 1:45 PM
TL/AD generation for machine learning emulators
Speaker: Sam Hatfield (ECMWF)
15m
1:45 PM 2:00 PM
Probabilistic forecasting with Bernstein quantile distributions and neural networks
Speaker: John Bjørnar Bremnes (Norwegian Meteorological Institute)
15m
2:00 PM 2:15 PM
Sequential aggregation of probabilistic forecasts – applications to wind speed ensemble Forecasts
Speaker: Michael Zamo (Météo-France)
15m
2:15 PM 2:30 PM
Discussion
15m
2:30 PM 2:45 PM
Break
15m
Session 2
Chair: Matthew Chantry (ECMWF)
2:45 PM 3:00 PM
The MeteoNet open weather dataset
Speaker: Gwennaëlle Larvor (Météo-France)
15m
3:00 PM 3:15 PM
Machine-learned Preconditioners for Linear Solvers of Semi-implicit Dynamical Cores
Speaker: Jan Ackmann (University of Oxford)
15m
3:15 PM 3:30 PM
Nonlinear Conditional Model Bias Estimation for Data Assimilation
Speaker: Roland Potthast (Deutscher Wetterdienst)
15m
3:30 PM 3:45 PM
Feedback on deep learning at Météo-France
Speaker: Lior Perez (Météo-France)
15m
3:45 PM 4:00 PM
Empirical modelling of 2m temperature bias over land with machine learning
Speaker: Fenwick Cooper (ECMWF)
15m
4:00 PM 4:15 PM
Discussion
15m
Tuesday, 15 June
Session 3
Chair: Sam Hatfield (ECMWF)
1:00 PM 1:15 PM
An Artificial Intelligent look into the future of Weather Forecast, Climate Monitoring and Decadal Prediction
Speaker: Steven Dewitte (RMIB)
15m
1:15 PM 1:30 PM
Mapping of building heights for Ireland using Sentinel-1 and Sentinel-2 time series
Speaker: Eoghan Keany (Met Eireann)
15m
1:30 PM 1:45 PM
Precipitation Downscaling using a Conditional GAN
Speaker: Lucy Harris (University of Oxford)
15m
1:45 PM 2:00 PM
Deep Learning for cloud cover nowcasting;
Speaker: Léa Barthomier (Météo-France)
15m
2:00 PM 2:15 PM
Deep Learning Multimodal Method for Precipitation Estimation
Speaker: Arthur Moraux (Royal Meteorological Institute of Belgium)
15m
2:15 PM 2:30 PM
Discussion
15m
2:30 PM 2:45 PM
Break
15m
Session 4
Chair: Peter Dueben (ECMWF)
2:45 PM 3:00 PM
Toward a machine learning-based ice microphysics in ICON
Speaker: Axel Seifert (Deutscher Wetterdienst)
15m
3:00 PM 3:15 PM
Using explainable machine learning forecasts to discover drivers of high summer temperatures in western and central Europe
Speaker: Chiem van Straaten (KNMI)
15m
3:15 PM 3:30 PM
Estimating lockdown-induced European NO2 changes using satellite and surface observations and air quality models
Speaker: Vincent-Henri Peuch (ECMWF)
15m
3:30 PM 3:45 PM
Tru-net: A deep learning approach to high resolution prediction of rainfall
Speaker: Akanni Adewoyin (University of Warwick)
15m
3:45 PM 4:15 PM
Discussion
30m

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