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)
13:00 → 13:15
A toy model to investigate stability of AI-based dynamical systems
Speaker: Blanka Balogh (Météo-France)
Balogh_ECMWF_140621.pdf
15m
13:15 → 13:30
Leveraging Machine Learning for Model Error Estimation and Correction
Speaker: Massimo Bonavita (ECMWF)
15m
13:30 → 13:45
TL/AD generation for machine learning emulators
Speaker: Sam Hatfield (ECMWF)
15m
13:45 → 14:00
Probabilistic forecasting with Bernstein quantile distributions and neural networks
Speaker: John Bjørnar Bremnes (Norwegian Meteorological Institute)
15m
14:00 → 14:15
Sequential aggregation of probabilistic forecasts – applications to wind speed ensemble Forecasts
Speaker: Michael Zamo (Météo-France)
15m
14:15 → 14:30
Discussion
15m
14:30 → 14:45
Break
15m
Session 2
Chair: Matthew Chantry (ECMWF)
14:45 → 15:00
The MeteoNet open weather dataset
Speaker: Gwennaëlle Larvor (Météo-France)
15m
15:00 → 15:15
Machine-learned Preconditioners for Linear Solvers of Semi-implicit Dynamical Cores
Speaker: Jan Ackmann (University of Oxford)
15m
15:15 → 15:30
Nonlinear Conditional Model Bias Estimation for Data Assimilation
Speaker: Roland Potthast (Deutscher Wetterdienst)
15m
15:30 → 15:45
Feedback on deep learning at Météo-France
Speaker: Lior Perez (Météo-France)
2021_06 Deep Learning ECMWF Workshop.pdf
15m
15:45 → 16:00
Empirical modelling of 2m temperature bias over land with machine learning
Speaker: Fenwick Cooper (ECMWF)
15m
16:00 → 16:15
Discussion
15m
Tuesday, 15 June
Session 3
Chair: Sam Hatfield (ECMWF)
13:00 → 13:15
An Artificial Intelligent look into the future of Weather Forecast, Climate Monitoring and Decadal Prediction
Speaker: Steven Dewitte (RMIB)
15m
13:15 → 13:30
Mapping of building heights for Ireland using Sentinel-1 and Sentinel-2 time series
Speaker: Eoghan Keany (Met Eireann)
15m
13:30 → 13:45
Precipitation Downscaling using a Conditional GAN
Speaker: Lucy Harris (University of Oxford)
15m
13:45 → 14:00
Deep Learning for cloud cover nowcasting;
Speaker: Léa Barthomier (Météo-France)
15m
14:00 → 14:15
Deep Learning Multimodal Method for Precipitation Estimation
Speaker: Arthur Moraux (Royal Meteorological Institute of Belgium)
15m
14:15 → 14:30
Discussion
15m
14:30 → 14:45
Break
15m
Session 4
Chair: Peter Dueben (ECMWF)
14:45 → 15:00
Toward a machine learning-based ice microphysics in ICON
Speaker: Axel Seifert (Deutscher Wetterdienst)
15m
15:00 → 15:15
Using explainable machine learning forecasts to discover drivers of high summer temperatures in western and central Europe
Speaker: Chiem van Straaten (KNMI)
15m
15:15 → 15:30
Estimating lockdown-induced European NO2 changes using satellite and surface observations and air quality models
Speaker: Vincent-Henri Peuch (ECMWF)
15m
15:30 → 15:45
Tru-net: A deep learning approach to high resolution prediction of rainfall
Speaker: Akanni Adewoyin (University of Warwick)
15m
15:45 → 16:15
Discussion
30m

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