Name: Follow-on event for the workshop on machine learning for numerical weather predictions and climate services for Member and Cooperating States
Start: 2021-06-14T09:00:00+01:00
End: 2021-06-15T17:15:00+01:00
Location: No location set

A toy model to investigate stability of AI-based dynamical systems (in session "Session 1")

An Artificial Intelligent look into the future of Weather Forecast, Climate Monitoring and Decadal Prediction (in session "Session 3")

Deep Learning for cloud cover nowcasting; (in session "Session 3")

Deep Learning Multimodal Method for Precipitation Estimation (in session "Session 3")

Discussion (in session "Session 1")

Discussion (in session "Session 2")

Discussion (in session "Session 3")

Discussion (in session "Session 4")

Empirical modelling of 2m temperature bias over land with machine learning (in session "Session 2")

Estimating lockdown-induced European NO2 changes using satellite and surface observations and air quality models (in session "Session 4")

Feedback on deep learning at Météo-France (in session "Session 2")

Leveraging Machine Learning for Model Error Estimation and Correction (in session "Session 1")

Machine-learned Preconditioners for Linear Solvers of Semi-implicit Dynamical Cores (in session "Session 2")

Mapping of building heights for Ireland using Sentinel-1 and Sentinel-2 time series (in session "Session 3")

Nonlinear Conditional Model Bias Estimation for Data Assimilation (in session "Session 2")

Precipitation Downscaling using a Conditional GAN (in session "Session 3")

Probabilistic forecasting with Bernstein quantile distributions and neural networks (in session "Session 1")

Sequential aggregation of probabilistic forecasts – applications to wind speed ensemble Forecasts (in session "Session 1")

The MeteoNet open weather dataset (in session "Session 2")

TL/AD generation for machine learning emulators (in session "Session 1")

Toward a machine learning-based ice microphysics in ICON (in session "Session 4")

Tru-net: A deep learning approach to high resolution prediction of rainfall (in session "Session 4")

Using explainable machine learning forecasts to discover drivers of high summer temperatures in western and central Europe (in session "Session 4")

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

Material Package