187 citations · 244 across the 4 of their papers we have counts for
4 papers
A Novel Framework for Spatio-Temporal Prediction of Environmental Data Using Deep Learning
Federico Amato, Fabian Guignard, Sylvain Robert +1
As the role played by statistical and computational sciences in climate and environmental modelling and prediction becomes more important, Machine Learning researchers are becoming…
A local ensemble transform Kalman particle filter for convective scale data assimilation
Sylvain Robert, Daniel Leuenberger, Hans R. Künsch
Ensemble data assimilation methods such as the Ensemble Kalman Filter (EnKF) are a key component of probabilistic weather forecasting. They represent the uncertainty in the initial…
Localization in High-Dimensional Monte Carlo Filtering
Sylvain Robert, Hans R. Künsch
The high dimensionality and computational constraints associated with filtering problems in large-scale geophysical applications are particularly challenging for the Particle Filte…
Localizing the Ensemble Kalman Particle Filter
Sylvain Robert, Hans R. Künsch
Ensemble methods such as the Ensemble Kalman Filter (EnKF) are widely used for data assimilation in large-scale geophysical applications, as for example in numerical weather predic…