94 citations · 364 across the 9 of their papers we have counts for
3 papers · 1 filter
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…
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…
A dynamic nonstationary spatio-temporal model for short term prediction of precipitation
Fabio Sigrist, Hans R. Künsch, Werner A. Stahel
Precipitation is a complex physical process that varies in space and time. Predictions and interpolations at unobserved times and/or locations help to solve important problems in m…