433 citations · 1.4k across the 21 of their papers we have counts for
Showing stat.MEShow all
2 papers · 1 filter
stat.ME2022★ 42 cited
A multi-model ensemble Kalman filter for data assimilation and forecasting
Eviatar Bach, Michael Ghil
Data assimilation (DA) aims to optimally combine model forecasts and observations that are both partial and noisy. Multi-model DA generalizes the variational or Bayesian formulatio…
stat.ME2017
Estimating model evidence using ensemble-based data assimilation with localization - The model selection problem
Sammy Metref, Alexis Hannart, Juan Ruiz +3
IIn recent years, there has been a growing interest in applying data assimilation (DA) methods, originally designed for state estimation, to the model selection problem. In this se…