206 citations · 1.5k across the 29 of their papers we have counts for
4 papers · 1 filter
On temporal scale separation in coupled data assimilation with the ensemble Kalman filter
Maxime Tondeur, Alberto Carrassi, Stephane Vannitsem +1
Coupled data assimilation (CDA) distinctively appears as a main concern in numerical weather and climate prediction with major efforts put forward worldwide. The core issue is the…
An iterative ensemble Kalman filter in presence of additive model error
Pavel Sakov, Jean-Matthieu Haussaire, Marc Bocquet
The iterative ensemble Kalman filter (IEnKF) in a deterministic framework was introduced in Sakov et al. (2012) to extend the ensemble Kalman filter (EnKF) and improve its performa…
Stochastic parameterization identification using ensemble Kalman filtering combined with expectation-maximization and Newton-Raphson maximum likelihood methods
Manuel Pulido, Pierre Tandeo, Marc Bocquet +2
For modelling geophysical systems, large-scale processes are described through a set of coarse-grained dynamical equations while small-scale processes are represented via parameter…
Data Assimilation in the Geosciences - An overview on methods, issues and perspectives
Alberto Carrassi, Marc Bocquet, Laurent Bertino +1
We commonly refer to state-estimation theory in geosciences as data assimilation. This term encompasses the entire sequence of operations that, starting from the observations of a…