206 citations · 966 across the 31 of their papers we have counts for
5 papers · 1 filter
Inferring the instability of a dynamical system from the skill of data assimilation exercises
Yumeng Chen, Alberto Carrassi, Valerio Lucarini
Data assimilation (DA) aims at optimally merging observational data and model outputs to create a coherent statistical and dynamical picture of the system under investigation. Inde…
Data assimilation for chaotic dynamics
Alberto Carrassi, Marc Bocquet, Jonathan Demaeyer +3
Chaos is ubiquitous in physical systems. The associated sensitivity to initial conditions is a significant obstacle in forecasting the weather and other geophysical fluid flows. Da…
Adaptive covariance inflation in the ensemble Kalman filter by Gaussian scale mixtures
Patrick N. Raanes, Marc Bocquet, Alberto Carrassi
This paper studies multiplicative inflation: the complementary scaling of the state covariance in the ensemble Kalman filter (EnKF). Firstly, error sources in the EnKF are catalogu…
Extending the square root method to account for additive forecast noise in ensemble methods
Patrick N. Raanes, Alberto Carrassi, Laurent Bertino
A square root approach is considered for the problem of accounting for model noise in the forecast step of the ensemble Kalman filter (EnKF) and related algorithms. The primary aim…
Accounting for model error due to unresolved scales within ensemble Kalman filtering
Lewis Mitchell, Alberto Carrassi
We propose a method to account for model error due to unresolved scales in the context of the ensemble transform Kalman filter (ETKF). The approach extends to this class of algorit…