activity
20072026
most citedCombining data assimilation and machine learning to emulate a dynamical model from sparse and noisy observations: a case study with the Lorenz 96 model

206 citations · 966 across the 31 of their papers we have counts for

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Showing 2018Show all

2 papers · 1 filter

stat.ME2018★ 143 cited

A Review of Innovation-Based Methods to Jointly Estimate Model and Observation Error Covariance Matrices in Ensemble Data Assimilation

Pierre Tandeo, Pierre Ailliot, Marc Bocquet +4

Data assimilation combines forecasts from a numerical model with observations. Most of the current data assimilation algorithms consider the model and observation error terms as ad…

physics.data-an2018★ 69 cited

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…