activity
20122023
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 · 429 across the 12 of their papers we have counts for

collaborators
Showing 2015Show all

1 paper · 1 filter

physics.data-an2015★ 42 cited

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…