output
20062024
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

researchers with a paper here
collaborating institutions
Showing 2017Show all

2 papers · 1 filter

physics.geo-ph2017★ 34 cited

Fault orientation in damage failure under compression

Véronique Dansereau, Vincent Démery, Estelle Berthier +2

The Mohr-Coulomb criterion is widely used in geosciences to relate the state of stress at failure to the observed orientation of the resulting faults. This relation is based on the…

physics.ao-ph2017★ 70 cited

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…