28 citations · 36 across the 4 of their papers we have counts for
4 papers
Representing the Surface Ocean in ECMWF's data-driven forecasting system AIFS
Sara Hahner, Lorenzo Zampieri, Jean-Raymond Bidlot +22
Machine-learning (ML) models, such as the AIFS at the ECMWF, have revolutionised weather forecasting in recent years. We present an extension of the AIFS that jointly models the at…
Multigrid sequential data assimilation for the large-eddy simulation of a massively separated bluff-body flow
Gabriel Moldovan, Alessandro Mariotti, Laurent Cordier +3
The potential for data-driven applications to scale-resolving simulations of turbulent flows is assessed herein. Multigrid sequential data assimilation algorithms have been used to…
Optimized parametric inference for the inner loop of the Multigrid Ensemble Kalman Filter
Gabriel Moldovan, Guillaume Lehnasch, Laurent Cordier +1
Essential features of the Multigrid Ensemble Kalman Filter (G. Moldovan, G. Lehnasch, L. Cordier, M. Meldi, A multigrid/ensemble Kalman filter strategy for assimilation of unsteady…
A multigrid/ensemble Kalman Filter strategy for assimilation of unsteady flows
Gabriel Moldovan, Guillame Lehnasch, Laurent Cordier +1
A sequential estimator based on the Ensemble Kalman Filter for Data Assimilation of fluid flows is presented in this research work. The main feature of this estimator is that the K…