188 citations · 511 across the 15 of their papers we have counts for
3 papers · 1 filter
Online machine-learning forecast uncertainty estimation for sequential data assimilation
Maximiliano A. Sacco, Manuel Pulido, Juan J. Ruiz +1
Quantifying forecast uncertainty is a key aspect of state-of-the-art numerical weather prediction and data assimilation systems. Ensemble-based data assimilation systems incorporat…
Coupling Oceanic Observation Systems to Study Mesoscale Ocean Dynamics
Gautier Cosne, Guillaume Maze, Pierre Tandeo
Understanding local currents in the North Atlantic region of the ocean is a key part of modelling heat transfer and global climate patterns. Satellites provide a surface signature…
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…