13 citations · 14 across the 3 of their papers we have counts for
3 papers
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…
Machine learning with data assimilation and uncertainty quantification for dynamical systems: a review
Sibo Cheng, Cesar Quilodran-Casas, Said Ouala +14
Data Assimilation (DA) and Uncertainty quantification (UQ) are extensively used in analysing and reducing error propagation in high-dimensional spatial-temporal dynamics. Typical a…
Two-dimensional structure functions to characterize convective rolls in the marine atmospheric boundary layer from Sentinel-1 SAR images
Carlos Granero-Belinchon, Stéphane G. Roux, Nicolas B. Garnier +3
We study the shape of convective rolls in the Marine Atmospheric Boundary Layer from Synthetic Aperture Radar images of the ocean. We propose a multiscale analysis with structure f…