Data Assimilation (DA) and Uncertainty quantification (UQ) are extensive...
Variational data assimilation and deep learning share many algorithmic
a...
Progress within physical oceanography has been concurrent with the incre...
Short or mid-term rainfall forecasting is a major task for several
envir...
In recent years, machine learning (ML) has been proposed to devise
data-...
The reconstruction from observations of high-dimensional chaotic dynamic...
A novel method, based on the combination of data assimilation and machin...
In numerical modeling of the Earth System, many processes remain unknown...
We consider the problem of forecasting complex, nonlinear space-time
pro...