19 citations · 19 across the 2 of their papers we have counts for
2 papers
physics.ao-ph2023
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…
cs.LG2021★ 19 cited
Evaluation of Machine Learning Techniques for Forecast Uncertainty Quantification
Maximiliano A. Sacco, Juan J. Ruiz, Manuel Pulido +1
Ensemble forecasting is, so far, the most successful approach to produce relevant forecasts with an estimation of their uncertainty. The main limitations of ensemble forecasting ar…