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20152023
most citedA Review of Innovation-Based Methods to Jointly Estimate Model and Observation Error Covariance Matrices in Ensemble Data Assimilation

143 citations · 304 across the 12 of their papers we have counts for

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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…