output
20152026
most citedEstimating model evidence using data assimilation

35 citations

researchers with a paper here

Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.

collaborating institutions
Showing 2023Show all

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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…