66 citations · 139 across the 8 of their papers we have counts for
3 papers · 1 filter
Model Training, Data Assimilation, and Forecast Experiments with a Hybrid Atmospheric Model that Incorporates Machine Learning
Dylan Elliott, Troy Arcomano, Istvan Szunyogh +1
The hybrid model combines the physics-based primitive-equations model SPEEDY with a machine learning-based (ML-based) model component, while ERA5 reanalyses provide the presumed tr…
Ensemble regional data assimilation using joint states
Young-noh Yoon, Brian R. Hunt, Edward Ott +1
We propose a data assimilation scheme that produces the analyses for a global and an embedded limited area model simultaneously, considering forecast information from both models.…
On the propagation of information and the use of localization in ensemble Kalman filtering
Young-noh Yoon, Edward Ott, Istvan Szunyogh
Several localized versions of the ensemble Kalman filter have been proposed. Although tests applying such schemes have proven them to be extremely promising, a full basic understan…