14 citations · 14 across the 3 of their papers we have counts for
3 papers
physics.ao-ph2026
Enabling High-Accuracy Data Assimilation with Limited Ensembles via Machine Learning-Based Covariance Correction
Zhou Yao, Zhilin Li, Li Zhao +4
Data assimilation (DA) integrates numerical model forecasts with observations to achieve the optimal state estimation. Ensemble-based methods, such as the ensemble Kalman filter (E…
cs.LG2025
Small Ensemble-based Data Assimilation: A Machine Learning-Enhanced Data Assimilation Method with Limited Ensemble Size
Zhilin Li, Zhou Yao, Xianglong Li +5
Ensemble-based data assimilation (DA) methods have become increasingly popular due to their inherent ability to address nonlinear dynamic problems. However, these methods often fac…
physics.flu-dyn2022★ 14 cited
Phase-resolved ocean wave forecast with simultaneous current estimation through data assimilation
Guangyao Wang, Jinfeng Zhang, Yuxiang Ma +3
In Wang & Pan (J. Fluid Mech., vol. 918, A19, 2021), the authors developed the first ensemble-based data assimilation (DA) capability for the reconstruction and forecast of ocean s…