42 citations · 141 across the 10 of their papers we have counts for
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cs.LG2022★ 40 cited
Deep learning-enhanced ensemble-based data assimilation for high-dimensional nonlinear dynamical systems
Ashesh Chattopadhyay, Ebrahim Nabizadeh, Eviatar Bach +1
Data assimilation (DA) is a key component of many forecasting models in science and engineering. DA allows one to estimate better initial conditions using an imperfect dynamical mo…
stat.ME2022★ 42 cited
A multi-model ensemble Kalman filter for data assimilation and forecasting
Eviatar Bach, Michael Ghil
Data assimilation (DA) aims to optimally combine model forecasts and observations that are both partial and noisy. Multi-model DA generalizes the variational or Bayesian formulatio…