Random Forest surrogates trained on Ensemble Kalman Filter outputs reproduce the filter's state estimation and IBM calibration for a turbulent channel flow at Re_tau~550, at lower runtime cost.
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Enhanced State Estimation for turbulent flows combining Ensemble Data Assimilation and Machine Learning
Random Forest surrogates trained on Ensemble Kalman Filter outputs reproduce the filter's state estimation and IBM calibration for a turbulent channel flow at Re_tau~550, at lower runtime cost.