5 papers · 1 filter
The Level Set Ensemble Kalman Filter: Sequential Data Assimilation for Flows With Shocks
Michael K. Sleeman, Lorenzo Beronilla, Hangchuan Hu +4
The ensemble Kalman filter is commonly used to perform sequential data assimilation in science and engineering because of its robust performance and scalability when the state spac…
Mitigating adjoint chaos in wall turbulence
Qi Wang, Tamer A. Zaki
Estimating past events in wall turbulence based solely on surface measurements and first principles is an ill-posed problem that is complicated by chaos. The sensitivity of a measu…
Neural ensemble Kalman filter: Data assimilation for compressible flows with shocks
Xu-Hui Zhou, Lorenzo Beronilla, Michael K. Sleeman +4
Data assimilation (DA) for compressible flows with shocks is challenging because many classical DA methods generate spurious oscillations and nonphysical features near uncertain sh…
Lagrangian Finite-Time Fluctuation Relation in isotropic turbulence
Hanxun Yao, Tamer A. Zaki, Charles Meneveau
The entropy generation rate in turbulence can be defined using the energy cascade rate as described in the scale-integrated Kolmogorov-Hill equation at a specified length scale. Th…
Analysis of inertial-range intermittency in forward and inverse cascade regions in isotropic turbulence
H. Yao, M. Schnaubelt, A. Lubonja +10
In order to test the hypothesis that inverse cascade regions in turbulent flows might exhibit more Gaussian noise-like and less intermittent small-scale statistics compared to the…