3 citations · 3 across the 3 of their papers we have counts for
4 papers
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…
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…
Greedy recursion parameter selection for one-way spatial integration of hyperbolic equations
Michael K. Sleeman, Tim Colonius
Solutions to hyperbolic systems comprise waves propagating at finite speeds. When wave propagation is predominantly unidirectional, one-way wave equations can be used to evolve onl…
Boundary layer stability analysis using the nonlinear One-Way Navier-Stokes approach
Michael K. Sleeman, Matthew T. Lakebrink, Tim Colonius
We extend the One-Way Navier Stokes (OWNS) approach to support nonlinear interactions between waves of different frequencies, which will enable nonlinear analysis of instability an…