# Coarsening # Computational Modeling # Fidelity # Orthogonal Functions # Shallow Water Equations
Physics & Astronomy
# Orthogonal Functions # Shallow Water
Earth & Environmental Sciences
# Shallow-Water Equation
Ephrati, S. R. (2023). Data-driven Stochastic Modeling for Coarsened Computational Geophysical Fluid Dynamics. [PhD Thesis - Research UT, graduation UT, University of Twente]. University of Twente. https://doi.org/10.3990/1.9789036557030
Ephrati, S. R. , Cifani, P., Luesink, E. , & Geurts, B. J. (2023). Data‐Driven Stochastic Lie Transport Modeling of the 2D Euler Equations. Journal of Advances in Modeling Earth Systems, 15(1), Article e2022MS003268. https://doi.org/10.1029/2022MS003268
Viviani, M., Modin, K. , Cifani, P. , Ephrati, S. R. , & Geurts, B. J. (2022). Coarse-grained modelling via canonical scale separation in 2D incompressible hydrodynamics. In DLES 13: 13th ERCOFTAC Workshop on Direct & Large Eddy Simulation, 26-28 October 2022, Udine, Italy ERCOFTAC.
Ephrati, S. R. , Cifani, P. , & Geurts, B. J. (2022). Stochastic data-driven POD-based modeling for high-fidelity coarsening of two-dimensional Rayleigh-Bénard turbulence. Manuscript in preparation. In DLES 13: 13th ERCOFTAC Workshop on Direct & Large Eddy Simulation, 26-28 October 2022, Udine, Italy ERCOFTAC.
Ephrati, S. R., Luesink, E., Wimmer, G. , Cifani, P. , & Geurts, B. J. (2022). Computational modeling for high-fidelity coarsening of shallow water equations based on subgrid data. Multiscale Modeling and Simulation, 20(4). https://doi.org/10.1137/21M1452871
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Courses Academic Year 2023/2024
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