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Aseel Farhat
Researcher at University of Virginia
Publications - 38
Citations - 741
Aseel Farhat is an academic researcher from University of Virginia. The author has contributed to research in topics: Vorticity & Data assimilation. The author has an hindex of 13, co-authored 33 publications receiving 550 citations. Previous affiliations of Aseel Farhat include Indiana University & Florida State University.
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Continuous data assimilation for the 2D Bénard convection through velocity measurements alone
TL;DR: In this article, an algorithm for continuous data assimilation for the two-dimensional Benard convection problem is introduced and analyzed, which is inspired by the data-assimilation algorithm developed for the Navier-Stokes equations, which allows for the implementation of variety of observables: low Fourier modes, nodal values, finite volume averages, and finite elements.
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Data assimilation algorithm for 3D Bénard convection in porous media employing only temperature measurements
TL;DR: In this article, the authors proposed a continuous data assimilation (downscaling) algorithm for the Benard convection in porous media using only discrete spatial-mesh measurements of the temperature.
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Abridged continuous data assimilation for the 2D Navier-Stokes equations utilizing measurements of only one component of the velocity field
TL;DR: In this paper, a continuous data assimilation (downscaling) algorithm for the 2D Navier-Stokes equations employing coarse mesh measurements of only one component of the velocity field is introduced.
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Continuous Data Assimilation for a 2D Bénard Convection System Through Horizontal Velocity Measurements Alone
TL;DR: In this paper, the authors proposed a continuous data assimilation (downscaling) algorithm for a two-dimensional Boussinesq convection problem, which incorporates the observables as a feedback (nudging) term in the evolution equation of the horizontal velocity.
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Abridged Continuous Data Assimilation for the 2D Navier–Stokes Equations Utilizing Measurements of Only One Component of the Velocity Field
TL;DR: In this paper, a continuous data assimilation (downscaling) algorithm for the 2D Navier-Stokes equations employing coarse mesh measurements of only one component of the velocity field is introduced.