Works matching AU Knio, Omar M.
Results: 22
Risk-Averse Stochastic Programming vs. Adaptive Robust Optimization: A Virtual Power Plant Application.
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- INFORMS Journal on Computing, 2022, v. 34, n. 3, p. 1795, doi. 10.1287/ijoc.2022.1157
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Design analysis for optimal calibration of diffusivity in reactive multilayers.
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- Combustion Theory & Modelling, 2017, v. 21, n. 6, p. 1023, doi. 10.1080/13647830.2017.1329938
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Regime of validity of a spatially homogenised reaction model for multilayered particles.
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- Combustion Theory & Modelling, 2015, v. 19, n. 3, p. 329, doi. 10.1080/13647830.2015.1026400
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Response of stoichiometric and rich premixed methane–air flames to unsteady strain rate and curvature.
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- Combustion Theory & Modelling, 1999, v. 3, n. 4, p. 709, doi. 10.1088/1364-7830/3/4/306
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Surrogate-based parameter inference in debris flow model.
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- Computational Geosciences, 2018, v. 22, n. 6, p. 1447, doi. 10.1007/s10596-018-9765-1
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NUMERICAL STUDY OF THERMOACOUSTIC HEAT EXCHANGERS IN THE THIN PLATE LIMIT.
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- Numerical Heat Transfer: Part A -- Applications, 2001, v. 40, n. 5, p. 445, doi. 10.1080/10407780152619784
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NUMERICAL STUDY OF OSCILLATORY FLOW AND HEAT TRANSFER IN A LOADED THERMOACOUSTIC STACK.
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- Numerical Heat Transfer: Part A -- Applications, 1999, v. 35, n. 1, p. 49, doi. 10.1080/104077899275362
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Quantifying uncertainty in Gulf of Mexico forecasts stemming from uncertain initial conditions.
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- Journal of Geophysical Research. Oceans, 2016, v. 121, n. 7, p. 4819, doi. 10.1002/2015JC011573
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Propagation of uncertainty and sensitivity analysis in an integral oil-gas plume model.
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- Journal of Geophysical Research. Oceans, 2016, v. 121, n. 5, p. 3488, doi. 10.1002/2015JC011365
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An overview of uncertainty quantification techniques with application to oceanic and oil-spill simulations.
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- Journal of Geophysical Research. Oceans, 2016, v. 121, n. 4, p. 2789, doi. 10.1002/2015JC011366
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A framework to quantify uncertainty in simulations of oil transport in the ocean.
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- Journal of Geophysical Research. Oceans, 2016, v. 121, n. 4, p. 2058, doi. 10.1002/2015JC011311
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Spectral and hyper eddy viscosity in high-Reynolds-number turbulence.
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- Journal of Fluid Mechanics, 2000, v. 421, p. 307, doi. 10.1017/s0022112000001671
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Numerical simulations of large-amplitude internal solitary waves.
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- Journal of Fluid Mechanics, 1998, v. 362, p. 53, doi. 10.1017/s0022112098008799
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Asymptotic vorticity structure and numerical simulation of slender vortex filaments.
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- Journal of Fluid Mechanics, 1995, v. 284, n. 1, p. 275, doi. 10.1017/S002211209500036X
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Uncertainty Propagation in Coupled Atmosphere–Wave–Ocean Prediction System: A Study of Hurricane Earl (2010).
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- Monthly Weather Review, 2019, v. 147, n. 1, p. 221, doi. 10.1175/MWR-D-17-0371.1
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Polynomial Chaos-Based Bayesian Inference of K-Profile Parameterization in a General Circulation Model of the Tropical Pacific.
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- Monthly Weather Review, 2016, v. 144, n. 12, p. 4621, doi. 10.1175/MWR-D-15-0394.1
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Drag Parameter Estimation Using Gradients and Hessian from a Polynomial Chaos Model Surrogate.
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- Monthly Weather Review, 2014, v. 142, n. 2, p. 933, doi. 10.1175/MWR-D-13-00087.1
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Bayesian Inference of Drag Parameters Using AXBT Data from Typhoon Fanapi.
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- Monthly Weather Review, 2013, v. 141, n. 7, p. 2347, doi. 10.1175/MWR-D-12-00228.1
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A second-order accurate numerical scheme for a time-fractional Fokker–Planck equation.
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- IMA Journal of Numerical Analysis, 2023, v. 43, n. 4, p. 2115, doi. 10.1093/imanum/drac031
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Bayesian inference of earthquake rupture models using polynomial chaos expansion.
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- Geoscientific Model Development Discussions, 2018, p. 1, doi. 10.5194/gmd-2018-4
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Bayesian inference of earthquake rupture models using polynomial chaos expansion.
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- Geoscientific Model Development, 2018, v. 11, n. 7, p. 3071, doi. 10.5194/gmd-11-3071-2018
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Regime of Validity of Soundproof Atmospheric Flow Models.
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- Journal of the Atmospheric Sciences, 2010, v. 67, n. 10, p. 3226, doi. 10.1175/2010JAS3490.1
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