107 citations · 386 across the 22 of their papers we have counts for
4 papers · 1 filter
Downscaling the 2D Benard Convection Equations Using Continuous Data Assimilation
M. U. Altaf, E. S. Titi, O. M. Knio +3
We consider a recently introduced continuous data assimilation (CDA) approach for downscaling a coarse resolution configuration of the 2D Benard convection equations into a finer g…
A Bayesian Consistent Dual Ensemble Kalman Filter for State-Parameter Estimation in Subsurface Hydrology
Boujemaa Ait-El-Fquih, Mohamad El Gharamti, Ibrahim Hoteit
Ensemble Kalman filtering (EnKF) is an efficient approach to addressing uncertainties in subsurface groundwater models. The EnKF sequentially integrates field data into simulation…
Polynomial Chaos-based Bayesian Inference of K-Profile Parametrization in a General Circulation Model of the Tropical Pacific
Ihab Sraj, Sarah E. Zedler, Omar M. Knio +2
The authors present a Polynomial Chaos (PC)-based Bayesian inference method for quantifying the uncertainties of the K-Profile Parametrization (KPP) within the MIT General Circulat…
Coordinate Transformation and Polynomial Chaos for the Bayesian Inference of a Gaussian Process with Parametrized Prior Covariance Function
Ihab Sraj, Olivier P. Le Maître, Omar M. Knio +1
This paper addresses model dimensionality reduction for Bayesian inference based on prior Gaussian fields with uncertainty in the covariance function hyper-parameters. The dimensio…