Biblio
Filtre: Forfatter er Ibrahim Hoteit [Slett Alle Filtre]
A One-Step-Ahead Smoothing-Based Joint Ensemble Kalman Filter for State-Parameter Estimation of Hydrological Models. Lecture Notes in Computer Science (LNCS) 8964, (2015). Abstract
Observational needs for improving ocean and coupled reanalysis, S2S Prediction, and decadal prediction. Frontiers in Marine Science 6:391, (2019).
Mitigating Observation Perturbation Sampling Errors in the Stochastic EnKF. Monthly Weather Review 143, (2015). Abstract
An iterative ensemble Kalman filter with one-step-ahead smoothing for state-parameters estimation of contaminant transport models. Journal of Hydrology 527, (2015). Abstract
A Greedy Approach for Placement of Subsurface Aquifer Wells in an Ensemble Filtering Framework. Lecture Notes in Computer Science (LNCS) 8964, (2015). Abstract
On the efficiency of the hybrid and the exact second-order sampling formulations of the EnKF: A reality-inspired 3D test case for estimating biodegradation rates of chlorinated hydrocarbons at the port of Rotterdam. Hydrology and Earth System Sciences (HESS) 20, (2016). Abstract
A Bayesian consistent dual ensemble Kalman filter for state-parameter estimation in subsurface hydrology. Hydrology and Earth System Sciences (HESS) 20, (2016). Abstract
Assessing clustering strategies for Gaussian mixture filtering a subsurface contaminant model. Journal of Hydrology 535, (2016). Abstract
