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Total result(s) found: 22
  • The possibilities of compressed-sensing-based pre- Kirchhoff stack migration
    A. Al-Dawood, I. Hoteit, and T. Al-Khalifah
    Geophysics, 79(3), S113-S20, 2014
Compressed sensing; Geophysical prospecting; Problem solving; Reflection; Signal reconstruction
  • The Red Sea: a natural laboratory for wind and wave modeling
    S. Langodan, L. Cavaleri, L. Viswanadhapalli, and I. Hoteit
    Journal of Physical Oceanography, 44, 3139-3159, 2014
Atm/Ocean Structure/Phenomena; Circulation/Dynamics; Complex terrain; Geographic location/entity; Model evaluation/performance; Models and modeling; Orographic effects; Regional models; Wind; Wind waves
  • ​Uncertainty quantification and inference of Manning’s friction coefficient using DART Buoys during Tohoku Tsunami
    I. Sraj, K. Mandli, O. Knio, C. Dawson, and I. Hoteit
    Ocean Modelling, 83, 82-97, 2014
Bayesian inference; Manning's n friction coefficient; Polynomial Chaos; Sensitivity analysis; Tsunami
  • ​Ensemble Kalman filtering with a divided state-space strategy for coupled data assimilation problems
    X. Luo and I. Hoteit
    Monthly Weather Review, 142, 4542-4558, 2014
Bayesian methods; Filtering techniques; Kalman filters
  • EMSE: Synergizing EM and seismic data attributes for enhanced forecasts of reservoirs
    K. Katterbauer, I. Hoteit, and S. Sun
    Journal of Petroleum Science and Engineering, 122, 396-410, 2014
Electromagnetic tomography; EnKF; EnRML; Iterative EnKF; Reservoir history matching; Seismic imaging
  • ​Eddies in the Red Sea: A statistical and dynamical study
    P. Zhan, A. Subramanian, F. Yao, and I. Hoteit
    Journal of Geophysical Research, 119(6), 3909-3925, 2014
Dynamics; Eddy; Red Sea; SLA; Statistics
  • ​Ensemble Kalman filtering with residual nudging: An extension to nonlinear to state estimation problems with nonlinear observation operators
    X. Luo and I. Hoteit
    Monthly Weather Review, 142, 3696-3712, 2014
Ensemble Kalman filtering; Estimation problem; Observation operator
  • ​Metric of the 2-6 day sea-surface temperature response to wind stress in the Tropical Pacific and its sensitivity of the K-Profile Parameterization of vertical mixing
    B.M. Wagman, C.S. Jackson, F. Yao, S. Zedler, and I. Hoteit
    Ocean Modelling, 79, 54-64, 2014
Metrics; Mixing; Turbulence
  • ​A comparison of ensemble Kalman filters for storm surge assimilation
    U. Altaf, T. Butler, T. Mayo, X. Luo, C. Dawson, T. Mayo, A.W. Heemink, and I. Hoteit
    Monthly Weather Review, 142, 2899-2914, 2014
Floods; Stochastic models; Stochastic systems; Storms
  • ​Ovis: A framework for visual analysis of ocean forecast ensembles
    T. Höllt, A. Magdy, P. Zhan, G. Chen, G. Gopalakrishnan, I. Hoteit, C.D. Hansen, and M. Hadwiger
    IEEE Transactions on Visualization and Computer Graphics, 20, 1114-1126, 2014
Ensemble visualization; Ocean forecast; Ocean visualization; Risk estimation
  • An adaptive hybrid EnKF-OI scheme for efficient state-parameter estimation of reactive contaminant transport models
    M. Elgharamti, J. Valstar, and I. Hoteit
    Advances in Water Resources, 71, 1-15, 2014
Contaminant transport modeling; Ensemble Kalman filter (EnKF); Hybrid EnKF-OI; Optimal interpolation (OI); State-parameter estimation
  • Data assimilation within the advanced circulation (ADCIRC) modeling framework for the estimation of Manning’s friction coefficient
    T. Mayo, C. Dawson, T. Buttler, and I. Hoteit
    Ocean Modelling, 76, 43-58, 2014
Bottom stress; Data assimilation; Manning's n; Parameter estimation; SEIK filter; Shallow water equations
  • Exploring the Red Sea seasonal ecosystem functioning using a three-dimensional biophysical model
    G. Triantafyllou, F. Yao, G. Petihakis, K. Tsiaras, D. Raitsos, and I. Hoteit
    Journal of Geophysical Research, Volume 119, Issue 3, Pages 1791–1811, 2014
Coupled physical - biochemical modeling; Ecosystem model; Red Sea
  • ​Seasonal overturning circulation in the Red Sea. Part-I: Model validation and summer circulation
    F. Yao, I. Hoteit, L. Pratt, A. Bower, P. Zhai, A. Kohl, and G. Gopalakrishnan
    Journal of Geophysical Research, Volume 119, Issue 4, Pages 2238–2262, 2014
MITgcm; overturning; Red Sea
  • ​Seasonal overturning circulation in the Red Sea. Part-II: Winter circulation
    F. Yao, I. Hoteit, L. Pratt, A. Bower, A. Kohl, G. Gopalakrishnan, and D. Rivas
    Journal of Geophysical Research, Volume 119, Issue 4, Pages 2263–2289, 2014
MITgcm; overturning; Red Sea
  • ​From silk to satellite; a half century of ocean colour changes in the Northeast Atlantic
    D. Raitsos, P. Yaswant, S. J. Lavender, I. Hoteit, A. McQuatters-Gollop, P.C. Reid, and A.J. Richardson
    Global Change Biology, Volume 20, Issue 7, Pages 2117-2123, 2014
Chlorophyll; Northeast Atlantic; Northern hemisphere temperature; Ocean colour; Phytoplankton variability
  • ​A nested sampling particle filter for nonlinear data assimilation
    A. El-Sheikh, I. Hoteit, and M. Wheeler
    Quarterly Journal of the Royal Meteorological Society, Volume 140, Issue 682, Part A, Pages 1640–1653, 2014
Nested sampling; Particle filters; Sequential data assimilation
  • ​Constraining a compositional flow model with flow-chemical data using an ensemble Kalman filter
    M. Elgharamti, A. Kadoura, S. Sun, J. Valstar, and I. Hoteit
    Water Resources Research, Volume 50, Issue 3, Pages 2444–2467, 2014
Chemical composition data; Compositional flow models; Ensemble Kalman filtering; Joint and dual updating schemes; State and parameter estimation
  • Efficient Bayesian inference of subsurface flow models using nested sampling and sparse polynomial chaos surrogates
    A. El-Sheikh, I. Hoteit, and M. Wheeler
    Computer Methods in Applied Mechanics and Engineering, 269, 515-537, 2014
Least Angle Regression; Nested sampling; Polynomial chaos expansion; Sparsity promoting regularization; Subsurface flow models
  • Complex step based low-rank extended Kalman filtering for state-parameter estimation of subsurface transport models
    M. Elgharamti, and I. Hoteit
    Journal of Hydrology, 509, 588-600, 2014
Complex step approximation; Joint state-parameter estimation; Low-rank extended Kalman filtering; Subsurface contaminant transport
  • Hybrid nested sampling algorithm for Bayesian model selection applied to inverse subsurface flow problems
    A. El-Sheikh, M. Wheeler, and I. Hoteit
    Journal of Computational Physics, 258, 319-377, 2014
Bayesian model comparison; Hybrid Monte Carlo; Nested sampling; Stochastic ensemble method; Subsurface flow models; Uncertainty quantification
  • ​Low-complexity wireless monitoring of respiratory movements using ultra-wideband response estimation
    F. Sana, T. Ballal, T. Al-Naffouri, and I. Hoteit
    IEEE Transactions on Instrumentation and Measurements, 10(1), 192-200, 2014
Background clutter; High sampling rates; Low signal-to-noise ratio; Novel methodology; Respiratory movement; Respiratory signals; Ultra-wideband channels; Wireless monitoring