Nested sampling algorithm for subsurface flow model selection, uncertainty quantification, and nonlinear calibration
Year: 2013
Authors: A. El-Sheikh, M. Wheeler, I. Hoteit
  • Contaminant Remediation
  • Efficient Sampling
  • Hydrocarbon Reservoir
  • Information Contents
  • Nonlinear Calibration
  • Posterior Distributions
  • Sampling Algorithm
  • Uncertainty Quantifications
Observation quality control with a robust ensemble Kalman filter
Year: 2013
Authors: S. Roh, M. Genton, M. Jun, I. Szunyogh, I. Hoteit
  • Ensemble Forecasting
  • Error Analysis
  • Kalman Filter
  • Numerical Model
  • Outlier
  • Quality Control
  • Statistical Analysis
Improving short-range ensemble Kalman storm surge forecasting using robust adaptive inflation
Year: 2013
Authors: U. Altaf, T. Butler, X. Luo, C. Dawson, T. Mayo, I. Hoteit
  • Climate Modeling
  • Climate Prediction
  • Data Assimilation
  • Ensemble Forecasting
  • Error Analysis
  • Hurricane Ike 2008
  • Hurricane Katrina 2005
  • Hydrodynamics
  • Kalman Filter
  • Storm Surge
Dual states estimation of a subsurface flow-contaminant coupled model using ensemble Kalman filtering
Year: 2013
Authors: M. Elgharamti, I. Hoteit, J. Valstar
  • Dual States Estimation
  • Ensemble Kalman Filter
  • Flow and Transport Coupled Models
  • Joint States Estimation
Covariance inflation in the ensemble Kalman filter: A residual nudging perspective and some implications
Year: 2013
Authors: X. Luo, I. Hoteit
  • Filtering Techniques
  • Kalman Filters
Remote sensing the phytoplankton seasonal succession of the Red Sea
Year: 2013
Authors: D. Raitsos, P. Pradhan, R. Brewin, G. Stenchikov, I. Hoteit
  • Chlorophyll
  • Coral Reefs
  • Indian Ocean
  • Phytoplankton
  • Remote Sensing Technology
  • Seasons
  • Seawater
  • Spacecraft
An adaptive adjoint-based ensemble Kalman filter
Year: 2013
Authors: H. Song, I. Hoteit, B. Cornuelle, X. Luo, A. Subramanian
  • Data Assimilation
  • Ensembles
  • Filtering Techniques
  • Kalman Filters
  • Optimization
  • Variational Analysis
State estimates and forecasts of the loop current in the Gulf of Mexico using the MITgcm and its adjoint
Year: 2013
Authors: G. Gopalakrishnan, B. Cornuelle, I. Hoteit, D. Rudnick, W. Brechner
  • Gulf of Mexico
  • Hindcast and Forecast
  • Loop Current
  • MITgcm
  • Ocean Modeling
  • State Estimation
Adjoint sensitivity studies of loop current and eddy shedding in the Gulf of Mexico using the MITgcm and its adjoint
Year: 2013
Authors: G. Gopalakrishnan, B. Cornuelle, I. Hoteit
  • Adjoint Sensitivity
  • Gulf of Mexico
  • Hindcast/forecast
  • Loop Current
  • MIT General Circulation Model
  • State Estimation
Estimation of the drag coefficient from the upper ocean response to a hurricane: a variational data assimilation approach
Year: 2013
Authors: S. Zedler, G. Kanschat, I. Hoteit, R. Korty
  • Drag Coefficient Adjustment
  • Hurricane
  • Mixed Layer Dynamics
  • Ocean Response to a Hurricane
  • Tropical Cyclone
  • Upper Ocean Processes
Clustered iterative stochastic ensemble method for multi-modal calibration of subsurface flow models
Year: 2013
Authors: A. El-Sheikh, M. Wheeler, I. Hoteit
  • K-means Clustering
  • Multi-modal Optimization
  • Parameter Estimation
  • Regularization
  • Subsurface Flow Models
Comparison of chlorophyll in the Red Sea derived from MODIS-Aqua and in vivo fluorescence
Year: 2013
Authors: R. Brewin, D. Raitsos, Y. Pradhan, I. Hoteit
  • Chlorophyll
  • Comparison
  • Ocean Colour
  • Phytoplankton
  • Red Sea
  • Remote Sensing
Efficient particle filtering through residual nudging
Year: 2013
Authors: X. Luo, I. Hoteit
  • Data Assimilation
  • Particle Filter
  • Residual Nudging
Sparse calibration of subsurface flow models using a stochastic ensemble method
Year: 2013
Authors: A. El-Sheikh, M. Wheeler, I Hoteit
  • Iterative Stochastic Ensemble Method
  • Orthogonal Matching Pursuit
  • Parameter Estimation
  • Sparse Regularization
  • Subsurface Flow Models
Boosting iterative stochastic ensemble method for nonlinear calibration of subsurface flow models
Year: 2013
Authors: A. El-Sheikh, R. Tavakoli, M. Wheeler, I. Hoteit
  • Boosting
  • Gaussian Process Regression
  • Iterative Stochastic Ensemble Method
  • Karhunen-Loève Expansion
  • Parameter Estimation
  • Subsurface Flow Models
A MITgcm/DART ocean prediction and analysis system with application to the Gulf of Mexico
Year: 2013
Authors: I. Hoteit, T. Hoar, G. Gopalakrishnan, J. Anderson, N. Collins, B. Cornuelle, A. Kohl, P. Heimbach
  • Data Assimilation
  • Ensemble Kalman Filter
  • Gulf of Mexico
  • Ocean State Estimation
A iterative stochastic ensemble method for parameter estimation of subsurface flow models
Year: 2013
Authors: A. El-Sheikh, M. Wheeler, I. Hoteit
  • Iterative Stochastic Ensemble Method
  • Parameter Estimation
  • Regularization
  • Subsurface Flow Models
Atmospheric forcing of the winter air-sea heat fluxes over the northern Red Sea
Year: 2013
Authors: V. Papadopoulos, Y. AbuAlnaja, A. Bower, D. Raitsos, H. Kontoyiannis, I. Hoteit
  • Air-sea Interaction
  • Extreme Events
  • Forcing
  • Surface Fluxes
  • Trends
Assessing a robust ensemble-based Kalman filter for efficient ecosystem data assimilation of the Cretan Sea
Year: 2013
Authors: G. Triantafyllou, I. Hoteit, X. Luo, K. Tsiara, G. Petihakis
  • Coupled Biophysical Models
  • Data Assimilation
  • Ensemble Kalman Filtering
  • H Infinity Filter
  • Kalman Filter
A reduced adjoint approach to variational data assimilation
Year: 2013
Authors: U. Altaf, M. Algharamti, A. Heemink, I. Hoteit
  • 4DVAR
  • Model Order Reduction
  • Proper Orthogonal Decomposition