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Ibrahim Hoteit

Associate Professor, Earth Science and Engineering
Physical Science and Engineering Division

ibrahim.hoteit@kaust.edu.sa
Earth Fluid Modeling and Prediction

Affiliations

Education Profile

  • ​​​Ph.D., Université Joseph Fourrier, Grenoble, France 1998 - 2002
  • M.S., Université Joseph Fourrier, Grenoble, France 1997 - 1998

Research Interests

Professor Hoteit's research focuses on the effective use and integration of dynamical models and observations to simulate, study and predict earth fluid systems. This involves developing and implementing numerical models and data inversion, assimilation, and uncertainty quantification techniques suitable for large scale applications. Current research projects include:
  • Modeling, understanding and predicting the Red Sea physics and biology
  • Predicting marine and weather extreme events (storm surge, flooding, tsunami)
  • Reservoir history matching.

Selected Publications

  • ​F. Yao, I. Hoteit, L. Pratt, A. Bower, P. Zhai, A. Kohl, and G. Gopalakrishnan: Seasonal overturning circulation in the Red Sea. Part-I: Model validation and summer circulation. Journal of Geophysical Research, doi:10.1002/2013JC009331, 2014.
  • F. Yao, I. Hoteit, L. Pratt, A. Bower, A. Kohl, G. Gopalakrishnan, and D. Rivas: Seasonal overturning circulation in the Red Sea. Part-II: Winter circulation. Journal of Geophysical Research, doi:10.1002/2013JC009004, 2014.
  • G. Triantafyllou, F. Yao, G. Petihakis, K. Tsiaras, D. Raitsos, and I. Hoteit: A 3D biophysical model to explore the ecosystem functioning of the Red Sea. Journal of Geophysical Research, doi:10.1002/2013JC009641, 2014.
  • M. Elgharamti, J. Valstar, and I. Hoteit: An adaptive hybrid EnKF-OI scheme for efficient state-parameter estimation of reactive contaminant transport models. Advances in Water Resources, 71, 1-15, 2014.
  • A. El-Sheikh, I. Hoteit, and M. Wheeler: Efficient Bayesian uncertainty quantification of subsurface flow models using nested sampling and sparse polynomial chaos surrogates. Computer Methods in Applied Mechanics and Engineering, 269, 515-537, 2014.
  • I. Hoteit, T. Hoar, G. Gopalakrishnan, J. Anderson, N. Collins, B. Cornuelle, A. Kohl, and P. Heimbach: A MITgcm/DART ocean prediction and analysis system with application to the Gulf of Mexico. Dynamics of Atmospheres and Oceans, 63, 1-23, 2013.
  • I. Hoteit, X. Luo and D.T. Pham: Particle Kalman filtering: A nonlinear Bayesian framework for ensemble Kalman filters. Monthly Weather Review, 140, 528-542, 2012.