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Ibrahim Hoteit

Professor, Earth Science and Engineering | Director, National Climate Change Center of Excellence

Physical Science and Engineering Division 
Center membership :
Extreme Computing

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


Affiliations

Education Profile

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

Research Interests

My research involves the effective use and integration of dynamical models and observations to simulate, study and predict realistic geophysical fluid systems. This involves developing and implementing numerical models and data inversion, assimilation, and uncertainty quantification techniques suitable for large scale applications. I am currently focusing on developing an integrated data-driven modeling system to simulate and predict the circulation and the climate of the Saudi marginal seas: the Red Sea and the Arabian Gulf.

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.