Habib Toye Mahamadou Kele

ALUMNI PhD Student

Selected Publications

  • A fault-tolerant HPC scheduler extension for large and operational ensemble data assimilation: Application to the Red Sea, H. Toye, S. Kortas, P. Zhan, I. Hoteit, Journal of Computational Science, vol. 27, pp. 46 - 56, 2018
  • Ensemble data assimilation in the Red Sea: Sensitivity to ensemble selection and atmospheric forcing, H. Toye, P. Zhan, G. Gopalakrishnan, A. R. Kartadikaria, H. Huang, O. Knio, I. Hoteit Ocean Dynamics, vol. 67, no. 7, pp. 915-933, 2017

Education

Habib's research focuses on developing and implementing efficient ensemble Kalman filters for data assimilation into a high resolution model of the Red Sea. He has developed a fault-free DART-MITgcm ensemble assimilation system and successfully tested it with 1000-members on the KAUST supercomputer Shaheen. Habib also derived cost-effective adaptive ensemble OI schemes and demonstrated their relevance for assimilating SSH and SST data in the Red Sea. He is currently working on developing a hybrid EnKF scheme with an adaptive static ensemble covariance to be tested in the Red Sea.

Professional Profile

  • PhD, Ph.D. Applied Mathematics & Computational Sciences, KAUST, Aug 2014 – October 2020
  • M.Sc., Computer Science and Applied Mathematics, Grenoble Institute of Technology (ENSIMAG), France, 2010
KAUST

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