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Seminar

Title : On the Development of an Ensemble Forecasting System for the Red Sea
Name of the speaker : Ibrahim Hoteit
Affiliation : Sciences and Engineering, and Applied Mathematics & Computational Science​​​​​​​​, King Abdullah University of Science and Technology, Arabie saoudite
Laboratory organizer : LMD
Date and time : 05-07-2018 16h00
Location : Ecole Normale Supérieure, 24 rue Lhomond, salle E314
Summary :

The talk will present our efforts to develop an ensemble forecasting system for the Red Sea. The system implements GCMs at Kilometers scales capable of assimilating available observations based on distributions estimated from large ensembles that could be fully executed in parallel. By ‘large’, we are targeting ensembles with several thousands of members. We are also actively working on developing more advanced assimilation schemes to enhance the system outputs in term of computational cost and performances. In this context, I will briefly present three new ensemble Bayesian filters sharing in common « targeted » sampling strategies; the first one introduces a deterministic sampling of the observations perturbations in the stochastic EnKF, the second exploits the idea of filtering with one-step-ahead-smoothing, and the third resorts to a Gaussian-mixture update step. Results from the current version of the system implementation will be presented and future plans will be discussed.

Contact :

bruno.deremble@ens.fr