The Red Sea Forecasting System

Despite its importance to the world community for a variety of socio-economical reasons and the presence of extensive coral reef gardens along its shores, the Red Sea remains one of the most under-studied large marine physical and biological systems in the global ocean. We present our efforts to build advanced modeling, data assimilation, and uncertainty quantification capabilities for the Red Sea, which is part of the newly established Saudi ARAMCO Marine Environmental Research Center aiming at studying and forecasting the ...

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Citation

Peng Zhan, Fengchao Yao, Ganesh Gopalakrishnan, Yesubabu Viswanadhapalli, George Triantafyllou, et al. The Red Sea Forecasting System. Poster Presentation, Advances in Uncertainty Quantification Methods, Algorithms and Applications (UQAW), 2014.

BibTeX

@misc{ bib:2014_UQAW,
author = {Peng Zhan and Fengchao Yao and Ganesh Gopalakrishnan and Yesubabu Viswanadhapalli and George Triantafyllou and Sabique Langoda and Luigi Cavaleri and Nikolaos Zarokanellos and Thomas H{\"o}llt and Markus Hadwiger and Daquan Guo and Burt Jones and Ibrahim Hoteit},
title = { The Red Sea Forecasting System },
howpublished = { Poster presentation at Poster Presentation, Advances in Uncertainty Quantification Methods, Algorithms and Applications (UQAW) },
year = { 2014 },
}