WOLFF, Mr. Joshua (2020) Méthodes de décomposition orthogonale aux valeurs propres pour la veille environnementale : prévision probabiliste de températures extrêmes à la surface de la mer Rouge PRE - Research Project, ENSTA.



The two-month study I led in the Axionable’s department of Research and Development is focused on the prediction of “extreme” events in geophysical data. More particularly, my work was concentrated on the study of temperatures at the surface of the Red Sea ( we will use the abbreviation SST in this document for Sea Surface Temperature). The final goal is to be able to predict significant and persistent temperature increases using a large SST dataset with many missing values.

Item Type:Thesis (PRE - Research Project)
Subjects:Mathematics and Applications
Earth Sciences and Environmental Engineering
ID Code:8139
Deposited By:Joshua WOLFF
Deposited On:25 juin 2021 15:27
Dernière modification:25 juin 2021 15:27

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