Le mardi 21 avril 2026, Manal Hamdeno ELAWADY présentera l'examen en vue de l’obtention du grade académique de Docteur en Sciences (Collège de doctorat en Océanographie) sous la direction de Aïda ALVERA AZCARATE.
Cette épreuve consistera en la défense publique d’une dissertation intitulée :
« Long-term study of the MHWs in the Mediterranean Sea and the Red Sea: an assessment of their trends, drivers, and their early indicators ».
Le Jury sera composé de :
M. X. FETTWEIS (Président), Mmes et MM. A. ALVERA AZCARATE (Promotrice), J.-M. BECKERS (Secrétaire), S. GOBERT, I. HOTEIT (University of Science and Technology, Arabie Saoudite), F. PASTOR (Mediterranean Center for Environmental Studies, Espagne).
Marine heatwaves (MHWs) are intensifying under climate change and are a major driver of ocean variability and ecosystem stress. This thesis analyzes MHW dynamics in the Mediterranean Sea and the Red Sea (1982-2024), showing increasing frequency, duration, and intensity, with strong regional contrasts linked to basin structure. Our results show that MHWs are driven by the interaction between long-term warming, atmospheric forcing, and oceanic processes, and extend below the surface, creating subsurface heat storage and ocean memory. Their impacts include enhanced stratification, reduced nutrient supply, decreased productivity, and direct thermal stress on marine organisms. In addition, compound events and interactions with atmospheric heatwaves amplify their intensity and persistence, and interactions with Medicanes show a two-way of impacts, highlighting that MHWs are complex, vertically structured, and coupled ocean-atmosphere extremes.
La thèse est intitulée : « Structural Phase Transitions and Complex Polar Orderings in Oxide Perovskites: Insights and Control from First- and Second-Principles ».
La thèse est intitulée : « High-Resolution Mass Spectrometry imaging beyond visualization: Addressing analytical challenges through computational methods ».
La thèse est intitulée : « Improving Representation of Land-Atmosphere Interactions Using Remote Sensing and Climate Models: Insights from Model Coupling and Satellite Data Integration ».
