Défense de thèse

Soutenance de thèse de Thomas Dethinne


©️ Th. Dethinne

Infos

Dates
15 juin 2026
Lieu
Hybride / Institut de Géographie, bât. B11, amphithéâtre Sporck
Quartier Village - Clos Mercator 3
4000 Liège
Voir la carte
Horaires
16h00

Le lundi 15 juin 2026,  Thomas DETHINNE présentera l'examen en vue de l’obtention du grade académique de Docteur en Sciences (Collège de doctorat en Géographie) sous la direction de François JONARD et Xavier FETTWEIS.

Cette épreuve consistera en la défense publique d’une dissertation intitulée :

« Improving Representation of Land-Atmosphere Interactions Using Remote Sensing and Climate Models: Insights from Model Coupling and Satellite Data Integration ».

Le Jury sera composé de :

M. L. FRANCOIS (Président), Mme et MM. C. DELIRE (Météo-France), X. FETTWEIS (Co-promoteur), N. GHILAIN (Secrétaire), F. JONARD (Promoteur), K. VAN WEVERBERG (UGent).

Lien Teams

 

Abstract

The Earth's climate depends on the interactions among multiple interconnected components of the Earth system, including the atmosphere, hydrosphere, cryosphere, biosphere, and anthroposphere. Each of these components exerts varying degrees of influence on the others. The land-atmosphere interface represents one of the key hotspots of these interactions. Yet, regional studies often rely on models that simulate only one side of the land-atmosphere boundary while prescribing the other, thereby limiting the representation of coupled feedback. This thesis investigates how remote sensing data and process-based modelling can improve the representation of land-atmosphere interactions in regional models. Specifically, we integrate satellite observations into the regional climate model MAR and couple it with the dynamic vegetation model CARAIB to provide more dynamic and physically consistent surface conditions. Both the coupling and integration experiments improved the representation of land-atmosphere interactions in MAR by providing it with dynamical data and more representative observed surface conditions. These developments are essential steps toward a better understanding of surface processes and reducing uncertainties in long-term regional climate projections.

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