Reda El Ghawi

Doctoral Researcher
BGI Team
Department Biogeochemical Integration (BGI)
Atmosphere-Biosphere Coupling, Climate and Causality
Intern. Max Planck Research School for Global Biogeochemical Cycles (IMPRS-gBGC)
USMILE
+49 3641 57-8906
B3.24

Main Focus

My current research focuses on the integration of machine learning with land-surface modelling, ie. hybrid modelling to characterize transpiration and photosynthesis. (Biological) Processes defined by semi-empirical properties are modelled with machine learning techniques that will be integrated into the land-surface model JSBACH, allowing for the conservation of physical laws while enabling the exploitation of complex relationships to be learnt with higher accuracy.
  • Understanding and modelling the Earth System with machine learning techniques
  • Deep learning approaches for modelling processes described by semi-empirical formulations
  • Hybrid modelling approaches to land-surface models
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