Prof. Stefan Kollet

Research Group

Global change including continuously increase pressures on natural resources and ecosystem services. The research group develop and applies integrated terrestrial models in heterogeneous supercomputing environments. The ultimate goal is to arrive at deep understanding and predictions of all variables of the coupled terrestrial water, energy and nutrient cycles including uncertainty estimates, which will be useful in the management of terrestrial systems.

Research Focus

Global change including climate change and human interventions related to e.g. water and land use exert tremendous pressures on natural resources and ecosystem services. In order to improve our understanding and predictions of the terrestrial system i.e. its nonlinear and coupled water, energy and nutrient cycles, we develop scale consistent terrestrial models that are merged with observations of the real system. We use these models to explain and predict e.g. extreme and compound events related to e.g. floods and droughts; and perform probabilistic water resources assessments. The group provides quasi-operational water resources forecasts over Central Europe that are relevant for stakeholders and the public (https://adapter-projekt.de, https://wasser-monitor.de). We perform our research in collaboration with HPSC and SLTS Terrys, CESOC, and nationa/international partners.

Research interest

• Interactions of the terrestrial hydrologic and energy cycles
• Watershed hydrodynamics
• Scientific computing in HPC environments
• Surface water - groundwater interactions
• Subsurface flow and transport (mass, energy)
• Thermodynamics of soil moisture
• Experimental and theoretical aquifer hydraulics

Open Positions

PhD studentships and postdoctoral scholarships in terrestrial modeling and data analytics

Ongoing projects

Recently completed projects