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Forschungszentrum Jülich

The research in Jülich focuses on the uncertainty associated with numerical model predictions that calculate the transport of water, energy and solute in terrestrial systems. We focus on land surface model predictions which calculate water, energy and matter fluxes between the land surface and the atmosphere. Also predictions of exchange fluxes between streams and aquifers and between the unsaturated zone and aquifers (groundwater recharge) are of special interest. We want to characterize the prediction uncertainty and reduce it by incorporating different kinds of measurement data in the model predictions.


HDS-LEE is the Helmholtz school for data science in life, Earth and energy. Partners are RWTH Aachen, Forschungszentrum Julich, University of Cologne, DLR Cologne and MPI Cologne.

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DFG-project FOR2131

The DFG-funded research unit FOR2131 (“Data assimilation for improved characterization of fluxes across compartmental interfaces”) develops data assimilation methods to most accurately predict states, parameters, and fluxes.

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EU-project Resilient Forests

Objective of this EU LIFE project is the development of a decision support system for forest management at the watershed scale that improves the resilience of forests to climate change.

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ADPTER is a Helmholtz Association (HGF) Initiative and Networking Fund project on knowledge transfer, dealing with the development of "innovative and simulation-based products for a weather- and climate- resilient agriculture".

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The goal of the World Climate Research Programme (WCRP) Coordinated Regional Downscaling Experiment (CORDEX) is to advance and coordinate the regional downscaling, provide RCM ensembles of regional climate change and foster joint climate research in a global framework.

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