Personal information
Attinger, Sabine, Prof. Dr. rer. nat.
Research Unit Smart Models / Monitoring
UFZ
Current position
Head of the Research Unit Smart Models / Monitoring, UFZ (since 2017) & Professor of Mathematical Hydrology, Institute of Earth and Environmental Science, University of Potsdam (since 2016)
Role within partner site
Prediction modelling of complex environmental-developmental interactions
Relevant work experience
Physicist in environmental science with focus on smart modelling
2017- Head of the Research Unit Smart Models / Monitoring
2016- Professor of Mathematical Hydrology, Institute of Earth and Environmental Science, University of Potsdam
2004- Head of Department of Computational Hydrosystems, UFZ
2005-16 Professor of Hydrogeology, Institute of Geosciences, FSU Jena
2003-04 Marie-Heim-Vögtlin Grant (SNF Funded), Institute of Terrestrial Ecology, ETH Zurich, Switzerland
2002-03 Scientific Coordinator, Computational Laboratory, ETH Zurich, Switzerland
Professional background
2004
Habilitation in Environmental Science and venia legendi for Physics of Terrestrial Systems, Swiss Federal Institute of Technology (ETH) Zurich, Switzerland,
1997
PhD in Theoretical Physics (Dr. rer. nat.), Heidelberg University
2001
Visiting fellow, Stanford University, Palo Alto, CA, USA (SNF funded)
1997-02
Postdoctoral researcher, Institute of Hydromechanics and Water Resources Management, ETH Zurich, Switzerland
1989-94
Diploma studies in Physics, Ruhr University Bochum and Heidelberg University
Main research focus
Multiscale terrestrial systems, modelling flow and transport processes in surface- and subsurface hydrology, multiscale and stochastic modelling, geostatistics
Publications
5 out of 102; WOS h-index 29
Ayllón D, …, Attinger S, et al. Cross-disciplinary links in environmental systems science: Current state and claimed needs identified in a meta-review of process models. Sci Total Environ 2018;622-623:945-73.
Heße F, …, Attinger S. What we talk about when we talk about uncertainty. Toward a unified, data-driven framework for uncertainty characterization in hydrogeology. Front Earth Sci 2019;7:118.
Schmidt L., …, Attinger S, et al. Challenges in applying machine learning models for hydrological inference: A case study for flooding events across Germany. Water Resour Res 2020;56:e2019WR025924.
Rakovec O, …, Attinger S, et al. Multiscale and Multivariate Evaluation of Water Fluxes and States over European River Basins. J Hydrometeorol 2016;17:287-307.
Samaniego L, …, Attinger S. Multiscale parameter regionalization of a grid-based hydrologic model at the mesoscale. Water Resour Res 2010;46:W05523.
