Attinger, Sabine, Prof. Dr. rer. nat.
Research Unit Smart Models/Monitoring
Helmholtz Centre for Environmental Research – UFZ, Leipzig
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
2005–2016 Professor of Hydrogeology, Institute of Geosciences, FSU Jena
2003–2004 Marie-Heim-Vögtlin Grant (SNF Funded), Institute of Terrestrial Ecology, ETH Zurich, Switzerland
2002–2003 Scientific Coordinator, Computational Laboratory, ETH Zurich, Switzerland
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)
1997–2002 Postdoctoral researcher, Institute of Hydromechanics and Water Resources Management, ETH Zurich, Switzerland
1989–1994 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;
5 out of 102; WOS h-index 29
Schmidt L., …, Attinger S et al (2020). Challenges in applying machine learning models for hydrological inference: A case study for flooding events across Germany. Water Resour Res 56:e2019WR025924. doi: 10.1029/2019WR025924.
Ayllón D, …, Attinger S et al (2018). Cross-disciplinary links in environmental systems science: Current state and claimed needs identified in a meta-review of process models. Sci Total Environ 622-623:945–973.
Heße F, …, Attinger S (2019). What we talk about when we talk about uncertainty. Toward a unified, data-driven framework for uncertainty characterization in hydrogeology. Front Earth Sci 7:118. doi: 10.3389/feart.2019.00118.
Rakovec O, …, Attinger S et al (2016). Multiscale and multivariate evaluation of water fluxes and states over European river basins. J Hydrometeorol 17:287–307.
Samaniego L, …, Attinger S (2010). Multiscale parameter regionalization of a grid-based hydrologic model at the mesoscale. Water Resour Res 46:W05523. doi: 10.1029/2008WR007327.