Hydrowissenschaftliche Software Entwicklung (HSD)
for Environmental Research − UFZ
04318 Leipzig, Germany
phone: ++49 - 341 - 235 1784
Climate changes leads to drastic changes in the environment. Agriculture faces increasing weather related risks such as droughts. Modern insurance policies can help avert the worst consequences. Those policies are powered by new technology. They are informed by latest scientific insights. They leverage big data to flexibly estimate individual risks.
We have a decade long record of hydrologic modelling. Our expertise opens up more precise ways to estimate the plant available water at the root zone than currently used in the insurance sector. We initiated the Simucrop project to explore avenues how we can provide added value to clients and partners.
Researcher at the Department of Computational Hydrosystems at the Helmholtz Centre for Environmental Research, Leipzig, Germany
Project engineer at HYDRON GmbH, Karlsruhe, Germany
Student Research Assistant at the Department of Computational Landscape Ecology at the Helmholtz Centre for Environmental Research, Leipzig, Germany
07/2007 – 06/2010 &
10/2011 – 04/2012
Student Research Assistant at the Troposheric Aerosols working group at the Leibniz Institute for Tropospheric Research, Leipzig, Germany
Master of Science "Management of Natural Resources", Martin-Luther-University Halle-Wittenberg, Master's thesis: “Assessing the impact of HRU aggregation schemes on model performance in SWAT”
Bachelor of Science "Geography", University of Leipzig, Bachelor's thesis: "Characterization and source analysis of atmospheric aerosol particles at ZOTTO, Siberia"
01-2022 - 03-2022
scholarship holder of the private-public Deutschlandstipendium
fellowship holder of the Helmholtz Field Study Fellowship programme
Feigl, M., Thober, S., Schweppe, R., Herrnegger, M., Samaniego, L., and Schulz, K.: Automatic regionalization of model parameters for hydrological models, Wat. Res. Res., (submitted).
Schweppe, R., Thober, S., Müller, S., Kelbling, M., Kumar, R., Attinger, S.,
and Samaniego, L.: MPR 1.0: a stand-alone multiscale parameter regionalization tool
for improved parameter estimation of land surface models, Geosci. Model Dev., 15, 1–24