Robert Schweppe
Hydrowissenschaftliche Software Entwicklung (HSD)
Helmholtz Centre
for Environmental Research − UFZ
Permoserstr. 15
04318 Leipzig, Germany
phone: (+49) 341 6025 1788
robert.schweppe@ufz.de
Personal expertise
- configuration of pyflow suites that orchestrate processing chains of operational forecasts or other projects
- hydrologic modelling with mHM, ECLand, LARSIM and others
- development of supplementary software tools like MPR and in-house Python and Fortran libraries
- experience in academia and private engineering sector
Short CV
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
Publications
Feigl, M., Thober, S., Schweppe, R., Herrnegger, M., Samaniego, L., and Schulz, K.: Automatic regionalization of model parameters for hydrological models, Wat. Res. Res., 58, 12, https://doi.org/10.1029/2022WR031966, 2022.
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
https://doi.org/10.5194/gmd-15-1-2022, 2022.