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.
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”
10/2007 – 07/2010
Bachelor of Science "Geography", University of Leipzig, Bachelor's thesis: "Characterization and source analysis of atmospheric aerosol particles at ZOTTO, Siberia"
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 https://doi.org/10.5194/gmd-15-1-2022, 2022.
Heintzenberg, J., Birmili, W., Otto, R., Andreae, M. O., Mayer, J.-C., Chi, X., and Panov, A.: Aerosol particle number size distributions and particulate light absorption at the ZOTTO tall tower (Siberia), 2006–2009, Atmos. Chem. Phys., 11, 8703-8719, https://doi.org/10.5194/acp-11-8703-2011, 2011.
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