Marieke Wesselkamp

Source: https://www.biom.uni-freiburg.de/mitarbeiter/Marieke_Wesselkamp/?searchterm=None Parent: https://www.biom.uni-freiburg.de/mitarbeiter/dormann/prof.-dr.-carsten-dormann?set_language=en


	Marieke Wesselkamp Department of Biometry and Environmental System Analysis Tennenbacher Strasse 4, 79106 Freiburg, Germany Room 03.063 phone: + fax: + 49 761 203-3751 Email: marieke.wesselkamp@biom.uni-freiburg.de

Curriculum Vitae

2021-nowPostgraduate researcher, University of Freiburg.


2021		Research internship at the Max-Planck Institute (MPI) for Biogeochemistry, Model-Data Integration Group. Jena, Germany.
2018-2021		MSc Environmental Sciences, Profile: Environmental Modeling and GIS applications. University of Freiburg Germany. Master's thesis: Process-guided transfer learning with sparse data.
2018		Research internship at the University of York, Faculty of Biology, Department of Ecology and Evolution. York, United Kingdom.
2013-2018		BSc Geography, University of Freiburg, Germany. Bachelor thesis: Identifying ecotypes from climate data with spatially varying coefficients.

Publications

Wesselkamp, M., Roberts, D.R. & Dormann, C.F. Identifying potential provenances for climate-change adaptation using spatially variable coefficient models. BMC Ecol Evo 24, 70 (2024). https://doi.org/10.1186/s12862-024-02260-z
Wesselkamp, M., Moser, N., Kalweit, M., Boedecker, J., & Dormann, C. F. (2022). Process-guidance improves predictive performance of neural networks for carbon turnover in ecosystems. arXiv preprint arXiv:2209.14229. https://doi.org/10.48550/arXiv.2209.14229 (submitted to: Ecology letters)
Wesselkamp, M., Chantry, M., Pinnington, E., Choulga, M., Boussetta, S., Kalweit, M., ... & Balsamo, G. (2024). Advances in Land Surface Model-based Forecasting: A comparative study of LSTM, Gradient Boosting, and Feedforward Neural Network Models as prognostic state emulators. arXiv preprint arXiv:2407.16463. arXiv:2407.16463v1 (submitted to: Geoscientific Model Developments)