Marieke Wesselkamp
Marieke WesselkampDepartment of Biometry and Environmental System Analysis phone: + |
Curriculum Vitae
2021-now Postgraduate 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)
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Winter Semester 2024/2025 “Mixed effect models with R”