Bachelor and Master Thesis
If you are interested in performing your Bachelor or Master thesis in our group, please contact Sebastian Schemm by email.
Mastertheses starting in HS2023:
- DownloadEffects of forestation and deforestation over North America on remote weather and climate. (PDF, 557 KB)vertical_align_bottom -- DownloadMore details. (PDF, 256 KB)vertical_align_bottom
- DownloadDetection of forced response of the jet stream to global warming through machine learning. (PDF, 576 KB)vertical_align_bottom
- DownloadExtreme midlatitude jets in a warming climate — a PV gradient perspective (PDF, 689 KB)vertical_align_bottom
FS2023
- MA, Josephine Reek (D-BIOL) [Temperature Edge Effects Constrain Global Forest Productivity]
- BA, Lena Fasnacht (D-USYS) [Change in midlatitude PV gradients in future climate simulations using CESM2]
- BA, Pirmin Neyer (D-USYS) [Cyclone characteristics in ICON aquaplanet simulation with summer and winter hemispheres]
HS2022
- MA, Nora Zilibotti (D-ERDW) [Jet streams from a PV gradient perspective]
- MA, Victoria Bauer (D-USYS) [Ocean-atmosphere circulation change under afforestation scenarios]
- MA, Filippo Quarenghi (Utrecht) [High resolution time: Time step sensitivity of numerical weather prediction]
FS2022
- BA, Nina Fieldhouse (D-USYS) [Cyclone life cycles on an aquaplanet with seasonal cycle]
- SA, Feichi Lu, Tianyang Xu, Yaqi Qin (D-INF) [Using machine learning to predict cyclone intensification]
HS2021
- MA, Jan Zibell (D-PHYS), [Cyclone dynamics over the North Atlantic warming hole region]
- MA, Shihao Zeng (D-ERDW) [Storm tracks in idealized aqua planet simulations]
- SA, Lukas Fluri, Robin Chan, Cristi Blaga (D-INF) [Can machine learning predict cyclone tracks?]
FS2021
- SA, Nora Zilibotti (D-PHYS), [On the different perspectives of cyclone growth]
HS2020
- MA, Henrik Auestad (D-ERDW) [DownloadAnnual cycle of baroclinic conversion efficiency (PDF, 199 KB)vertical_align_bottom]
- MA, Marc Federer (D-USYS) [DownloadPredator-Prey behavior of storm tracks (PDF, 2 MB)vertical_align_bottom]
- SA, Sheng Zhou, Hengxuan Ying, Yihan Dong (D-INF) [DownloadCan machine learning predict cyclone tracks (PDF, 944 KB)vertical_align_bottom?]
FS2020
- BA, Gabriel Vollenweider (D-USYS)
HS2019
- MA, Philippe Besson (D-USYS)
Former co-supervised MA/BA students:
- Gabriela Kaufmann, Lukas Papritz, Jacopo Ripoldi, Christina Klasa, Stefan Rüdisühli, Matthias Hauser