Theses
The following theses are based on research conducted within the working group. New topics within the overall research topic of the group are available, but will be tailored to the students' interests and background. PhD students are typically recruited via the IMPRS-ESM, where applications are accepted annually in August / early September. If you are interested to write your BSc or MSc thesis in our working group, please contact Prof. Johanna Baehr.
PhD Theses
Miesner, Anna Katharina, 2022: Forecasting the Marine Biological Environment. Exploring the Spatial Distribution of a North Atlantic Fish Species at the Example of Blue Whiting. Link
Nielsen, David Marcolino, 2021: An Earth system modelling perspective on Arctic coastal erosion under climate change. Link
Pieper, Patrick, 2020: Meteorological drought – universal monitoring and reliable seasonal prediction with the standardized precipitation index. Link
Koul, Vimal, 2020: Decadal prediction of shelf-sea marine ecosystems in the eastern North Atlantic: The role of the Subpolar Gyre. Link
Neddermann, Nele-Charlotte, 2019: Seasonal prediction of European summer climate: a process-based approach. Link
Borchert, Leonard, 2018: Decadal climate predictions in the North Atlantic region: The role of ocean heat transport. Link
Fischer, Matthias, 2015: Changes in the predictability of the North Atlantic ocean under global warming. Link
Mielke, Charlotte, 2014: The North Atlantic Deep Western Boundary Current - seasonal cycle, decadal variability and relation to the Atlantic Meridional Overturning Circulation. Link
Tiedje, Bente, 2013: Potential predictability of meridional heat and volume transports in the North Atlantic Ocean. Link
Master Theses
Herz, Felix, 2022: A teleconnection-based subseasonal prediction approach of wintertime cold air outbreaks in Central Europe.
Sánchez Guarnizo, Laura Alejandra, 2022: Predictability and Variability of Summer Maximum Surface Temperature in Europe.
Alastrué de Asenjo, Eduardo, 2022: Causal attribution of low AMOC strengths to anthropogenic influence.
Aranyossy, Alvise, 2021: Seasonal Predictability of Wintertime mid-latitude Cyclonic Activity over the North Atlantic and Europe.
Rustogi, Paridhi, 2021: Seasonal Analysis of Atmosphere-Ocean Carbon Flux Variability in the North Atlantic and the Southern Ocean.
Zheng, Yiyu, 2020: ENSO Characteristics and Predictability in a Warmer Climate.
Hövel, Laura, 2020: Variability and Predictability of Marine Heatwaves.
Sauer, Jerome, 2020: Potential linkage between the atmospheric summer circulation over Eurasia and preceding sea ice anomalies southwest of Greenland.
Schaffer, Laura, 2020: Occurence of severe weather conditions in the Barents Sea in observations and re-forecasts.
Hellmich, Lara, 2019: The Northern Hemisphere Winter Polar Jet Stream and its Connection to the Seasonal Prediction Skill of Weather Regimes over Europe.
Mayer, Björn, 2019: The signal-to-noise paradox in seasonal and subseasonal climate predictions in a comprehensive and a conceptual climate model.
Caballero Espejo, Maria Esther, 2019: Ecosystem-based adaptation to future precipitation impacts in Peru during Coastal-El Niño events.
Wett, Simon, 2018: The Impact of Sudden Stratospheric Warmings on the Subpolar North Atlantic.
Kleine, Tobias, 2018: Ensemble subsampling improves seasonal hindcast NAO signal.
Rochner, Andrea, 2018: Connecting hydrographic changes in the Eastern North Atlantic with the Subpolar Gyre strength in the MPI-ESM and observations.
Wiegand, Kevin, 2018: Variability and predictability of the Madden-Julian Oscillation in a coupled ocean-atmosphere model.
Hempel, Tim, 2018: Prediction of seasonal variability of the Southern Annular Mode and investigation of its connection to the Southern Ocean.
Hepburn, Benjamin, 2017: Predicting European spring barley: coupling a dynamic crop model to the MPI-ESM seasonal prediction system.
Carvalho Oliveira, Julianna, 2017: The influence of the AMOC strength at 26° N on seasonal SST predictability in the North Atlantic.
Zeiher, Nadja, 2017: The role of Westerly Wind Events and their co-occurrence with Warm Water Volume before the onset of an El Niño event in ERA and in Seasonal. Reforecasts with MPI-ESM.
Zeller, Mathias, 2015: Predictability of the Atlantic meridional overturning circulation at 26.5N in three differently initialized hindcast ensembles.
Todt, Markus, 2015: Assessing ENSO hindcast skill in the MPI-ESM-LR seasonal prediction system.
Schmidt, Christian, 2015: On the reconstruction of the Atlantic Meridional Overturning Circulation estimate at 41.0°N.
Widera, Jan, 2014: Estimates of the Atlantic meridional overturning circulation at 26N and 41N: two coupled-model assimilation products compared against observations.
Müller, Vasco, 2013: Predictions of the Atlantic meridional overturning circulation at 26.5N.
Parsakhoo, Zahra Sadat, 2013: The variability and potential predictability of the Atlantic Meridional Overturning Circulation, AMOC) in depth and density space.
Bachelor Theses
Schäfers, Simon, 2022: Improving decadal forecasts of winter NAO by using North Atlantic SST as a proxy.
Schirojan, Danial Ernesto, 2021: Predictability of coastal erosion in the Laptev Sea using the Max Planck Institute Earth System Model.
Kleine, Tobias, 2015: Statistical analysis of global wave parameter distribution and potential wave power for ideal positioning of a novel wave energy converter.
Wiegand, Kevin, 2015: Multi-year predictability of the basin-wide upper ocean heat content in a hindcast ensemble simulation with MPI-ESM.
Bell, Louisa, 2015: Predictability of the extratropical Atmosphere in connection with the upper subpolar Ocean.
Schmidt, Christian, 2013: The role of the Canary Current system on the seasonal variability of the Atlantic Meridional Overturning Circulation at 26.5N.
Todt, Markus, 2013: Detectability of changes in the zonal density difference in the North Atlantic.
Zeller, Matthias, 2013: Stratospheric influence on ocean variability on seasonal timescales.
Fischer, Matthias, 2010: Observing System Simulations for the Meridional Overturning Circulation in the Atlantic.