Peter Miersch
Contact
Helmholtz Centre for Environmental Research
Department of Computational Hydrosystems
Building 7.1, Room 412
Permoserstr. 15
04318 Leipzig
Germany
peter.miersch@ufz.de
I am a postdoctoral researcher studying how weather and climate extremes and their impacts are changing in a warming climate, with a focus on floods, droughts and compound events and their climatic drivers. As part of the Climate Change Adaptation Digital Twin of the Destination Earth initiative, I run global hydrological simulations with the mesoscale Hydrologic Model (mHM), driven by high-resolution climate projections, and quantify the sources of uncertainty along this modelling chain. Building on this, I study how human-caused climate change has affected European floods: by examining extremes under past, present and future climate conditions, I aim to quantify how climate change has altered hazards such as floods and what to expect in the future. To do so, I combine climate model simulations with process-based and machine-learning hydrological models within a storyline framework.
I obtained my PhD from TU Dresden with a thesis on “Understanding drivers of European floods in a changing climate using storyline attribution and causal discovery”, supervised by Jakob Zscheischler. During my PhD, I worked in the UFZ Department of Compound Environmental Risks.
ORCID: 0000-0002-5009-0978
- Floods, droughts, and other compound climate extremes
- Attribution of extreme events to climate change
- Storyline attribution methods
- Causal inference and machine learning in large sample hydrology
- Projections of climate risk and quantifying their uncertainties
Scientific career
2022-2026
2021
2019 - 2020
Exchange to University of São Paulo
2014 - 2017
B.Sc. Physics at Leipzig University
2026 (3)
- Groenke, B., Wessel, J.B., Miersch, P., Klein, N., Zscheischler, J. (2026):
Stochastic weather generation for scenario-neutral impact assessments using simulation-based inference
J. Geophys. Res.: Mach. Learn. Comput. 3 (2), e2025JH000902
10.1029/2025JH000902 - Klotz, D., Miersch, P., do Nascimento, T.V.M., Fenicia, F., Gauch, M., Zscheischler, J. (2026):
EARLS: European aggregated reconstruction for large-sample studies (Version v0.5) [Dataset]
Zenodo
10.5281/zenodo.19188344 - Klotz, D., Miersch, P., do Nascimento, T.V.M., Fenicia, F., Gauch, M., Zscheischler, J. (2026):
EARLS: A runoff reconstruction dataset for Europe
Earth Syst. Sci. Data 18 (7), 5485 - 5504
10.5194/essd-18-5485-2026
2025 (3)
- Klotz, D., Miersch, P., do Nascimento, T.V.M., Fenicia, F., Gauch, M., Zscheischler, J. (2025):
EARLS: European aggregated reconstruction for large-sample studies (v0.3) [Data set]
Zenodo
10.5281/zenodo.15506211 - Miersch, P. (2025):
Data Release: Evaluating the robustness of PCMCI+ for causal discovery of flood drivers
Zenodo
10.5281/zenodo.14765911 - Miersch, P., Günther, W., Runge, J., Zscheischler, J. (2025):
Evaluating the robustness of PCMCI+ for causal discovery of flood drivers
Artificial Intelligence for the Earth Systems (AIES) 4 (4), e240114
10.1175/AIES-D-24-0114.1
2023 (1)
- Günther, W., Miersch, P., Ninad, U., Runge, J. (2023):
Clustering of causal graphs to explore drivers of river discharge
Environ. Data Sci. 2 , e25
10.1017/eds.2023.17