Peter Miersch
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View article: Stochastic weather generation for scenario-neutral impact assessments using simulation-based inference
Stochastic weather generation for scenario-neutral impact assessments using simulation-based inference Open
View article: Attributing floods to anthropogenic climate change using a hydrological model forced with climate simulations under nudged atmospheric circulation
Attributing floods to anthropogenic climate change using a hydrological model forced with climate simulations under nudged atmospheric circulation Open
Anthropogenic climate change can affect wide-spread river floods through changes in atmospheric circulation patterns and thermodynamic effects. Changes of atmospheric circulation patterns due to climate change are rather uncertain, while t…
View article: EARLS: A runoff reconstruction dataset for Europe
EARLS: A runoff reconstruction dataset for Europe Open
Data drives our understanding of hydrological processes, supports model development, and enables anticipatory water management. This contribution introduces EARLS: European Aggregated Reconstructions for Large-sample Studies. EARLS offers …
View article: Identifying drivers of river floods using causal inference
Identifying drivers of river floods using causal inference Open
River floods are among the most devastating natural hazards, causing thousands of deaths and billions of euros in damages every year. Floods can result from a combination of compounding drivers such as heavy precipitation, snowmelt, and hi…
View article: Clustering of causal graphs to explore drivers of river discharge
Clustering of causal graphs to explore drivers of river discharge Open
This work aims to classify catchments through the lens of causal inference and cluster analysis. In particular, it uses causal effects (CEs) of meteorological variables on river discharge while only relying on easily obtainable observation…