I am a doctoral researcher aiming to utilize causal inference methods to identify key flood drivers across river basins. While rainfall is a known predictor of flood occurrence, the complex flood generating mechanism is dominated by compounding events. Precipitation excess, snowmelt, rain-on-snow-events, and preconditioned soil-moisture are all potentially causally related to flooding at different time-scales. Enabled by recent developments in causal inference, I aim to help develop of a coherent data driven methodology to close this research gap and apply it to process-based high-resolution models and real-world observational data.
I am part of the compound weather and climate events group, led by Dr. Jakob Zscheischler and work together with Dr. Jakob Runge at the German Aerospace Center within the CausalFlood project.
- causal inference
- compound weather and climate events
- flood forecasting and impact
- interpretable machine learning for scientific advances