Recombining past event precipitation and antecedent catchment states generates unprecedented floods
Year: 2025
Type: article
Abstract: River floods that exceed historical records often occur unexpectedly, causing widespread damage and disruption. To improve disaster preparedness, it is crucial to explore exceptional flood scenarios that surpass past observations. Here we introduce a perfect storm approach that recombines historically observed extremes in precipitation and soil moisture to generate plausible flood scenarios that are easy to understand by lay people and flood risk managers. Our analysis covers the ten most damaging floods recorded in Germany, two additional extreme precipitation events and two cases of exceptionally wet soil moisture conditions. The results show that the severity and damage of these recombined floods can systematically exceed those of the observed events, demonstrating the potential of the perfect storm approach to generate plausible scenarios of unprecedented floods. While shifting extreme rainfall to wetter soil consistently amplifies flood severity, moving events by just 1 month can also intensify flooding, which underscores the critical role of temporal alignment between catchment state and precipitation. Our study enables planners and policymakers to anticipate extreme flood scenarios beyond historical precedents, and offers a simple, yet powerful, strategy for obtaining flood scenarios to enhance disaster preparedness.
Authors: Li Han, Bruno Merz, Viet Dung Nguyen, Björn Guse, Luis Samaniego, Kai Schröter, Sergiy Vorogushyn
Language: English
Subfield: Global and Planetary Change
Field: Environmental Science
Domain: Physical Sciences
SDG: Climate action
Open Access status: gold
Estimated APC paid: $3,490
Awards: ClimXtreme Verbundprojekt Module C Impacts - Teilprojekt 5: FLOOD - Untersuchung der auslösenden atmosphärischen Situationen von großräumigen Hochwasserereignissen sowie deren Auswirkungen in Zentraleuropa, Verbundprojekt KAHR: Wissenschaftliche Begleitung des Wiederaufbaus nach der Flutkatastrophe in RLP & NRW, Teilprojekt 2: Verbundkoordination und räumliches Risiko- und Anpassungsmanagement, G5738698665
OpenAlex ID: W4413428553
