Zischg, Andreas PaulAndreas PaulZischg0000-0002-4749-7670Felder, GuidoGuidoFelderWeingartner, RolfRolfWeingartnerGomez, Juan JoseJuan JoseGomezRöthlisberger, Veronika EvaVeronika EvaRöthlisberger0000-0003-1911-6268Bernet, Daniel BenjaminDaniel BenjaminBernet0000-0002-8222-3405Rössler, Ole KristenOle KristenRössler0000-0003-2308-0907Raible, ChristophChristophRaible0000-0003-0176-0602Keiler, MargrethMargrethKeilerRomppainen-Martius, OliviaOliviaRomppainen-Martius0000-0002-8645-47022025-01-082025-01-082016https://boris-portal.unibe.ch/handle/20.500.12422/198502The triggering mechanism and the temporal evolution of large flood events, especially of worst-case scenarios, are not yet fully understood. Consequently, the cumulative losses of extreme floods are unknown. To study the link between weather conditions, discharges and flood losses it is necessary to couple atmospheric, hydrological, hydrodynamic and damage models. The objective of the M-AARE project is to test the potentials and opportunities of a model chain that relates atmospheric conditions to flood losses or risks. The M-AARE model chain is a set of coupled models consisting of four main components: the precipitation module, the hydrology module, the hydrodynamic module, and the damage module. The models are coupled in a cascading framework with harmonized time-steps. First exploratory applications show that the one way coupling of the WRF-PREVAH-BASEMENT models has been achieved and provides promising new insights for a better understanding of key aspects in flood risk analysis.en500 - Science::550 - Earth sciences & geology900 - History::910 - Geography & travel500 - Science::530 - Physicsconference_item10.7892/boris.84044