Model cascade from meteorological drivers to river flood hazard: flood-cascade v1.0

Abstract. Riverine flood hazard is the consequence of meteorological drivers, primarily precipitation, hydrological processes and interaction floodwaters with floodplain landscape. Modeling this can be particularly challenging because multiple steps differing spatial scales involved in varying processes. As climate modeling community increases their focus on risks associated change, it important to translate drivers into relevant estimates. This especially for attribution projection communities. Current change assessments risk typically neglect key processes, instead explicitly inundation, they commonly use precipitation or river flow as proxies hazard. due complexity uncertainties model cascades computational cost inundation modeling. Here, we lay out a clear methodology taking e.g., from observations models, through high-resolution (∼90 m) flooding (fluvial) hazards. Thus, framework designed an accessible, computationally efficient tool using freely available data enable greater uptake type The inputs (precipitation air temperature) are transformed series yield, turn, surface runoff, flow, inundation. We explore at different steps. estimates then related impacts felt household levels determine exposure events. approach uses global sets thus applied anywhere world, but Brahmaputra River Bangladesh case study order demonstrate necessary our framework. driven by meteorology observational output. In study, only used drive so changes not assessed. However, comparing current future simulated climates, also assess change.