Details zur Publikation

Kategorie Datenpublikation
DOI 10.48758/ufz.14403
Titel (primär) Mesoscale Hydrologic Model based historical streamflow simulation over Europe at 1/8 degree
Autor Rakovec, O. ORCID logo ; Kumar, R. ORCID logo ; Samaniego, L. ORCID logo
Quelle Data Investigation Portal UFZ
Erscheinungsjahr 2023
Department CHS
Sprache englisch
Topic T5 Future Landscapes
Abstract Floods regularly cause substantial damage worldwide. Changing flood characteristics, e.g., due to climate change, pose challenges to flood risk management. The spatial extent of floods is an important indicator of potential impacts, as consequences of widespread floods are particularly difficult to mitigate. The highly uneven station distribution in space and time, however, limits the ability to quantify flood characteristics and, in particular, changes in flood extents over large regions. Here, we use observation-driven routed runoff simulations over the last 70 years in Europe from a state-of-the-art hydrological model (the mesoscale Hydrologic Model – mHM) to identify large spatiotemporally connected flood events. Our identified spatiotemporal flood events compare well against an independent flood impact database. We find that flood extents increase by 11.3 % on average across Europe. This increase occurs over most of Europe, except for parts of eastern and southwestern Europe. Over northern Europe, the increase in flood extent is mainly driven by the overall increase in flood magnitude caused by increasing precipitation and snowmelt. In contrast, the increasing trend in flood extent over central Europe can be attributed to an increase in the spatial extent of heavy precipitation. Overall, our study illustrates the opportunities to combine long-term consistent regional runoff simulations with a spatiotemporal flood detection algorithm to identify large-scale trends in key flood characteristics and their drivers. The detected change in flood extent should be considered in risk assessments as it may challenge flood control and water resource management.
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Rakovec, O., Kumar, R., Samaniego, L. (2023):
Mesoscale Hydrologic Model based historical streamflow simulation over Europe at 1/8 degree
Data Investigation Portal UFZ 10.48758/ufz.14403