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An increase in the spatial extent of European floods over the last 70 years

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F60460709%3A41330%2F24%3A98643" target="_blank" >RIV/60460709:41330/24:98643 - isvavai.cz</a>

  • Result on the web

    <a href="https://doi.org/10.5194/hess-28-3755-2024" target="_blank" >https://doi.org/10.5194/hess-28-3755-2024</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.5194/hess-28-3755-2024" target="_blank" >10.5194/hess-28-3755-2024</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    An increase in the spatial extent of European floods over the last 70 years

  • Original language description

    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.

  • Czech name

  • Czech description

Classification

  • Type

    J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database

  • CEP classification

  • OECD FORD branch

    10501 - Hydrology

Result continuities

  • Project

  • Continuities

    S - Specificky vyzkum na vysokych skolach

Others

  • Publication year

    2024

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Data specific for result type

  • Name of the periodical

    Hydrology and Earth System Sciences

  • ISSN

    1027-5606

  • e-ISSN

    1027-5606

  • Volume of the periodical

    28

  • Issue of the periodical within the volume

    16

  • Country of publishing house

    GB - UNITED KINGDOM

  • Number of pages

    21

  • Pages from-to

    3755-3775

  • UT code for WoS article

    001293634900001

  • EID of the result in the Scopus database

    2-s2.0-85202162794