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  • 1
    Publication Date: 2023-07-19
    Description: 〈title xmlns:mml="http://www.w3.org/1998/Math/MathML"〉Abstract〈/title〉〈p xmlns:mml="http://www.w3.org/1998/Math/MathML" xml:lang="en"〉The genesis of floods in large river basins often is complex. Streamflow originating from precipitation and snowmelt and different tributaries can superimpose and cause high water levels, threatening cities and communities along the riverbanks. For better understanding the mechanisms (origin and composition) of flood events in large and complex basins, we capture and share the story behind major historic and projected streamflow peaks in the Rhine River basin. Our analysis is based on hydrological simulations with the mesoscale Hydrological Model forced with both meteorological observations and an ensemble of climate projections. The spatio‐temporal analysis of the flood events includes the assessment and mapping of antecedent liquid precipitation, snow cover changes, generated and routed runoff, areal extents of events, and the above‐average runoff from major sub‐basins up to 10 days before a streamflow peak. We introduce and assess the analytical setup by presenting the flood genesis of the two well‐known Rhine floods that occurred in January 1995 and May 1999. We share our extensive collection of event‐based Rhine River flood genesis, which can be used in‐ and outside the scientific community to explore the complexity and diversity of historic and projected flood genesis in the Rhine basin. An interactive web‐based viewer provides easy access to all major historic and projected streamflow peaks at four locations along the Rhine. The comparison of peak flow genesis depending on different warming levels elucidates the role of changes in snow cover and precipitation characteristics in the (pre‐)Alps for flood hazards along the entire channel of the Rhine. Furthermore, our results suggest a positive correlation between flood magnitudes and areal extents of an event. Further hydro‐climatological research is required to improve the understanding of the climatic impact on the Rhine and beyond.〈/p〉
    Description: 〈p xmlns:mml="http://www.w3.org/1998/Math/MathML" xml:lang="en"〉The genesis of riverine floods in large river basins often is complex. Streamflow originating from precipitation and snowmelt and different tributaries can superimpose and cause high water levels threatening cities and communities along the riverbanks. In this study, we capture and share the story behind major historic and projected streamflow peaks in the large and complex basin of the Rhine River.〈boxed-text position="anchor" content-type="graphic" id="hyp14918-blkfxd-0001" xml:lang="en"〉 〈graphic position="anchor" id="jats-graphic-1" xlink:href="urn:x-wiley:08856087:media:hyp14918:hyp14918-toc-0001"〉
    Description: https://doi.org/10.5281/zenodo.3239055
    Description: https://github.com/ERottler/rhine-flood-genesis
    Description: http://natriskchange.ad.umwelt.uni-potsdam.de:3838/rhine-flood-genesis
    Description: https://b2share.eudat.eu/records/72d7a4f5d38043d1a137228b39c7ecc3
    Keywords: ddc:551.46 ; climate change ; flood composition ; flood genesis ; mHM ; model simulations ; quantile extent ; Rhine River ; spatio‐temporal analysis ; web‐based dashboard
    Language: English
    Type: doc-type:article
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  • 2
    Publication Date: 2024-01-24
    Description: 〈title xmlns:mml="http://www.w3.org/1998/Math/MathML"〉Abstract〈/title〉〈p xmlns:mml="http://www.w3.org/1998/Math/MathML" xml:lang="en"〉Flood risk assessments require different disciplines to understand and model the underlying components hazard, exposure, and vulnerability. Many methods and data sets have been refined considerably to cover more details of spatial, temporal, or process information. We compile case studies indicating that refined methods and data have a considerable effect on the overall assessment of flood risk. But are these improvements worth the effort? The adequate level of detail is typically unknown and prioritization of improvements in a specific component is hampered by the lack of an overarching view on flood risk. Consequently, creating the dilemma of potentially being too greedy or too wasteful with the resources available for a risk assessment. A “sweet spot” between those two would use methods and data sets that cover all relevant known processes without using resources inefficiently. We provide three key questions as a qualitative guidance toward this “sweet spot.” For quantitative decision support, more overarching case studies in various contexts are needed to reveal the sensitivity of the overall flood risk to individual components. This could also support the anticipation of unforeseen events like the flood event in Germany and Belgium in 2021 and increase the reliability of flood risk assessments.〈/p〉
    Description: Deutsche Forschungsgemeinschaft http://dx.doi.org/10.13039/501100001659
    Description: BMBF http://dx.doi.org/10.13039/501100002347
    Description: Federal Environment Agency http://dx.doi.org/10.13039/501100010809
    Description: http://howas21.gfz-potsdam.de/howas21/
    Description: https://www.umwelt.niedersachsen.de/startseite/themen/wasser/hochwasser_amp_kustenschutz/hochwasserrisikomanagement_richtlinie/hochwassergefahren_und_hochwasserrisikokarten/hochwasserkarten-121920.html
    Description: https://download.geofabrik.de/europe/germany.html
    Description: https://emergency.copernicus.eu/mapping/list-of-components/EMSN024
    Description: https://data.jrc.ec.europa.eu/collection/id-0054
    Description: https://oasishub.co/dataset/surface-water-flooding-footprinthurricane-harvey-august-2017-jba
    Description: https://www.wasser.sachsen.de/hochwassergefahrenkarte-11915.html
    Keywords: ddc:551.48 ; decision support ; extreme events ; integrated flood risk management ; risk assessment
    Language: English
    Type: doc-type:article
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  • 3
    Publication Date: 2021-06-27
    Description: Climatic changes and anthropogenic modifications of the river basin or river network have the potential to fundamentally alter river runoff. In the framework of this study, we aim to analyze and present historic changes in runoff timing and runoff seasonality observed at river gauges all over the world. In this regard, we develop the Hydro Explorer, an interactive web app, which enables the investigation of 〉7,000 daily resolution discharge time series from the Global Runoff Data Centre (GRDC). The interactive nature of the developed web app allows for a quick comparison of gauges, regions, methods, and time frames. We illustrate the available analytical tools by investigating changes in runoff timing and runoff seasonality in the Rhine River Basin. Since we provide the source code of the application, existing analytical approaches can be modified, new methods added, and the tool framework can be re‐used to visualize other data sets.
    Description: Deutsche Forschungsgemeinschaft http://dx.doi.org/10.13039/501100001659
    Description: WOA Institution: UNIVERSITAET POTSDAM Blended DEAL: ProjektDEAL
    Keywords: 551.488 ; global runoff database ; interactive web app ; R Shiny ; runoff seasonality ; runoff timing
    Type: article
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  • 4
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    Potsdam : Potsdam Institute for Climate Impact Research
    In:  European Conference on Advances in Flood Research : Proceedings / PIK Report, No. 65: 288-299
    Publication Date: 2000
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  • 5
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    Potsdam : Potsdam Institute for Climate Impact Research
    In:  The Odra/Oder Flood in Summer 1997 : Proceedings of the European Expert Meeting in Potsdam, 18 May 1998 / PIK Report, No. 48: 105-114
    Publication Date: 1998
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  • 6
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    In:  Hattermann, F. F., Z. W. Kundzewicz, H. S., T. Vetter, W. Kron, O. Burghoff, Y. Hauf, V. Krysanova, F.-W. Gerstengarbe, P. Werner, B. Merz, A. Bronstert (2012a), Flood risk in holistic perspective - observed changes in Germany. In: Changes of flood risk in Europe, IAHS Press, Wallingford, 212-237.
    Publication Date: 2012
    Description: Simulierte und beobachtete Trends der jährlichen Hochwassermaxima KATASTER-BESCHREIBUNG: Trend der Zu- bzw. Abnahme der Andauer der jährlichen Hochwassermaxima in Deutschland für die Vergangenheit KATASTER-DETAIL: Abnahme des mittleren jährlichen Abflusses um 35 % in Baden-Württemberg (Pegel Achstetten/Baierzer Rot) bzw. 21 % in Brandenburg (Pegel Ketzin/Havel) Zunahme des mittleren jährlichen Abflusses um 84 % in Bayern (Pegel Breitenbachkamm/Breitach) bzw. 74 % in Bayern (Pegel Kalteneck/Ilz)
    Keywords: Deutschland ; 1951-2003 ; Witterungsextreme ; Hochwasser
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  • 7
    Publication Date: 2022-03-21
    Type: info:eu-repo/semantics/article
    Format: application/pdf
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  • 8
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    In:  Risk Analysis
    Publication Date: 2022-03-21
    Type: info:eu-repo/semantics/article
    Format: application/pdf
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  • 9
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    In:  Proceedings des Internationalen Symposiums Klimaänderung und Wasserwirtschaft am 27. und 28. Novembe
    Publication Date: 2022-03-21
    Type: info:eu-repo/semantics/other
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  • 10
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    Potsdam Institute for Climate Impact Research
    In:  Änderung von Hochwassercharakteristiken im Zusammenhang mit Klimaänderungen - Stand der Forschung | PIK Reports ; 15
    Publication Date: 2022-03-21
    Type: info:eu-repo/semantics/other
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