Description: The Flood Similarity Workflow is part of the Flood Event Explorer (FEE, Eggert et al., 2022), developed at the GFZ German Research Centre for Geosciences . It is funded by the Initiative and Networking Fund of the Helmholtz Association through the Digital Earth project (https://www.digitalearth-hgf.de/). River floods and associated adverse consequences are caused by complex interactions of hydro-meteorological and socio-economic pre-conditions and event characteristics. The Flood Similarity Workflow supports the identification, assessment and comparison of hydro-meteorological controls of flood events. The analysis of flood events requires the exploration of discharge time series data for hundreds of gauging stations and their auxiliary data. Data availability and accessibility and standard processing techniques are common challenges in that application and addressed by this workflow. The Flood Similarity Workflow allows the assessment and comparison of arbitrary flood events. The workflow includes around 500 gauging stations in Germany comprising discharge data and the associated extreme value statistics as well as precipitation and soil moisture data. This provides the basis to identify and compare flood events based on antecedent catchment conditions, catchment precipitation, discharge hydrographs, and inundation maps. The workflow also enables the analysis of multidimensional flood characteristics including aggregated indicators (in space and time), spatial patterns and time series signatures. The added value of the Flood Event Explorer comprises two major points. First, scientist work on a common, homogenized database of flood events and their hydro-meteorological controls for a large spatial and temporal domain , with fast and standardized interfaces to access the data. Second, the standardized computation of common flood indicators allows a consistent comparison and exploration of flood events.
Global identifier:
Doi(
"10.5880/GFZ.1.4.2022.003",
)
Origins: /Wissenschaft/GFZ
Tags: Hochwasserabfluss ? Hochwasser ? Überschwemmung ? Karte ? Anwendungstechnik ? Daten ? Zeitreihe ? Bodenfeuchte ? Aufbereitungstechnik ? Datenbank ? Forschungseinrichtung ? Geowissenschaften ? Niederschlag ? DASF ? Digital Earth ? EARTH SCIENCE > HUMAN DIMENSIONS > NATURAL HAZARDS > FLOODS ? EARTH SCIENCE SERVICES > DATA ANALYSIS AND VISUALIZATION ? Workflow ? assess ? compare ? hydrometeorological controls ?
License: apache
Language: Englisch/English
Issued: 2022-01-01
Time ranges: 2022-01-01 - 2022-01-01
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