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Weber, Arnd (2022): Flood durations and potential natural vegetation distribution on the floodplains of River Rhine and River Elbe, Germany [dataset]. PANGAEA, https://doi.org/10.1594/PANGAEA.948042

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Abstract:
Floodplains are morphologically highly heterogeneous environments with dynamically in- and decreasing water levels and flows. Strong environmental filtering through floodplain inundation creates favorable conditions for highly specialized organisms leading to high biodiversity and conservation value of floodplains. With hyd1d and hydflood we provide two R packages for simplified hydrologic modelling in two large central European floodplains – along River Rhine and River Elbe in Germany. We applied the R function hydflood::flood3 on both active floodplains covering a timespan from 1960 to 2021 and computed annual flood durations for 61 years. For two timespans (1960-1989 and 1990-2019) we aggregated the annual flood durations statistically by mean and standard deviation. Finally, we predicted potentially natural vegetation based on the mean flood duration from 1990 to 2019 and a simple reclassification model implemented in the R function hydflood::classifyToPNV. The datasets consist of 67 different raster layers (62 annual layers, 4 statistically aggregated layers and 1 layer of potential natural vegetation). They are tiled into 40 tiles along River Rhine and 49 tiles along River Elbe, resulting in a total of 5963 individual raster datasets stored in GeoTiff file format. All raster have a spatial resolution of 1 m and are stored in the coordinate reference systems ETRS 1989 UTM Zone 32 N (EPSG: 25832) for River Rhine and ETRS 1989 UTM Zone 33 N (EPSG: 25833) for River Elbe.
Related to:
Weber, Arnd (2020): Digital elevation model (DEM 1) of the River Elbe floodplain between Schmilka and Geesthacht, Germany [dataset]. PANGAEA, https://doi.org/10.1594/PANGAEA.919293
Weber, Arnd (2020): Digital elevation model (DEM 1) of the River Rhine floodplain between Iffezheim and Kleve, Germany [dataset]. PANGAEA, https://doi.org/10.1594/PANGAEA.919308
Weber, Arnd (2020): Digital elevation models of German waterway and navigation authorities - Version 0.1.0. Bundesanstalt für Gewässerkunde, Koblenz, Germany, BfG- Bericht, https://doi.org/10.5675/BfG-2011
Weber, Arnd (2023): Flood durations of the year 2022 on the floodplains of River Rhine and River Elbe, Germany [dataset]. PANGAEA, https://doi.org/10.1594/PANGAEA.961117
Weber, Arnd (2024): Flood durations of the year 2023 on the floodplains of River Rhine and River Elbe, Germany [dataset]. PANGAEA, https://doi.org/10.1594/PANGAEA.972421
References:
Weber, Arnd; Hatz, Marcus; Schramm, Wiebke; Rosenzweig, Stephan (2023): hyd1d and hydflood - R packages to compute water levels and annual flood durations along the rivers Rhine and Elbe, Germany. Ecohydrology & Hydrobiology, 23(3), 375-388, https://doi.org/10.1016/j.ecohyd.2023.04.001
Related code / software:
Weber, Arnd; Rosenzweig, Stephan (2022): Algorythms to Compute Flood Extent and Duration along German Federal Waterways Elbe and Rhine. R Package, Version 0.3.0, https://hydflood.bafg.de
Further details:
Funding:
Federal Ministry of Transport and Digital Infrastructure (BMVI), grant/award no. M39630304065: ElBiota - Laterale Konnektivität und Biodiversität der Elbauen
Coverage:
Median Latitude: 51.363789 * Median Longitude: 10.094324 * South-bound Latitude: 48.830454 * West-bound Longitude: 6.057437 * North-bound Latitude: 53.440981 * East-bound Longitude: 14.243909
Date/Time Start: 1960-01-01T00:00:00 * Date/Time End: 2021-12-31T00:00:00
Event(s):
e001_SCHOENA1 * Latitude Start: 50.856912 * Longitude Start: 14.085722 * Latitude End: 50.940181 * Longitude End: 14.243909 * Location: Germany * Method/Device: Model (Model)
e002_SCHOENA2 * Latitude Start: 50.913399 * Longitude Start: 13.928564 * Latitude End: 50.971250 * Longitude End: 14.089953 * Location: Germany * Method/Device: Model (Model)
e003_PIRNA1 * Latitude Start: 50.954665 * Longitude Start: 13.834845 * Latitude End: 51.021557 * Longitude End: 13.930445 * Location: Germany * Method/Device: Model (Model)
Parameter(s):
#NameShort NameUnitPrincipal InvestigatorMethod/DeviceComment
1Event labelEventWeber, Arnd
2DATE/TIMEDate/TimeWeber, ArndGeocode – start
3DATE/TIMEDate/TimeWeber, ArndGeocode – end
4Latitude of eventLatitudeWeber, Arnd
5Longitude of eventLongitudeWeber, Arnd
6Latitude of event 2Latitude 2Weber, Arnd
7Longitude of event 2Longitude 2Weber, Arnd
8Model output, GeoTIFF formatModel output GeoTIFFWeber, Arnd
9Model output, GeoTIFF format (File Size)Model output GeoTIFF (Size)BytesWeber, Arnd
10UTM Easting, Universal Transverse MercatorUTM eastmWeber, Arndmin
11UTM Easting, Universal Transverse MercatorUTM eastmWeber, Arndmax
12UTM Northing, Universal Transverse MercatorUTM northmWeber, Arndmin
13UTM Northing, Universal Transverse MercatorUTM northmWeber, Arndmax
14TypeTypeWeber, Arnd
15Code (EPSG)Code EPSGWeber, Arnd
16Model output, GeoTIFF format (MD5 Hash)Model output GeoTIFF (Hash)Weber, Arnd
Status:
Curation Level: Enhanced curation (CurationLevelC)
Size:
41741 data points

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