Flood durations of the year 2022 on the floodplains of River Rhine and River Elbe, Germany

DOI

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 the year 2022. The datasets consists of 40 tiles along River Rhine and 49 tiles along River Elbe, resulting in a total of 89 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.

Identifier
DOI https://doi.org/10.1594/PANGAEA.961117
Related Identifier References https://doi.org/10.1594/PANGAEA.919293
Related Identifier References https://doi.org/10.1594/PANGAEA.919308
Related Identifier References https://doi.org/10.5675/BfG-2011
Related Identifier References https://doi.org/10.1594/PANGAEA.948042
Related Identifier References https://hydflood.bafg.de/index.html
Metadata Access https://ws.pangaea.de/oai/provider?verb=GetRecord&metadataPrefix=datacite4&identifier=oai:pangaea.de:doi:10.1594/PANGAEA.961117
Provenance
Creator Weber, Arnd ORCID logo
Publisher PANGAEA
Publication Year 2023
Funding Reference Federal Ministry of Transport and Digital Infrastructure https://doi.org/10.13039/100008383 Crossref Funder ID M39630304065 https://download.pangaea.de/reference/115321/attachments/4_1_1.pdf ElBiota - Laterale Konnektivität und Biodiversität der Elbauen
Rights Creative Commons Attribution-ShareAlike 4.0 International; https://creativecommons.org/licenses/by-sa/4.0/
OpenAccess true
Representation
Resource Type Dataset
Format text/tab-separated-values
Size 623 data points
Discipline Earth System Research
Spatial Coverage (6.057W, 48.830S, 14.244E, 53.441N); Germany
Temporal Coverage Begin 2022-01-01T00:00:00Z
Temporal Coverage End 2022-12-31T00:00:00Z