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Bibliographic Details
Main Author: Weber, Arnd
Format: Dataset Open Access
Language:en
Published: PANGAEA 2024
Subjects:
Code (EPSG); DATE/TIME; e001_SCHOENA1; e002_SCHOENA2; e003_PIRNA1; e004_PIRNA2; e005_DRESDEN1; e006_DRESDEN2; e007_MEISSEN1; e008_MEISSEN2; e009_RIESA1; e010_RIESA2; e011_MUEHLBERG1; e012_MUEHLBERG2; e013_TORGAU1; e014_TORGAU2; e015_PRETZSCH; e016_ELSTER; e017_WITTENBERG; e018_COSWIG; e019_VOCKERODE; e020_DESSAU; e021_AKEN1; e022_AKEN2; e023_BARBY1; e024_BARBY2; e025_SCHOENEBECK1; e026_SCHOENEBECK2; e027_MAGDEBURG; e028_MAGDEBURG; e029_NIEGRIPP; e030_ROGAETZ1; e031_ROGAETZ2; e032_ROGAETZ3; e033_TANGERMUENDE; e034_STORKAU; e035_SANDAU1; e036_SANDAU2; e037_SCHARLEUK; e038_WITTENBERGE; e039_MUEGGENDORF; e040_SCHNACKENBURG; e041_LENZEN; e042_GORLEBEN; e043_DOEMITZ; e044_HITZACKER; e045_NEU_DARCHAU; e046_BLECKEDE; e047_BOIZENBURG; e048_HOHNSTORF; e049_ARTLENBURG; Event label; Flood duration; Flood inundation; floodplain; Germany; Latitude of event; Latitude of event 2; Longitude of event; Longitude of event 2; Model; Model output, GeoTIFF format; Model output, GeoTIFF format (File Size); Model output, GeoTIFF format (MD5 Hash); r001_IFFEZHEIM; r002_PLITTERSDORF1; r003_PLITTERSDORF2; r004_PLITTERSDORF3; r005_MAXAU1; r006_MAXAU2; r007_MAXAU3; r008_PHILIPPSBURG; r009_SPEYER; r010_MANNHEIM; r011_WORMS1; r012_WORMS2; r013_WORMS3; r014_NIERSTEIN; r015_MAINZ; r016_OESTRICH; r017_BINGEN; r018_KAUB; r019_SANKT; r020_BOPPARD; r021_KOBLENZ1; r022_KOBLENZ2; r023_ANDERNACH1; r024_ANDERNACH2; r025_OBERWINTER; r026_BONN1; r027_BONN2; r028_KOELN1; r029_KOELN2; r030_KOELN3; r031_KOELN4; r032_DUESSELDORF1; r033_DUESSELDORF2; r034_DUISBURG; r035_DUISBURG; r036_WESEL1; r037_WESEL2; r038_REES1; r039_REES2; r040_REES3; River Elbe; River Rhine; Type; UTM Easting, Universal Transverse Mercator; UTM Northing, Universal Transverse Mercator
Online Access:https://doi.org/10.1594/PANGAEA.972421
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Table of Contents:
  • 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 2023. 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.