Flood durations of the year 2022 on the floodplains of River Rhine and River Elbe, Germany
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| Format: | Dataset Open Access |
| Langue: | en |
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PANGAEA
2023
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| _version_ | 1867170120325922816 |
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| author | Weber, Arnd |
| author_facet | Weber, Arnd |
| collection | Datos científicos de ciencias marinas y ambientales |
| 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 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. |
| format | Dataset Open Access |
| id | pangaea_https___doi_org_10_1594_PANGAEA_961117 |
| institution | PANGAEA |
| language | en |
| publishDate | 2023 |
| publisher | PANGAEA |
| record_format | pangaea |
| spellingShingle | Flood durations of the year 2022 on the floodplains of River Rhine and River Elbe, Germany Weber, Arnd 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; e046_BLECKEDE; e047_BOIZENBURG; e048_HOHNSTORF; e049_ARTLENBURG; ElBiota; ElBiota - Lateral connectivity and biodiversity of the Elbe floodplains; Event label; Flood duration; Flood inundation; Flood plain; 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 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. |
| title | Flood durations of the year 2022 on the floodplains of River Rhine and River Elbe, Germany |
| topic | 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; e046_BLECKEDE; e047_BOIZENBURG; e048_HOHNSTORF; e049_ARTLENBURG; ElBiota; ElBiota - Lateral connectivity and biodiversity of the Elbe floodplains; Event label; Flood duration; Flood inundation; Flood plain; 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 |
| url | https://doi.org/10.1594/PANGAEA.961117 |