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.
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.
The MOSES test campaign ELBE 2020 includes activities along the middle reaches to the tidal Elbe river and the German Bight. The inland Elbe river part of the campaign covers physico-chemical parameters from various sites along the Elbe River and its main tributaries. The sampling was conducted in a Langrangian way according to travel time, particularly between Aug 04 to Aug 12. Discharge in Magdeburg was 241 m³/s which is about mean low discharge (231 m³/s). Physico-chemical parameters as well as nutrients were sampled using the research vessel ALBIS from Schmilka (km 4, German border) to Geestacht (km 585, close to Hamburg). The targets were water quality measurement by multiparameter probes and chemical analyses, the detection of phytoplankton growth and decrease of dissolved nutrients along the river.
In August 2020 the research vessel Albis investigated the river Elbe from Schmielka towards Geesthacht. Basic hydrographic parameters were measured continuously, with a portable ferryBox. Dissolved methane was continuously determined with a degassing unit and a Greenhouse Gas Analyzer from LosGatosResearch. Atmospheric CH4 and CO2 was determined with a Licor system.
This digital elevation model (DEM) describes the topography of the active floodplain of the middle reaches of River Elbe between the Czech-German border near Schmilka and the weir in Geesthacht with 1 m spatial resolution in coordinate reference system "ETRS 1989 UTM Zone 33 N" and 0.01 m resolution in the German height reference system "Deutsches Haupthöhennetz 1992 (DHHN92)".
The dataset was generated through aerial laser scanning (ALS) for terrestrial parts of the floodplain between April 2003 and December 2006 and echo sounding for aquatic parts of the central water course by the local waterway and navigation authorities (WSV) throughout the year 2006. Parts not covered by any of the two data collection methods were filled through linear interpolation. A comparison between DEM and 7476 height reference points confirmed a high accuracy with a mean deviation of elevations of ± 5 cm. Depending on the data source 95% of all checked points show a vertical deviation of less than 15 cm to 50 cm.
A small section of the model was updated later to incorporate the dike relocation area Lenzen which became connected to the floodplain in 2011 so that the dataset describes the state of 2011.
Since the dataset has a large volume it was split into 49 tiles.