Flood inundation depth maps Danube catchment

Cite as:

Schröter, Kai; Rivas Lopez, Maria del Rocio; Nguyen, Viet Dung; Wortmann, Michael; Liersch, Stefan; Hardwick, Stephen; Hattermann, Fred (2017): Flood inundation depth maps Danube catchment. V. 0.1. GFZ Data Services. https://doi.org/10.5880/GFZ.5.4.2017.003

Status

I N R E V I E W : Schröter, Kai; Rivas Lopez, Maria del Rocio; Nguyen, Viet Dung; Wortmann, Michael; Liersch, Stefan; Hardwick, Stephen; Hattermann, Fred (2017): Flood inundation depth maps Danube catchment. V. 0.1. GFZ Data Services. https://doi.org/10.5880/GFZ.5.4.2017.003

Abstract

This data set provides a stochastic event set of flood inundation depth maps (fluvial flood hazard footprints) for the German part of the Danube catchment for current and future climate in GEOTIFF format..

The maps provide inundation depth information in cm above ground level on a 100 m grid along the major rivers (4150 km) based on 2D hydro-numeric simulations. Flood event sets are derived for the historical period (1970-1990) and two RCPs (4.5 and 8.5) for the near future (2020-2049) and far future (2070-2099) for four CORDEX models. These flood event sets are created within continuous long-term simulations of a coupled model chain including the IMAGE stochastic multi-variable, multi-site weather generator, the eco-hydrological model SWIM and 1D river network coupled with 2D hydro-numeric hinterland inundation model.

10,000 years of continuous daily simulation of meteorological fields are available for each time period, rcp and climate model. The current version of the flood inundation data sets includes 100 years of simulations. 1D model cross section geometries are based on 10m DEM (BKG), adjustment of dike heights in model calibration. 2D hinterland simulation using LISFLOOD-FP inertia model on a 100m grid resampled from 10 m DEM.

Key usages of the data are large-scale flood risk assessment, future flood risk assessment and flood risk management with long-term perspective. The data have been produced within the OASIS+ demonstrator project 'Future Danube Multi Hazard and Risk Model' funded by Climate-KIC in the period from January 2016 to December 2017.

Additional Information

Map products (GEOTIFF)

• wd_x.tif: Inundation depth map of maximum inundation depth (cm.) for one flood event from the stochastic event set.
• wd_max.tif: Raster indicating the maximum water depth of inundation (cm) of each pixel in the simulation of 100 years for one scenario and model.
• freq_flood.tif: Inundation frequency map indicating the number of flooding events for each pixel from a within a simulation of 100 years for one scenario and model.

Scenario specifications:

CMxRCPyTz

T0: reference time period (1970-1999)
T1: near future (2020 – 2049)
T2: far future (2070 – 2099)
RCP4.5: representative concentration pathway 4.5
RCP8.5: representative concentration pathway 8.5

CM1: ICHEC_KNMI, ICHEC_EC,EARTH, Irish centre for high end computing, RACMO_22E_v1, Dutch Meteorological Institute (KNMI) ensemble: r1i1p1

CM2: ICHEC_SMHI, ICHEC_EC_EARTH, Irish centre for high end computing, RCA4_v1, Swedish Meteorological Institute (SMHI) ensemble: r12i1p1

CM3: MOHC_SMHI, HadGEM2-ES, Met Office Hadley Centre UK, RCA4_v1, Swedish Meteorological Institute (SMHI) ensemble: r1i1p1

CM4: MPI, MPI-M-MPI-ESM-LR, Max Planck Institute for Meteorology, REMO2009, MPI and CSC (climate service centre) ensemble: r1i1p1

Authors

Schröter, Kai;German Research Centre for Geosciences GFZ, SEction 5.4 Hydrology
Rivas Lopez, Maria del Rocio;German Research Centre for Geosciences GFZ, SEction 5.4 Hydrology
Nguyen, Viet Dung;German Research Centre for Geosciences GFZ, SEction 5.4 Hydrology
Wortmann, Michael;Potsdam Institute for Climate Impact Research
Liersch, Stefan;Potsdam Institute for Climate Impact Research
Hardwick, Stephen;Imperial College London
Hattermann, Fred