The global climate model system MPI-ESM-LR was applied to create an ensemble of 30 members for the historical period 1950-2005 and a continuation of the simulations for the RCP8.5 period 2006-2099. Additionally, a pre-industrial control run was performed for 1950-2099 with atmospheric pCO2 of 1850. All members were subsequently directly regionalized using the regionally coupled MPIOM-REMO climate model system consisting of the global ocean model MPIOM focused with its horizontal resolution on the North Sea and the regional atmospheric model REMO over the EURO CORDEX22 region (euro-cordex.net), which was fully coupled with MPIOM in this region. For extreme value analyses, certain variables were stored with hourly time step. Here, global sea surface height and regional (EURO CORDEX22) u and v wind components at 10 m above ground are available. Further data can be requested from the authors.

The hydrodynamic model Trim-NP (2.6) was used to get an impression of the spatial distribution of water levels at the coast during historical severe storm tides. For these events, the atmospheric reanalysis products from the Twentieth Century Reanalysis project (20CR), (Compo et al., 2011; Slivinski et al., 2019) and from the ECMWF (ERA5 and UERRA-HARMONIE) (Hersbach et al., 2018, Copernicus Climate Change Service, 2019) are used to force the model. Additionally, the German weather service (DWD) developed reanalysis data for storm surge events for the project OptempS-MohoWif (Kristandt et al., 2014). These reanalysis data are calculated three days before the event and two days after. Based on the comparison between tide gauge observations and model output, we can estimate, the skill of the reanalyses in simulating severe storms. All model runs are forced by finite element solutions tidal atlases FES2004 at the lateral boundaries (Lyard et al., 2006). Further information about the reanalyses: https://psl.noaa.gov/data/20thC_Rean/ https://www.ecmwf.int/en/research/climate-reanalysis/reanalysis-climate-monitoring https://www.ecmwf.int/en/forecasts/dataset/uncertainties-ensembles-regional-reanalysis Copernicus Climate Change Service, Climate Data Store, (2019): Complete UERRA regional reanalysis for Europe from 1961 to 2019. Copernicus Climate Change Service (C3S) Climate Data Store (CDS). DOI: 10.24381/cds.dd7c6d66 (Accessed on 01-APR-2023) The file name of the data sets is composed as follows. trim_<grid>.<variable>.<forcing>_<year>_<run>.nc grid: 2 ( 6.4 km resolution) and 4 (1.6km resolution) variables: u10(x_wind), v10(y_wind) und e(sea_surface_height_above_sea_level) forcing: 20CR versions(v2c und v3) and (UERRA, ERA5) for ECMWF and OptemptS Year: 1825, 1949, 1953, 1962, 1967, 1976, 1999, 2013 run: only used for the 20CR project with 56 (v2c) and 80 (v3) ensemble members Depending on whether the forcing data was available, data are generated.

Method description see https://doi.org/10.26050/WDCC/CoastdatStormTides In Version 2 the e (sea_surface_height_above_sea_level variable is corrected for the year 1825. u10 (x_wind), v10 (y_wind) variables correspond to the old version.

The global climate model system MPI-ESM-LR was applied to create an ensemble of 30 members for the historical period 1950-2005 and a continuation of the simulations for the RCP8.5 period 2006-2099. Additionally, a pre-industrial control run was performed for 1950-2099 with atmospheric pCO2 of 1850. All members were subsequently directly regionalized using the regionally coupled MPIOM-REMO climate model system consisting of the global ocean model MPIOM focused with its horizontal resolution on the North Sea and the regional atmospheric model REMO over the EURO CORDEX22 region (euro-cordex.net), which was fully coupled with MPIOM in this region. For extreme value analyses, certain variables were stored with hourly time step. Here, global sea surface height and regional (EURO CORDEX22) u and v wind components at 10 m above ground are available. Further data can be requested from the authors.