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false4DOIDB.GFZ 10.5880/GFZ.4.4.2019.003 Ganguli, Poulomi Poulomi Ganguli https://orcid.org/0000-0002-2372-1121 German Research Centre for Geosciences (GFZ), Potsdam, Germany Paprotny, Dominik Dominik Paprotny https://orcid.org/0000-0001-5090-8402 German Research Centre for Geosciences (GFZ), Potsdam, Germany Hasan, Mehedi Mehedi Hasan German Research Centre for Geosciences (GFZ), Potsdam, Germany Güntner, Andreas Andreas Güntner https://orcid.org/0000-0001-6233-8478 German Research Centre for Geosciences (GFZ), Potsdam, Germany, Institute of Environmental Sciences and Geography, University of Potsdam, Potsdam, Germany Merz, Bruno Bruno Merz https://orcid.org/0000-0002-5992-1440 German Research Centre for Geosciences (GFZ), Potsdam, Germany, Institute of Environmental Sciences and Geography, University of Potsdam, Potsdam, Germany GFZ Data Services 2019 storm surge river floods urban coastal management compound floods deltas and estuaries dynamical downscaling climate EARTH SCIENCE > HUMAN DIMENSIONS > ENVIRONMENTAL GOVERNANCE/MANAGEMENT > WATER MANAGEMENT EARTH SCIENCE > HUMAN DIMENSIONS > NATURAL HAZARDS > FLOODS EARTH SCIENCE > SOLID EARTH > GEOMORPHIC LANDFORMS/PROCESSES > FLUVIAL LANDFORMS > DELTAS EARTH SCIENCE SERVICES > MODELS effect > environmental damage > water damage land > landform > coast science > natural science > atmospheric science > meteorology > hydrometeorology science > natural science > water science > hydrology Ganguli, Poulomi German Research Centre for Geosciences (GFZ), Potsdam, Germany 1981-01-01/2005-12-31 2040-01-01/2069-12-31 1981-01-01/2005-12-31 2040-01-01/2069-12-31 1981-01-01/2005-12-31 2040-01-01/2069-12-31 1981-01-01/2005-12-31 2040-01-01/2069-12-31 1981-01-01/2005-12-31 2040-01-01/2069-12-31 Dataset DOI of paper when available 10.1038/s41561-018-0262-x https://oss.deltares.nl/documents/183920/185723/Delft3D-FLOW_User_Manual.pdf 10.1038/s41598-019-49822-6 10.1029/2019GL084220 10.5194/nhess-13-2017-2013 10.1002/wcc.252 10.1073/pnas.1604386113 10.1007/s10584-019-02431-8 10.5194/hess-18-3511-2014 10.1371/journal.pone.0118571 10.1002/2016WR019752 10.1175/JAMC-D-11-0161.1 10.5194/hess-17-5061-2013 10.1002/2015JD024411 10.1111/j.1600-0870.2010.00466.x 10.1051/e3sconf/20160702001 http://urn.kb.se/resolve?urn=urn:nbn:se:smhi:diva-2839 10.1002/2014WR015638 10.5285/3b602f74-8374-1e90-e053-6c86abc08d39 10.1175/JHM-D-17-0180.1 CC BY 4.0 This dataset comprises time series of 6-hourly surges and the daily streamflow records simulated from hydrodynamic-hydrologic modelling to quantify the compound effects of surges and peak river discharge over northwestern Europe. We simulate the surge height (m) and river discharge (m3/s) at the vicinity of the coast in the reference (1981–2005) and projected (2040–2069) periods using time series of high-resolution (0.11⁰, which is about 12 km) regional dynamically downscaled meteorological forcings from the World Climate Research Program CORDEX (COordinated Regional Climate Downscaling EXperiment) framework (Nikulin et al., 2011) (https://esg-dn1.nsc.liu.se/search/esgf-liu/) for Europe, forced by five host (or parent)-GCMs from the CMIP5 project. Given data availability, we use meteorological forcing dataset from SHMI’s Rossby Centre regional atmospheric model (RCA4; Strandberg et al., 2015) driven by five host GCMs participating in CMIP5, i.e., CNRM-CERFACS-CNRM-CM5, ICHEC-EC-EARTH, IPSL-IPSL-CM5A-MR, MOHC-HadGEM2-ES, and MPI-M-MPI-ESM-LR. For each host GCM, the first ensemble member (r1i1p1) of climate realization has been used except the ICHEC-EC-EARTH model, r12i1p1 realization has been used. All simulations have the same physical version (p1) and initialization method (i1) but differ in initial states (i.e., r1 and r12). After 2005, the future scenarios diverge, and we investigate projected change in compound flood climatology during 2040 – 2069 using business as usual RCP8.5 scenario to cover extremes. While we simulate surge at 33 tide gauges using hydrodynamic model Delft3D (Delft3D-FLOW, 2014), the simulation of discharge from 39 stream gauges is performed using the global hydrological and water use model, WaterGAP 2.2d (Müller Schmied et al., 2014). Since we are mostly interested in the meteorological phenomena that drive the compound flood mechanism, we focus on modeling of surges and do not simulate tides. The individual datasets of the surge and discharge time series for each host GCMs in the GCM-RCM chains are available in the sub-folders ‘Discharge’ and ‘Surge’ under the zip-file ‘CF_drivers’.
To simulate surge from meteorological forcing, we use hydrodynamic model Delft3D (Delft3D-FLOW, 2014) that uses depth-averaged shallow water equations. The model was previously calibrated and validated against observed skew surges for the Euro-CORDEX domain in Paprotny et al. (2016). Details of hydrodynamic model parameters (such as wind drag coefficients and channel roughness) and boundary conditions are discussed in Paprotny et al. (2016). The simulation is driven by 6-hourly resolution sea level pressure and winds (See Data processing section for details) available at 0.11⁰ resolution. To accurately simulate extreme storm surges (for example, annual maxima), the time step of calculations is kept as 30-minutes. We simulate the global hydrological and water use model, WaterGAP 2.2d (Müller Schmied et al., 2014) to simulate current and future runoff at daily time steps from each river basin. WaterGAP simulates runoff, groundwater recharge and water use with a spatial resolution of 0.5⁰ (approximately 55 km) for all land areas except Antarctica. The WaterGAP is calibrated (Müller Schmied et al., 2014) using daily reanalysis-based WFDEI-GPCC (Watch Forcing Data based on ERA-Interim) (Weedon et al., 2014) meteorological forcing. WaterGAP is tuned based on observed river discharge at stations around the world individually and for each ‘first-order’ sub-basin using a tuning parameter, runoff coefficient. For simulating river discharge using WaterGAP, we select locations of stream gauges from medium to large-sized basins with a catchment area between 1000 and 1,05,000 km2 located at a radial distance of within 200 km distance from the tide gauges (Ganguli & Merz, 2019b, 2019a). For more information, please consult the data description document.
Spatial coverage: Northwestern Europe; Historical simulation: 1981 - 2005 -13.0012 20.2214 46.6103 69.9559 Spatial coverage: Northwestern Europe; Projected simulation: 2040 - 2069 -13.0012 20.2214 46.6103 69.9559 Alexander von Humboldt Foundation, Germany 10.13039/100005156 D05417008 Humboldt Research Fellowship for early career researchers