River Flood Hazard Assessment for İzmir (Türkiye): LISFLOOD-FP Simulations for 2–500 Year Return Periods under Climate Change (CRIZ-ERS)

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Dataset information

Country of origin
Updated
2026.02.27 00:00
Created
2026.02.26
Available languages
English
Keywords
Quality scoring

Dataset description

This dataset contains the river flood hazard assessment for İzmir Province developed under the CLIMAAX project. The hazard modelling is based on: Design rainfall maps (2, 10, 25, 50, 100, 500-year return periods) Climate-adjusted rainfall (RCP 8.5 / SSP5-8.5) 15 m resolution DEM Manning’s roughness derived from ESA WorldCover 2D hydrodynamic modelling using LISFLOOD-FP Included Data Design rainfall maps (GeoTIFF & NetCDF) LISFLOOD-FP model configuration files Flood depth rasters (m) Climate-adjusted flood depth maps Reclassified flood rasters Flood depth polygons Hazard visualisation plots Output Variable Maximum water depth (meters) Return Periods 2, 10, 25, 50, 100, 500 years Coordinate System EPSG:32635 (UTM Zone 35N) File Content 01_River_Flooding_Hazard_Assessment.ipynbJupyter Notebook containing the complete river flood hazard modelling workflow using LISFLOOD-FP for multiple return periods and climate scenarios. data_izmir.zipInput geospatial data for hazard modelling, including DEM, land cover, and water body mask layers for the İzmir study area. Design_Rainfall.zipDesign rainfall maps (GeoTIFF and NetCDF) for 2–500 year return periods under baseline and RCP 8.5 climate scenarios. LISFLOOD_FP_Model.zipLISFLOOD-FP model setup files, including DEM (ASCII), Manning’s roughness grid, parameter (.par) files, rainfall inputs, and model configuration files. Plots.zipFigures and visual outputs generated from the river flood hazard assessment, including rainfall maps and flood depth visualisations. Water_Depth_Polygon.zipVectorised flood extent polygons derived from modelled maximum water depth for multiple return periods and scenarios. Water_Depth_Raster.zipFlood depth rasters (meters) produced from LISFLOOD-FP simulations for baseline and climate-adjusted scenarios.
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