Published August 6, 2026 | Version v1

ClimEmpower River Flooding Risk Assessment Methodology and Maps

  • 1. ROR icon Austrian Institute of Technology
  • 2. ROR icon Centro Tecnológico del Agua

Description

This dataset contains the reproducible river-flood hazard and direct-damage assessment workflow developed for five ClimEmpower case-study regions: Central Greece, Sicily, Osijek-Baranja County in Croatia, Costa del Sol and Troodos. The workflow is an adaptation of the tested CLIMAAX river-flood risk-assessment Jupyter notebooks and combines JRC/CEMS flood-depth maps, LUISA land-use data, JRC depth-damage functions and the DamageScanner model.

The package includes Python scripts, regional boundary data, vulnerability and damage-curve inputs, styling files, and resulting hazard and damage GeoTIFFs for 10-, 100- and 500-year return periods. Hazard outputs represent flood depth in metres, while damage outputs represent estimated direct economic loss in euros per raster cell.

The accompanying methodology document describes the workflow inputs, calculation steps, outputs and principal assumptions, including the regional GDP-per-capita estimates and corresponding NUTS regions used for economic scaling. Only present-condition flood maps are used. The results are intended for regional screening and comparison and do not represent expected annual damage or indirect socioeconomic losses.

Files

river_flooding_methodology_and_maps.zip

Files (16.0 MB)

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md5:51ad37fcdacf2e219d95791962253adb
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Additional details

Funding

European Commission
ClimEmpower - User driven climate applications empowering regional resilience 101112728

Software

Programming language
Python