Scripts to simulate coastal flood hazard at the global scale based on near-shore still water levels using a simple GIS routing.
These scripts were initially developed for Aqueduct Floods. See publication list for more background.

1. Install python using the miniconda distribution from conda.
2. Install all required dependencies using conda env create -f environment.yml with the provide environment.yml file. Note that the scripts requires python 2.7.
3. Install PCRaster 4.2, see quick-start-guide
4. Start the inun conda environment with conda activate inun
5. Prepare the ini file with references to the a DEM and forcing datasets, see example configuration.
6. Run the model from CLI with e.g. python scripts\coastal_inun.py -i coastal_inun.ini -d <output.nc> -b <waterlevels.nc> -v <waterlevel_variable_name> -s <sealevel_map.tif>

• Haer, T., et. al.: Coastal and river flood risk analyses for guiding economically optimal flood adaptation policies: A country-scale study for Mexico, Philos. Trans. R. Soc. A Math. Phys. Eng. Sci., 376(2121), 20170329, doi:10.1098/rsta.2017.0329, 2018.
• Tiggeloven, T., et. al.: Global-scale benefit–cost analysis of coastal flood adaptation to different flood risk drivers using structural measures, Nat. Hazards Earth Syst. Sci., 20(4), 1025–1044, doi:10.5194/nhess-20-1025-2020, 2020.
• Ward, P. J., et. al.: Aqueduct Floods Methodology, Washington D.C. Available from: https://www.wri.org/publication/aqueduct-floods-methodology, 2020.

• Dirk Eilande (@DirkEilander)
• Hessel C. Winsemius (@hcwinsemius)
• Gundula Winter

Copyright (c) Deltares

Distributed under GPL V3 Licencse, see LICENSE