Thematic Modules: Environment


Hydrological model data processing
Updated 12/02/2024


An open-source Python package that facilitates the process of building and analysing spatial geoscientific models with a focus on water system models. It does so by automating the workflow to go from raw data to a complete model instance which is ready to run and to analyse model results once the simulation has finished. This plugin provides an implementation of the model API for the SFINCS model.

With the HydroMT-FIAT plugin, users can easily benefit from the rich set of tools of the HydroMT package to build and update Delft-FIAT models from available global and local data.

This plugin assists the FIAT modeller in:

  • Quickly setting up a Delft-FIAT model based on existing hazard maps, global and user-input exposure layers, and a global database of vulnerability curves
  • Adjusting and updating components of a FIAT model and their associated parameters in a consistent way, e.g., to test measures that affect the exposure or vulnerability of a FIAT model or to improve an existing FIAT model with better quality data
  • Building FIAT models in a reproducible and consistent way

Release Notes

The application of HydroMT-FIAT is demonstrated in Jupyter Notebooks developed in interTwin (

A pilot implementation is being run on a Virtual Machine at DESY where the Notebooks are being adapted to leverage the pilot interTwin datalake.

This release offers examples of how to set up and run SFINCS and Delft-FIAT. The HydroMT-FIAT plugin offers capabilities to easily set up and run Delft-FIAT using globally available data.

Users can select raising properties, floodproofing properties and buying out neighbourhoods as flood mitigation and adaptation measures.

Future Plans

In the next release capabilities will be created so that:

  • Users can specify a geographic area of interest and a minimal number of model-specific parameters, and SFINCS to simulate flood inundation is automatically set up using locally available data.
  • Users can easily run the flood inundation model (SFINCS) using locally available data.
Target Audience
  • Expert users
  • Flood risk specialists


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