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.
Setting up hydrodynamic models typically requires many (manual) steps to process input data and might therefore be time consuming and hard to reproduce. Especially improving models based on global geospatial datasets, which are rapidly becoming available at increasingly high resolutions, might be challenging. HydroMT-SFINCS aims to make the model building process fast, modular and reproducible and to facilitate the analysis of SFINCS model results.
Release Notes
The application of HydroMT-SFINCS is demonstrated in Jupyter Notebooks developed in interTwin (https://github.com/interTwin-eu/DT-flood/tree/DemonstrationNotebooks).
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-SFINCS plugin offers capabilities to easily set up and run SFINCS using globally available data.
Users can select flood walls, levees, pumps and culverts as flood mitigation and adaptation measures.
Future Plans
In the next release capabilities will be created so that a user can
- Easily run long hindcast and ensemble simulations and produce probabilistic flood maps using the flood inundation model (SFINCS).
- Easily run the flood inundation model (SFINCS) using locally available data.
- Select urban green infrastructure as a flood mitigation and adaptation measure.
