SynxFlow
SynxFlow: A GPU-accelerated Python package for multi-hazard simulations - Published in JOSS (2025)
BG_Flood
Numerical model for simulating shallow water hydrodynamics on the GPU using an Adaptive Mesh Refinment type grid. The model was designed with the goal of simulating inundation (River, Storm surge or tsunami). The model uses a Block Uniform Quadtree approach that runs on the GPU but the adaptive/multi-resolution/AMR is being implemented and not yet operational. The core SWE engine and adaptivity has been inspired and taken from St Venant solver from Basilisk and the CUDA GPU memory model has been inspired by the work from Vacondio _et al._2017)
https://github.com/bennyistanto/erm
Extreme rainfall monitoring, will it trigger a flood?
https://github.com/dapoznanski/seasonal-drivers-storm-tide-impacts
This repository includes the necessary code to create figures from "Seasonal drivers of storm tides and flood impacts along the US Atlantic Coast."
dask-flood-mapper
Map floods with Sentinel-1 radar images. We replicate in this package the work of Bauer-Marschallinger et al. (2022) on the TU Wien Bayesian-based flood mapping algorithm. This implementation is entirely based on Dask and data access via STAC with odc-stac.
ras2fim
Creation of flood inundation raster libraries and rating curves from HEC-RAS models.