Description: Learn the fundamentals of modeling compound flooding events with the SFINCS (Super-Fast Inundation of CoastS) model in a half-day training. This course introduces SFINCS’s core concepts, fast computation approach, and practical applications for large-scale coastal flooding and early warning systems.
The training is designed to give participants a clear understanding of SFINCS capabilities and hands-on experience running and interpreting a basic model setup.
What You’ll Learn – This half-day course combines concise theory with guided practical exercises.
Gain a conceptual understanding of compound flooding processes and the challenges of large-scale flood modeling.
Learn how SFINCS achieves high computational efficiency and where it fits within flood risk analysis and early warning workflows.
Explore the key components of a SFINCS model, including grids, boundary conditions, and forcing.
Run a pre-configured SFINCS model to simulate a flooding scenario.
Learn to interpret basic SFINCS outputs for rapid flood assessment and decision support.
This course focuses on understanding and using existing model setups rather than building a full model from scratch.
This training is intended for:
Project engineers, researchers, and PhD students with some experience in numerical modeling or programming
