ECCC-MESH is the hydrologic land-surface scheme (HLSS) of Environment and Climate Change Canada’s (ECCC’s) community environmental modelling system, which contains physics from its numerical weather and land-surface prediction systems. This workshop will highlight scientific updates from ECCC’s Science and Technology Branch as well as functional updates applicable for research, development, and its use for operations. Use cases will highlight how MESH can be used to represent various types of model workflows and data structures, including the processes for setting up diagnostic point-based runs, grid-based domains, HRU/vector-based domains, and multi-resolution hybrid setups. Sample experiments will consider short-term forecasting, medium-term re-analysis, and multi-decadal climate scenarios. Participants will learn the capabilities of MESH and how to apply it as an effective modelling tool. Date: Monday, June 15, 2026 (AM Half Day) Cost: $20
Monday June 15, 2026 8:30am - 12:00pm CDT Roosevelt Room
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
