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HydroGeoSphere Short Course: Introduction to Fully-Integrated Hydrologic Modelling


  • University of Ottawa 75 Laurier Avenue East Ottawa, ON, K1N 6N6 Canada (map)

SCW-B3 - HydroGeoSphere Short Course: Introduction to Fully-Integrated Hydrologic Modelling

Organizer: Brayden McNeill

Contact: bmcneill@aquanty.com

Join the Aquanty team for a two-day intensive course which explores the complete integrated hydrologic modelling process using HydroGeoSphere (HGS). This course consists of various lectures and exercises to explore topics such as: (i) the benefits of integrated hydrologic modelling; (ii) the governing equations that control flow in an HGS model; (iii) use of supporting software for model mesh generation and results visualization; (iv) model parameterization and conceptualization of boundary conditions; (v) numerical solution techniques and recommended settings optimal convergence and improved runtimes; and (vi) model convergence troubleshooting, model calibration and more. Participants will receive a temporary license of HydroGeoSphere (30-day), a temporary license of AlgoMesh (2-week), a copy of all course content including lectures (PDF) and exercises, and the opportunity to network with other HydroGeoSphere users and the software development team.

DATE: May 15-16 2025

LOCATION: Hybrid, virtual and in-person event. In-person location: University of Ottawa, 75 Laurier Avenue East, Ottawa, ON, Canada, K1N 6N6

The conference provides an opportunity for watershed district staff and board members to engage with industry professionals, decision makers, businesses, and each other. It provides a place for celebrating successes, community building, staying connected to new and emerging practices, education, and advocacy for the protection of our water resources.

Visit the conference website by clicking the links below, and discover the full speaker list, and registration details.

FOR MORE INFORMATION:

Visit GAC-MAC-IAH-CNC 2025 to learn more about the event and stay updated on program details.

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Webinar - HydroSphereAI: Machine Learning-Driven Insights and Hydrological Forecasting in a Changing Climate