David Lapen

Agriculture and Agri-Food Canada
Project Title: Developing real-time hyper-resolution simulation capability for the HydroGeoSphere (HGS)
Industry Partner: Aquanty Inc.
Project Partner: Ed Sudicky
Platform: Cloud Analytics

Digital Media Water

Real-time hydrologic modelling with physics based tools such as HydroGeoSphere (HGS) requires a HPC platform that can facilitate multiple concurrent simulations that have inter-simulation data sharing capability, as well as the ability to feed real-time input data to the simulations while also extracting and visualizing real-time model output data. Typically, a watershed scale HGS model requires 8 to 12 cores on a shared memory platform for a single simulation to run efficiently, and for real-time simulations it is expected that at least 3 to 5 simulations will need to run concurrently. Furthermore, each simulation can easily generate 250 Gb of model output data, which leads to large data storage and data manipulation requirements when the output from numerous simulations is combined into a single database. While the technical challenges are significant, a real-time HGS simulation platform will be the first physics based modelling tool available for use by water resource managers and water related risk specialists from many fields, including agriculture, insurance, transportation and infrastructure management. The potential market for this type of modelling platform is global in scale.