HydroSphereAI Featured in Water Canada’s January/February 2026 Magazine
WATERCANADA.NET (2026) Ontario Canada. Available at: https://emagazine.watercanada.net/?pid=ODk8927512&p=25&v=2.1
The HydroSphereAI (HSAI) article in the January/February 2026 issue of the Water Canada Magazine.
We’re excited to share that HydroSphereAI (HSAI) is featured in the January/February 2026 issue of Water Canada, highlighting how machine learning is helping close critical gaps in streamflow forecasting across Canada.
The featured article, “Forecasting the Unpredictable,” explores how HydroSphereAI combines decades of hydrologic data with advanced Long Short-Term Memory (LSTM) machine-learning architecture to deliver scalable, real-time streamflow predictions— particularly in regions where physical gauging infrastructure is limited or unavailable. The feature emphasizes HSAI generalized algorithm which can be applied across thousands of catchments, enabling accurate forecasting in diverse environments, from Prairie basins and urban watersheds to northern and remote river systems.
The piece also highlights how HydroSphereAI complements, rather than replaces, traditional physics-based hydrologic modeling and long-standing national monitoring programs. By integrating large-scale historical datasets, watershed attributes, and daily weather forecasts, HSAI provides actionable insights that support flood risk management, infrastructure planning and climate resilience for municipalities, conservation authorities and water managers.
We’re proud to see HydroSphereAI recognized as part of the broader conversation on the future of hydrologic forecasting in Canada— and how advanced analytics can expand access to high-quality water intelligence.
Read the full feature online in Water Canada to learn how HydroSphereAI is helping forecast the unpredictable and strengthen water management across the country.