HydroSphereAI Case Study: Spring Freshet Forecasting for Hydropower Risk Awareness – Vermilion River Ontario (Station: 02CF011 - VERMILION RIVER NEAR VAL CARON) – April 2026
Between April 15 and April 22, 2026, watersheds across Greater Sudbury experienced a significant spring flood event driven by rapid snowmelt and sustained rainfall. A Flood Warning issued by Conservation Sudbury highlighted elevated inflows across the region, including the Vermilion River system near Val Caron.
While the Vermilion River is not a regulated hydropower system, Water Survey of Canada Station 02CF011 (Vermilion River near Val Caron) provides a comparable watershed area for understanding naturalized inflow dynamics relevant to hydroelectric operations across northern Ontario.
This case study demonstrates how HydroSphereAI (HSAI) captured the timing and magnitude of peak flows during a complex spring freshet event, and how similar forecasting capability can support hydropower decision-making.
HydroSphereAI Case Study: Nanaimo River Near Cassidy – January 2026 High-Flow Event
On January 12, 2026, the Nanaimo River near Cassidy (Water Survey of Canada Station 08HB034) experienced a significant high-flow event, cresting at the 2-year flood mark. Winter storm systems sweeping across Vancouver Island brought prolonged precipitation to the watershed, driving river discharge well above average levels for the season. This case study highlights how an early release version of HydroSphereAI (HSAI) tracked the event and how this information could be used by stakeholders and water managers.
Aquanty Featured in WaterPower Canada Guest Blog: Navigating Climate Change in Hydropower
We’re pleased to share that Aquanty recently contributed a guest blog post to WaterPower Canada, authored by Dr. Andre Erler, Senior Climate Scientist at Aquanty. The article “Harnessing Advanced Hydrologic Models to Help Canadian Hydroelectric Operators Navigate Climate Change” explores how advanced hydrologic modelling and forecasting tools can help Canadian hydroelectric operators navigate increasing uncertainty driven by climate change.
HydroSphereAI Featured in Water Canada’s January/February 2026 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.
HydroGeoSphere Development 2025: The Year in Review - Aquanty Webinar
We’re pleased to share the recording of our webinar ‘HydroGeoSphere Development 2025: The Year in Review’. This session, presented by Dr. Killian Miller, Numerical Analysis Specialist at Aquanty, looks back at a year of major advancements to the HydroGeoSphere platform— highlighting new features, performance improvements, and key structural updates across the HGS ecosystem.
HydroSphereAI Case Study: Wakeman River
During October and November 2025, a series of back-to-back Pacific storm systems brought steady rainfall across the central coast of British Columbia. Such events are a common occurrence in the Pacific Northwest and are intensifying in a warmer climate.
Introducing hgs2vtu for HGS model post-processing - Aquanty Webinar
We’re pleased to share the recording of our recent webinar introducing hgs2vtu.exe, the powerful new post-processing utility designed to modernize and streamline visualization of HydroGeoSphere (HGS) model outputs.
HydroClimateSight Feature Highlight: Real-Time Soil Moisture Forecasting on Demand
At Aquanty, we're redefining how soil moisture forecasting is done in precision agriculture. Our latest innovation brings together real-time weather data, advanced hydrologic modelling, and cloud automation to deliver accurate, hyper-local soil moisture forecasts, on demand, at the click of a button. Built for farmers, consultants, researchers, and planners, this tool provides the insights needed to optimize irrigation, support crop health, and plan field operations with confidence.
HydroSphereAI — Aquanty’s Artificial Intelligence Platform — has won the Water Canada New Tech Award for 2025.
Aquanty is proud to announce that our latest innovation — HydroSphereAI — has won the New Tech Award at the 2025 Water Canada Awards.
HydroClimateSight Feature Highlight: Unlock Powerful Insights with HydroClimateSight’s Remote Sensing Map Layers
Modern water and land resource management relies on timely, reliable, and spatially detailed data. Aquanty’s HydroClimateSight platform empowers decision-makers by integrating a diverse set of authoritative datasets into a range of physics-based and machine-learning based hydrologic models. HydroClimateSight provides direct access to many of these datasets through the Remote Sending tab to help users better understand the datasets that go into these models. Let’s review some of the available data layers that give HCS users visual and analytical insights sourced from globally recognized organizations, government agencies, and open-data initiatives.