Aquanty Featured in WaterPower Canada Guest Blog: Navigating Climate Change in Hydropower

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.

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HydroSphereAI Featured in Water Canada’s January/February 2026 Magazine

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.

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HydroSphereAI Case Study: Crowe River Near Glen Alda

HydroSphereAI Case Study: Crowe River Near Glen Alda

In late March 2025, the Crowe Valley Conservation Authority issued a Flood Watch across the watershed in response to a forecasted storm system and ongoing spring runoff. Forecasted rainfall, saturated soils, and an above-average snowpack created the right conditions for elevated streamflows, particularly in the Crowe River watershed. With a peak spring snow water equivalent (SWE) of 149.2 mm, the basin was primed for rapid hydrologic response—culminating in a strong single peak on April 6, when flows at Water Survey of Canada hydrometric Station 02HK005 reached 45.2 m³/s.

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HydroSphereAI Case Study: Sydenham River at Florence

HydroSphereAI Case Study: Sydenham River at Florence

In early April 2025, the St. Clair Region Conservation Authority issued a Flood Warning for the Sydenham River watershed, anticipating a significant rise in flows as a forecasted weather system approached the region. With much of the snowpack already depleted— leaving a modest 39.1 mm of snow water equivalent (SWE)— the primary concern was intense rainfall over already saturated ground. For the Sydenham River at Florence (Station 02GG003), this event culminated in a peak flow of 169.0 m³/s on April 4, surpassing the 2-year flood threshold of 143.3 m³/s and coming close to the 5-year return period marker of 183.7 m³/s.

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HydroSphereAI Selected as Finalist for New Tech Award - Water Canada Awards

HydroSphereAI Selected as Finalist for New Tech Award - Water Canada Awards

Aquanty Inc. is proud to announce that we have once again been selected as a finalist for the New Tech Award at the 2025 Water Canada Awards for our cutting-edge, machine-learning-based streamflow forecasting system, HydroSphereAI.

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HydroSphereAI Case Study: Sauble River at Allenford — Spring Melt 2025

HydroSphereAI Case Study: Sauble River at Allenford — Spring Melt 2025

Using HydroSphereAI to anticipate and understand flood risks in real time and in retrospect. In late March and in the first days of April 2025, the Grey Sauble Conservation Authority issued an “All Watersheds” Flood Watch in anticipation of significant rainfall and elevated flows. A forecasted weather system was expected to bring up to 50 mm of total precipitation, following weeks of already saturated conditions. For the Sauble River at Allenford (Station 02FA004), this setup resulted in two distinct streamflow peaks within a five-day span— first on March 30, then again on April 3. Looking at both peaks, HydroSphereAI consistently delivered strong performance in predicting the structure and timing of the events.

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HydroSphereAI: Next-Generation Hydrological Forecasting & AI-Driven Insights for a Changing Climate

HydroSphereAI: Next-Generation Hydrological Forecasting & AI-Driven Insights for a Changing Climate

We’re excited to share the recording of our recent webinar, HydroSphereAI: Machine Learning-Driven Insights and Hydrological Forecasting in a Changing Climate.

This session offers a deep dive into how cutting-edge machine learning approaches are transforming streamflow prediction and hydrological forecasting across Canada.

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HydroSphereAI featured in OWC’s Innovation Showcase

HydroSphereAI featured in OWC’s Innovation Showcase

We’re proud to share that Aquanty’s cutting-edge hydrological forecasting tool HydroSphereAI is now featured in the Ontario Water Consortium (OWC) Innovation Showcase. The OWC highlights our machine-learning based streamflow forecasting tool, designed to address the complex water management challenges of today and position Aquanty as a leader in hydrological forecasting solutions.

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