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.
HydroGeoSphere Canada Day Software Sale Announcement
To mark Canada Day and celebrate the impact of Canadian-made technology in the field of hydrology, we’re offering exclusive discounts throughout the month of July for all new commercial users of HydroGeoSphere!
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.
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.
The Impact of SW-GW flow interactions for regional scale simulation of hydraulic heads: application in the south Quebec regional hydro system - Aquanty Webinar
A recording of our November 19th, 2024 webinar is now released.
This insightful session unpacks how the interplay between surface water (SW) and groundwater (GW) influences the accuracy of hydraulic head simulations in Southern Quebec, a region with significant water management challenges.
Assessing Groundwater and Surface Water Contributions to Evapotranspiration in a Semi-Arid Watershed - Aquanty Webinar
A recording of our October 30th, 2024 webinar is now released.
This session delves into how groundwater (GWET) and surface water (SWET) shape actual evapotranspiration (AET) dynamics in the North Saskatchewan River Basin— a vital area for understanding water balance in semi-arid regions.
Intro to HGS-PDAF (version 1.0) - Aquanty Webinar
A recording of our August 12st, 2024 webinar is now released.
In this recording of our recent webinar, we introduced HGS-PDAF (version 1.0)—a groundbreaking tool that enhances hydrological modeling through the integration of real-time data assimilation.
Canada1Water - Research and Development Phase 1 Report
We are thrilled to announce the release of the Canada1Water (C1W) report, a groundbreaking achievement in the field of hydrology and water resource management. The C1W report represents the first-ever continental-scale model of Canada's entire water cycle, offering a comprehensive understanding of how water moves, accumulates, and changes across the vast Canadian landscape.
"HGSRT: Physics-based hydrologic forecasting, powered by HydroGeoSphere" - Aquanty Webinar
A recording of our July 17th, 2024 webinar is now released.
In this webinar, we dive into the revolutionary capabilities of our physics based hydrologic forecasting platform - a cutting-edge cloud-based computing system transforming hydrological forecasting. By integrating near-real-time field observations, remote sensing products, and meteorological predictions, this platform provides unparalleled accuracy and reliability in hydrological forecasts.
"HydroSphereAI: Machine Learning for Flood and Drought Forecasting" - Aquanty Webinar
Aquanty has developed a new machine-learning model that can produce highly accurate streamflow forecasts hours or days into the future. We are currently working on integrating these new capabilities into our suite of web-based water decision support tools. As one of the only companies in Canada currently doing this kind of forecasting, we are well positioned to meet a growing need for advanced forecasting tools. ML-based streamflow forecasts are currently available for a small selection of watersheds in southwestern Ontario through Aquanty’s HGSRT web platform.