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.
Staff Research Highlight - Spatiotemporal estimation of groundwater and surface water conditions by integrating deep learning and physics-based watershed models
We’re pleased to highlight this publication, co-authored by Aquanty’s senior scientist, Hyoun-Tae Hwang, which focuses on the integration of deep learning (DL) models with physics-based hydrological models to enhance the efficiency of estimating spatiotemporal groundwater and surface water conditions.
Staff Research Highlight - Assessment of hydraulic and thermal properties of the Antarctic active layer: Insights from laboratory column experiments and inverse modelling
We’re pleased to highlight this publication, co-authored by Aquanty’s senior scientist, Hyoun-Tae Hwang, which investigates the hydraulic and thermal properties of the Antarctic active layer using laboratory column experiments and HydroGeoSphere (HGS) for inverse modeling.
Staff Research Highlight - Water sources and threshold behaviors of streamflow generation in a mountain headwater catchment
We’re pleased to highlight this publication, co-authored by Aquanty’s senior scientist, Hyoun-Tae Hwang, which examines the water sources and threshold behaviours of streamflow generation in a mountain headwater catchment.
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.
HGS RESEARCH HIGHLIGHT – Modeling low-flow bedrock springs providing ecological habitats with climate change scenarios
In this research highlight, researchers used HydroGeoSphere (HGS) to investigate the impact of low-flow bedrock springs on ecological habitats under various climate change scenarios, with a focus on the effects on aquatic species such as salamanders. These bedrock springs are critical for sustaining ecosystems, and understanding their future dynamics is essential for effective conservation.
HGS RESEARCH HIGHLIGHT – Same soil, different climate: Crop model intercomparison on translocated lysimeters
In this research highlight, researchers explored the dynamics of crop modelling across diverse climatic conditions using translocated lysimeters. The study investigates how crop models perform when applied to the same soil under different climatic regimes, shedding light on the complex interplay between soil and crop dynamics amidst changing environmental conditions.
HGS RESEARCH HIGHLIGHT – How Does Topography Control Topography-Driven Groundwater Flow?
In a study led by Xiaolang Zhang, Jiu Jimmy Jiao, Wensi Guo, researchers have comprehensively explored the mechanisms governing topography-driven groundwater flow. Their research showcases the complexities between varying rainfall patterns, topographic features, and groundwater flow dynamics, offering invaluable insights into hydrological processes.