MFGA Press Release - Healthy Grasslands Are Major Key to Future Ground Water Challenges and Climate Resilience
The Manitoba Forage and Grassland Association (MFGA) has released findings from a recent study with Aquanty examining how climate change could affect water resources and agricultural landscapes in southern Manitoba through 2050 and 2100.
The study, supported through Manitoba Environment and Climate Change Climate Action Funding, used the MFGA Aquanty Model to examine future climate conditions across three previously modelled watersheds: Pembina Valley, Swan Lake, and Oak River. The results highlight the increasingly important role that healthy grasslands and groundwater recharge could play in helping agricultural landscapes build resilience to future climate conditions.
Aquanty Featured in Ontario Water Consortium: Forecasting the Thaw: Building Hydrological Resilience Before the Crisis
We’re pleased to share that Aquanty has been featured in a new Ontario Water Consortium (OWC) article examining how advanced hydrological monitoring and forecasting technologies are helping Ontario strengthen resilience to floods, spring thaw events, and climate-driven watershed risks.
Aquanty Featured in University of Waterloo News: Reading the signs in the streams before emergencies unfold
We’re excited to share that Aquanty has been featured in a new story from University of Waterloo News, highlighting how our hydrologic modelling and forecasting technologies are helping communities anticipate water-related risks before they become emergencies.
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.
Manitoba Forage and Grasslands Association wins Water Canada innovation award
We’re proud to share that the Manitoba Forage and Grassland Association (MFGA) has been awarded the 2025 Early Adopter/Innovation Partnership Award from Water Canada for its pioneering work with Aquanty on hydrologic modelling in Manitoba.
The award recognizes outstanding collaborations that advance Manitoba and Canada’s water sector through innovation and partnership. MFGA earned this recognition for its leadership in applying Aquanty’s HydroGeoSphere-based modelling platform to better understand and manage water resources across agricultural landscapes.
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.
Staff Research Highlight - Quantifying the potential of using Soil Moisture Active Passive (SMAP) soil moisture variability to predict subsurface water dynamics
Aquanty staff investigate the potential for using near-surface soil moisture measurements from the Soil Moisture Active Passive (SMAP) satellite to predict subsurface soil moisture and groundwater storage dynamics. This research offers valuable insights into how satellite-based soil moisture data can inform large-scale hydrological modelling and support more effective water resource management.
Staff Research Highlight - Understanding topography-driven groundwater flow using fully-coupled surface-water and groundwater modeling
This research focuses on understanding the dynamics of topography-driven groundwater flow systems using fully-coupled surface–subsurface hydrologic modelling. This study addresses long-standing challenges in representing nested flow systems by simulating interactions between climate, topography, and groundwater without relying on potentially unrealistic, static boundary conditions.
Staff Research Highlight - Application of Different Weighting Schemes and Stochastic Simulations to Parameterization Processes Considering Observation Error
In this paper co-authored by Aquanty personnel, researchers explore how different weighting schemes and stochastic simulations can enhance the accuracy of parameter estimation processes, ultimately reducing uncertainty in climate change impact assessments.