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.
“Homegrown Technologies Could Play a Key Role in the World’s Water Future” - Aquanty Featured in CWRA’s Water News Magazine
We’re proud to share that Aquanty has been highlighted in a recent issue of the CWRA’s Water News Magazine. This article explores the innovative tools we’ve developed to tackle 21st-century water resource challenges, positioning Aquanty as a leader in hydrologic system modelling both in Canada and internationally.
Announcing HydroClimateSight - Aquanty’s comprehensive suite of web services
As we continue to develop new technologies, we’ve realized the necessity to reformulate the way that these technologies are presented/communicated to our stakeholders. With that in mind, we’re here to announce the rebirth of our suite of web-based technologies as HydroClimateSight (HCS). HCS brings all of our technologies together under a common umbrella, providing users with a comprehensive suite of tools to support decision making with best-in-class, physics and AI-based hydro-climatological forecasting. Read-on to learn more about the unique value that Aquanty can offer by combining a comprehensive suite of weather, climate and hydrological prediction tools.
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.
Aquanty Selected as Finalist for New Tech Award for Machine-Learning Based Streamflow Forecasting
Aquanty Inc. is proud to have been selected as finalists for the New Tech award at the annual Water Canada Awards. This award recognizes a groundbreaking new product at the forefront of technological innovation in the Canadian water sector.
Ontario Water Consortium - WIG Project Highlight: Using machine learning to make flood forecasts less wishy-washy
The Ontario Water Consortium has written an excellent article which reviews Aquanty’s latest technology driven initiative that can be used to manage water resources. With support from the Ontario Water Consortium’s Water Industry Growth Program, Aquanty is making machine-learning (i.e. artificial intelligence) driven real-time flood forecasting a reality.
Introducing the HydroGeoSphere Interface - Aquanty Webinar
The HGS Interface is a GUI for HydroGeoSphere that has been built into Aquaveo’s flagship Groundwater Modeling System (GMS), one of the world’s premier software packages for subsurface hydrological simulations. With the introduction of the extremely powerful HydroGeoSphere simulation engine, GMS v10.8 users will be able to construct fully-integrated groundwater-surface water models powered by HydroGeoSphere!
HydroGeoSphere Research Paper wins Water Resources Research Editors’ Choice Award
We’d like to highlight a terrific achievement in the HydroGeoSphere user community, and send a hearty congratulations to Dr. James Thornton and his research team for winning the 2022 Editors’ Choice Award from the Water Resources Research journal.
Manitoba Cooperator - Field-level water forecasts: There’s an app for that
The Manitoba Cooperator has written an excellent article (with comments from Dr. Steve Frey, Aquanty’s Director of Research Services) which reviews some of the new technology driven initiatives to manage water resources throughout Manitoba, with a specific focus on the newly developed MFGA Aquanty Forecasting Tool - a real-time hydrologic forecasting system for decision-support around water movement, soil health, climate risk assessment & mitigation in the Assiniboine River Basin and Pembina River watersheds.