

HydroClimateSight Feature Highlight: Unlock Powerful Insights with HydroClimateSight’s Remote Sensing Map Layers
Modern water and land resource management relies on timely, reliable, and spatially detailed data. Aquanty’s HydroClimateSight platform empowers decision-makers by integrating a diverse set of authoritative datasets into a range of physics-based and machine-learning based hydrologic models. HydroClimateSight provides direct access to many of these datasets through the Remote Sending tab to help users better understand the datasets that go into these models. Let’s review some of the available data layers that give HCS users visual and analytical insights sourced from globally recognized organizations, government agencies, and open-data initiatives.

HydroClimateSight Feature Highlight: Understanding Ensemble vs Deterministic Forecasting in HydroSphereAI
We’re excited to announce that short-range streamflow forecasting is now available in HydroSphereAI! Our new short-range forecasts offer detailed predictions for the day ahead with hourly output intervals. To address the lack of uncertainty information typical of deterministic systems, we’ve introduced a lagged ensemble approach, giving you a clearer picture of forecast confidence in the near term.

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.

Manitoba Cooperator - Farm climate adaptation on tap with MFGA project
The Manitoba Co-operator has featured the latest MFGA initiative, with comments from Dr. Steve Frey, Aquanty’s Director of Research Services, highlighting how advanced modelling is supporting more climate-resilient farming in Manitoba. The new project “Evaluating climate change impacts on Manitoba’s forage and grassland landscapes” will build on the MFGA Aquanty hydrologic model to simulate how changing climate conditions could impact water availability, land use, and agricultural sustainability across the Pembina Valley and Assiniboine West Watershed Districts.
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.

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.
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.

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.