HydroSphereAI Featured in Water Canada’s January/February 2026 Magazine

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.

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HydroGeoSphere Development 2025: The Year in Review - Aquanty Webinar
Events, Webinars, Hydrologic forecasting, HGS Veljko Zaric Events, Webinars, Hydrologic forecasting, HGS Veljko Zaric

HydroGeoSphere Development 2025: The Year in Review - Aquanty Webinar

We’re pleased to share the recording of our webinar ‘HydroGeoSphere Development 2025: The Year in Review’. This session, presented by Dr. Killian Miller, Numerical Analysis Specialist at Aquanty, looks back at a year of major advancements to the HydroGeoSphere platform— highlighting new features, performance improvements, and key structural updates across the HGS ecosystem.

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HydroClimateSight Feature Highlight: Real-Time Soil Moisture Forecasting on Demand

HydroClimateSight Feature Highlight: Real-Time Soil Moisture Forecasting on Demand

At Aquanty, we're redefining how soil moisture forecasting is done in precision agriculture. Our latest innovation brings together real-time weather data, advanced hydrologic modelling, and cloud automation to deliver accurate, hyper-local soil moisture forecasts, on demand, at the click of a button. Built for farmers, consultants, researchers, and planners, this tool provides the insights needed to optimize irrigation, support crop health, and plan field operations with confidence.

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HydroClimateSight Feature Highlight: Unlock Powerful Insights with HydroClimateSight’s Remote Sensing Map Layers

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.

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Assessing the Sensitivity of Subsurface Mine-Dewatering Simulations to Surface Water Representation - Aquanty Webinar

Assessing the Sensitivity of Subsurface Mine-Dewatering Simulations to Surface Water Representation - Aquanty Webinar

Explore how surface water representation shapes subsurface mine-dewatering simulations in our latest webinar with Dr. Andrea Brookfield (University of Waterloo). This session highlights how climate change and surface water interactions can significantly influence dewatering strategies across mining operations.

Using HydroGeoSphere, the webinar compares conventional groundwater-only models with fully integrated surface–subsurface simulations under future climate scenarios. The results reveal important limitations of traditional approaches and show how integrated models provide more accurate insights for long-term mine water management.

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HydroClimateSight Feature Highlight: Understanding Ensemble vs Deterministic Forecasting in HydroSphereAI

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.

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HydroSphereAI Case Study: Crowe River Near Glen Alda

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.

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