Aquanty is investigating whether its HydroGeoSphere Real-Time (HGSRT) platform can forecast field-scale soil moisture for agricultural use, building on validated capabilities for river flow and groundwater level prediction. The proposed validation will leverage existing deployments to test forecast accuracy against field monitoring data.
Aquanty is exploring the extension of its HydroGeoSphere Real-Time (HGSRT) simulation platform to include soil moisture forecasting for field-scale agricultural applications. HGSRT is a physics-based hydrologic forecasting platform that has already demonstrated skill in predicting river flows and groundwater levels for 3 to 5 day future intervals. Because the platform fully closes the water balance across rivers, groundwater, and the soil profile, accurate representation of soil moisture is a governing factor in its existing forecasts. This initiative aims to validate whether that same numerical framework can deliver reliable soil moisture predictions that support agricultural decision-making.
The opportunity addresses a significant gap in operational hydrologic forecasting. While soil moisture is a critical variable for agriculture, current forecasting tools rarely integrate it with surface water and groundwater predictions in a single platform. Extending HGSRT's capabilities would provide farmers, watershed managers, and agricultural planners with a unified view of soil moisture conditions alongside water availability forecasts.
Platform and approach:
Proposed validation methodology:
The underlying HGSRT platform is at a high technology readiness level, having been validated for river flow, groundwater level, and tile drain flow forecasting across multiple watersheds in Canada. The specific soil moisture forecasting capability is at an earlier stage of development, with validation testing proposed as the next step. The validation procedure leverages existing platform deployments and archived weather data, enabling efficient assessment without requiring new infrastructure. If validation is successful, the soil moisture forecasting capability would extend an already operational platform to serve agricultural users with field-scale predictions.
Aquanty is a water science and technology firm that specializes in advanced hydrogeological computer modeling, predictive analytics, and real-time forecasting. Founded in 2012 as a spin-off from the University of Waterloo, the company developed the flagship HydroGeoSphere platform, a high-performance, three-dimensional integrated surface and subsurface hydrologic simulation tool. Its technology suite includes HydroClimateSight for decision support, HGS-RealTime for predictive forecasting, and HydroSphereAI, a machine-learning system designed to improve streamflow prediction. By utilizing a physics-based framework that models the entire terrestrial water cycle, the firm provides custom numerical modeling and research services tailored to complex environmental challenges.
These solutions enable government agencies, researchers, and industrial sectors—such as mining, agriculture, and infrastructure—to move from reactive responses to proactive water management and climate resilience planning. Aquanty’s work includes major continental-scale initiatives like Canada1Water, which assesses the impacts of climate change on national water resources, and collaborations with partners like the Canadian Oil Sands Innovation Alliance to evaluate watershed hydrology. Through its specialized expertise, the company helps organizations anticipate water-related risks, including droughts and floods, to support evidence-based decision-making. In 2025, Aquanty was acquired by Rocscience to further advance its leadership in hydroclimate analytics and software solutions.