Aquanty Newsletter - March 2025

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Message from the President

As we move into April, we’re excited to share key updates from the past month at Aquanty. Sustainable water management was a key focus this month, as March was filled with valuable discussions, a new data release for Canada1Water— all driving innovation in water resource management.

Last week we attended the 2025 Farmland Forum, where discussions focused on the critical link between water protection and farmland preservation.

We are also excited to announce an upcoming webinar on HydroSphereAI, our machine-learning-driven hydrological forecasting tool.

This month also saw the release of another dataset on the Canada1Water data portal. This high-resolution dataset (1/12th degree) provides monthly total precipitation and minimum/maximum temperatures across Canada and the U.S. from 1991–2020, providing a standardized baseline for hydrological modelling and climate assessments.

With so many exciting developments, we look forward to continuing these conversations with our partners, clients, and the broader water resources community. As always, if you’re working on a study using HydroGeoSphere (HGS) and are interested in presenting in a future webinar, reach out— we’d love to collaborate!

As a final note, we’re looking for a Modelling Co-Op Student to join our team. If you— or someone you know— are a 3rd or 4th-year student (in Canada) focused on Earth Sciences, Environmental or Geological Engineering, Hydrology, or GIS please reach out for a great opportunity to gain hands-on experience in numerical modelling, GIS, and data analysis.

- Steve Berg, President & CEO, Aquanty Inc.

Upcoming Webinar: HydroSphereAI - Machine Learning-Driven Insights and Hydrological Forecasting in a Changing Climate

We’re excited to announce our upcoming HydroSphereAI webinar on May 21st! Join Dr. Andre Erler as he explores how our ML-driven approach to hydrological forecasting enhances streamflow predictions—even in ungauged basins.

The session will cover:

How Machine Learning improves forecasting accuracy beyond traditional rainfall-runoff models
Real-time data integration for enhanced operational predictions
A live demonstration of the HydroSphereAI decision-support platform

Don’t miss this opportunity to witness AI-driven hydrological forecasting in action.

Register Here

Effects of soil heterogeneity and preferential flow on the water flow and isotope transport in an experimental hillslope

This research highlight, co-authored by Aquanty’s senior scientist Hyoun-Tae Hwang, explores the interplay between soil heterogeneity, preferential flow, and isotopic tracing to better understand water flow and transport dynamics in hillslope systems. Using HydroGeoSphere (HGS), the team simulated coupled surface and subsurface water flow and isotope transport in an artificial hillslope environment.

Read More

Variably saturated dual-permeability flow modeling to assess distributed infiltration and vadose storage dynamics of a karst aquifer

This paper featured in the Journal of Hydrology provides a perfect case study of the dual continuum formulation supported by HydroGeoSphere, which couples two separate continua, with the first continuum represented by the porous medium. In this case, the 2nd continuum is used to represent the presence of large porosity features (i.e. fractures, conduits and caves) throughout a karstic aquifer.

Read More.

Spatiotemporal estimation of groundwater and surface water conditions by integrating deep learning and physics-based watershed models

This research highlight, co-authored by Aquanty’s senior scientist Hyoun-Tae Hwang, explores the integration of deep learning (DL) models with physics-based hydrological models to enhance groundwater and surface water predictions. The study uses HydroGeoSphere (HGS) coupled with convolutional neural networks (CNNs) to significantly improve computational efficiency without compromising spatial resolution.

Read More.

Canada1Water Update: New 30-Year Climate Dataset Now Available
We’re excited to announce the release of the Canada1Water (C1W) 30-Year Climate Dataset! This high-resolution dataset (1/12th degree) provides monthly total precipitation and minimum/maximum temperatures across Canada and the U.S. from 1991–2020, offering a valuable climate baseline for research and decision-making.

Developed using observed climate data from Environment and Climate Change Canada (ECCC) and the National Oceanic and Atmospheric Administration (NOAA), these seamless geospatial grids support hydrological modelling, climate change assessments, and resource management. The dataset provides a standardized climate baseline to help researchers, policymakers, and industry professionals analyze regional trends and inform decision-making. Datasets are now available for download through the Canada1Water data portal. Register your free account to begin exploring available data layers!

Click here to learn more and explore the dataset.

Additionally, here is a roundup of the big picture "Water Issues" highlighted on the C1W blog this month:

Intro to HydroGeoSphere

Next session: April 2, 2025
Every month Aquanty's technical sales lead Brayden McNeill delivers a FREE half-day training session. Our Introduction to HydroGeoSphere training sessions cover essential topics such as the basic HGS workflow, the essential components of a *.grok file and using Tecplot 360 to visualize model results.

REGISTER FOR TRAINING SESSION

HGS Software Release

Find our monthly HGS software update on our 'HGS Downloads' page, the March 2025 software update is now available. The latest update brings enhanced error checking, new boundary condition options, and improved data resampling for greater precision and flexibility in HGS simulations.

1. New pressure head specified head boundary condition, expanding boundary condition options for improved model flexibility.

2. Improved density-dependent flow computations, refining accuracy in simulations involving variable-density fluids.

3. New commands for mesh file exports and hydrologic property scaling, providing more control over model parameterization.

4. New vertical slice flux by sheet command, delivering more detailed fluid flux reporting across porous medium layers.

As always, we are committed to the continued improvement to the user experience. Do you have suggestions for new commands or improvements to the user experience? Send your ideas to [email protected]!

Read the release notes to see recent improvements to HydroGeoSphere.

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