Articles | Volume 30, issue 18
https://doi.org/10.5194/hess-30-6057-2026
© Author(s) 2026. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/hess-30-6057-2026
© Author(s) 2026. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Investigating terrestrial water storage change in a western Canadian river basin with GRACE/GRACE-FO and fully-integrated groundwater – surface water modelling
Department of Geological Sciences and Geological Engineering, Queen's University, Kingston, Canada
Steven K. Frey
Aquanty Inc., Waterloo, Canada
Department of Earth and Environmental Sciences, University of Waterloo, Waterloo, Canada
Georgia Fotopoulos
Department of Geological Sciences and Geological Engineering, Queen's University, Kingston, Canada
John Crowley
Canadian Geodetic Survey, Surveyor General Branch, Natural Resources Canada, Ottawa, Canada
Shu Xu
Aquanty Inc., Waterloo, Canada
Omar Khader
Aquanty Inc., Waterloo, Canada
Department of Water and Water Structural Engineering, Zagazig University, HFQM+872, Shaibet an Nakareyah, Zagazig, Al-Sharqia Governorate, 7120001, Egypt
Hyung Eum
Alberta Environment and Protected Areas, Government of Alberta, Calgary, Canada
Babak Farjad
Alberta Environment and Protected Areas, Government of Alberta, Calgary, Canada
Andre R. Erler
Aquanty Inc., Waterloo, Canada
Department of Geography and Environmental Management, University of Waterloo, Waterloo, Canada
Anil Gupta
Alberta Environment and Protected Areas, Government of Alberta, Calgary, Canada
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This study determines the value of subsurface water for ecosystem services' supply in an agricultural watershed in Ontario, Canada. Using a fully integrated water model and an economic valuation approach, the research highlights subsurface water's critical role in maintaining watershed ecosystem services. The study informs on the sustainable use of subsurface water and introduces a new method for managing watershed ecosystem services.
Samaneh Sabetghadam, Christopher G. Fletcher, and Andre Erler
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Snow water equivalent (SWE) is an environmental variable that represents the amount of liquid water if all the snow cover melted. This study evaluates the potential of the Weather Research and Forecasting (WRF) model to estimate the daily values of SWE over the mountainous South Saskatchewan River Basin in Canada. Results show that high-resolution WRF simulations can provide reliable SWE values as an accurate input for hydrologic modeling over a sparsely monitored mountainous catchment.
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Hydrol. Earth Syst. Sci., 29, 215–244, https://doi.org/10.5194/hess-29-215-2025, https://doi.org/10.5194/hess-29-215-2025, 2025
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Satellite remote sensing only measures the near-surface soil water content. We demonstrate that satellite-based near-surface soil water variability is a strong reflection of deeper subsurface water fluctuation and quantifies the response time differences between dynamics of satellite near-surface soil water and water in the deeper subsurface. Result support the use of satellite near-surface soil water measurements as indicators and/or predictors of water resources in the deeper subsurface.
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Short summary
A HydroGeoSphere model which represents surface and groundwater is used to assess trends from 2002–2019 in water resources in Alberta, Canada and the driving factors behind these changes. Satellite-derived gravity data is compared to HydroGeoSphere model results; a strong correlation is identified. Components of water storage are assessed, namely groundwater, soil moisture, surface water, and snow. Fluctuations in water storage in Southern Alberta are linked to global climatic indices.
A HydroGeoSphere model which represents surface and groundwater is used to assess trends from...