HGS RESEARCH HIGHLIGHT – Using High-Resolution Data to Test Parameter Sensitivity of the Distributed Hydrological Model HydroGeoSphere

HGS RESEARCH HIGHLIGHT – Using High-Resolution Data to Test Parameter Sensitivity of the Distributed Hydrological Model HydroGeoSphere

By integrating HydroGeoSphere in this study, the researchers demonstrate its versatility in accommodating high-resolution data and conducting sensitivity analyses across different spatial scales. Precipitation emerges as the most sensitive input data, significantly influencing total runoff and peak flow rates. Additionally, the study highlights the importance of spatially distributed land use parameterization in accurately simulating evapotranspiration components and patterns.

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"Using Wetlands to Flatten the Hydrograph" - Webinar

"Using Wetlands to Flatten the Hydrograph" - Webinar

We were so pleased to see a presentation featuring HydroGeoSphere at this year's Latornell Conservation Symposium. The presentation (“Using Wetlands to “Flatten the Hydrograph”) was delivered by representatives from Ducks Unlimited Canada (DUC), and focused on a recent collaboration between DUC, Ontario Power Generation (OPG) and Aquanty. At the center of the project is an advanced integrated hydrologic model of the Dog Lake watershed in Northern Ontario.

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"Climate Change Impact Analysis using HydroGeoSphere" - Aquanty Webinar

"Climate Change Impact Analysis using HydroGeoSphere" - Aquanty Webinar

As the relevant components of the global climate (e.g. temperature and precipitation patterns/intensity) drift further from historically reliable patterns, it becomes harder and harder to rely on these historical patterns as part of hydrologic studies. This is why HydroGeoSphere is an incredibly powerful tool for long-term climate change impact analyses of hydrologic systems.

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HGS RESEARCH HIGHLIGHT – Upscaling Hydrological Processes for Land Surface Models with a Two-Hydrologic-Variable Model: Application to the Little Washita Watershed

HGS RESEARCH HIGHLIGHT – Upscaling Hydrological Processes for Land Surface Models with a Two-Hydrologic-Variable Model: Application to the Little Washita Watershed

The authors have used a 3D HydroGeoSphere model of a heavily studied sub-catchment (the Little Washita Watershed, Oklahoma) as a reference point to test the validity of much simpler modelling approaches. Results of the 3D HydroGeoSphere model are compared against a simpler 2D hillslope model, also constructed using HydroGeoSphere.

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HGS Research Highlight - Coupled atmospheric, land surface, and subsurface modeling: Exploring water and energy feedbacks in three-dimensions

This post highlights the recent study by Davison et al. (2015) on the coupling of HGS to an Atmospheric Boundary Layer (ABL) model. Implementing the coupled HGS-ABL model the authors found ...

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