

Target Times
This week, we’re highlighting two commands that allow for greater flexibility in defining target times during your HydroGeoSphere simulations: target times and generate target times.

Making use of the scaling factor command in boundary conditions
This post describes how to use the scaling factor command to adjust time series inputs directly within a boundary condition block in your prefix.grok file. Conceptually, this allows users to scale boundary condition inputs— like fluxes or concentrations— on the fly, without needing to modify large or externally sourced input files. While a straightforward use is unit conversion, we find this command especially useful for quick input calibration during model tuning, allowing users to easily explore how different scaling choices influence model results.

Interpreting phgs.exe output during a simulation
This post explains how to interpret the runtime output generated by HGS during each timestep while computing the flow solution. The output is useful for tracking the convergence of the simulation and diagnosing potential performance issues. Conceptually, the runtime output helps monitor the progress of the simulation and iteration steps, providing critical information on how the solver is performing. By understanding the output, users can adjust their simulation parameters and ensure accurate results. We find this detailed output particularly valuable when troubleshooting and improving model performance.

Output Peclet Number
This post highlights a key tool for evaluating solute transport and density-dependent flow models: the output peclet number command. When building these models, a common approach is to first establish a steady-state flow solution, then validate transport using flow outputs as initial conditions, and finally introduce density dependence if needed.
HGS RESEARCH HIGHLIGHT - Simulating Climate Change Impacts on Surface Water Resources within a Lake Affected Region using Regional Climate Projections
This study aims to assess the impact of climate change on water resources in a large watershed within the Laurentian Great Lakes region, using the fully‐integrated surface‐subsurface model HydroGeoSphere. The hydrologic model is forced with an ensemble of high‐resolution climate projections from the Weather Research and Forecasting model (WRF). The latter has been extended with an interactive lake model (FLake) to capture the effect of the Great Lakes on the regional climate. The WRF ensemble encompasses two different moist physics configurations at resolutions of 90km, 30km, and 10km, as well as four different initial and boundary conditions, so as to control for natural climate variability. The integrated hydrologic model is run with a representative seasonal cycle, which effectively controls natural climate variability, while remaining computationally tractable with a large integrated model.