Brayden McNeill 4/23/21 Brayden McNeill 4/23/21

Research Highlight - Ice Roughness Estimation via Remotely Piloted Aircraft and Photogrammetry

Brayden McNeill 4/21/21 Brayden McNeill 4/21/21

HGS RESEARCH HIGHLIGHT – Hydraulic tomography analysis of municipal-well operation data with geology-based groundwater models

The study highlighted this week is focused on the estimation of aquifer parameters (e.g. hydraulic conductivity and specific storage) through inverse modeling of water-level data from observation wells collected during municipal well operations. The data is tested using four different conceptual geological models in HydroGeoSphere coupled to PEST, and the results indicate that this is a viable method of estimating reliable parameter values using existing data sets (providing a valuable new dimension to data collected during municipal well operations).

Brayden McNeill 3/30/21 Brayden McNeill 3/30/21

HGS RESEARCH HIGHLIGHT – Investigating groundwater-lake interactions in the Laurentian Great Lakes with a fully-integrated surface water-groundwater model

Brayden McNeill 3/17/21 Brayden McNeill 3/17/21

HGS RESEARCH HIGHLIGHT – Fully-Integrated Groundwater-Surface Water Forecasting in Two Contrasting Hydrostratigraphic Settings within Southern Ontario

Brayden McNeill 3/2/21 Brayden McNeill 3/2/21

HGS RESEARCH HIGHLIGHT – Dual-permeability modeling of preferential flow and snowmelt partitioning in frozen soils

Brayden McNeill 1/17/19 Brayden McNeill 1/17/19

Groundwater Journal's Special Section on Integrated Hydrologic Modeling

Brayden McNeill 12/5/18 Brayden McNeill 12/5/18

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.