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Evaluating surface and subsurface fluxes in hydrological models to advance basin-scale operational water supply forecasting

CSS Publication Number
CSS24-40
Full Publication Date
August 1, 2024
Abstract

Comprehensive assessments of hydrological components are crucial for enhancing operational water supply simulations. However, hydrological models are often evaluated based on their surface flow simulations, while the validation of subsurface and groundwater components tends to be overlooked or not well documented. In this study, we evaluated the outputs of two hydrological models, the Large Basin Runoff Model (LBRM) and the Weather Research and Forecasting – Hydrological modeling extension package (WRF-Hydro), for potential implementation in operational water balance forecasting in the Great Lakes region. We examined the simulated hydrological variables including surface (e.g. snow water equivalent, evapotranspiration, and streamflow), subsurface (e.g. soil moisture at different layers), and groundwater components with observed or reference data from ground-based stations and remotely sensed images. The findings of this study provide valuable insights into the capabilities and limitations of each model. These findings contribute to more informed water management strategies for the Great Lakes region.

Co-Author(s)
Lauren M. Fry
Aubrey Dugger
James Kessler
Satbyeol Shin
Research Areas
Water Resources
Keywords

Shin, S., Gronewold, A. D., Fry, L. M., Dugger, A., & Kessler, J. (2024). Evaluating surface and subsurface fluxes in hydrological models to advance basin-scale operational water supply forecasting. Hydrological Sciences Journal, 1–18. https://doi.org/10.1080/02626667.2024.2378100

Publication Type
Journal Article
Digital Object Identifier
https://doi.org/10.1080/02626667.2024.2378100