This site requires Cookies enabled in your browser for login.
Updating ...
WaterNet Home
WaterNet
for
pour le
Canada
Menu
WaterNet
Home
GWFO
Home
Catalogue
Master Index
Data
Centre
X
Find Data By Variable Find Data By Site, Facility, or Deployable Show Near-realtime Telemetry (7 day)
Collections
X
Defaults
Select All
Websites
X
Global Water Futures Observatories (GWFO) Global Water Futures (GWF) Global Institute for Water Security (GIWS) International Network of Alpine Research Catchment Hydrology
Legacy Research Programs
X
Changing Cold Regions Network (CCRN) Drought Research Initiative (DRI) International Network of Alpine Research Catchment Hydrology (Legacy Site) Improving Processes & Parameterization for Prediction in Cold Regions Hydrology (IP3) The Mackenzie Global Energy and Water Cycle Experiment (GEWEX) Study (MAGS)
Legacy sites
Map
Utilities
X
Account Settings Create a New Record Record List Alias List Editor
Edit Data Centre
Data Types
. . .
X
Clear
Select All
Advanced Search
Go to Top⇡
Related items loading ...
Fetching Chart ...
Publication Additional Information Download
Publication Type
Journal Article
Authorship
Krogh, S.A., and Pomeroy, J.W.
Title
Simulating site-scale permafrost hydrology: Sensitivity to modelling decisions and air temperature
Year
2021
Publication Outlet
Journal of Hydrology, 602 (126771), 1-15
DOI
https://doi.org/10.1016/j.jhydrol.2021.126771
Citation
Krogh, S.A., and Pomeroy, J.W. 2021. Simulating site-scale permafrost hydrology: Sensitivity to modelling decisions and air temperature. Journal of Hydrology, 602 (126771), 1-15, https://doi.org/10.1016/j.jhydrol.2021.126771 .
Abstract
To predict future hydrological cycling in permafrost-dominated regions requires consideration of complex hydrological interactions that involve cryospheric states and fluxes, and hence thermodynamics. This challenges many hydrological models, particularly those applied in the Arctic. This study presents the implementation and validation of set of algorithms representing permafrost and frozen ground dynamics, coupled into a physically based, modular, cold regions hydrological model at two tundra sites in northern Yukon Territory, Canada. Hydrological processes represented in the model include evapotranspiration, soil moisture dynamics, flow through organic and mineral terrain, ground freeze–thaw, infiltration to frozen and unfrozen soils, snowpack energy balance, and the accumulation, wind redistribution, sublimation, and canopy interception of snow. The model was able to successfully represent observed ground surface temperature, ground thaw and snow accumulation at the two sites without calibration. A sensitivity analysis of simulated ground thaw revealed that the soil properties of the upper organic layer dominated the model response; however, its performance was robust for a range of realistic physical parameters. Different modelling decisions were assessed by removing the physically based algorithms for snowpack dynamics and ground surface temperature and replacing them with empirical approaches. Results demonstrate that more physically based approaches should be pursued to reduce uncertainties in poorly monitored environments. Finally, the model was driven by three climate warming scenarios to assess the sensitivity of snow redistribution and ablation processes and ground thaw to warming temperatures. This showed great sensitivity of snow regime and soil thaw to warming, even in the cold continental climate of the northwestern Canadian Arctic. The results are pertinent to transportation infrastructure and water management in this remote, cold, sparsely gauged region where traditional approaches to hydrological prediction are not possible.
Program Affiliations
GWF: Global Water Futures
Project Affiliations
GWF-IMPC: Integrated Modelling Program for Canada
GWF-MWF: Mountain Water Futures
Publication Stage
Published
Additional Information
IMPC & Mountain Water Futures , Refereed Publications
Download Links
https://doi.org/10.1016/j.jhydrol.2021.126771
© 2026 - WaterNet Version 2026-07-24
Global Water Futures Observatories
Powered by
G W F Net
T-2022-12-03-Y1k9OROY2Y1IkC8HpONUY374iA Publication 1.0