Data to support the modelling of integrated groundwater-surface water flow in permafrost regions, using the Carcajou Watershed, Northwest Territories, Canada. Bunn, M. I., Khader, O., Kessel, E., Frey, S. K., Erler, A. R., & Russell, H. A. Data in Brief, 66:112802, June, 2026. ![Data to support the modelling of integrated groundwater-surface water flow in permafrost regions, using the Carcajou Watershed, Northwest Territories, Canada [link]](https://bibbase.org/img/filetypes/link.svg "link")
Paper doi abstract bibtex \textgreater 50 % of Canada's landmass is underlain by perennially frozen ground (permafrost). These permafrost regions are changing rapidly in response to a warming climate, with Canada’s arctic warming at a rate \textgreater 3 times higher than global average. As permafrost distribution shifts in response to this warming, it alters the water cycle, affecting both water quantity and water quality. However, large-scale hydrological models that integrate climate change impacts often lack permafrost representation. The Carcajou Regional Model Dataset contains the inputs needed to construct a standalone groundwater model or a fully integrated groundwater – surface water model of the Carcajou watershed in the Northwest Territories, Canada, a zone of transition between continuous permafrost and discontinuous permafrost. The three-dimensional geological data was created by refining national-scale mapping products, with local-scale data. Land cover, topography, and surface water flow were generated from national scale mapping products. Climate forcing data for the period from 2010 to 2016 was generated based national scale historical products. The proper approach to representing permafrost in large-scale hydrological models is largely undefined, with no consensus on conceptualization or parameterization. This dataset allows researchers to rapidly test new approaches to permafrost representation, without the need for additional data collection. The data set includes long term surface water discharge records to assess model performance and compare representations. The data set can be further adapted to simulate projected permafrost distribution scenarios and be used to forecast the effect of permafrost change on water quantity.
@article{bunn_data_2026,
title = {Data to support the modelling of integrated groundwater-surface water flow in permafrost regions, using the {Carcajou} {Watershed}, {Northwest} {Territories}, {Canada}},
volume = {66},
issn = {2352-3409},
url = {https://www.sciencedirect.com/science/article/pii/S235234092600332X},
doi = {10.1016/j.dib.2026.112802},
abstract = {{\textgreater} 50 \% of Canada's landmass is underlain by perennially frozen ground (permafrost). These permafrost regions are changing rapidly in response to a warming climate, with Canada’s arctic warming at a rate {\textgreater} 3 times higher than global average. As permafrost distribution shifts in response to this warming, it alters the water cycle, affecting both water quantity and water quality. However, large-scale hydrological models that integrate climate change impacts often lack permafrost representation. The Carcajou Regional Model Dataset contains the inputs needed to construct a standalone groundwater model or a fully integrated groundwater – surface water model of the Carcajou watershed in the Northwest Territories, Canada, a zone of transition between continuous permafrost and discontinuous permafrost. The three-dimensional geological data was created by refining national-scale mapping products, with local-scale data. Land cover, topography, and surface water flow were generated from national scale mapping products. Climate forcing data for the period from 2010 to 2016 was generated based national scale historical products. The proper approach to representing permafrost in large-scale hydrological models is largely undefined, with no consensus on conceptualization or parameterization. This dataset allows researchers to rapidly test new approaches to permafrost representation, without the need for additional data collection. The data set includes long term surface water discharge records to assess model performance and compare representations. The data set can be further adapted to simulate projected permafrost distribution scenarios and be used to forecast the effect of permafrost change on water quantity.},
urldate = {2026-05-21},
journal = {Data in Brief},
author = {Bunn, Melissa I. and Khader, Omar and Kessel, Eric and Frey, Steven K. and Erler, Andre R. and Russell, Hazen A.},
month = jun,
year = {2026},
keywords = {NALCMS},
pages = {112802},
}
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The proper approach to representing permafrost in large-scale hydrological models is largely undefined, with no consensus on conceptualization or parameterization. This dataset allows researchers to rapidly test new approaches to permafrost representation, without the need for additional data collection. The data set includes long term surface water discharge records to assess model performance and compare representations. 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These permafrost regions are changing rapidly in response to a warming climate, with Canada’s arctic warming at a rate {\\textgreater} 3 times higher than global average. As permafrost distribution shifts in response to this warming, it alters the water cycle, affecting both water quantity and water quality. However, large-scale hydrological models that integrate climate change impacts often lack permafrost representation. The Carcajou Regional Model Dataset contains the inputs needed to construct a standalone groundwater model or a fully integrated groundwater – surface water model of the Carcajou watershed in the Northwest Territories, Canada, a zone of transition between continuous permafrost and discontinuous permafrost. The three-dimensional geological data was created by refining national-scale mapping products, with local-scale data. Land cover, topography, and surface water flow were generated from national scale mapping products. 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