Articles | Volume 15, issue 12
The Cryosphere, 15, 5371–5386, 2021
https://doi.org/10.5194/tc-15-5371-2021
The Cryosphere, 15, 5371–5386, 2021
https://doi.org/10.5194/tc-15-5371-2021
Research article
06 Dec 2021
Research article | 06 Dec 2021

Multilayer observation and estimation of the snowpack cold content in a humid boreal coniferous forest of eastern Canada

Achut Parajuli et al.

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Cited articles

Alves, M., Nadeau, D. F., Music, B., Anctil, F., and Parajuli, A.: On the performance of the Canadian Land Surface Scheme driven by the ERA5 reanalysis over the Canadian boreal forest, J. Hydrometeorol., 21, 1383–1404, https://doi.org/10.1175/jhm-d-19-0172.1, 2020. 
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Andreadis, K. M., Storck, P., and Lettenmaier, D. P.: Modeling snow accumulation and ablation processes in forested environments, Water Resour. Res., 45, 1–13, https://doi.org/10.1029/2008WR007042, 2009. 
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Bartlett, P. A. and Verseghy, D. L.: Modified treatment of intercepted snow improves the simulated forest albedo in the Canadian Land Surface Scheme, Hydrol. Process., 29, 3208–3226, https://doi.org/10.1002/hyp.10431, 2015. 
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Short summary
Cold content is the energy required to attain an isothermal (0 °C) state and resulting in the snow surface melt. This study focuses on determining the multi-layer cold content (30 min time steps) relying on field measurements, snow temperature profile, and empirical formulation in four distinct forest sites of Montmorency Forest, eastern Canada. We present novel research where the effect of forest structure, local topography, and meteorological conditions on cold content variability is explored.