Abstract

Abstract. The values of the snow and soil thermal conductivity, ksnow and ksoil, strongly impact the thermal regime of the ground in the Arctic, but very few data are available to test model predictions for these variables. We have monitored ksnow and ksoil using heated needle probes at Bylot Island in the Canadian High Arctic (73° N, 80° W) between July 2013 and July 2015. Few ksnow data were obtained during the 2013–2014 winter, because little snow was present. During the 2014–2015 winter ksnow monitoring at 2, 12 and 22 cm heights and field observations show that a depth hoar layer with ksnow around 0.02 W m−1 K−1 rapidly formed. At 12 and 22 cm, wind slabs with ksnow around 0.2 to 0.3 W m−1 K−1 formed. The monitoring of ksoil at 10 cm depth shows that in thawed soil ksoil was around 0.7 W m−1 K−1, while in frozen soil it was around 1.9 W m−1 K−1. The transition between both values took place within a few days, with faster thawing than freezing and a hysteresis effect evidenced in the thermal conductivity–liquid water content relationship. The fast transitions suggest that the use of a bimodal distribution of ksoil for modelling may be an interesting option that deserves further testing. Simulations of ksnow using the snow physics model Crocus were performed. Contrary to observations, Crocus predicts high ksnow values at the base of the snowpack (0.12–0.27 W m−1 K−1) and low ones in its upper parts (0.02–0.12 W m−1 K−1). We diagnose that this is because Crocus does not describe the large upward water vapour fluxes caused by the temperature gradient in the snow and soil. These fluxes produce mass transfer between the soil and lower snow layers to the upper snow layers and the atmosphere. Finally, we discuss the importance of the structure and properties of the Arctic snowpack on subnivean life, as species such as lemmings live under the snow most of the year and must travel in the lower snow layer in search of food.

Highlights

  • Arctic permafrost contains large amounts of frozen organic matter (Hugelius et al, 2014)

  • Even though the average density of snow may be adequately predicted in land surface models (Brun et al, 2013), the density profile of Arctic or subarctic snow is currently not predicted well by most or all snow schemes (Domine et al, 2013) because the upward water vapour flux generated by the strong temperature gradients present in these cold snowpacks (Sturm and Benson, 1997) is not taken into account

  • Indurated depth hoar is a snow type seldom mentioned, as it does not form in alpine or temperate snow, and it is not described in the international snow classification (Fierz et al, 2009) despite its widespread presence in the Arctic, where it has been observed without being named for decades

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Summary

Introduction

Arctic permafrost contains large amounts of frozen organic matter (Hugelius et al, 2014). Even though the average density of snow may be adequately predicted in land surface models (Brun et al, 2013), the density profile of Arctic or subarctic snow is currently not predicted well by most or all snow schemes (Domine et al, 2013) because the upward water vapour flux generated by the strong temperature gradients present in these cold snowpacks (Sturm and Benson, 1997) is not taken into account. Given the non-linearity between snow thermal conductivity and density used in most snow schemes, errors in the snow density vertical profile inevitably lead to errors in the snowpack thermal properties and in the permafrost thermal regime

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