Articles | Volume 15, issue 6
https://doi.org/10.5194/tc-15-2739-2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/tc-15-2739-2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
18 Jun 2021
Research article |
| 18 Jun 2021
| 18 Jun 2021
Impact of water vapor diffusion and latent heat on the effective thermal conductivity of snow
Univ. Grenoble Alpes, Université de Toulouse, Météo-France, CNRS, CNRM, Centre d'Études de la Neige, Grenoble, France
Florent Domine
Takuvik Joint International Laboratory, Université Laval (Canada) and CNRS-INSU (France), Québec, QC, G1V 0A6, Canada
Centre d’Études Nordiques (CEN) and Department of Chemistry, Université Laval, Québec, QC, G1V 0A6, Canada
Pascal Hagenmuller
Univ. Grenoble Alpes, Université de Toulouse, Météo-France, CNRS, CNRM, Centre d'Études de la Neige, Grenoble, France
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Computer models, like those used in climate change studies, are written by modellers who have to decide how best to construct the models in order to satisfy the purpose they serve. Using snow modelling as an example, we examine the process behind the decisions to understand what motivates or limits modellers in their decision-making. We find that the context in which research is undertaken is often more crucial than scientific limitations. We argue for more transparency in our research practice.
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Short summary
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We study the EastGRIP area, Greenland, in detail with traditional and novel techniques. Due to the compaction of the ice, at a certain depth, atmospheric gases can no longer exchange, and the atmosphere is trapped in air bubbles in the ice. We find this depth by pumping air from a borehole, modeling, and using a new technique based on the optical appearance of the ice. Our results suggest that the close-off depth lies at around 58–61 m depth and more precisely at 58.3 m depth.
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Kévin Fourteau, Johannes Freitag, Mika Malinen, and Henning Löwe
The Cryosphere, 18, 2831–2846, https://doi.org/10.5194/tc-18-2831-2024, https://doi.org/10.5194/tc-18-2831-2024, 2024
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Understanding the settling of snow under its own weight has applications from avalanche forecasts to ice core interpretations. We study how this settling can be modeled using 3D images of the internal structure of snow and ice deformation mechanics. We found that classical ice mechanics, as used, for instance, in glacier flow, explain the compaction of dense polar snow but not that of lighter seasonal snow. How, exactly, the ice deforms during light snow compaction thus remains an open question.
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The Cryosphere, 18, 1653–1668, https://doi.org/10.5194/tc-18-1653-2024, https://doi.org/10.5194/tc-18-1653-2024, 2024
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In this paper, we provide a novel numerical implementation for solving the energy exchanges at the surface of snow and ice. By combining the strong points of previous models, our solution leads to more accurate and robust simulations of the energy exchanges, surface temperature, and melt while preserving a reasonable computation time.
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Geosci. Model Dev., 16, 7075–7106, https://doi.org/10.5194/gmd-16-7075-2023, https://doi.org/10.5194/gmd-16-7075-2023, 2023
Short summary
Short summary
Vapor diffusion is one of the main processes governing snowpack evolution, and it must be accounted for in models. Recent attempts to represent vapor diffusion in numerical models have faced several difficulties regarding computational cost and mass and energy conservation. Here, we develop our own finite-element software to explore numerical approaches and enable us to overcome these difficulties. We illustrate the capability of these approaches on established numerical benchmarks.
Xavier Faïn, David M. Etheridge, Kévin Fourteau, Patricia Martinerie, Cathy M. Trudinger, Rachael H. Rhodes, Nathan J. Chellman, Ray L. Langenfelds, Joseph R. McConnell, Mark A. J. Curran, Edward J. Brook, Thomas Blunier, Grégory Teste, Roberto Grilli, Anthony Lemoine, William T. Sturges, Boris Vannière, Johannes Freitag, and Jérôme Chappellaz
Clim. Past, 19, 2287–2311, https://doi.org/10.5194/cp-19-2287-2023, https://doi.org/10.5194/cp-19-2287-2023, 2023
Short summary
Short summary
We report on a 3000-year record of carbon monoxide (CO) levels in the Southern Hemisphere's high latitudes by combining ice core and firn air measurements with modern direct atmospheric samples. Antarctica [CO] remained stable (–835 to 1500 CE), decreased during the Little Ice Age, and peaked around 1985 CE. Such evolution reflects stable biomass burning CO emissions before industrialization, followed by growth from CO anthropogenic sources, which decline after 1985 due to improved combustion.
Fanny Brun, Owen King, Marion Réveillet, Charles Amory, Anton Planchot, Etienne Berthier, Amaury Dehecq, Tobias Bolch, Kévin Fourteau, Julien Brondex, Marie Dumont, Christoph Mayer, Silvan Leinss, Romain Hugonnet, and Patrick Wagnon
The Cryosphere, 17, 3251–3268, https://doi.org/10.5194/tc-17-3251-2023, https://doi.org/10.5194/tc-17-3251-2023, 2023
Short summary
Short summary
The South Col Glacier is a small body of ice and snow located on the southern ridge of Mt. Everest. A recent study proposed that South Col Glacier is rapidly losing mass. In this study, we examined the glacier thickness change for the period 1984–2017 and found no thickness change. To reconcile these results, we investigate wind erosion and surface energy and mass balance and find that melt is unlikely a dominant process, contrary to previous findings.
Marie Dumont, Simon Gascoin, Marion Réveillet, Didier Voisin, François Tuzet, Laurent Arnaud, Mylène Bonnefoy, Montse Bacardit Peñarroya, Carlo Carmagnola, Alexandre Deguine, Aurélie Diacre, Lukas Dürr, Olivier Evrard, Firmin Fontaine, Amaury Frankl, Mathieu Fructus, Laure Gandois, Isabelle Gouttevin, Abdelfateh Gherab, Pascal Hagenmuller, Sophia Hansson, Hervé Herbin, Béatrice Josse, Bruno Jourdain, Irene Lefevre, Gaël Le Roux, Quentin Libois, Lucie Liger, Samuel Morin, Denis Petitprez, Alvaro Robledano, Martin Schneebeli, Pascal Salze, Delphine Six, Emmanuel Thibert, Jürg Trachsel, Matthieu Vernay, Léo Viallon-Galinier, and Céline Voiron
Earth Syst. Sci. Data, 15, 3075–3094, https://doi.org/10.5194/essd-15-3075-2023, https://doi.org/10.5194/essd-15-3075-2023, 2023
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Saharan dust outbreaks have profound effects on ecosystems, climate, health, and the cryosphere, but the spatial deposition pattern of Saharan dust is poorly known. Following the extreme dust deposition event of February 2021 across Europe, a citizen science campaign was launched to sample dust on snow over the Pyrenees and the European Alps. This campaign triggered wide interest and over 100 samples. The samples revealed the high variability of the dust properties within a single event.
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Oscar Dick, Léo Viallon-Galinier, François Tuzet, Pascal Hagenmuller, Mathieu Fructus, Benjamin Reuter, Matthieu Lafaysse, and Marie Dumont
The Cryosphere, 17, 1755–1773, https://doi.org/10.5194/tc-17-1755-2023, https://doi.org/10.5194/tc-17-1755-2023, 2023
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Saharan dust deposition can drastically change the snow color, turning mountain landscapes into sepia scenes. Dust increases the absorption of solar energy by the snow cover and thus modifies the snow evolution and potentially the avalanche risk. Here we show that dust can lead to increased or decreased snowpack stability depending on the snow and meteorological conditions after the deposition event. We also show that wet-snow avalanches happen earlier in the season due to the presence of dust.
Pyei Phyo Lin, Isabel Peinke, Pascal Hagenmuller, Matthias Wächter, M. Reza Rahimi Tabar, and Joachim Peinke
The Cryosphere, 16, 4811–4822, https://doi.org/10.5194/tc-16-4811-2022, https://doi.org/10.5194/tc-16-4811-2022, 2022
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Characterization of layers of snowpack with highly resolved micro-cone penetration tests leads to detailed fluctuating signals. We used advanced stochastic analysis to differentiate snow types by interpreting the signals as a mixture of continuous and discontinuous random fluctuations. These two types of fluctuation seem to correspond to different mechanisms of drag force generation during the experiments. The proposed methodology provides new insights into the characterization of snow layers.
Gauthier Vérin, Florent Domine, Marcel Babin, Ghislain Picard, and Laurent Arnaud
The Cryosphere, 16, 3431–3449, https://doi.org/10.5194/tc-16-3431-2022, https://doi.org/10.5194/tc-16-3431-2022, 2022
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Snow physical properties on Arctic sea ice are monitored during the melt season. As snow grains grow, and the snowpack thickness is reduced, the surface albedo decreases. The extra absorbed energy accelerates melting. Radiative transfer modeling shows that more radiation is then transmitted to the snow–sea-ice interface. A sharp increase in transmitted radiation takes place when the snowpack thins significantly, and this coincides with the initiation of the phytoplankton bloom in the seawater.
Georg Lackner, Florent Domine, Daniel F. Nadeau, Matthieu Lafaysse, and Marie Dumont
The Cryosphere, 16, 3357–3373, https://doi.org/10.5194/tc-16-3357-2022, https://doi.org/10.5194/tc-16-3357-2022, 2022
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We compared the snowpack at two sites separated by less than 1 km, one in shrub tundra and the other one within the boreal forest. Even though the snowpack was twice as thick at the forested site, we found evidence that the vertical transport of water vapor from the bottom of the snowpack to its surface was important at both sites. The snow model Crocus simulates no water vapor fluxes and consequently failed to correctly simulate the observed density profiles.
Matthieu Vernay, Matthieu Lafaysse, Diego Monteiro, Pascal Hagenmuller, Rafife Nheili, Raphaëlle Samacoïts, Deborah Verfaillie, and Samuel Morin
Earth Syst. Sci. Data, 14, 1707–1733, https://doi.org/10.5194/essd-14-1707-2022, https://doi.org/10.5194/essd-14-1707-2022, 2022
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This paper introduces the latest version of the freely available S2M dataset which provides estimates of both meteorological and snow cover variables, as well as various avalanche hazard diagnostics at different elevations, slopes and aspects for the three main French high-elevation mountainous regions. A complete description of the system and the dataset is provided, as well as an overview of the possible uses of this dataset and an objective assessment of its limitations.
Xavier Faïn, Rachael H. Rhodes, Philip Place, Vasilii V. Petrenko, Kévin Fourteau, Nathan Chellman, Edward Crosier, Joseph R. McConnell, Edward J. Brook, Thomas Blunier, Michel Legrand, and Jérôme Chappellaz
Clim. Past, 18, 631–647, https://doi.org/10.5194/cp-18-631-2022, https://doi.org/10.5194/cp-18-631-2022, 2022
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Carbon monoxide (CO) is a regulated pollutant and one of the key components determining the oxidizing capacity of the atmosphere. In this study, we analyzed five ice cores from Greenland at high resolution for CO concentrations by coupling laser spectrometry with continuous melting. By combining these new datasets, we produced an upper-bound estimate of past atmospheric CO abundance since preindustrial times for the Northern Hemisphere high latitudes, covering the period from 1700 to 1957 CE.
Georg Lackner, Florent Domine, Daniel F. Nadeau, Annie-Claude Parent, François Anctil, Matthieu Lafaysse, and Marie Dumont
The Cryosphere, 16, 127–142, https://doi.org/10.5194/tc-16-127-2022, https://doi.org/10.5194/tc-16-127-2022, 2022
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The surface energy budget is the sum of all incoming and outgoing energy fluxes at the Earth's surface and has a key role in the climate. We measured all these fluxes for an Arctic snowpack and found that most incoming energy from radiation is counterbalanced by thermal radiation and heat convection while sublimation was negligible. Overall, the snow model Crocus was able to simulate the observed energy fluxes well.
Maria Belke-Brea, Florent Domine, Ghislain Picard, Mathieu Barrere, and Laurent Arnaud
Biogeosciences, 18, 5851–5869, https://doi.org/10.5194/bg-18-5851-2021, https://doi.org/10.5194/bg-18-5851-2021, 2021
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Expanding shrubs in the Arctic change snowpacks into a mix of snow, impurities and buried branches. Snow is a translucent medium into which light penetrates and gets partly absorbed by branches or impurities. Measurements of light attenuation in snow in Northern Quebec, Canada, showed (1) black-carbon-dominated light attenuation in snowpacks without shrubs and (2) buried branches influence radiation attenuation in snow locally, leading to melting and pockets of large crystals close to branches.
Florent Domine, Georg Lackner, Denis Sarrazin, Mathilde Poirier, and Maria Belke-Brea
Earth Syst. Sci. Data, 13, 4331–4348, https://doi.org/10.5194/essd-13-4331-2021, https://doi.org/10.5194/essd-13-4331-2021, 2021
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Current sophisticated snow physics models were mostly designed for alpine conditions and cannot adequately simulate the physical properties of Arctic snowpacks. New snow models will require Arctic data sets for forcing and validation. We provide an extensive driving and testing data set from a high Arctic herb tundra site in Canada. Unique validating data include continuous time series of snow and soil thermal conductivity and temperature profiles. Field observations in spring are provided.
Marie Dumont, Frederic Flin, Aleksey Malinka, Olivier Brissaud, Pascal Hagenmuller, Philippe Lapalus, Bernard Lesaffre, Anne Dufour, Neige Calonne, Sabine Rolland du Roscoat, and Edward Ando
The Cryosphere, 15, 3921–3948, https://doi.org/10.5194/tc-15-3921-2021, https://doi.org/10.5194/tc-15-3921-2021, 2021
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The role of snow microstructure in snow optical properties is only partially understood despite the importance of snow optical properties for the Earth system. We present a dataset combining bidirectional reflectance measurements and 3D images of snow. We show that the snow reflectance is adequately simulated using the distribution of the ice chord lengths in the snow microstructure and that the impact of the morphological type of snow is especially important when ice is highly absorptive.
Kévin Fourteau, Florent Domine, and Pascal Hagenmuller
The Cryosphere, 15, 389–406, https://doi.org/10.5194/tc-15-389-2021, https://doi.org/10.5194/tc-15-389-2021, 2021
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There has been a long controversy to determine whether the effective diffusion coefficient of water vapor in snow is superior to that in free air. Using theory and numerical modeling, we show that while water vapor diffuses more than inert gases thanks to its interaction with the ice, the effective diffusion coefficient of water vapor in snow remains inferior to that in free air. This suggests that other transport mechanisms are responsible for the large vapor fluxes observed in some snowpacks.
Cited articles
Auriault, J.: Heterogeneous medium. Is an equivalent macroscopic description
possible?, International J. Engin. Sci., 29, 785–795,
https://doi.org/10.1016/0020-7225(91)90001-J, 1991. a
Batchelor, G. K. and Brien, R. W.: Thermal or electrical conduction through a
granular material, Proc. Royal Soc. Lond. A. Math. Phys. Sci., 355, 313–333,
https://doi.org/10.1098/rspa.1977.0100, 1977. a, b
Calonne, N., Flin, F., Morin, S., Lesaffre, B., du Roscoat, S. R., and
Geindreau, C.: Numerical and experimental investigations of the effective
thermal conductivity of snow, Geophys. Res. Lett., 38, L23501,
https://doi.org/10.1029/2011GL049234, 2011. a, b, c, d, e, f, g, h, i, j, k, l, m, n, o, p, q, r, s
Calonne, N., Milliancourt, L., Burr, A., Philip, A., Martin, C. L., Flin, F.,
and Geindreau, C.: Thermal Conductivity of Snow, Firn, and Porous Ice From
3-D Image-Based Computations, Geophys. Res. Let., 46, 13079–13089,
https://doi.org/10.1029/2019GL085228, 2019. a
Colbeck, S. C.: An overview of seasonal snow metamorphism, Revi. Geophys., 20,
45–61, https://doi.org/10.1029/RG020i001p00045, 1982. a
Colbeck, S. C.: Theory of metamorphism of dry snow, J. Geophys. Res.-Oceans,
88, 5475–5482, https://doi.org/10.1029/JC088iC09p05475, 1983. a
Colbeck, S. C.: The vapor diffusion coefficient for snow, Water Resour. Res.,
29, 109–115, https://doi.org/10.1029/92WR02301, 1993. a
De Vries, D. A.: Simultaneous transfer of heat and moisture in porous media,
Eos, Trans. Am. Geophys. Union, 39, 909–916, https://doi.org/10.1029/TR039i005p00909,
1958. a
De Vries, D. A.: The theory of heat and moisture transfer in porous media
revisited, Int. J. Heat Mass Transf., 30, 1343–1350,
https://doi.org/10.1016/0017-9310(87)90166-9, 1987. a
Domine, F., Barrere, M., Sarrazin, D., Morin, S., and Arnaud, L.: Automatic monitoring of the effective thermal conductivity of snow in a low-Arctic shrub tundra, The Cryosphere, 9, 1265–1276, https://doi.org/10.5194/tc-9-1265-2015, 2015. a, b
Domine, F., Picard, G., Morin, S., Barrere, M., Madore, J.-B., and Langlois,
A.: Major Issues in Simulating Some Arctic Snowpack Properties Using Current
Detailed Snow Physics Models: Consequences for the Thermal Regime and Water
Budget of Permafrost, J. Adv. Model. Earth Syst., 11, 34–44, 2019. a
Fierz, C., Armstrong, R. L., Durand, Y., Etchevers, P., Greene, E., McClung,
D. M., Nishimura, K., Satyawali, P. K., and Sokratov, S. A.: The
International Classificationi for Seasonal Snow on the Ground, The International Classification for Seasonal Snow on the Ground, IHP-VII Technical Documents in Hydrology No. 83, IACS Contribution No. 1, UNESCO-IHP, Paris, 2009. a, b, c
Giddings, J. C. and LaChapelle, E.: The formation rate of depth hoar, J.
Geophys. Res., 67, 2377–2383, https://doi.org/10.1029/JZ067i006p02377, 1962. a
Gilbert, A., Vincent, C., Wagnon, P., Thibert, E., and Rabatel, A.: The
influence of snow cover thickness on the thermal regime of Tête Rousse
Glacier (Mont Blanc range, 3200 m asl): Consequences for outburst flood
hazards and glacier response to climate change, J. Geophys. Res.-Ea.
Surf., 117, F04018, https://doi.org/10.1029/2011JF002258, 2012. a
Hagenmuller, P., Matzl, M., Chambon, G., and Schneebeli, M.: Sensitivity of snow density and specific surface area measured by microtomography to different image processing algorithms, The Cryosphere, 10, 1039–1054, https://doi.org/10.5194/tc-10-1039-2016, 2016. a
Hagenmuller, P., Flin, F., Dumont, M., Tuzet, F., Peinke, I., Lapalus, P., Dufour, A., Roulle, J., Pézard, L., Voisin, D., Ando, E., Rolland du Roscoat, S., and Charrier, P.: Motion of dust particles in dry snow under temperature gradient metamorphism, The Cryosphere, 13, 2345–2359, https://doi.org/10.5194/tc-13-2345-2019, 2019. a
Hansen, A. C. and Foslien, W. E.: A macroscale mixture theory analysis of deposition and sublimation rates during heat and mass transfer in dry snow, The Cryosphere, 9, 1857–1878, https://doi.org/10.5194/tc-9-1857-2015, 2015. a, b
Jaafar, H. and Picot, J. J. C.: Thermal conductivity of snow by a transient
state probe method, Water Resour. Res., 6, 333–335,
https://doi.org/10.1029/WR006i001p00333, 1970. a, b
Jordan, R.: A one-dimensional temperature model for a snow cover: Technical
documentation for SNTHERM. 89., Tech. rep., Cold Regions Research and
Engineering Lab Hanover NH, 1991. a
Kadoya, K., Matsunaga, N., and Nagashima, A.: Viscosity and Thermal
Conductivity of Dry Air in the Gaseous Phase, J. Phys. Chem. Ref. Data, 14,
947–970, https://doi.org/10.1063/1.555744, 1985. a
Kaempfer, T. U. and Plapp, M.: Phase-field modeling of dry snow metamorphism,
Phys. Rev. E, 79, 031502, https://doi.org/10.1103/PhysRevE.79.031502, 2009. a
Krol, Q. and Löwe, H.: Analysis of local ice crystal growth in snow, J.
Glaciol., 62, 378–390, https://doi.org/10.1017/jog.2016.32, 2016. a, b
Lecomte, O., Fichefet, T., Vancoppenolle, M., Domine, F., Massonnet, F.,
Mathiot, P., Morin, S., and Barriat, P.-Y.: On the formulation of snow
thermal conductivity in large-scale sea ice models, J. Adv. Model. Earth
Syst., 5, 542–557, https://doi.org/10.1002/jame.20039, 2013. a
Legagneux, L. and Domine, F.: A mean field model of the decrease of the
specific surface area of dry snow during isothermal metamorphism, J. Geophys.
Res. Earth Surf., 110, F04011, https://doi.org/10.1029/2004JF000181, 2005. a
Libbrecht, K. G.: Precision Measurements of Ice Crystal Growth Rates, Tech.
rep., Department of Physics, California Institute of Technology, Pasadena,
California 91125, US, 2006. a
Libbrecht, K. G. and Rickerby, M. E.: Measurements of surface attachment
kinetics for faceted ice crystal growth, J. Crystal Growth, 377, 1–8,
https://doi.org/10.1016/j.jcrysgro.2013.04.037, 2013. a
Löwe, H., Riche, F., and Schneebeli, M.: A general treatment of snow microstructure exemplified by an improved relation for thermal conductivity, The Cryosphere, 7, 1473–1480, https://doi.org/10.5194/tc-7-1473-2013, 2013. a
Malinen, M. and Råback, P.: Elmer Finite Element Solver for Multiphysics and
Multiscale Problems, in: Multiscale Modelling Methods for Applications in
Materials Science, edited by Kondov, I. and Sutmann, G.,
Forschungszentrum Jülich GmbH, pp. 101–113, 2013. a
Morin, S., Domine, F., Arnaud, L., and Picard, G.: In-situ monitoring of the
time evolution of the effective thermal conductivity of snow, Cold Reg. Sci.
Tech., 64, 73–80, https://doi.org/10.1016/j.coldregions.2010.02.008, 2010. a, b
Moyne, C., Batsale, J.-C., and Degiovanni, A.: Approche expérimentale et
théorique de la conductivité thermique des milieux poreux humides – II.
Théorie, Int. J. Heat Mass Transf., 31, 2319–2330,
https://doi.org/10.1016/0017-9310(88)90163-9, 1988. a, b, c
Municchi, F. and Icardi, M.: Macroscopic models for filtration and
heterogeneous reactions in porous media, Adv. Water Resour., 141, 103605,
https://doi.org/10.1016/j.advwatres.2020.103605, 2020. a
Peinke, I., Hagenmuller, P., Andò, E., Chambon, G., Flin, F., and Roulle, J.:
Experimental Study of Cone Penetration in Snow Using X-Ray Tomography, Front.
Earth Sci., 8, 63, https://doi.org/10.3389/feart.2020.00063, 2020. a
Pinzer, B. R., Schneebeli, M., and Kaempfer, T. U.: Vapor flux and recrystallization during dry snow metamorphism under a steady temperature gradient as observed by time-lapse micro-tomography, The Cryosphere, 6, 1141–1155, https://doi.org/10.5194/tc-6-1141-2012, 2012. a, b
Shertzer, R. H. and Adams, E. E.: A Mass Diffusion Model for Dry Snow Utilizing
a Fabric Tensor to Characterize Anisotropy, J Adv. Model. Earth Sys., 10,
881–890, https://doi.org/10.1002/2017MS001046, 2018. a, b
Slack, G. A.: Thermal conductivity of ice, Phys. Rev. B, 22, 3065–3071,
https://doi.org/10.1103/PhysRevB.22.3065, 1980. a
Sokratov, S. A. and Maeno, N.: Effective water vapor diffusion coefficient of
snow under a temperature gradient, Water Resour. Res., 36, 1269–1276,
https://doi.org/10.1029/2000WR900014, 2000. a
Sommerfeld, R. A. and LaChapelle, E.: The Classification of Snow Metamorphism,
J. Glaciol., 9, 3–18, https://doi.org/10.3189/S0022143000026757, 1970. a
Sturm, M. and Benson, C. S.: Vapor transport, grain growth and depth-hoar
development in the subarctic snow, J. Glaciol., 43, 42–59,
https://doi.org/10.3189/S0022143000002793, 1997. a
Sturm, M. and Johnson, J. B.: Natural convection in the subarctic snow cover,
J. Geophys. Res.-Sol. Ea., 96, 11657–11671, https://doi.org/10.1029/91JB00895,
1991. a
Sturm, M., Holmgren, J., König, M., and Morris, K.: The thermal conductivity
of seasonal snow, J. Glaciol., 43, 26–41, https://doi.org/10.3189/S0022143000002781,
1997. a
Trabant, D. and Benson, C.: Field experiments on the development of depth hoar,
Geol. Soc. Am. Mem., 135, 309–322, 1972. a
Vionnet, V., Brun, E., Morin, S., Boone, A., Faroux, S., Le Moigne, P., Martin, E., and Willemet, J.-M.: The detailed snowpack scheme Crocus and its implementation in SURFEX v7.2, Geosci. Model Dev., 5, 773–791, https://doi.org/10.5194/gmd-5-773-2012, 2012. a
Whitaker, S.: Simultaneous Heat, Mass, and Momentum Transfer in Porous Media: A
Theory of Drying, Adv. Heat Transf., 13, 119–203, https://doi.org/10.1016/S0065-2717(08)70223-5, 1977. a
Yosida, Z., Oura, H., Kuroiwa, D., Huzioka, T., Kojima, k., Aoki, S.-I., and
Kinosita, S.: Physical Studies on Deposited Snow. I. Thermal Properties,
Contributions from the Institute of Low Temperature Science, Hokkaido, Japan, 7, 19–74, available at: http://hdl.handle.net/2115/20216 (last access: 15 June 2021), 1955.
a, b, c, d, e
Zhang, T., Osterkamp, T. E., and Stamnes, K.: Influence of the depth hoar layer
of the seasonal snow cover on the ground thermal regime, Water Resour. Res.,
32, 2075–2086, https://doi.org/10.1029/96WR00996, 1996. a
Short summary
The thermal conductivity of snow is an important physical property governing the thermal regime of a snowpack and its substrate. We show that it strongly depends on the kinetics of water vapor sublimation and that previous experimental data suggest a rather fast kinetics. In such a case, neglecting water vapor leads to an underestimation of thermal conductivity by up to 50 % for light snow. Moreover, the diffusivity of water vapor in snow is then directly related to the thermal conductivity.
The thermal conductivity of snow is an important physical property governing the thermal regime...
