Automatic monitoring of the effective thermal conductivity of snow in a low-Arctic shrub tundra
International audience The effective thermal conductivity of snow, k eff , is a critical variable which determines the temperature gradient in the snowpack and heat exchanges between the ground and the atmosphere through the snow. Its accurate knowledge is therefore required to simulate snow metamor...
Published in: | The Cryosphere |
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Main Authors: | , , , , |
Other Authors: | , , , , , , , , , , , , , , |
Format: | Article in Journal/Newspaper |
Language: | English |
Published: |
HAL CCSD
2015
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Subjects: | |
Online Access: | https://insu.hal.science/insu-01235680 https://insu.hal.science/insu-01235680/document https://insu.hal.science/insu-01235680/file/CRYOSPHERE-Automatic%20monitoring%20of%20the%20effective%20thermal%20conductivity%20of%20snow%20in%20a%20low-Arctic%20shrub%20tundra.pdf https://doi.org/10.5194/tc-9-1265-2015 |
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ftunigrenoble:oai:HAL:insu-01235680v1 |
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openpolar |
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Open Polar |
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Université Grenoble Alpes: HAL |
op_collection_id |
ftunigrenoble |
language |
English |
topic |
[SDE]Environmental Sciences |
spellingShingle |
[SDE]Environmental Sciences Domine, F Barrere, M Sarrazin, D Morin, Samuel Arnaud, L Automatic monitoring of the effective thermal conductivity of snow in a low-Arctic shrub tundra |
topic_facet |
[SDE]Environmental Sciences |
description |
International audience The effective thermal conductivity of snow, k eff , is a critical variable which determines the temperature gradient in the snowpack and heat exchanges between the ground and the atmosphere through the snow. Its accurate knowledge is therefore required to simulate snow metamorphism, the ground thermal regime, permafrost stability, nutrient recycling and vegetation growth. Yet, few data are available on the seasonal evolution of snow thermal conductivity in the Arctic. We have deployed heated needle probes on low-Arctic shrub tundra near Umiujaq, Quebec, (N56 • 34 W76 • 29) and monitored automatically the evolution of k eff for two consecutive winters, 2012–2013 and 2013–2014, at four heights in the snowpack. Shrubs are 20 cm high dwarf birch. Here, we develop an algorithm for the automatic determination of k eff from the heating curves and obtain 404 k eff values. We evaluate possible errors and biases associated with the use of the heated needles. The time evolution of k eff is very different for both winters. This is explained by comparing the meteorological conditions in both winters , which induced different conditions for snow metamor-phism. In particular, important melting events in the second year increased snow hardness, impeding subsequent densifi-cation and increase in thermal conductivity. We conclude that shrubs have very important impacts on snow physical evolution: (1) shrubs absorb light and facilitate snow melt under intense radiation; (2) the dense twig network of dwarf birch prevent snow compaction, and therefore k eff increase; (3) the low density depth hoar that forms within shrubs collapsed in late winter, leaving a void that was not filled by snow. |
author2 |
Takuvik Joint International Laboratory ULAVAL-CNRS Université Laval Québec (ULaval)-Institut national des sciences de l'Univers (INSU - CNRS)-Centre National de la Recherche Scientifique (CNRS) Centre for Northern Studies - Université Laval Université Laval Québec (ULaval) Laboratoire de glaciologie et géophysique de l'environnement (LGGE) Observatoire des Sciences de l'Univers de Grenoble (OSUG) Université Joseph Fourier - Grenoble 1 (UJF)-Institut polytechnique de Grenoble - Grenoble Institute of Technology (Grenoble INP )-Institut national des sciences de l'Univers (INSU - CNRS)-Institut national de recherche en sciences et technologies pour l'environnement et l'agriculture (IRSTEA)-Université Savoie Mont Blanc (USMB Université de Savoie Université de Chambéry )-Centre National de la Recherche Scientifique (CNRS)-Université Joseph Fourier - Grenoble 1 (UJF)-Institut polytechnique de Grenoble - Grenoble Institute of Technology (Grenoble INP )-Institut national des sciences de l'Univers (INSU - CNRS)-Institut national de recherche en sciences et technologies pour l'environnement et l'agriculture (IRSTEA)-Université Savoie Mont Blanc (USMB Université de Savoie Université de Chambéry )-Centre National de la Recherche Scientifique (CNRS)-Centre National de la Recherche Scientifique (CNRS) Imperial College London Department of Geography Météo-France Centre national de recherches météorologiques (CNRM) Institut national des sciences de l'Univers (INSU - CNRS)-Observatoire Midi-Pyrénées (OMP) Institut de Recherche pour le Développement (IRD)-Université Toulouse III - Paul Sabatier (UT3) Université de Toulouse (UT)-Université de Toulouse (UT)-Institut national des sciences de l'Univers (INSU - CNRS)-Centre National d'Études Spatiales Toulouse (CNES)-Centre National de la Recherche Scientifique (CNRS)-Météo-France-Institut de Recherche pour le Développement (IRD)-Université Toulouse III - Paul Sabatier (UT3) Université de Toulouse (UT)-Université de Toulouse (UT)-Institut national des sciences de l'Univers (INSU - CNRS)-Centre National d'Études Spatiales Toulouse (CNES)-Centre National de la Recherche Scientifique (CNRS)-Météo-France-Centre National de la Recherche Scientifique (CNRS) |
format |
Article in Journal/Newspaper |
author |
Domine, F Barrere, M Sarrazin, D Morin, Samuel Arnaud, L |
author_facet |
Domine, F Barrere, M Sarrazin, D Morin, Samuel Arnaud, L |
author_sort |
Domine, F |
title |
Automatic monitoring of the effective thermal conductivity of snow in a low-Arctic shrub tundra |
title_short |
Automatic monitoring of the effective thermal conductivity of snow in a low-Arctic shrub tundra |
title_full |
Automatic monitoring of the effective thermal conductivity of snow in a low-Arctic shrub tundra |
title_fullStr |
Automatic monitoring of the effective thermal conductivity of snow in a low-Arctic shrub tundra |
title_full_unstemmed |
Automatic monitoring of the effective thermal conductivity of snow in a low-Arctic shrub tundra |
title_sort |
automatic monitoring of the effective thermal conductivity of snow in a low-arctic shrub tundra |
publisher |
HAL CCSD |
publishDate |
2015 |
url |
https://insu.hal.science/insu-01235680 https://insu.hal.science/insu-01235680/document https://insu.hal.science/insu-01235680/file/CRYOSPHERE-Automatic%20monitoring%20of%20the%20effective%20thermal%20conductivity%20of%20snow%20in%20a%20low-Arctic%20shrub%20tundra.pdf https://doi.org/10.5194/tc-9-1265-2015 |
genre |
Arctic Dwarf birch permafrost The Cryosphere The Cryosphere Discussions Tundra Umiujaq |
genre_facet |
Arctic Dwarf birch permafrost The Cryosphere The Cryosphere Discussions Tundra Umiujaq |
op_source |
ISSN: 1994-0432 EISSN: 1994-0440 The Cryosphere Discussions https://insu.hal.science/insu-01235680 The Cryosphere Discussions, 2015, 9, pp.1265-1276. ⟨10.5194/tc-9-1265-2015⟩ |
op_relation |
info:eu-repo/semantics/altIdentifier/doi/10.5194/tc-9-1265-2015 insu-01235680 https://insu.hal.science/insu-01235680 https://insu.hal.science/insu-01235680/document https://insu.hal.science/insu-01235680/file/CRYOSPHERE-Automatic%20monitoring%20of%20the%20effective%20thermal%20conductivity%20of%20snow%20in%20a%20low-Arctic%20shrub%20tundra.pdf doi:10.5194/tc-9-1265-2015 |
op_rights |
info:eu-repo/semantics/OpenAccess |
op_doi |
https://doi.org/10.5194/tc-9-1265-2015 |
container_title |
The Cryosphere |
container_volume |
9 |
container_issue |
3 |
container_start_page |
1265 |
op_container_end_page |
1276 |
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1810293259404050432 |
spelling |
ftunigrenoble:oai:HAL:insu-01235680v1 2024-09-15T17:51:23+00:00 Automatic monitoring of the effective thermal conductivity of snow in a low-Arctic shrub tundra Domine, F Barrere, M Sarrazin, D Morin, Samuel Arnaud, L Takuvik Joint International Laboratory ULAVAL-CNRS Université Laval Québec (ULaval)-Institut national des sciences de l'Univers (INSU - CNRS)-Centre National de la Recherche Scientifique (CNRS) Centre for Northern Studies - Université Laval Université Laval Québec (ULaval) Laboratoire de glaciologie et géophysique de l'environnement (LGGE) Observatoire des Sciences de l'Univers de Grenoble (OSUG) Université Joseph Fourier - Grenoble 1 (UJF)-Institut polytechnique de Grenoble - Grenoble Institute of Technology (Grenoble INP )-Institut national des sciences de l'Univers (INSU - CNRS)-Institut national de recherche en sciences et technologies pour l'environnement et l'agriculture (IRSTEA)-Université Savoie Mont Blanc (USMB Université de Savoie Université de Chambéry )-Centre National de la Recherche Scientifique (CNRS)-Université Joseph Fourier - Grenoble 1 (UJF)-Institut polytechnique de Grenoble - Grenoble Institute of Technology (Grenoble INP )-Institut national des sciences de l'Univers (INSU - CNRS)-Institut national de recherche en sciences et technologies pour l'environnement et l'agriculture (IRSTEA)-Université Savoie Mont Blanc (USMB Université de Savoie Université de Chambéry )-Centre National de la Recherche Scientifique (CNRS)-Centre National de la Recherche Scientifique (CNRS) Imperial College London Department of Geography Météo-France Centre national de recherches météorologiques (CNRM) Institut national des sciences de l'Univers (INSU - CNRS)-Observatoire Midi-Pyrénées (OMP) Institut de Recherche pour le Développement (IRD)-Université Toulouse III - Paul Sabatier (UT3) Université de Toulouse (UT)-Université de Toulouse (UT)-Institut national des sciences de l'Univers (INSU - CNRS)-Centre National d'Études Spatiales Toulouse (CNES)-Centre National de la Recherche Scientifique (CNRS)-Météo-France-Institut de Recherche pour le Développement (IRD)-Université Toulouse III - Paul Sabatier (UT3) Université de Toulouse (UT)-Université de Toulouse (UT)-Institut national des sciences de l'Univers (INSU - CNRS)-Centre National d'Études Spatiales Toulouse (CNES)-Centre National de la Recherche Scientifique (CNRS)-Météo-France-Centre National de la Recherche Scientifique (CNRS) 2015-06 https://insu.hal.science/insu-01235680 https://insu.hal.science/insu-01235680/document https://insu.hal.science/insu-01235680/file/CRYOSPHERE-Automatic%20monitoring%20of%20the%20effective%20thermal%20conductivity%20of%20snow%20in%20a%20low-Arctic%20shrub%20tundra.pdf https://doi.org/10.5194/tc-9-1265-2015 en eng HAL CCSD Copernicus info:eu-repo/semantics/altIdentifier/doi/10.5194/tc-9-1265-2015 insu-01235680 https://insu.hal.science/insu-01235680 https://insu.hal.science/insu-01235680/document https://insu.hal.science/insu-01235680/file/CRYOSPHERE-Automatic%20monitoring%20of%20the%20effective%20thermal%20conductivity%20of%20snow%20in%20a%20low-Arctic%20shrub%20tundra.pdf doi:10.5194/tc-9-1265-2015 info:eu-repo/semantics/OpenAccess ISSN: 1994-0432 EISSN: 1994-0440 The Cryosphere Discussions https://insu.hal.science/insu-01235680 The Cryosphere Discussions, 2015, 9, pp.1265-1276. ⟨10.5194/tc-9-1265-2015⟩ [SDE]Environmental Sciences info:eu-repo/semantics/article Journal articles 2015 ftunigrenoble https://doi.org/10.5194/tc-9-1265-2015 2024-06-25T00:05:22Z International audience The effective thermal conductivity of snow, k eff , is a critical variable which determines the temperature gradient in the snowpack and heat exchanges between the ground and the atmosphere through the snow. Its accurate knowledge is therefore required to simulate snow metamorphism, the ground thermal regime, permafrost stability, nutrient recycling and vegetation growth. Yet, few data are available on the seasonal evolution of snow thermal conductivity in the Arctic. We have deployed heated needle probes on low-Arctic shrub tundra near Umiujaq, Quebec, (N56 • 34 W76 • 29) and monitored automatically the evolution of k eff for two consecutive winters, 2012–2013 and 2013–2014, at four heights in the snowpack. Shrubs are 20 cm high dwarf birch. Here, we develop an algorithm for the automatic determination of k eff from the heating curves and obtain 404 k eff values. We evaluate possible errors and biases associated with the use of the heated needles. The time evolution of k eff is very different for both winters. This is explained by comparing the meteorological conditions in both winters , which induced different conditions for snow metamor-phism. In particular, important melting events in the second year increased snow hardness, impeding subsequent densifi-cation and increase in thermal conductivity. We conclude that shrubs have very important impacts on snow physical evolution: (1) shrubs absorb light and facilitate snow melt under intense radiation; (2) the dense twig network of dwarf birch prevent snow compaction, and therefore k eff increase; (3) the low density depth hoar that forms within shrubs collapsed in late winter, leaving a void that was not filled by snow. Article in Journal/Newspaper Arctic Dwarf birch permafrost The Cryosphere The Cryosphere Discussions Tundra Umiujaq Université Grenoble Alpes: HAL The Cryosphere 9 3 1265 1276 |