Articles | Volume 13, issue 9
https://doi.org/10.5194/essd-13-4331-2021
© 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/essd-13-4331-2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Meteorological, snow and soil data (2013–2019) from a herb tundra permafrost site at Bylot Island, Canadian high Arctic, for driving and testing snow and land surface models
Takuvik Joint International Laboratory, Université Laval
(Canada) and CNRS-INSU (France), Québec, Canada
Centre d'Études Nordiques, Université Laval, Québec,
Canada
Département de chimie, Université Laval, Québec, Canada
Georg Lackner
Takuvik Joint International Laboratory, Université Laval
(Canada) and CNRS-INSU (France), Québec, Canada
Centre d'Études Nordiques, Université Laval, Québec,
Canada
Département de génie civil et de génie des eaux,
Université Laval, Québec, Canada
Denis Sarrazin
Centre d'Études Nordiques, Université Laval, Québec,
Canada
Mathilde Poirier
Centre d'Études Nordiques, Université Laval, Québec,
Canada
Département de biologie, Université Laval, Québec, Canada
Maria Belke-Brea
Takuvik Joint International Laboratory, Université Laval
(Canada) and CNRS-INSU (France), Québec, Canada
Centre d'Études Nordiques, Université Laval, Québec,
Canada
Département de géographie, Université Laval,
Québec, Canada
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- Wind tunnel experiments to quantify the effect of aeolian snow transport on the surface snow microstructure B. Walter et al. https://doi.org/10.5194/tc-18-3633-2024
- Simulating the effect of natural convection in a tundra snow cover M. Jafari & M. Lehning https://doi.org/10.5194/tc-20-2439-2026
- Simulating the Spatiotemporal Dynamics of Unfrozen Soil Thermal Conductivity in Northeast China Using Geospatial Data: Incorporating Vegetation to Adapt to Field Conditions S. Liu et al. https://doi.org/10.3390/rs18101605
- Demography of lemmings in response to changing snow conditions in the High Arctic M. Poirier et al. https://doi.org/10.1002/ecy.70216
- Meteorological, snow and soil data, CO2, water and energy fluxes from a low-Arctic valley of Northern Quebec F. Domine et al. https://doi.org/10.5194/essd-16-1523-2024
- Life Under the Snow: Camera Trap Videos Capture Year‐Round Lemming Activity and Behavior M. Poirier et al. https://doi.org/10.1111/1749-4877.70209
- Atmospheric and surface observations during the Saint John River Experiment on Cold Season Storms (SAJESS) H. Thompson et al. https://doi.org/10.5194/essd-15-5785-2023
- Comparative analysis of soil thermal conductivity in the permafrost regions of the Qinghai–Tibetan Plateau and the Arctic W. Liu et al. https://doi.org/10.1016/j.geoderma.2025.117409
- Long-term decomposition of above- and below-ground tissue of two Arctic shrub species A. Ola et al. https://doi.org/10.1139/as-2025-0001
- Preliminary simulation of spatial distribution patterns of soil thermal conductivity in permafrost of the Arctic W. Liu et al. https://doi.org/10.1080/17538947.2023.2274417
- Permafrost, active layer, and meteorological data (2010–2020) at the Mahan Mountain relict permafrost site of northeastern Qinghai–Tibet Plateau T. Wu et al. https://doi.org/10.5194/essd-14-1257-2022
- Carbon dynamics in an alluvial fan in the eastern Canadian Arctic A. Ola et al. https://doi.org/10.1016/j.geodrs.2024.e00841
- Carboxylation capacity is the main limitation of carbon assimilation in High Arctic shrubs J. Paillassa et al. https://doi.org/10.1111/pce.15097
- Exploring the decision-making process in model development: focus on the Arctic snowpack C. Menard et al. https://doi.org/10.5194/tc-18-4671-2024
- Radar-equivalent snowpack: reducing the number of snow layers while retaining their microwave properties and bulk snow mass J. Meloche et al. https://doi.org/10.5194/tc-19-2949-2025
- Improving soil temperature simulation accuracy in Arctic permafrost regions by incorporation surface organic layer in CLM5.0 Y. Liu et al. https://doi.org/10.1016/j.agrformet.2026.111476
- Lemming winter habitat: the quest for warm and soft snow M. Poirier et al. https://doi.org/10.1007/s00442-023-05385-y
- Permafrost cooled in winter by thermal bridging through snow-covered shrub branches F. Domine et al. https://doi.org/10.1038/s41561-022-00979-2
- Improving large-scale snow albedo modeling using a climatology of light-absorbing particle deposition M. Gaillard et al. https://doi.org/10.5194/tc-19-769-2025
- Automated observation of physical snowpack properties in Ny-Ålesund F. Scoto et al. https://doi.org/10.3389/feart.2023.1123981
- Biases in radiative flux observations due to precipitation across the Arctic forest-tundra ecotone T. Kim et al. https://doi.org/10.1016/j.agrformet.2025.110814
- Exploration of Thermal Bridging Through Shrub Branches in Alpine Snow F. Domine et al. https://doi.org/10.1029/2023GL105100
- Metamorphism of snow on Arctic sea ice during the melt season: impact on spectral albedo and radiative fluxes through snow G. Vérin et al. https://doi.org/10.5194/tc-16-3431-2022
- Improving the CLASSIC (v1.8) snow model to better simulate Arctic snowpacks M. Lalande et al. https://doi.org/10.5194/gmd-19-9581-2026
- Evaluating the impact of different freezing-point depression equations on permafrost hydrothermal processes in the Arctic and Qinghai-Tibet Plateau with CLM5.0 S. Wang et al. https://doi.org/10.1016/j.agrformet.2026.111034
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Short summary
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.
Current sophisticated snow physics models were mostly designed for alpine conditions and cannot...
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