Abstract. Seasonal snow covers Arctic lands 6 to 10 months of the
year and is therefore an essential element of the Arctic geosphere and
biosphere. Yet, even the most sophisticated snow physics models are not able
to simulate fundamental physical properties of Arctic snowpacks such as
density, thermal conductivity and specific surface area. The development of
improved snow models is in progress, but testing requires detailed driving
and validation data for high Arctic herb tundra sites, which are presently
not available. We present 6 years of such data for an ice-wedge polygonal
site in the Canadian high Arctic, in Qarlikturvik valley on Bylot Island at
73.15∘ N. The site is on herb tundra with no erect vegetation and
thick permafrost. Detailed soil properties are provided. Driving data are
comprised of air temperature, air relative and specific humidity, wind
speed, shortwave and longwave downwelling radiation, atmospheric pressure,
and precipitation. Validation data include time series of snow depth,
shortwave and longwave upwelling radiation, surface temperature, snow
temperature profiles, soil temperature and water content profiles at five
depths, snow thermal conductivity at three heights, and soil thermal
conductivity at 10 cm depth. Field campaigns in mid-May for 5 of the 6 years
of interest provided spatially averaged snow depths and vertical profiles of
snow density and specific surface area in the polygon of interest and at
other spots in the valley. Data are available at
https://doi.org/10.5885/45693CE-02685A5200DD4C38 (Domine et al., 2021). Data
files will be updated as more years of data become available.