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
-
Published:2021-09-07
Issue:9
Volume:13
Page:4331-4348
-
ISSN:1866-3516
-
Container-title:Earth System Science Data
-
language:en
-
Short-container-title:Earth Syst. Sci. Data
Author:
Domine FlorentORCID, Lackner GeorgORCID, Sarrazin Denis, Poirier MathildeORCID, Belke-Brea MariaORCID
Abstract
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.
Funder
Natural Sciences and Engineering Research Council of Canada Institut Polaire Français Paul Emile Victor Fondation BNP Paribas Horizon 2020
Publisher
Copernicus GmbH
Subject
General Earth and Planetary Sciences
Reference50 articles.
1. Barrere, M. and Domine, F.: Snow, soil and meteorological data at Bylot
Island for simulating the permafrost thermal regime and evaluating output of
the SURFEXv8 land surface scheme, v. 1.0 (1979–2015), Nordicana, D29, https://doi.org/10.5885/45460CE-9B80A99D55F94D95, 2017. 2. Barrere, M., Domine, F., Decharme, B., Morin, S., Vionnet, V., and Lafaysse, M.: Evaluating the performance of coupled snow–soil models in SURFEXv8 to simulate the permafrost thermal regime at a high Arctic site, Geosci. Model Dev., 10, 3461–3479, https://doi.org/10.5194/gmd-10-3461-2017, 2017. 3. Bartelt, P. and Lehning, M.: A physical SNOWPACK model for the Swiss
avalanche warning Part I: numerical model, Cold Regions Sci. Tech., 35,
123–145, 2002. 4. Bilodeau, F., Gauthier, G., and Berteaux, D.: The effect of snow cover on
lemming population cycles in the Canadian High Arctic, Oecologia, 172,
1007–1016, https://doi.org/10.1007/s00442-012-2549-8, 2013. 5. Boike, J., Kattenstroth, B., Abramova, K., Bornemann, N., Chetverova, A., Fedorova, I., Fröb, K., Grigoriev, M., Grüber, M., Kutzbach, L., Langer, M., Minke, M., Muster, S., Piel, K., Pfeiffer, E.-M., Stoof, G., Westermann, S., Wischnewski, K., Wille, C., and Hubberten, H.-W.: Baseline characteristics of climate, permafrost and land cover from a new permafrost observatory in the Lena River Delta, Siberia (1998–2011), Biogeosciences, 10, 2105–2128, https://doi.org/10.5194/bg-10-2105-2013, 2013.
Cited by
13 articles.
订阅此论文施引文献
订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献
|
|