A Database of Snow on Sea Ice in the Central Arctic Collected during the MOSAiC expedition.

Autor: Macfarlane AR; WSL Institute for Snow and Avalanche Research SLF, Davos Dorf, Switzerland. amyrmacfarlane@gmail.com., Schneebeli M; WSL Institute for Snow and Avalanche Research SLF, Davos Dorf, Switzerland. schneebeli@slf.ch., Dadic R; WSL Institute for Snow and Avalanche Research SLF, Davos Dorf, Switzerland. ruzica.dadic@gmail.com.; Victoria University of Wellington, Wellington, New Zealand. ruzica.dadic@gmail.com., Tavri A; Department of Geography, University of Victoria, Victoria, BC, Canada. tavri.katia@gmail.com., Immerz A; Alfred-Wegener-Institut Helmholtz-Zenütrum fr Polar und Meeresforschung, Bremerhaven, Germany., Polashenski C; Thayer School of Engineering at Dartmouth College, Hanover, New Hampshire, USA., Krampe D; Alfred-Wegener-Institut Helmholtz-Zenütrum fr Polar und Meeresforschung, Bremerhaven, Germany., Clemens-Sewall D; Thayer School of Engineering at Dartmouth College, Hanover, New Hampshire, USA., Wagner DN; WSL Institute for Snow and Avalanche Research SLF, Davos Dorf, Switzerland. david.wagner@slf.ch.; CRYOS, School of Architecture, Civil and Environmental Engineering, EPFL, Lausanne, Switzerland. david.wagner@slf.ch., Perovich DK; Thayer School of Engineering at Dartmouth College, Hanover, New Hampshire, USA., Henna-Reetta H; Finnish Meteorological Institute, Helsinki, Finland., Raphael I; Thayer School of Engineering at Dartmouth College, Hanover, New Hampshire, USA., Matero I; Svalbard Integrated Arctic Earth Observing System, P.O. Box 156, 9171, Longyearbyen, Norway., Regnery J; Alfred-Wegener-Institut Helmholtz-Zenütrum fr Polar und Meeresforschung, Bremerhaven, Germany., Smith MM; Woods Hole Oceanographic Institution, Woods Hole, Massachusetts, USA., Nicolaus M; Alfred-Wegener-Institut Helmholtz-Zenütrum fr Polar und Meeresforschung, Bremerhaven, Germany., Jaggi M; WSL Institute for Snow and Avalanche Research SLF, Davos Dorf, Switzerland., Oggier M; International Arctic Research Center, University of Alaska Fairbanks, Fairbanks, USA., Webster MA; International Arctic Research Center, University of Alaska Fairbanks, Fairbanks, USA., Lehning M; WSL Institute for Snow and Avalanche Research SLF, Davos Dorf, Switzerland.; CRYOS, School of Architecture, Civil and Environmental Engineering, EPFL, Lausanne, Switzerland., Kolabutin N; Arctic and Antarctic Research Institute, AARI, Saint-Petersburg, Russia., Itkin P; UiT The Arctic University of Norway, Tromsø, Norway., Naderpour R; WSL Institute for Snow and Avalanche Research SLF, Davos Dorf, Switzerland., Pirazzini R; Finnish Meteorological Institute, Helsinki, Finland., Hämmerle S; SCANCO medical AG, Wangen-Brüttisellen, Switzerland., Arndt S; Alfred-Wegener-Institut Helmholtz-Zenütrum fr Polar und Meeresforschung, Bremerhaven, Germany., Fons S; Cryospheric Sciences Lab, NASA Goddard Space Flight Center, Greenbelt, Maryland, USA.; Earth System Science Interdisciplinary Center, University of Maryland, College Park, Maryland, USA.
Jazyk: angličtina
Zdroj: Scientific data [Sci Data] 2023 Jun 22; Vol. 10 (1), pp. 398. Date of Electronic Publication: 2023 Jun 22.
DOI: 10.1038/s41597-023-02273-1
Abstrakt: Snow plays an essential role in the Arctic as the interface between the sea ice and the atmosphere. Optical properties, thermal conductivity and mass distribution are critical to understanding the complex Arctic sea ice system's energy balance and mass distribution. By conducting measurements from October 2019 to September 2020 on the Multidisciplinary drifting Observatory for the Study of Arctic Climate (MOSAiC) expedition, we have produced a dataset capturing the year-long evolution of the physical properties of the snow and surface scattering layer, a highly porous surface layer on Arctic sea ice that evolves due to preferential melt at the ice grain boundaries. The dataset includes measurements of snow during MOSAiC. Measurements included profiles of depth, density, temperature, snow water equivalent, penetration resistance, stable water isotope, salinity and microcomputer tomography samples. Most snowpit sites were visited and measured weekly to capture the temporal evolution of the physical properties of snow. The compiled dataset includes 576 snowpits and describes snow conditions during the MOSAiC expedition.
(© 2023. The Author(s).)
Databáze: MEDLINE
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