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A Database of Snow on Sea Ice in the Central Arctic Collected during the MOSAiC expedition.
Macfarlane, Amy R; Schneebeli, Martin; Dadic, Ruzica; Tavri, Aikaterini; Immerz, Antonia; Polashenski, Chris; Krampe, Daniela; Clemens-Sewall, David; Wagner, David N; Perovich, Donald K; Henna-Reetta, Hannula; Raphael, Ian; Matero, Ilkka; Regnery, Julia; Smith, Madison M; Nicolaus, Marcel; Jaggi, Matthias; Oggier, Marc; Webster, Melinda A; Lehning, Michael; Kolabutin, Nikolai; Itkin, Polona; Naderpour, Reza; Pirazzini, Roberta; Hämmerle, Stefan; Arndt, Stefanie; Fons, Steven.
Afiliação
  • 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.
  • Tavri A; Victoria University of Wellington, Wellington, New Zealand. ruzica.dadic@gmail.com.
  • Immerz A; Department of Geography, University of Victoria, Victoria, BC, Canada. tavri.katia@gmail.com.
  • Polashenski C; Alfred-Wegener-Institut Helmholtz-Zenütrum fr Polar und Meeresforschung, Bremerhaven, Germany.
  • Krampe D; Thayer School of Engineering at Dartmouth College, Hanover, New Hampshire, USA.
  • Clemens-Sewall D; Alfred-Wegener-Institut Helmholtz-Zenütrum fr Polar und Meeresforschung, Bremerhaven, Germany.
  • Wagner DN; Thayer School of Engineering at Dartmouth College, Hanover, New Hampshire, USA.
  • Perovich DK; WSL Institute for Snow and Avalanche Research SLF, Davos Dorf, Switzerland. david.wagner@slf.ch.
  • Henna-Reetta H; CRYOS, School of Architecture, Civil and Environmental Engineering, EPFL, Lausanne, Switzerland. david.wagner@slf.ch.
  • Raphael I; Thayer School of Engineering at Dartmouth College, Hanover, New Hampshire, USA.
  • Matero I; Finnish Meteorological Institute, Helsinki, Finland.
  • Regnery J; Thayer School of Engineering at Dartmouth College, Hanover, New Hampshire, USA.
  • Smith MM; Svalbard Integrated Arctic Earth Observing System, P.O. Box 156, 9171, Longyearbyen, Norway.
  • Nicolaus M; Alfred-Wegener-Institut Helmholtz-Zenütrum fr Polar und Meeresforschung, Bremerhaven, Germany.
  • Jaggi M; Woods Hole Oceanographic Institution, Woods Hole, Massachusetts, USA.
  • Oggier M; Alfred-Wegener-Institut Helmholtz-Zenütrum fr Polar und Meeresforschung, Bremerhaven, Germany.
  • Webster MA; WSL Institute for Snow and Avalanche Research SLF, Davos Dorf, Switzerland.
  • Lehning M; International Arctic Research Center, University of Alaska Fairbanks, Fairbanks, USA.
  • Kolabutin N; International Arctic Research Center, University of Alaska Fairbanks, Fairbanks, USA.
  • Itkin P; WSL Institute for Snow and Avalanche Research SLF, Davos Dorf, Switzerland.
  • Naderpour R; CRYOS, School of Architecture, Civil and Environmental Engineering, EPFL, Lausanne, Switzerland.
  • Pirazzini R; Arctic and Antarctic Research Institute, AARI, Saint-Petersburg, Russia.
  • Hämmerle S; UiT The Arctic University of Norway, Tromsø, Norway.
  • Arndt S; WSL Institute for Snow and Avalanche Research SLF, Davos Dorf, Switzerland.
  • Fons S; Finnish Meteorological Institute, Helsinki, Finland.
Sci Data ; 10(1): 398, 2023 Jun 22.
Article em En | MEDLINE | ID: mdl-37349340
ABSTRACT
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.

Texto completo: 1 Base de dados: MEDLINE Idioma: En Revista: Sci Data Ano de publicação: 2023 Tipo de documento: Article País de afiliação: Suíça

Texto completo: 1 Base de dados: MEDLINE Idioma: En Revista: Sci Data Ano de publicação: 2023 Tipo de documento: Article País de afiliação: Suíça