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.

Details

Title
A Database of Snow on Sea Ice in the Central Arctic Collected during the MOSAiC expedition
Author
Macfarlane, Amy R. 1   VIAFID ORCID Logo  ; Schneebeli, Martin 1   VIAFID ORCID Logo  ; Dadic, Ruzica 2 ; Tavri, Aikaterini 3 ; Immerz, Antonia 4 ; Polashenski, Chris 5 ; Krampe, Daniela 4   VIAFID ORCID Logo  ; Clemens-Sewall, David 5 ; Wagner, David N. 6 ; Perovich, Donald K. 5 ; Henna-Reetta, Hannula 7 ; Raphael, Ian 5 ; Matero, Ilkka 8 ; Regnery, Julia 4 ; Smith, Madison M. 9 ; Nicolaus, Marcel 4 ; Jaggi, Matthias 1 ; Oggier, Marc 10 ; Webster, Melinda A. 10 ; Lehning, Michael 6 ; Kolabutin, Nikolai 11 ; Itkin, Polona 12 ; Naderpour, Reza 1 ; Pirazzini, Roberta 7 ; Hämmerle, Stefan 13 ; Arndt, Stefanie 4 ; Fons, Steven 14 

 WSL Institute for Snow and Avalanche Research SLF, Davos Dorf, Switzerland (GRID:grid.419754.a) (ISNI:0000 0001 2259 5533) 
 WSL Institute for Snow and Avalanche Research SLF, Davos Dorf, Switzerland (GRID:grid.419754.a) (ISNI:0000 0001 2259 5533); Victoria University of Wellington, Wellington, New Zealand (GRID:grid.267827.e) (ISNI:0000 0001 2292 3111) 
 University of Victoria, Department of Geography, Victoria, Canada (GRID:grid.143640.4) (ISNI:0000 0004 1936 9465) 
 Alfred-Wegener-Institut Helmholtz-Zenütrum fr Polar und Meeresforschung, Bremerhaven, Germany (GRID:grid.10894.34) (ISNI:0000 0001 1033 7684) 
 Thayer School of Engineering at Dartmouth College, Hanover, USA (GRID:grid.254880.3) (ISNI:0000 0001 2179 2404) 
 WSL Institute for Snow and Avalanche Research SLF, Davos Dorf, Switzerland (GRID:grid.419754.a) (ISNI:0000 0001 2259 5533); CRYOS, School of Architecture, Civil and Environmental Engineering, EPFL, Lausanne, Switzerland (GRID:grid.5333.6) (ISNI:0000000121839049) 
 Finnish Meteorological Institute, Helsinki, Finland (GRID:grid.8657.c) (ISNI:0000 0001 2253 8678) 
 Svalbard Integrated Arctic Earth Observing System, Longyearbyen, Norway (GRID:grid.254880.3) 
 Woods Hole Oceanographic Institution, Woods Hole, USA (GRID:grid.56466.37) (ISNI:0000 0004 0504 7510) 
10  University of Alaska Fairbanks, International Arctic Research Center, Fairbanks, USA (GRID:grid.70738.3b) (ISNI:0000 0004 1936 981X) 
11  Arctic and Antarctic Research Institute, AARI, Saint-Petersburg, Russia (GRID:grid.424187.c) (ISNI:0000 0001 1942 9788) 
12  UiT The Arctic University of Norway, Tromsø, Norway (GRID:grid.10919.30) (ISNI:0000000122595234) 
13  SCANCO medical AG, Wangen-Brüttisellen, Switzerland (GRID:grid.483604.d) (ISNI:0000 0004 6011 7606) 
14  Cryospheric Sciences Lab, NASA Goddard Space Flight Center, Greenbelt, USA (GRID:grid.133275.1) (ISNI:0000 0004 0637 6666); University of Maryland, Earth System Science Interdisciplinary Center, College Park, USA (GRID:grid.164295.d) (ISNI:0000 0001 0941 7177) 
Pages
398
Publication year
2023
Publication date
2023
Publisher
Nature Publishing Group
e-ISSN
20524463
Source type
Scholarly Journal
Language of publication
English
ProQuest document ID
2828554594
Copyright
© The Author(s) 2023. corrected publication 2023. This work is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.