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Physical properties of sea ice cores from L sites measured on leg 1 of the MOSAiC expedition

Urheber*innen

Angelopoulos,  Michael
External Organizations;

Damm,  Ellen
External Organizations;

Simões Pereira,  Patric
External Organizations;

Abrahamsson,  Katarina
External Organizations;

Bauch,  Dorothea
External Organizations;

Bowman,  Jeff S.
External Organizations;

Dumitrascu,  Adela
External Organizations;

Marsay,  Christopher M.
External Organizations;

Rinke,  Annette
External Organizations;

/persons/resource/tsachs

Sachs,  T.
1.4 Remote Sensing, 1.0 Geodesy, Departments, GFZ Publication Database, Deutsches GeoForschungsZentrum;

Stefels,  Jacqueline
External Organizations;

Stephens,  Mark
External Organizations;

Verdugo,  Josefa
External Organizations;

Wang,  Lei
External Organizations;

Zhan,  Liyang
External Organizations;

Externe Ressourcen

https://doi.org/10.1594/PANGAEA.943811
(Ergänzendes Material)

Volltexte (frei zugänglich)
Es sind keine frei zugänglichen Volltexte in GFZpublic verfügbar
Ergänzendes Material (frei zugänglich)
Es sind keine frei zugänglichen Ergänzenden Materialien verfügbar
Zitation

Angelopoulos, M., Damm, E., Simões Pereira, P., Abrahamsson, K., Bauch, D., Bowman, J. S., Dumitrascu, A., Marsay, C. M., Rinke, A., Sachs, T., Stefels, J., Stephens, M., Verdugo, J., Wang, L., Zhan, L. (2022): Physical properties of sea ice cores from L sites measured on leg 1 of the MOSAiC expedition.
https://doi.org/10.1594/PANGAEA.943815


Zitierlink: https://gfzpublic.gfz-potsdam.de/pubman/item/item_5014967
Zusammenfassung
We present sea ice temperature and salinity data from first-year ice (FYI) and second-year ice (SYI) relevant to the temporal development of sea ice permeability and brine drainage efficiency from the early growth phase in October 2019 to the onset of spring warming in May 2020. Our dataset was collected in the central Arctic Ocean during the Multidisciplinary drifting Observatory for the Study of Arctic Climate (MOSAiC) Expedition in 2019 to 2020. MOSAiC was an international transpolar drift expedition in which the German icebreaker RV Polarstern anchored into an ice floe to gain new insights into Arctic climate over a full annual cycle. In October 2019, RV Polarstern moored to an ice floe in the Siberian sector of the Arctic at 85 degrees north and 137 degrees east to begin the drift towards the North Pole and the Fram Strait via the Transpolar Drift Stream. The data presented here were collected during the first three legs of the expedition, so all the coring activities took place on the same floe. The end dates of legs 1, 2, and 3 were 13 December, 24 February, and 4 June, respectively. The dataset contributed to a baseline study entitled, Deciphering the properties of different Arctic ice types during the growth phase of the MOSAiC floes: Implications for future studies. The study highlights downward directed gas pathways in FYI and SYI by inferring sea ice permeability and potential brine release from several time series of temperature and salinity measurements. The physical properties presented in this paper lay the foundation for subsequent analyses on actual gas contents measured in the ice cores, as well as air-ice and ice-ocean gas fluxes. Sea ice cores were collected with a Kovacs Mark II 9 cm diameter corer. To measure ice temperatures, about 4.5 cm deep holes were drilled into the core (intervals varied by site and leg) . The temperatures were measured by a digital thermometer within minutes after the cores were retrieved. The ice cores were placed into pre-labelled plastic sleeves sealed at the bottom end. The ice cores were transported to RV Polarstern and stored in a -20 degrees Celsius freezer. Each of the cores was sub-sampled, melted at room temperature, and processed for salinity within one or two days. The practical salinity was estimated by measuring the electrical conductivity and temperature of the melted samples using a WTW Cond 3151 salinometer equipped with a Tetra-Con 325 four-electrode conductivity cell. The practical salinity represents the the salinity estimated from the electrical conductivity of the solution. The dataset also contains derived variables, including sea ice density, brine volume fraction, and the Rayleigh number.