First-year sea-ice salinity, temperature, density, nutrient, oxygen and hydrogen isotope composition from the main coring site (MCS-FYI) during MOSAiC legs 1 to 4 in 2019/2020, version 2

DOI

First-year sea-ice thickness, draft, salinity, temperature, nutrient concentrations ([NO3]- [NO2]; [NH4]; [PO4]-; [Si(OH)4]), stable water isotope composition and ice density were measured during near-weekly surveys at the main first-year ice coring site (MCS-FYI) during the MOSAiC expedition (legs 1 to 4). The ice cores were extracted either with a 9-cm (Mark II) or 7.25-cm (Mark III) internal diameter ice corers (Kovacs Enterprise, US). This data set includes data from 23 coring site visits that were performed from 28 October 2019 to 29 July 2020 at coring locations within 130 m of each other in the MOSAiC Central Observatory. During each coring event, ice temperature was measured in situ from a separate temperature core, using Testo 720 thermometers in drill holes with a length of half-core-diameter at 5-cm vertical resolution. Ice bulk practical salinity, isotope, and nutrient samples were subsampled from the same melted core segment (5-cm resolution). Ice bulk practical salinity was measured using a YSI 30 conductivity meter. Nutrient analyses were conducted shipboard or samples were frozen and analyzed at a shore-based lab. In either case, analyses were conducted colorimetrically using a Seal Analytical AA3 continuous flow auto analyzer (AACE Software, Version 7.09). Measurement of nutrients followed best practices adopted from GO-SHIP recommendations (Hydes et al., 2010; Becker et al., 2020). Ice density was measured using the hydrostatic weighing method in air and kerosene (Pustogvar and Kulyakhtin, 2016) from a density core in the freezer laboratory onboard Polarstern at the temperature of –15°C. Relative volumes of brine and gas were estimated from ice salinity, temperature, and density using Cox and Weeks (1983) for cold ice and Leppäranta and Manninen (1988) for ice warmer than –2°C.The data contains the event label (1), date/time (2), and global coordinates (3,4) of each coring activity. Each salinity/isotope/nutrient core has its manually measured ice thickness (5), ice draft (6), core length (7), and mean snow height (19). Each core section has the total length of its top (8) and bottom (9) measured in situ, as well as the estimated depth of section top (10), bottom (11), and middle (12). The depth estimates assume that the total length of all core sections is equal to the measured ice thickness. Each core section has the value of its practical salinity (13), in situ temperature (14), ice density at the laboratory (15) and in situ (16) temperatures, brine volume fraction (17), gas volume fraction (18), nitrate + nitrite (plus error and quality flag; 20, 21, 22), nitrite (23, 24, 25), ammonium (26, 27, 28), phosphate (29, 30, 31), silicate (32, 33, 34), stable water isotopic sample ID and values (35, 36, 37, 38) (Meyer et al., 2000). Temperature, density, and gas volume fraction values were interpolated to the depth of salinity/isotope/nutrient measurements. The global coordinates of coring sites were measured directly. When it was not possible, coordinates of the nearby temperature buoy 2019T66 were used. Ice mass balance buoy 2019T66 installation is described in doi:10.1594/PANGAEA.938134. Sea-ice density at in situ temperatures (16) and brine volume (17) fraction estimates are presented only for brine volume fraction values from 0 to 30%. Ice temperatures were assumed to be not higher than -0.1°C. Estimates of sea-ice density at in situ temperatures and gas volume fraction are made using measurements of density and salinity of a separate density core and are not shown if any of these measurements were not performed. Measurements of snow height include the thickness of the surface scattering layer. Each core section also has comments (36) describing if the sample is from a false bottom, from rafted ice, or has any other special characteristics.

Identifier
DOI https://doi.pangaea.de/10.1594/PANGAEA.971385
Related Identifier References https://doi.org/10.3389/feart.2022.864523
Related Identifier References https://doi.org/10.5281/zenodo.4719904
Related Identifier References https://doi.org/10.1525/elementa.2022.00035
Related Identifier IsDerivedFrom https://doi.org/10.1594/PANGAEA.938134
Related Identifier IsVariantFormOf https://doi.org/10.1594/PANGAEA.956732
Related Identifier References https://doi.org/10.3389/fmars.2020.581790
Related Identifier References https://doi.org/10.3189/S0022143000008364
Related Identifier References https://doi.org/10.1080/10256010008032939
Related Identifier References https://doi.org/10.1016/j.coldregions.2016.09.001
Metadata Access https://ws.pangaea.de/oai/provider?verb=GetRecord&metadataPrefix=datacite4&identifier=oai:pangaea.de:doi:10.1594/PANGAEA.971385
Provenance
Creator Oggier, Marc ORCID logo; Salganik, Evgenii ORCID logo; Whitmore, Laura M ORCID logo; Fong, Allison A ORCID logo; Hoppe, Clara Jule Marie ORCID logo; Rember, Robert ORCID logo; Høyland, Knut Vilhelm; Gradinger, Rolf ORCID logo; Divine, Dmitry V ORCID logo; Fons, Steven W ORCID logo; Abrahamsson, Katarina; Aguilar-Islas, Ana M; Angelopoulos, Michael ORCID logo; Arndt, Stefanie ORCID logo; Balmonte, John Paul ORCID logo; Bozzato, Deborah ORCID logo; Bowman, Jeff S ORCID logo; Castellani, Giulia (ORCID: 0000-0001-6151-015X); Chamberlain, Emelia; Creamean, Jessie ORCID logo; D'Angelo, Alessandra ORCID logo; Damm, Ellen ORCID logo; Dietrich, Ulrike; Droste, Elise Sayana ORCID logo; Dumitrascu, Adela; Eggers, Lena; Gardner, Jessie; Grosfeld, Lisa; Haapala, Jari ORCID logo; Heitmann, Laura; Immerz, Antonia ORCID logo; Kolabutin, Nikolai; Lange, Benjamin Allen ORCID logo; Lei, Ruibo ORCID logo; Marsay, Christopher M ORCID logo; Maus, Sönke; Müller, Oliver (ORCID: 0000-0001-5405-052X); Olsen, Lasse Mørk; Nuibom, Alexey; Ren, Jian ORCID logo; Rinke, Annette ORCID logo; Schmidt, Katrin (ORCID: 0000-0002-6488-623X); Sheikin, Igor; Shimanchuk, Egor; Snoeijs-Leijonmalm, Pauline; Spahic, Susanne; Stefels, Jacqueline; Torres-Valdés, Sinhué ORCID logo; Torstensson, Anders (ORCID: 0000-0002-8283-656X); Ulfsbo, Adam ORCID logo; Verdugo, Josefa ORCID logo; Vortkamp, Martina; Wang, Lei ORCID logo; Webster, Melinda ORCID logo; Granskog, Mats A ORCID logo
Publisher PANGAEA
Contributor Meyer, Hanno
Publication Year 2024
Funding Reference Alfred Wegener Institute, Helmholtz Centre for Polar and Marine Research, Bremerhaven https://doi.org/10.13039/501100003207 Crossref Funder ID AFMOSAiC-1_00 Multidisciplinary drifting Observatory for the Study of Arctic Climate; Alfred Wegener Institute, Helmholtz Centre for Polar and Marine Research, Bremerhaven https://doi.org/10.13039/501100003207 Crossref Funder ID AWI_PS122_00 Multidisciplinary drifting Observatory for the Study of Arctic Climate / MOSAiC; Dutch Research Council https://doi.org/10.13039/501100003246 Crossref Funder ID 866.18.002 Artic Sea Ice-Pelagic coupling of the Carbon and Sulfur cycles; Horizon 2020 https://doi.org/10.13039/501100007601 Crossref Funder ID 730965 doi:10.3030/730965 Arctic Research Icebreaker Consortium: A strategy for meeting the needs for marine-based research in the Arctic (ARICE); National Natural Science Foundation of China https://doi.org/10.13039/501100001809 Crossref Funder ID 41976219 ; National Science Foundation https://doi.org/10.13039/100000001 Crossref Funder ID 1735862 https://www.nsf.gov/awardsearch/showAward?AWD_ID=1735862 Chemical, Physical and Biological processes linking snow and sea ice to the Arctic Ocean mixed layer: Improving models through the MOSAiC platform; National Science Foundation https://doi.org/10.13039/100000001 Crossref Funder ID 1753418 https://www.nsf.gov/awardsearch/showAward?AWD_ID=1753418 Collaborative Research: Defining the Atmospheric Deposition of Trace eEements into the Arctic Ocean-Ice Ecosystem During the Year-Long MOSAIC Ice Drift; National Science Foundation https://doi.org/10.13039/100000001 Crossref Funder ID 1821911 https://www.nsf.gov/awardsearch/showAward?AWD_ID=1821911 Collaborative Research: Quantifying microbial controls on the annual cycle of methane and oxygen within the ultraoligotrophic Central Arctic during MOSAiC; Swedish Research Council https://doi.org/10.13039/501100004359 Crossref Funder ID 2018-00509_Formas https://www.vr.se/english/swecris.html#/project/2018-00509_Formas How warming of the Central Arctic Ocean changes the metabolic functions of sympagic and pelagic microbiomes, with emphasis on carbon and nitrogen cycling; Swedish Research Council https://doi.org/10.13039/501100004359 Crossref Funder ID 2018-01398_Formas https://www.vr.se/english/swecris.html#/project/2018-01398_Formas Drivers of anthropogenic changes in carbon storage and ocean acidification in the new Arctic Ocean (DRACO2); Swedish Research Council https://doi.org/10.13039/501100004359 Crossref Funder ID 2018-04685_VR https://www.vr.se/english/swecris.html#/project/2018-04685_VR Uncovering the seasonality of sympagic and pelagic microbiomes and their metabolic functions in the Central Arctic Ocean with emphasis on carbon and nitrogen cycling; The Research Council of Norway https://doi.org/10.13039/501100005416 Crossref Funder ID 280292 https://prosjektbanken.forskningsradet.no/en/project/FORISS/280292 Ridges - Safe HAVens for ice-associated Flora and Fauna in a Seasonally ice-covered Arctic OCean; United States Department of Energy, Atmospheric Systems Research Program https://doi.org/10.13039/100006132 Crossref Funder ID DE-AC05-76RL01830 ; United States Department of Energy, Atmospheric Systems Research Program https://doi.org/10.13039/100006132 Crossref Funder ID DE-SC0019745 Evaluation of ice nucleating particles and their sources in the central Arctic during MOSAiC; United States Department of Energy, Atmospheric Systems Research Program https://doi.org/10.13039/100006132 Crossref Funder ID DE-SC0022046 https://pamspublic.science.energy.gov/WebPAMSExternal/Interface/Common/ViewPublicAbstract.aspx?rv=a2093134-feb9-41c9-b69e-820c5a81d8d2&rtc=24&PRoleId=10 Closing the gap on understudied aerosol-climate processes in the rapidly changing central Arctic
Rights Creative Commons Attribution 4.0 International; Data access is restricted (moratorium, sensitive data, license constraints); https://creativecommons.org/licenses/by/4.0/
OpenAccess false
Representation
Resource Type Dataset
Format text/tab-separated-values
Size 15865 data points
Discipline Earth System Research
Spatial Coverage (-2.658W, 79.249S, 126.394E, 87.788N); Arctic Ocean
Temporal Coverage Begin 2019-10-27T23:46:00Z
Temporal Coverage End 2020-07-29T10:00:00Z