GLORIA

GEOMAR Library Ocean Research Information Access

feed icon rss

Your email was sent successfully. Check your inbox.

An error occurred while sending the email. Please try again.

Proceed reservation?

Export
Filter
Document type
Keywords
Years
  • 1
    Publication Date: 2022-06-07
    Description: The Author(s), 2022. This article is distributed under the terms of the Creative Commons Attribution License. The definitive version was published in Rabe, B., Heuze, C., Regnery, J., Aksenov, Y., Allerholt, J., Athanase, M., Bai, Y., Basque, C., Bauch, D., Baumann, T. M., Chen, D., Cole, S. T., Craw, L., Davies, A., Damm, E., Dethloff, K., Divine, D., Doglioni, F., Ebert, F., Fang, Y-C., Fer, I., Fong, A. A., Gradinger, R., Granskog, M. A., Graupner, R., Haas, C., He, H., He, Y., Hoppmann, M., Janout, M., Kadko, D., Kanzow, T., Karam, S., Kawaguchi, Y., Koenig, Z., Kong, B., Krishfield, R. A., Krumpen, T., Kuhlmey, D., Kuznetsov, I., Lan, M., Laukert, G., Lei, R., Li, T., Torres-Valdés, S., Lin, L,. Lin, L., Liu, H., Liu, N., Loose, B., Ma, X., MacKay, R., Mallet, M., Mallett, R. D. C., Maslowski, W., Mertens, C., Mohrholz, V., Muilwijk, M., Nicolaus, M., O’Brien, J. K., Perovich, D., Ren, J., Rex, M., Ribeiro, N., Rinke, A., Schaffer, J., Schuffenhauer, I., Schulz, K., Shupe, M. D., Shaw, W., Sokolov, V., Sommerfeld, A., Spreen, G., Stanton, T., Stephens, M., Su, J., Sukhikh, N., Sundfjord, A., Thomisch, K., Tippenhauer, S., Toole, J. M., Vredenborg, M., Walter, M., Wang, H., Wang, L., Wang, Y., Wendisch, M., Zhao, J., Zhou, M., & Zhu, J. Overview of the MOSAiC expedition: physical oceanography. Elementa: Science of the Anthropocene, 10(1), (2022): 1, https://doi.org/10.1525/elementa.2021.00062.
    Description: Arctic Ocean properties and processes are highly relevant to the regional and global coupled climate system, yet still scarcely observed, especially in winter. Team OCEAN conducted a full year of physical oceanography observations as part of the Multidisciplinary drifting Observatory for the Study of the Arctic Climate (MOSAiC), a drift with the Arctic sea ice from October 2019 to September 2020. An international team designed and implemented the program to characterize the Arctic Ocean system in unprecedented detail, from the seafloor to the air-sea ice-ocean interface, from sub-mesoscales to pan-Arctic. The oceanographic measurements were coordinated with the other teams to explore the ocean physics and linkages to the climate and ecosystem. This paper introduces the major components of the physical oceanography program and complements the other team overviews of the MOSAiC observational program. Team OCEAN’s sampling strategy was designed around hydrographic ship-, ice- and autonomous platform-based measurements to improve the understanding of regional circulation and mixing processes. Measurements were carried out both routinely, with a regular schedule, and in response to storms or opening leads. Here we present along-drift time series of hydrographic properties, allowing insights into the seasonal and regional evolution of the water column from winter in the Laptev Sea to early summer in Fram Strait: freshening of the surface, deepening of the mixed layer, increase in temperature and salinity of the Atlantic Water. We also highlight the presence of Canada Basin deep water intrusions and a surface meltwater layer in leads. MOSAiC most likely was the most comprehensive program ever conducted over the ice-covered Arctic Ocean. While data analysis and interpretation are ongoing, the acquired datasets will support a wide range of physical oceanography and multi-disciplinary research. They will provide a significant foundation for assessing and advancing modeling capabilities in the Arctic Ocean.
    Description: The following projects and funding agencies contributed to this work: Why is the deep Arctic Ocean Warming is funded by the Swedish Research Council, project number 2018-03859, and berth fees for this project were covered by the Swedish Polar Research Secretariat; The Changing Arctic Ocean (CAO) program, jointly funded by the United Kingdom Research and Innovation (UKRI) Natural Environment Research Council (NERC) and the Bundesministerium für Bildung und Forschung (BMBF), in particular, the CAO projects Advective Pathways of nutrients and key Ecological substances in the ARctic (APEAR) grants NE/R012865/1, NE/R012865/2, and #03V01461, and the project Primary productivity driven by Escalating Arctic NUTrient fluxeS grant #03F0804A; The Research Council of Norway (AROMA, grant no 294396; HAVOC, grant no 280292; and CAATEX, grant no 280531); Collaborative Research: Thermodynamics and Dynamic Drivers of the Arctic Sea Ice Mass Budget at Multidisciplinary drifting Observatory for the Study of the Arctic Climate; National Science Foundation (NSF) projects 1723400, Stanton; OPP-1724551, Shupe; The Helmholtz society strategic investment Frontiers in Arctic Marine monitoring (FRAM); Deutsche Forschungsgemeinschaft (German Research Foundation) through the Transregional Collaborative Research Centre TRR 172 “ArctiC Amplification: Climate Relevant Atmospheric and SurfaCe Processes, and Feedback Mechanisms (AC)3” (grant 268020496); The Japan Society for the Promotion of Science (grant numbers JP18H03745, JP18KK0292, and JP17KK0083) and the COLE grant of U. Tokyo; National Key Research and Development Plan Sub-Project of Ministry of Science and Technology of China (2016YFA0601804), “Simulation, Prediction and Regional Climate Response of Global Warming Hiatus”, 2016/07-2021/06; National Science Foundation grant number OPP-1756100 which funded two of the Ice-Tethered Profilers and all the Ice-Tethered Profiler deployments; Chinese Polar Environmental Comprehensive Investigation and Assessment Programs, funded by the Chinese Arctic and Antarctic Administration; Marine Science and Technology Fund of Shandong Province for Qingdao National Laboratory for Marine Science and Technology (Grant: 2018SDKJ0104-1) and Chinese Natural Science Foundation (Grant: 41941012); UK NERC Long-term Science Multiple Centre National Capability Programme “North Atlantic Climate System Integrated Study (ACSIS)”, grant NE/N018044/1; The London NERC Doctoral Training Partnership grant (NE/L002485/1) which funded RDCM; NSF grant number OPP-1753423, which funded the 7Be tracer –measurements; and The Alfred-Wegener-Institut Helmholtz-Zentrum für Polar- und Meeresforschung (AWI) through its projects: AWI_OCEAN, AWI_ROV, AWI_ICE, AWI_SNOW, AWI_ECO, AWI_ATMO, and AWI_BGC.
    Keywords: Physical oceanography ; MOSAiC ; Arctic ; Coupled ; Drift ; Sea ice
    Repository Name: Woods Hole Open Access Server
    Type: Article
    Location Call Number Limitation Availability
    BibTip Others were also interested in ...
  • 2
    Publication Date: 2024-04-23
    Repository Name: EPIC Alfred Wegener Institut
    Type: Article , peerRev
    Format: application/pdf
    Location Call Number Limitation Availability
    BibTip Others were also interested in ...
  • 3
    Publication Date: 2024-05-08
    Description: The rapid melt of snow and sea ice during the Arctic summer provides a significant source of low-salinity meltwater to the surface ocean on the local scale. The accumulation of this meltwater on, under, and around sea ice floes can result in relatively thin meltwater layers in the upper ocean. Due to the small-scale nature of these upper-ocean features, typically on the order of 1 m thick or less, they are rarely detected by standard methods, but are nevertheless pervasive and critically important in Arctic summer. Observations during the Multidisciplinary drifting Observatory for the Study of Arctic Climate (MOSAiC) expedition in summer 2020 focused on the evolution of such layers and made significant advancements in understanding their role in the coupled Arctic system. Here we provide a review of thin meltwater layers in the Arctic, with emphasis on the new findings from MOSAiC. Both prior and recent observational datasets indicate an intermittent yet longlasting (weeks to months) meltwater layer in the upper ocean on the order of 0.1 m to 1.0 m in thickness, with a large spatial range. The presence of meltwater layers impacts the physical system by reducing bottom ice melt and allowing new ice formation via false bottom growth. Collectively, the meltwater layer and false bottoms reduce atmosphere-ocean exchanges of momentum, energy, and material.The impacts on the coupled Arctic system are far-reaching, including acting as a barrier for nutrient and gas exchange and impacting ecosystem diversity and productivity.
    Repository Name: EPIC Alfred Wegener Institut
    Type: Article , isiRev
    Format: application/pdf
    Location Call Number Limitation Availability
    BibTip Others were also interested in ...
  • 4
    Publication Date: 2024-05-08
    Description: Trace gases have demonstrated their strength for oceanographic studies, with applications ranging from the tracking of glacial meltwater plumes to estimates of the abyssal overturning duration. Yet measurements of such passive tracers in the ice-covered Arctic Ocean are sparse. We here present a unique data set of trace gases collected during the Multidisciplinary drifting Observatory for the Study of Arctic Climate (MOSAiC) expedition, during which R/V Polarstern drifted along with the Arctic sea ice from the Laptev Sea to Fram Strait, from October 2019 to September 2020. During the expedition, trace gases from anthropogenic origin (chlorofluorocarbon 12 (CFC-12), sulfur hexafluoride (SF6), and tritium) along with noble gases (helium and neon) and their isotopes were collected at a weekly or higher temporal resolution throughout the entire water column (and occasionally in the snow) from the ship and from the ice. We describe the sampling procedures along with their challenges, the analysis methods, and the data sets, and we present case studies in the central Arctic Ocean and Fram Strait to illustrate possible usage for the data along with their robustness. Combined with simultaneous hydrographic measurements, these trace gas data sets can be used for process studies and water mass tracing throughout the Arctic in subsequent analyses. The two data sets can be downloaded via PANGAEA: https://doi.org/10.1594/PANGAEA.961729 (Huhn et al., 2023a) and https://doi.org/10.1594/PANGAEA.961738 (Huhn et al., 2023b).
    Repository Name: EPIC Alfred Wegener Institut
    Type: Article , peerRev
    Format: application/pdf
    Location Call Number Limitation Availability
    BibTip Others were also interested in ...
  • 5
    Publication Date: 2024-03-01
    Description: Discrete bottle values of Temperature, Salinity, Dissolved Oxygen, Chlorophyll A fluorescence and Coloured Dissolved Organic Matter (CDOM) collected in the Arctic Ocean, over the western Eurasian Basin and Lomonosov Ridge, between 2 August and 11 September 2021, from I/B Oden. This is the Swedish contribution to the international Synoptic Arctic Survey. This dataset merges the bottle data from the full-depth physical CTD and the shallow biological CTD. Both systems had the standard SeaBird SBE911 plus system with dual sensors to measure in-situ temperature and conductivity and single sensors measuring pressure and oxygen. The physical CTD also had a CDOM sensor (Turner Cyclops fluorometer), while the Chl-A fluorometer (WET Labs, ECO-AFL/FL) was moved throughout the expedition between the two systems. Salinity, Oxygen, Chl-A fluorescence and CDOM were calibrated against sample data collected and analysed by the co-authors: - Salinity samples from the deep stations were analysed post-cruise using a salinometer (Guildline Autosal) and IAPSO standard seawater at the GEOMAR, Germany. - Dissolved oxygen was determined onboard using an automatic Winkler titration setup with UV detection (Scripps Institute of Oceanography Oxygen Titration System version 2.35m). - Chl-A concentration was determined post-cruise from flow cytometry (FCM) at Linnaeus University, Sweden. The samples consisted of 4 mL cryovials, of which 3.8 mL was sample water and 76 μL 25% EM grade glutaraldehyde solution (Glu stock). The samples incubated at room temperature for 5 minutes before flash freezing in liquid nitrogen and then placing in the -80 °C freezer in cryoboxes. - CDOM was determined post-cruise at the National Institute of Aquatic Resources - DTU Aqua, Denmark, following the method of Lawaetz and Stedmon (2009) This dataset contains the bottle data of the casts where bottles were fired. For more information about each sensor and their calibration, the reader is invited to check the cruise report (final version submitted on 20 September; shareable version with DOI coming soon)
    Keywords: Arctic; Arctic Ocean; Arctic Research Icebreaker Consortium: A strategy for meeting the needs for marine-based research in the Arctic; ARICE; Bottle data; Bottle number; CDOM; Chl-a; CTD, Sea-Bird, SBE 911plus; CTD/Rosette; DATE/TIME; Density, mass density; DEPTH, water; Der arktische Ozean 2020 – Ventilationszeitskalen, anthropogener Kohlenstoff und Variabilität in einer sich verändernden Umgebung; DFG_456675218; Event label; Fluorescence, chlorophyll; Fluorescence, colored dissolved organic matter; ITS-90, temperature scale; LATITUDE; LONGITUDE; New insights on ocean circulation and the fate of organic carbon in the Arctic Ocean; NOC; oceanography; Oden; Oxygen; Oxygen, dissolved; Practical Salinity Scale – 1978 (PSU78); Pressure, water; PSU78; Quality flag, absolute salinity; Quality flag, conservative water temperature; Quality flag, density; Quality flag, fluorescence, chlorophyll; Quality flag, fluorescence, colored dissolved organic matter; Quality flag, oxygen; Quality flag, potential water temperature; Quality flag, salinity; Quality flag, water temperature; Salinity; Salinity, absolute; Salinity; Temperature; SAS-Oden_2021; Seadatanet flag: Data quality control procedures according to SeaDataNet (2010); SO21; SO21_01-01; SO21_03-01; SO21_03-02; SO21_05-01; SO21_05-02; SO21_05-03; SO21_07-01; SO21_07-03; SO21_07-04; SO21_07-05; SO21_08-01; SO21_08-02; SO21_08-03; SO21_08-04; SO21_08-06; SO21_08-09; SO21_11-01; SO21_13-01; SO21_13-03; SO21_13-04; SO21_13-05; SO21_16-01; SO21_16-03; SO21_16-04; SO21_16-05; SO21_16-06; SO21_18-01; SO21_18-03; SO21_18-04; SO21_18-05; SO21_20-01; SO21_20-02; SO21_20-03; SO21_22-08; SO21_22-09; SO21_22-10; SO21_22-11; SO21_24-01; SO21_24-02; SO21_24-03; SO21_25-01; SO21_25-02; SO21_26-01; SO21_26-02; SO21_26-03; SO21_26-05; SO21_26-11; SO21_28-01; SO21_28-02; SO21_28-03; SO21_30-01; SO21_30-02; SO21_30-03; SO21_30-11; SO21_30-13; SO21_32-02; SO21_33-01; SO21_33-02; SO21_33-03; SO21_33-05; SO21_35-11; SO21_35-12; SO21_35-13; SO21_35-15; SO21_37-01; SO21_38-08; SO21_38-13; SO21_38-14; SO21_38-15; SO21_38-17; SO21_40-01; SO21_41-01; SO21_42-01; SO21_42-02; SO21_42-06; SO21_42-08; SO21_44-01; SO21_45-01; SO21_46-01; SO21_46-02; SO21_47-01; SO21_48-01; SO21_48-02; SO21_48-04; SO21_50-06; SO21_50-11; SO21_50-13; SO21_50-16; SO21_52-01; SO21_53-07; SO21_53-08; SO21_53-09; SO21_53-14; SO21_53-15; SO21_56-01; SO21_56-03; SO21_56-05; SO21_56-06; SO21_56-07; SO21_56-08; SO21_58-09; SO21_58-12; SO21_58-15; SO21_58-17; SO21_58-18; Synoptic Arctic Survey; Temperature, water; Temperature, water, conservative; Temperature, water, potential; TEOS-10; Thermodynamic Equation Of Seawater - 2010 (TEOS-10); WAOW; Why is the deep Arctic Ocean Warming?
    Type: Dataset
    Format: text/tab-separated-values, 49362 data points
    Location Call Number Limitation Availability
    BibTip Others were also interested in ...
  • 6
    Publication Date: 2024-03-02
    Description: This dataset gives an overview on the hydrographic properties encountered during the Multidisciplinary drifting observatory for the study of Arctic Climate (MOSAiC). It is not the final dataset and it does not contain single profiles. Rather this data set contains the median of the preprocessed data collected with the ship-based conductivity, temperature depth profiler (CTD) as well as one profile of a hand-held CTD operated from the ice. The data collected with the ship-based CTD was processed using the standard SBE processing routines. Additionally, large spikes where removed. The data was interpolated onto a 5 dbar regular grid and subsequently the median was computed over each pressure level. The data collected with the ice-based hand-held CTD was processed manually. Surface values with conductivity readings below 0.5mS/cm and temperature values below the surface freezing temperature were removed. A pressure offset of 2 dbar was subtracted. The data was then binned in 0.1 steps to 5 dbar, in steps of 0.25 to 20 dbar, in steps of 0.5 dbar to 100 dbar and in steps of 1 dbar below. For both, ship-based CTD and ice-based hand-held CTD data Absolute Salinity (SA), Practical Salinity (SP) and Conservative Temperature (CT) where derived using the TEOS-10 GSW toolbox (McDougall and Barker 2011). This work was carried out and data used in this manuscript was produced as part of the international Multidisciplinary drifting Observatory for the Study of the Arctic Climate (MOSAiC) with the tag MOSAiC20192020. We thank all persons involved in the expedition of the Research Vessel Polarstern during MOSAiC in 2019-2020 (AWI_PS122_00) as listed in Nixdorf et al. (2021).
    Keywords: Arctic; Arctic Ocean; AWI_PhyOce; Cruise/expedition; CTD, handheld; CTD/Rosette; CTD-RO; DATE/TIME; Fram Strait; Gear; hCTD; hydrographic data; Identification; LATITUDE; LONGITUDE; Mosaic; MOSAiC; MOSAiC20192020; Multidisciplinary drifting Observatory for the Study of Arctic Climate; Physical Oceanography @ AWI; polar night; Polarstern; Pressure, water; PS122/1; PS122/1_10-41; PS122/1_10-44; PS122/1_10-60; PS122/1_10-64; PS122/1_6-58; PS122/1_6-79; PS122/1_6-81; PS122/1_7-47; PS122/1_7-49; PS122/1_7-80; PS122/1_8-43; PS122/1_8-46; PS122/1_8-71; PS122/1_8-98; PS122/1_9-50; PS122/1_9-61; PS122/1_9-67; PS122/1_9-87; PS122/2; PS122/2_16-21; PS122/2_16-34; PS122/2_17-39; PS122/2_17-41; PS122/2_17-64; PS122/2_17-68; PS122/2_18-32; PS122/2_18-34; PS122/2_18-57; PS122/2_18-74; PS122/2_19-55; PS122/2_19-56; PS122/2_19-76; PS122/2_19-77; PS122/2_20-45; PS122/2_20-46; PS122/2_20-71; PS122/2_20-73; PS122/2_21-64; PS122/2_21-65; PS122/2_22-42; PS122/2_22-47; PS122/2_22-63; PS122/2_23-46; PS122/2_23-47; PS122/2_23-63; PS122/2_24-2; PS122/2_24-4; PS122/2_25-52; PS122/2_25-54; PS122/2_25-71; PS122/2_25-73; PS122/3; PS122/3_30-53; PS122/3_30-64; PS122/3_31-39; PS122/3_31-59; PS122/3_31-63; PS122/3_40-36; PS122/3_42-32; PS122/4; PS122/4_44-183; PS122/4_44-184; PS122/4_44-187; PS122/4_44-202; PS122/4_44-67; PS122/4_44-76; PS122/4_45-100; PS122/4_45-101; PS122/4_45-106; PS122/4_45-121; PS122/4_45-3; PS122/4_45-31; PS122/4_45-48; PS122/4_45-53; PS122/4_45-72; PS122/4_45-73; PS122/4_45-74; PS122/4_45-75; PS122/4_45-76; PS122/4_45-77; PS122/4_45-78; PS122/4_45-79; PS122/4_45-80; PS122/4_45-81; PS122/4_45-82; PS122/4_45-83; PS122/4_45-84; PS122/4_45-85; PS122/4_45-88; PS122/4_45-9; PS122/4_45-94; PS122/4_45-95; PS122/4_45-96; PS122/4_45-97; PS122/4_45-98; PS122/4_45-99; PS122/4_46-15; PS122/4_46-2; PS122/4_46-35; PS122/4_46-56; PS122/4_46-60; PS122/4_46-83; PS122/4_46-87; PS122/4_46-91; PS122/4_47-108; PS122/4_47-52; PS122/4_47-60; PS122/4_48-121; PS122/4_48-15; PS122/4_48-155; PS122/4_48-159; PS122/4_48-29; PS122/4_48-56; PS122/4_48-60; PS122/4_48-62; PS122/4_48-96; PS122/4_49-10; PS122/4_49-14; PS122/4_49-2; PS122/4_49-25; PS122/4_49-36; PS122/4_49-5; PS122/4_50-21; PS122/4_50-52; PS122/5; PS122/5_59-138; PS122/5_59-149; PS122/5_59-272; PS122/5_59-274; PS122/5_59-277; PS122/5_59-305; PS122/5_59-306; PS122/5_59-357; PS122/5_59-363; PS122/5_59-62; PS122/5_59-72; PS122/5_60-67; PS122/5_60-69; PS122/5_60-89; PS122/5_61-128; PS122/5_61-159; PS122/5_61-161; PS122/5_61-189; PS122/5_61-211; PS122/5_62-38; PS122/5_62-4; PS122/5_62-66; PS122/5_62-88; PS122/5_62-91; PS122/5_63-100; PS122/5_63-110; PS122/5_63-111; PS122/5_63-35; PS122/5_63-53; Salinity; Salinity, absolute; Temperature; Temperature, water, conservative; vertical profiles; WAOW; Why is the deep Arctic Ocean Warming?
    Type: Dataset
    Format: text/tab-separated-values, 26510 data points
    Location Call Number Limitation Availability
    BibTip Others were also interested in ...
  • 7
    Publication Date: 2024-03-08
    Description: This dataset contains hydrographic data collected with a small hand-held conductivity, temperature, depth sensor (CTD, a Sea&Sun CTD48M) – mostly operated from the ice – during Leg 4 and Leg 5 of the Multidisciplinary drifting observatory for the study of Arctic climate (MOSAiC). In total, 24 profiles were obtained, 12 from each leg. The data collected was processed manually. Conductivity readings below 0.5 mS/cm and temperature readings below the surface freezing temperature were removed. A pressure offset was then subtracted to start the profile at 0 dbar. The data was then binned in steps of 0.1 dbar from the surface to 5 dbar, in steps of 0.25 dbar to 20 dbar, and in steps of 0.5 dbar below. Large density inversions were manually removed and linearly interpolated over. Absolute Salinity (SA) and Conservative Temperature (CT) were derived using the TEOS-10 GSW toolbox (McDougall & Barker, 2011). This work was carried out as part of the international Multidisciplinary drifting Observatory for the Study of the Arctic Climate (MOSAiC) with the tag MOSAiC20192020. We thank all persons involved in the expedition of the Research Vessel Polarstern during MOSAiC in 2019-2020 (AWI_PS122_00) as listed in Nixdorf et al. (2021).
    Keywords: Arctic Ocean; Calculated; Calculated according to UNESCO (1983); CTD; CTD, handheld; DATE/TIME; Density, potential; DEPTH, water; Event label; hCTD; LATITUDE; LONGITUDE; MOSAiC; MOSAIC_PO; MOSAiC20192020; MOSAiC expedition; Multidisciplinary drifting Observatory for the Study of Arctic Climate; Multiparameter probe (CTD), Sea & Sun Technology, CTD48; Polarstern; Pressure, water; PS122/4; PS122/4_44-43; PS122/4_46-180; PS122/4_46-186; PS122/4_47-73; PS122/4_48-101; PS122/4_48-102; PS122/4_48-103; PS122/4_48-106; PS122/4_48-197; PS122/4_48-198; PS122/4_49-80; PS122/4_49-81; PS122/5; PS122/5_59-254; PS122/5_59-255; PS122/5_59-277; PS122/5_60-249; PS122/5_60-250; PS122/5_60-251; PS122/5_60-38; PS122/5_60-39; PS122/5_60-86; PS122/5_61-115; PS122/5_61-276; PS122/5_61-277; Quality flag, salinity; Quality flag, water temperature; Salinity; Salinity, absolute; Temperature, water
    Type: Dataset
    Format: text/tab-separated-values, 199216 data points
    Location Call Number Limitation Availability
    BibTip Others were also interested in ...
  • 8
    Publication Date: 2024-03-01
    Description: Hydrographic (CTD) profiles of Temperature, Salinity, Dissolved Oxygen, Chlorophyll A fluorescence and Coloured Dissolved Organic Matter (CDOM) collected in the Arctic Ocean, over the western Eurasian Basin and Lomonosov Ridge, between 2 August and 11 September 2021, from I/B Oden. This is the Swedish contribution to the international Synoptic Arctic Survey. This dataset merges the full-depth physical CTD and the shallow biological CTD profiles. Both systems had the standard SeaBird SBE911 plus system with dual sensors to measure in-situ temperature and conductivity and single sensors measuring pressure and oxygen. The physical CTD also had a CDOM sensor (Turner Cyclops fluorometer), while the Chl-A fluorometer (WET Labs, ECO-AFL/FL) was moved throughout the expedition between the two systems. Salinity, Oxygen, Chl-A fluorescence and CDOM were calibrated against sample data collected and analysed by the co-authors: - Salinity samples from the deep stations were analysed post-cruise using a salinometer (Guildline Autosal) and IAPSO standard seawater at the GEOMAR, Germany. - Dissolved oxygen was determined onboard using an automatic Winkler titration setup with UV detection (Scripps Institute of Oceanography Oxygen Titration System version 2.35m). - Chl-A concentration was determined post-cruise from flow cytometry (FCM) at Linnaeus University, Sweden. The samples consisted of 4 mL cryovials, of which 3.8 mL was sample water and 76 μL 25% EM grade glutaraldehyde solution (Glu stock). The samples incubated at room temperature for 5 minutes before flash freezing in liquid nitrogen and then placing in the -80 °C freezer in cryoboxes. - CDOM was determined post-cruise at the National Institute of Aquatic Resources - DTU Aqua, Denmark, following the method of Lawaetz and Stedmon (2009) This dataset contains the 1-m bin-averaged profiles. For more information about each sensor and their calibration, the reader is invited to check the cruise report (final version submitted on 20 September; shareable version with DOI coming soon)
    Keywords: Arctic; Arctic Ocean; Arctic Research Icebreaker Consortium: A strategy for meeting the needs for marine-based research in the Arctic; ARICE; CDOM; Chl-a; CTD; CTD, Sea-Bird, SBE 911plus; CTD/Rosette; DATE/TIME; Density, mass density; DEPTH, water; Der arktische Ozean 2020 – Ventilationszeitskalen, anthropogener Kohlenstoff und Variabilität in einer sich verändernden Umgebung; DFG_456675218; Event label; Fluorescence, chlorophyll; Fluorescence, colored dissolved organic matter; ITS-90, temperature scale; LATITUDE; LONGITUDE; New insights on ocean circulation and the fate of organic carbon in the Arctic Ocean; NOC; oceanography; Oden; Oxygen; Oxygen, dissolved; Practical Salinity Scale – 1978 (PSU78); Pressure, water; PSU78; Quality flag, absolute salinity; Quality flag, conservative water temperature; Quality flag, density; Quality flag, fluorescence, chlorophyll; Quality flag, fluorescence, colored dissolved organic matter; Quality flag, oxygen; Quality flag, potential water temperature; Quality flag, salinity; Quality flag, water temperature; Salinity; Salinity, absolute; Salinity; Temperature; SAS-Oden_2021; Seadatanet flag: Data quality control procedures according to SeaDataNet (2010); SO21; SO21_01-01; SO21_03-01; SO21_03-02; SO21_05-01; SO21_05-02; SO21_05-03; SO21_07-01; SO21_07-03; SO21_07-04; SO21_07-05; SO21_08-01; SO21_08-02; SO21_08-03; SO21_08-04; SO21_08-06; SO21_08-09; SO21_11-01; SO21_11-02; SO21_13-01; SO21_13-03; SO21_13-04; SO21_13-05; SO21_14-05; SO21_16-01; SO21_16-03; SO21_16-04; SO21_16-05; SO21_16-06; SO21_18-01; SO21_18-03; SO21_18-04; SO21_18-05; SO21_20-01; SO21_20-02; SO21_20-03; SO21_22-03; SO21_22-08; SO21_22-09; SO21_22-10; SO21_22-11; SO21_24-01; SO21_24-02; SO21_24-03; SO21_25-01; SO21_25-02; SO21_26-01; SO21_26-02; SO21_26-03; SO21_26-05; SO21_26-11; SO21_28-01; SO21_28-02; SO21_28-03; SO21_30-01; SO21_30-02; SO21_30-03; SO21_30-11; SO21_30-13; SO21_30-16; SO21_32-01; SO21_32-02; SO21_33-01; SO21_33-02; SO21_33-03; SO21_33-05; SO21_35-08; SO21_35-11; SO21_35-12; SO21_35-13; SO21_35-15; SO21_37-01; SO21_38-08; SO21_38-13; SO21_38-14; SO21_38-15; SO21_38-17; SO21_40-01; SO21_41-01; SO21_42-01; SO21_42-02; SO21_42-06; SO21_42-08; SO21_44-01; SO21_45-01; SO21_46-01; SO21_46-02; SO21_47-01; SO21_48-01; SO21_48-02; SO21_48-04; SO21_50-06; SO21_50-11; SO21_50-13; SO21_50-16; SO21_52-01; SO21_53-05; SO21_53-06; SO21_53-07; SO21_53-08; SO21_53-09; SO21_53-14; SO21_53-15; SO21_56-01; SO21_56-03; SO21_56-05; SO21_56-06; SO21_56-07; SO21_56-08; SO21_58-09; SO21_58-12; SO21_58-15; SO21_58-17; SO21_58-18; Synoptic Arctic Survey; Temperature, water; Temperature, water, conservative; Temperature, water, potential; TEOS-10; Thermodynamic Equation Of Seawater - 2010 (TEOS-10); WAOW; Why is the deep Arctic Ocean Warming?
    Type: Dataset
    Format: text/tab-separated-values, 3139799 data points
    Location Call Number Limitation Availability
    BibTip Others were also interested in ...
  • 9
    Publication Date: 2024-04-20
    Description: During the MOSAiC drift, vertical profiles of turbulence and auxiliary parameters were measured with MSS microstructure profilers manufactured by Sea and Sun Technology, Germany. Here, the raw binary data from one of in total three different probes deployed during the drift is archived, in the instrument-specific .MRD data format. Every profile is stored in one individual binary file.
    Keywords: Arctic Ocean; Binary Object; DATE/TIME; Event label; LATITUDE; LONGITUDE; Microstructure Profiler; MOSAiC; MOSAiC20192020; MSSP; Multidisciplinary drifting Observatory for the Study of Arctic Climate; PEANUTS; Polarstern; Primary productivity driven by escalating Arctic nutrient fluxes?; PS122/2; PS122/2_23-71; PS122/3; PS122/3_30-27; PS122/3_30-39; PS122/3_30-68; PS122/3_30-8; PS122/3_30-90; PS122/3_31-20; PS122/3_31-3; PS122/3_31-50; PS122/3_31-73; PS122/3_31-82; PS122/3_32-10; PS122/3_32-2; PS122/3_32-23; PS122/3_32-43; PS122/3_32-50; PS122/3_32-62; PS122/3_33-26; PS122/3_33-43; PS122/3_33-51; PS122/3_33-96; PS122/3_34-18; PS122/3_34-27; PS122/3_34-3; PS122/3_35-2; PS122/3_35-26; PS122/3_35-41; PS122/3_35-78; PS122/3_35-93; PS122/3_36-114; PS122/3_36-116; PS122/3_36-147; PS122/3_36-20; PS122/3_36-3; PS122/3_36-39; PS122/3_36-62; PS122/3_37-100; PS122/3_37-11; PS122/3_37-117; PS122/3_37-28; PS122/3_37-3; PS122/3_37-69; PS122/3_37-9; PS122/3_38-32; PS122/3_38-53; PS122/3_38-6; PS122/3_38-83; PS122/3_38-99; PS122/3_39-17; PS122/3_39-31; PS122/3_39-50; PS122/3_39-9
    Type: Dataset
    Format: text/tab-separated-values, 272 data points
    Location Call Number Limitation Availability
    BibTip Others were also interested in ...
  • 10
    Publication Date: 2024-04-20
    Description: This Dataset contains Fram Strait volume, heat, and salt transport calculations for one ensemble member of each of 13 climate models participating in the Coupled Model Intercomparison Project phase 6 (CMIP6). The 13 models are BCC-CSM2-MR, CAMS-CSM1-0, CanESM5, CESM2, EC-Earth3, GFDL-CM4, GISS-E2-1-H, IPSL-CM6A-LR, MIROC6, MPI-ESM1-2-HR, MRI-ESM2-0, NorESM2-LM, and UKESM1-0-LL. For each model, transports are provided along a depth vs longitude section at monthly resolution over years 1985-2015 of the CMIP6 historical simulation. All transports are provided on the models' native grids except for GISS-E2-1-H and NorESM2-LM. The data are stored in netcdf format with metadata in each file including the variant label of the ensemble member and model-specific constants used for the transport calculations.
    Keywords: CMIP6; Fram Strait; heat transport; historical; Model output, NetCDF format; Model output, NetCDF format (File Size); Model output, NetCDF format (MD5 Hash); Model output, NetCDF format (Media Type); salt transport; Volume Transport
    Type: Dataset
    Format: text/tab-separated-values, 13 data points
    Location Call Number Limitation Availability
    BibTip Others were also interested in ...
Close ⊗
This website uses cookies and the analysis tool Matomo. More information can be found here...