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  • 1
    Publication Date: 2016-11-30
    Electronic ISSN: 1424-8220
    Topics: Chemistry and Pharmacology , Electrical Engineering, Measurement and Control Technology
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  • 2
  • 3
    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
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  • 4
    Publication Date: 2024-04-23
    Repository Name: EPIC Alfred Wegener Institut
    Type: Article , peerRev
    Format: application/pdf
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  • 5
    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
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  • 6
    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
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  • 7
    Publication Date: 2024-04-20
    Description: This data set contains the hydrographic profile data collected with a CTD rosette in a shelter on the ice (Ocean City) during the Multidisciplinary drifting Observatory for the Study of Arctic Climate (MOSAiC). The CTD is an SBE911plus with 12 bottles, 5 liters each, operated with a small winch and crane in the shelter on the ice. The data set contains calibrated and quality-controlled parameters (temperature, conductivity, oxygen and their derived variables) as well as only pre-cruise calibrated parameters where no post-cruise calibration or quality control was applied (all other). CDOM fluorescence data are the exception. Quality control was performed but data have to be handled with care, as the sensor seems to have broken down during leg 3 such that no post-cruise calibration could be applied. The data are provided as text file (all cruise legs in one file) as well as in netCDF format (one file per cruise leg). The accuracy for salinity and conductivity is 0.004 while the accuracy for temperature is 0.002. Additional information on the sensor used for the final data set, the water depth as well as the availability of profile or bottle data is given in a separate info-text-file. Contact: Sandra.Tippenhauer@awi.de Quality flags are given based on paragraph 6. "Quality flags" from https://www.seadatanet.org/content/download/596/file/SeaDataNet_QC_procedures_V2_%28May_2010%29.pdf. QC flag meanings: 0 = unknown, 1 = good_data, 2 = probably good_data, 3 = probably bad data, 4 = bad data set to nan. This work was carried out and data 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: Advective Pathways of nutrients and key Ecological substances in the ARctic; APEAR; Arctic Ocean; Attenuation, optical beam transmission; AWI_PhyOce; Chlorophyll a; Conductivity; CTD; CTD, Seabird; CTD, Sea-Bird, SBE 911plus; CTD, Sea-Bird, SBE 911plus, measured with Temperature sensor, Sea-Bird, SBE3plus; CTD, Sea-Bird, SBE 911plus; Calculation according to Bittig et al. (2018); CTD, Sea-Bird, SBE 911plus; Calculation according to McDougall and Barker (2011); CTD, Sea-Bird, SBE 911plus; measured with Conductivity sensor, Sea-Bird, SBE 4; CTD, Sea-Bird, SBE 911plus; measured with Dissolved oxygen sensor, Sea-Bird, SBE 43; CTD, Sea-Bird, SBE 911plus; measured with Fluorometer, Turner Designs, Cyclops-6k 2160-000-R; CTD, Sea-Bird, SBE 911plus; measured with Fluorometer, WET Labs, ECO FLRTD; CTD, Sea-Bird, SBE 911plus; measured with PAR sensor, Biospherical Instruments Inc., QCP2300-HP; CTD, Sea-Bird, SBE 911plus; measured with SPAR Sensor, Biospherical Instruments Inc., QCR2200; CTD, Sea-Bird, SBE 911plus; measured with Transmissometer, WET Labs, C-Star; CTD/Rosette; CTD-R; CTD-RO; DATE/TIME; Density, potential anomaly; DEPTH, water; Event label; Fluorescence, colored dissolved organic matter; HAVOC; LATITUDE; LONGITUDE; MOSAiC; MOSAIC_PO; MOSAiC20192020; MOSAiC expedition; Multidisciplinary drifting Observatory for the Study of Arctic Climate; Oxygen; Oxygen, dissolved; Oxygen saturation; Physical Oceanography @ AWI; Polarstern; Pressure, water; PS122/1; PS122/1_10-129; PS122/1_10-14; PS122/1_10-26; PS122/1_10-33; PS122/1_10-45; PS122/1_11-17; PS122/1_11-24; PS122/1_11-40; PS122/1_4-37; PS122/1_5-40; PS122/1_5-46; PS122/1_5-59; PS122/1_5-8; PS122/1_6-122; PS122/1_6-17; PS122/1_6-18; PS122/1_6-38; PS122/1_7-15; PS122/1_7-40; PS122/1_7-41; PS122/1_7-96; PS122/1_8-16; PS122/1_8-18; PS122/1_9-113; PS122/1_9-28; PS122/1_9-36; PS122/1_9-37; PS122/1_9-46; PS122/1_9-47; PS122/1_9-48; PS122/1_99-78; PS122/1_99-79; PS122/1_99-81; PS122/1_99-82; PS122/2; PS122/2_16-54; PS122/2_16-64; PS122/2_16-94; PS122/2_17-18; PS122/2_17-78; PS122/2_17-8; PS122/2_18-16; PS122/2_18-25; PS122/2_18-81; PS122/2_18-91; PS122/2_19-123; PS122/2_19-18; PS122/2_19-4; PS122/2_19-42; PS122/2_19-89; PS122/2_20-109; PS122/2_20-17; PS122/2_20-2; PS122/2_20-33; PS122/2_21-1; PS122/2_21-101; PS122/2_21-114; PS122/2_21-128; PS122/2_21-26; PS122/2_22-18; PS122/2_22-3; PS122/2_22-49; PS122/2_22-71; PS122/2_23-17; PS122/2_23-4; PS122/2_23-70; PS122/2_24-47; PS122/2_25-26; PS122/2_25-4; PS122/2_99-83; PS122/2_99-84; PS122/2_99-85; PS122/3; PS122/3_29-74; PS122/3_29-8; PS122/3_30-38; PS122/3_30-9; PS122/3_31-18; PS122/3_31-81; PS122/3_32-12; PS122/3_32-75; PS122/3_32-77; PS122/3_33-69; PS122/3_33-71; PS122/3_33-80; PS122/3_33-82; PS122/3_34-17; PS122/3_34-38; PS122/3_34-65; PS122/3_34-67; PS122/3_34-76; PS122/3_34-77; PS122/3_35-25; PS122/3_35-60; PS122/3_35-62; PS122/3_35-63; PS122/3_35-77; PS122/3_35-92; PS122/3_36-115; PS122/3_36-17; PS122/3_36-19; PS122/3_36-59; PS122/3_36-81; PS122/3_36-83; PS122/3_36-85; PS122/3_37-116; PS122/3_37-14; PS122/3_37-15; PS122/3_37-45; PS122/3_37-46; PS122/3_37-88; PS122/3_38-100; PS122/3_38-31; PS122/3_38-5; PS122/3_38-54; PS122/3_38-55; PS122/3_38-69; PS122/3_39-16; PS122/3_39-51; PS122/3_39-52; PS122/3_39-54; PS122/3_39-69; PS122/3_39-70; PS122/3_39-82; PS122/3_99-87; Quality flag, attenuation; Quality flag, chlorophyll; Quality flag, conductivity; Quality flag, conservative water temperature; Quality flag, density; Quality flag, fluorescence, colored dissolved organic matter; Quality flag, irradiance; Quality flag, oxygen; Quality flag, rhodamine; Quality flag, salinity; Quality flag, surface irradiance; Quality flag, water temperature; Radiation, photosynthetically active; Radiation, photosynthetically active, surface; Rhodamine; Ridges - Safe HAVens for ice-associated Flora and Fauna in a Seasonally ice-covered Arctic OCean; Salinity; Salinity, absolute; Seadatanet flag: Data quality control procedures according to SeaDataNet (2010); Temperature, water; Temperature, water, conservative; Temperature, water, potential; WAOW; Why is the deep Arctic Ocean Warming?
    Type: Dataset
    Format: text/tab-separated-values, 1345775 data points
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  • 8
    Publication Date: 2024-04-20
    Description: During the year-long drift expedition MOSAiC (Multidisciplinary drifting Observatory for the Study of Arctic Climate) from September 2019 to September 2020, we obtained an unprecedented data set of vertical turbulent dissipation rate profiles and high resolved hydrodynamic properties, including oxygen concentration and fluorescence, also covering the winter season. Nearly 1,700 individual profiles, covering the upper ocean down to approximately 400~m, were collected on a near-daily base and complemented with several periods of intensified continuous sampling. Version 2: To ensure the quality of the dataset, we compared the MSS data to the Polarstern and Ocean City CTD data, which provide the only in-situ calibrated measurements of salinity. As casts of two different instruments were rarely co-located, this comparison was done statistically, i.e., by comparing as many as possible pairs of casts closest in time. Most data channels are found to agree well, with the exception of the casts performed with the profiler MSS055, which was mostly used during leg 3 and was equipped with a substitute conductivity sensor. For this probe, a calibration cast was performed with the MSS attached to the Ocean City CTD on February 2, 2020, which showed a constant offset in conductivity of 0.11 mS/cm. After reprocessing the affected data with this offset correction, values were in good agreement with the CTD data. In addition, we calibrated the dissolved oxygen readings from MSS091 (used during legs 4 and 5) with the CTD data.
    Keywords: Arctic Ocean; microstructure; Microstructure Profiler; MOSAiC; MOSAIC_PO; MOSAiC20192020; MOSAiC expedition; MSS; MSSP; Multidisciplinary drifting Observatory for the Study of Arctic Climate; PEANUTS; Polarstern; Primary productivity driven by escalating Arctic nutrient fluxes?; PS122/1; PS122/1_10-124; PS122/1_10-125; PS122/1_10-126; PS122/1_10-128; PS122/1_11-20; PS122/1_11-3; PS122/1_11-35; PS122/1_11-41; PS122/1_9-104; PS122/1_9-115; PS122/1_9-33; PS122/2; PS122/2_16-28; PS122/2_16-39; PS122/2_16-47; PS122/2_16-55; PS122/2_17-19; PS122/2_17-33; PS122/2_17-70; PS122/2_17-88; PS122/2_17-9; PS122/2_18-35; PS122/2_18-59; PS122/2_18-6; PS122/2_18-82; PS122/2_19-21; PS122/2_19-32; PS122/2_19-5; PS122/2_19-57; PS122/2_19-83; PS122/2_19-93; PS122/2_20-110; PS122/2_20-18; PS122/2_20-27; PS122/2_20-49; PS122/2_20-7; PS122/2_20-74; PS122/2_21-103; PS122/2_21-143; PS122/2_21-19; PS122/2_21-45; PS122/2_21-68; PS122/2_22-19; PS122/2_22-28; PS122/2_22-4; PS122/2_22-50; PS122/2_22-72; PS122/2_22-85; PS122/2_22-96; PS122/2_23-36; PS122/2_23-48; PS122/2_23-5; PS122/2_23-71; PS122/2_23-72; PS122/2_23-98; PS122/2_24-10; PS122/2_24-22; PS122/2_24-36; PS122/2_24-42; PS122/2_24-57; PS122/2_24-75; PS122/2_24-85; PS122/2_25-100; PS122/2_25-36; PS122/2_25-42; PS122/2_25-55; PS122/2_25-6; PS122/2_25-77; PS122/2_25-87; PS122/2_25-90; PS122/3; PS122/3_29-1; PS122/3_29-20; PS122/3_29-42; PS122/3_29-5; PS122/3_29-53; PS122/3_29-55; PS122/3_29-76; PS122/3_29-85; 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; PS122/4; PS122/4_44-244; PS122/4_44-245; PS122/4_45-142; PS122/4_45-143; PS122/4_45-144; PS122/4_45-145; PS122/4_45-146; PS122/4_45-147; PS122/4_45-157; PS122/4_46-57; PS122/4_46-58; PS122/4_46-59; PS122/4_46-98; PS122/4_46-99; PS122/4_47-130; PS122/4_47-131; PS122/4_47-132; PS122/4_47-133; PS122/4_47-134; PS122/4_47-38; PS122/4_47-39; PS122/4_48-214; PS122/4_48-215; PS122/4_48-3; PS122/4_48-97; PS122/4_48-98; PS122/4_49-85; PS122/4_49-86; PS122/4_49-91; PS122/4_49-92; PS122/5; PS122/5_59-201; PS122/5_59-282; PS122/5_59-299; PS122/5_59-383; PS122/5_59-384; PS122/5_60-246; PS122/5_60-247; PS122/5_60-248; PS122/5_60-40; PS122/5_60-41; PS122/5_60-87; PS122/5_60-88; PS122/5_61-112; PS122/5_61-113; PS122/5_61-182; PS122/5_61-183; PS122/5_61-247; PS122/5_61-248; PS122/5_62-159; PS122/5_62-160; PS122/5_62-161; PS122/5_63-36; turbulence
    Type: Dataset
    Format: application/x-hdf, 232 MBytes
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  • 9
    Publication Date: 2024-04-20
    Description: Two RBR Concerto Conductivity Temperature Depth (CTD) sensors (SN 60611 & SN 60610) were deployed as part of the Sea Ice Ridge Observatory, also called Fort Ridge, in the Arctic Ocean during the 2nd leg of the MOSAiC ice drift expedition in February 2020. The CTDs are autonomous instruments that measured conductivity (salinity), temperature, and pressure (depth) approximately 2-3 m below the sea ice on either side of a large ice ridge. The RBR 60610 was lost due to ice rafting before data was downloaded. The RBR 60611 was recovered in May 2020, resulting in one time series between January 3rd and May 6th2020. RBR 60611 was redeployed on May 6th but also lost due to ice rafting shortly after. Each CTD was deployed together with a Nortek Signature1000 acoustic Doppler current profiler (doi:10.1594/PANGAEA.941882), installed at a 2 m distance. Here we describe the instrument hardware, setup, and processing that resulted in the final data set. The instruments were deployed as part of the project Ridges - Safe HAVens for ice-associated Flora and Fauna in a Seasonally ice-covered Arctic OCean (HAVOC), funded by the Research Council of Norway, project number: 280292.
    Keywords: Arctic; Arctic Ocean; CTD, RBR, RBRConcerto C.T.D.; CTD data; HAVOC; Mosaic; MOSAiC; MOSAIC_PO; MOSAiC20192020; Multidisciplinary drifting Observatory for the Study of Arctic Climate; Polarstern; PS122/2; PS122/2_14-310; PS122/3; PS122/3_28-144; RBR_CTD; ridge flank; Ridges - Safe HAVens for ice-associated Flora and Fauna in a Seasonally ice-covered Arctic OCean; Sea ice
    Type: Dataset
    Format: application/x-netcdf, 60 MBytes
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  • 10
    Publication Date: 2024-04-20
    Description: Two Nortek Signature1000 acoustic Doppler current profilers (SN 100098 & SN 101048) were deployed as part of the Sea Ice Ridge Observatory (also called Fort Ridge) in the Arctic Ocean during the 2nd leg of the MOSAiC ice drift expedition in February 2020. The ADCPs are autonomous instruments that measured ice-relative horizontal and vertical ocean currents and turbulence in the upper ~20 m of the water column. The instruments were deployed under the ice, pointing downward on either side of a large ice ridge. In addition to currents, temperature, pressure, tilt, and compass direction were measured. Both instruments were eventually lost due to ice rafting, resulting in one time series between January 3rd and May 6th 2020 and one between January 3rd and February 21st, 2020. This dataset contains the rawdata for adcp_101408. Nortek Signature software (Nortek Discover) is needed to read and convert the data (https://www.nortekgroup.com/software). For more information see the Nortek Signature Principles of Operation (https://www.nortekgroup.com/assets/software/N3015-011-SignaturePrinciples.pdf). A processed and temporally averaged version of this dataset together with a data report can be found under doi:10.1594/PANGAEA.941882.
    Keywords: ADCP data; Arctic; Arctic Ocean; BUOY_ADCP; Buoy, acoustic doppler current profiler; currents; HAVOC; Mosaic; MOSAiC; MOSAiC20192020; Multidisciplinary drifting Observatory for the Study of Arctic Climate; Polarstern; PS122/2; PS122/2_14-307; ridge flank; Ridges - Safe HAVens for ice-associated Flora and Fauna in a Seasonally ice-covered Arctic OCean; Sea ice; Turbulence
    Type: Dataset
    Format: application/x-tar, 7.3 GBytes
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