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  • 1
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    Atlantic Water Heat Transport Variability in the 20th Century Arctic Ocean From a Global Ocean Model and Observations (2018)
    American Geophysical Union
    Details
    Publication Date: 2018-11-01
    Print ISSN: 2169-9275
    Electronic ISSN: 2169-9291
    Topics: Geosciences , Physics
    Published by American Geophysical Union
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    PAPER CURRENT
  • 2
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    Arctic Ocean Response to Greenland Sea Wind Anomalies in a Suite of Model Simulations (2019)
    American Geophysical Union
    Details
    Publication Date: 2019-08-01
    Print ISSN: 2169-9275
    Electronic ISSN: 2169-9291
    Topics: Geosciences , Physics
    Published by American Geophysical Union
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    PAPER CURRENT
  • 3
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    Reduced Deep Convection and Bottom Water Formation Due To Antarctic Meltwater in a Multi‐Model Ensemble (2023)
    AGU (American Geophysical Union) | Wiley
    Details
    Publication Date: 2024-02-07
    Description: The additional water from the Antarctic ice sheet and ice shelves due to climate‐induced melt can impact ocean circulation and global climate. However, the major processes driving melt are not adequately represented in Coupled Model Intercomparison Project phase 6 (CMIP6) models. Here, we analyze a novel multi‐model ensemble of CMIP6 models with consistent meltwater addition to examine the robustness of the modeled response to meltwater, which has not been possible in previous single‐model studies. Antarctic meltwater addition induces a substantial weakening of open‐ocean deep convection. Additionally, Antarctic Bottom Water warms, its volume contracts, and the sea surface cools. However, the magnitude of the reduction varies greatly across models, with differing anomalies correlated with their respective mean‐state climatology, indicating the state‐dependency of the climate response to meltwater. A better representation of the Southern Ocean mean state is necessary for narrowing the inter‐model spread of response to Antarctic meltwater. Plain Language Summary The melting of the Antarctic ice sheet and ice shelves can have significant impacts on ocean circulation and thermal structure, but current climate models do not fully capture these effects. In this study, we analyze seven climate models to understand how they respond to the addition of meltwater from Antarctica. We find that the presence of Antarctic meltwater leads to a significant weakening of deep convection in the open ocean. The meltwater also causes Antarctic Bottom Water to warm and its volume to decrease, while the sea surface cools and sea ice expands. However, the magnitude of the response to meltwater varies across models, suggesting that the mean‐state conditions of the Southern Ocean play a role. A better representation of the mean state and the inclusion of Antarctic meltwater in climate models will help reduce uncertainties and improve our understanding of the impact of Antarctic meltwater on climate. Key Points Antarctic meltwater substantially reduces the strength of simulated Southern Ocean deep convection in climate models The additional meltwater induces Antarctic Bottom Water warming and contraction, with dense water classes converting to lighter ones Differences in the magnitude of these responses between models can be partly attributed to their different base states
    Type: Article , PeerReviewed
    Format: text
    Format: text
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    PAPER (OCEANREP)
  • 4
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    The Southern Ocean Freshwater Input from Antarctica (SOFIA) Initiative: scientific objectives and experimental design (2023)
    Copernicus Publications (EGU)
    Details
    Publication Date: 2024-03-04
    Type: Article , PeerReviewed
    Format: text
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    PAPER (OCEANREP)
  • 5
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    Physical oceanography measurements from a hand-held CTD during Leg 4 and 5 of POLARSTERN cruise PS122 – MOSAiC (2023)
    PANGAEA
    Details
    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
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    Microstructure profiler raw data (MSS_55_IOW) during leg 3 of the MOSAiC expedition in 2020 (2022)
    PANGAEA
    Details
    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
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    Historical (1985-2015) Fram Strait volume, heat, and salt transports in CMIP6 models (2023)
    PANGAEA
    Details
    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
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  • 8
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    Physical oceanography based on Ocean City CTD during POLARSTERN cruise PS122 (2023)
    PANGAEA
    Details
    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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  • 9
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    Turbulent microstructure profile (MSS) measurements from the MOSAiC drift, Arctic Ocean, version 2 (2023)
    PANGAEA
    Details
    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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  • 10
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    Under-ice temperature and salinity measurements at Ice Ridge Observatory during MOSAiC from an RBR Concerto CTD (2022)
    PANGAEA
    Details
    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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