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  • 2020-2022  (4)
  • 2015-2019  (32)
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  • 11
    Publication Date: 2021-08-10
    Repository Name: EPIC Alfred Wegener Institut
    Type: Article , notRev
    Location Call Number Limitation Availability
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  • 12
    Publication Date: 2021-07-01
    Repository Name: EPIC Alfred Wegener Institut
    Type: Article , peerRev
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  • 13
    Publication Date: 2022-05-25
    Description: © The Author(s), 2018. This article is distributed under the terms of the Creative Commons Attribution License. The definitive version was published in Chemical Geology 493 (2018): 210-223, doi:10.1016/j.chemgeo.2018.05.040.
    Description: The GEOTRACES Intermediate Data Product 2017 (IDP2017) is the second publicly available data product of the international GEOTRACES programme, and contains data measured and quality controlled before the end of 2016. The IDP2017 includes data from the Atlantic, Pacific, Arctic, Southern and Indian oceans, with about twice the data volume of the previous IDP2014. For the first time, the IDP2017 contains data for a large suite of biogeochemical parameters as well as aerosol and rain data characterising atmospheric trace element and isotope (TEI) sources. The TEI data in the IDP2017 are quality controlled by careful assessment of intercalibration results and multi-laboratory data comparisons at crossover stations. The IDP2017 consists of two parts: (1) a compilation of digital data for more than 450 TEIs as well as standard hydrographic parameters, and (2) the eGEOTRACES Electronic Atlas providing an on-line atlas that includes more than 590 section plots and 130 animated 3D scenes. The digital data are provided in several formats, including ASCII, Excel spreadsheet, netCDF, and Ocean Data View collection. Users can download the full data packages or make their own custom selections with a new on-line data extraction service. In addition to the actual data values, the IDP2017 also contains data quality flags and 1-σ data error values where available. Quality flags and error values are useful for data filtering and for statistical analysis. Metadata about data originators, analytical methods and original publications related to the data are linked in an easily accessible way. The eGEOTRACES Electronic Atlas is the visual representation of the IDP2017 as section plots and rotating 3D scenes. The basin-wide 3D scenes combine data from many cruises and provide quick overviews of large-scale tracer distributions. These 3D scenes provide geographical and bathymetric context that is crucial for the interpretation and assessment of tracer plumes near ocean margins or along ridges. The IDP2017 is the result of a truly international effort involving 326 researchers from 25 countries. This publication provides the critical reference for unpublished data, as well as for studies that make use of a large cross-section of data from the IDP2017. This article is part of a special issue entitled: Conway GEOTRACES - edited by Tim M. Conway, Tristan Horner, Yves Plancherel, and Aridane G. González.
    Description: We gratefully acknowledge financial support by the Scientific Committee on Oceanic Research (SCOR) through grants from the U.S. National Science Foundation, including grants OCE-0608600, OCE-0938349, OCE-1243377, and OCE-1546580. Financial support was also provided by the UK Natural Environment Research Council (NERC), the Ministry of Earth Science of India, the Centre National de Recherche Scientifique, l'Université Paul Sabatier de Toulouse, the Observatoire Midi-Pyrénées Toulouse, the Universitat Autònoma de Barcelona, the Kiel Excellence Cluster The Future Ocean, the Swedish Museum of Natural History, The University of Tokyo, The University of British Columbia, The Royal Netherlands Institute for Sea Research, the GEOMAR-Helmholtz Centre for Ocean Research Kiel, and the Alfred Wegener Institute.
    Keywords: GEOTRACES ; Trace elements ; Isotopes ; Electronic atlas ; IDP2017
    Repository Name: Woods Hole Open Access Server
    Type: Article
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  • 14
    Publication Date: 2019-09-30
    Description: The Global Ocean Data Analysis Project (GLODAP) is a synthesis effort providing regular compilations of surface to bottom ocean biogeochemical data, with an emphasis on seawater inorganic carbon chemistry and related variables determined through chemical analysis of water samples. This update of GLODAPv2, v2.2019, adds data from 116 cruises to the previous version, extending its coverage in time from 2013 to 2017, while also adding some data from prior years. GLODAPv2.2019 includes measurements from more than 1.1 million water samples from the global oceans collected on 840 cruises. The data for the 12 GLODAP core variables (salinity, oxygen, nitrate, silicate, phosphate, dissolved inorganic carbon, total alkalinity, pH, CFC-11, CFC-12, CFC-113, and CCl4) have undergone extensive quality control, especially systematic evaluation of bias. The data are available in two formats: (i) as submitted by the data originator but updated to WOCE exchange format and (ii) as a merged data product with adjustments applied to minimize bias. These adjustments were derived by comparing the data from the 116 new cruises with the data from the 724 quality-controlled cruises of the GLODAPv2 data product. They correct for errors related to measurement, calibration, and data handling practices, taking into account any known or likely time trends or variations. The compiled and adjusted data product is believed to be consistent to better than 0.005 in salinity, 1 % in oxygen, 2 % in nitrate, 2 % in silicate, 2 % in phosphate, 4 µmol kg−1 in dissolved inorganic carbon, 4 µmol kg−1 in total alkalinity, 0.01–0.02 in pH, and 5 % in the halogenated transient tracers. The compilation also includes data for several other variables, such as isotopic tracers. These were not subjected to bias comparison or adjustments. The original data, their documentation and DOI codes are available in the Ocean Carbon Data System of NOAA NCEI (https://www.nodc.noaa.gov/ocads/oceans/GLODAPv2_2019/, last access: 17 September 2019). This site also provides access to the merged data product, which is provided as a single global file and as four regional ones – the Arctic, Atlantic, Indian, and Pacific oceans – under https://doi.org/10.25921/xnme-wr20 (Olsen et al., 2019). The product files also include significant ancillary and approximated data. These were obtained by interpolation of, or calculation from, measured data. This paper documents the GLODAPv2.2019 methods and provides a broad overview of the secondary quality control procedures and results.
    Repository Name: EPIC Alfred Wegener Institut
    Type: Article , isiRev
    Format: application/pdf
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  • 15
    Publication Date: 2021-12-21
    Repository Name: EPIC Alfred Wegener Institut
    Type: Article , isiRev , info:eu-repo/semantics/article
    Format: application/pdf
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  • 16
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    PANGAEA
    In:  Supplement to: Stendardo, Ilaria; Kieke, Dagmar; Rhein, Monika; Gruber, Nicolas; Steinfeldt, Reiner (2015): Interannual to decadal oxygen variability in the mid-depth water masses of the eastern North Atlantic. Deep Sea Research Part I: Oceanographic Research Papers, 95, 85-98, https://doi.org/10.1016/j.dsr.2014.10.009
    Publication Date: 2023-01-13
    Description: The detection of multi-decadal trends in the oceanic oxygen content and its possible attribution to global warming is protracted by the presence of a substantial amount of interannual to decadal variability, which hitherto is poorly known and characterized. Here we address this gap by studying interannual to decadal changes of the oxygen concentration in the Subpolar Mode Water (SPMW), the Intermediate Water (IW) and the Mediterranean Outflow Water (MOW) in the eastern North Atlantic. We use data from a hydrographic section located in the eastern North Atlantic at about 48°N repeated 12 times over a period of 19 years from 1993 through 2011, with a nearly annual resolution up to 2005. Despite a substantial amount of year-to-year variability, we observe a long-term decrease in the oxygen concentration of all three water masses, with the largest changes occurring from 1993 to 2002. During that time period, the trends were mainly caused by a contraction of the subpolar gyre associated with a northwestward shift of the Subpolar Front (SPF) in the eastern North Atlantic. This caused SPMW to be ventilated at lighter densities and its original density range being invaded by subtropical waters with substantially lower oxygen concentrations. The contraction of the subpolar gyre reduced also the penetration of IW of subpolar origin into the region in favor of an increased northward transport of IW of subtropical origin, which is also lower in oxygen. The long-term oxygen changes in the MOW were mainly affected by the interplay between circulation and solubility changes. Besides the long-term signals, mesoscale variability leaves a substantial imprint as well, affecting the water column over at least the upper 1000 m and laterally by more than 400 km. Mesoscale eddies induced changes in the oxygen concentration of a magnitude that can substantially alias analyses of long-term changes based on repeat hydrographic data that are being collected at intervals of typically 10 years.
    Type: Dataset
    Format: application/zip, 2 datasets
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  • 17
    Publication Date: 2023-11-27
    Description: Gridded time series of observed oxygen concentrations along 47°N for the Labrador Sea Water layer only (between sigma-theta=27.68kg/m³ and sigma-theta=27.8 kg/m³) versus longitude. The stations are located along 47°N (±0.5°) and between 43.18°W-32°W.
    Keywords: Age; DATE/TIME; LATITUDE; LONGITUDE; Newfoundland_Basin_47degN; OCE; Oceanography; Oxygen; RACE; Regional Atlantic Circulation and global Change; South Atlantic Ocean
    Type: Dataset
    Format: text/tab-separated-values, 6384 data points
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  • 18
    Publication Date: 2023-11-27
    Description: Gridded time series of observed oxygen concentrations from 1993 to 2016 in the central Labrador Sea (50°W-53°W, 55°N-59°N) versus depth.
    Keywords: Age; DATE/TIME; DEPTH, water; Labrador_Sea_central; Labrador Sea; OCE; Oceanography; Oxygen; RACE; Regional Atlantic Circulation and global Change
    Type: Dataset
    Format: text/tab-separated-values, 50702 data points
    Location Call Number Limitation Availability
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  • 19
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    PANGAEA
    In:  Supplement to: Rhein, Monika; Kieke, Dagmar; Steinfeldt, Reiner (2007): Ventilation of the Upper Labrador Sea Water, 2003–2005. Geophysical Research Letters, 34(6), L06603, https://doi.org/10.1029/2006GL028540
    Publication Date: 2024-02-27
    Description: In 2003 and in 2005, hydrographic data provided sufficient spatial coverage in the Labrador Sea to infer basin wide changes in the water mass characteristic of the Upper Labrador Sea Water (ULSW). The ULSW was considerably saltier and warmer in 2005 than in 2003. Although convection in the Labrador Sea leads to mixing with salinity-poor surface water and is opposed to the observed salinity trend, the increased vertical homogeneity of the CTD profiles, the increase in the ULSW thickness and the intensification of the potential vorticity minimum for the isopycnals sigma-theta = 27.700-27.734 kg/m**3 in 2005 point to convection in winter 2005 which ventilated at least about 20% of the Labrador Sea region.
    Keywords: Calculated; Celtic Sea; CTD, SEA-BIRD SBE 43; CTD, Sea-Bird SBE 911plus; CTD/Rosette; CTD-RO; Date/Time of event; Davis Strait; Density, sigma-theta (0); DEPTH, water; Elevation of event; Event label; Labrador Sea; Latitude of event; Longitude of event; Oxygen; Pressure, water; Salinity; South Atlantic Ocean; SUBPOLAR; SUBPOLAR_001; SUBPOLAR_002; SUBPOLAR_003; SUBPOLAR_004; SUBPOLAR_005; SUBPOLAR_006; SUBPOLAR_007; SUBPOLAR_008; SUBPOLAR_009; SUBPOLAR_010; SUBPOLAR_011; SUBPOLAR_012; SUBPOLAR_013; SUBPOLAR_014; SUBPOLAR_015; SUBPOLAR_016; SUBPOLAR_017; SUBPOLAR_018; SUBPOLAR_019; SUBPOLAR_020; SUBPOLAR_021; SUBPOLAR_022; SUBPOLAR_023; SUBPOLAR_024; SUBPOLAR_025; SUBPOLAR_026; SUBPOLAR_027; SUBPOLAR_028; SUBPOLAR_029; SUBPOLAR_030; SUBPOLAR_031; SUBPOLAR_032; SUBPOLAR_033; SUBPOLAR_034; SUBPOLAR_035; SUBPOLAR_036; SUBPOLAR_037; SUBPOLAR_038; SUBPOLAR_039; SUBPOLAR_040; SUBPOLAR_041; SUBPOLAR_042; SUBPOLAR_043; SUBPOLAR_044; SUBPOLAR_045; SUBPOLAR_046; SUBPOLAR_047; SUBPOLAR_048; SUBPOLAR_049; SUBPOLAR_050; SUBPOLAR_051; SUBPOLAR_052; SUBPOLAR_053; SUBPOLAR_054; SUBPOLAR_055; SUBPOLAR_056; SUBPOLAR_057; SUBPOLAR_058; SUBPOLAR_059; SUBPOLAR_060; SUBPOLAR_061; SUBPOLAR_062; SUBPOLAR_063; SUBPOLAR_064; SUBPOLAR_065; SUBPOLAR_066; SUBPOLAR_067; SUBPOLAR_068; SUBPOLAR_069; SUBPOLAR_070; SUBPOLAR_071; SUBPOLAR_072; SUBPOLAR_073; SUBPOLAR_074; SUBPOLAR_075; SUBPOLAR_076; SUBPOLAR_077; SUBPOLAR_078; SUBPOLAR_079; SUBPOLAR_080; SUBPOLAR_081; SUBPOLAR_082; SUBPOLAR_083; SUBPOLAR_084; SUBPOLAR_085; SUBPOLAR_086; SUBPOLAR_087; SUBPOLAR_088; SUBPOLAR_089; SUBPOLAR_090; SUBPOLAR_091; SUBPOLAR_092; SUBPOLAR_093; SUBPOLAR_094; SUBPOLAR_095; SUBPOLAR_096; SUBPOLAR_097; SUBPOLAR_098; SUBPOLAR_099; SUBPOLAR_100; SUBPOLAR_101; SUBPOLAR_102; SUBPOLAR_103; SUBPOLAR_104; SUBPOLAR_105; SUBPOLAR_106; SUBPOLAR_107; SUBPOLAR_108; SUBPOLAR_109; SUBPOLAR_110; SUBPOLAR_111; SUBPOLAR_112; SUBPOLAR_113; SUBPOLAR_114; SUBPOLAR_115; SUBPOLAR_116; SUBPOLAR_117; SUBPOLAR_118; SUBPOLAR_119; SUBPOLAR_120; SUBPOLAR_121; SUBPOLAR_122; SUBPOLAR_123; SUBPOLAR_124; SUBPOLAR_125; SUBPOLAR_126; SUBPOLAR_127; SUBPOLAR_128; SUBPOLAR_129; SUBPOLAR_130; SUBPOLAR_131; SUBPOLAR_132; SUBPOLAR_133; SUBPOLAR_134; SUBPOLAR_135; SUBPOLAR_136; SUBPOLAR_137; SUBPOLAR_138; Temperature, water; Temperature, water, potential; Thalassa
    Type: Dataset
    Format: text/tab-separated-values, 2805600 data points
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  • 20
    Publication Date: 2024-02-27
    Keywords: 513; 514; 515; 516; 517; 518; 519; 523; 524; 525; 526; 527; 528; 529; 530; 532; 533; 535; 545; 547; 548; 550; 551; 556; 560; 566; 571; 575; 579; 584; 587; 589; 591; 592; 601; 603; 604; 609; 610; 611; 612; 613; 617; 619; 620; 622; 623; 625; 626; 627; 628; 629; 631; 632; 633; 634; 636; 637; 638; 639; 640; 643; 646; 649; 652; 655; 658; 662; 665; 668; 671; 673; 674; 675; 676; Calculated; CTD, SEA-BIRD SBE 43; CTD, Sea-Bird SBE 911plus; Date/Time of event; Density, sigma-theta (0); DEPTH, water; Elevation of event; Event label; Latitude of event; Longitude of event; M82/2; M82/2_513-1; M82/2_514-1; M82/2_515-1; M82/2_516-1; M82/2_517-1; M82/2_518-1; M82/2_519-1; M82/2_523-1; M82/2_524-1; M82/2_525-1; M82/2_526-1; M82/2_527-1; M82/2_528-1; M82/2_529-1; M82/2_530-1; M82/2_532-1; M82/2_533-1; M82/2_535-1; M82/2_545-1; M82/2_547-1; M82/2_548-1; M82/2_550-1; M82/2_551-1; M82/2_556-1; M82/2_560-1; M82/2_566-1; M82/2_571-1; M82/2_575-1; M82/2_579-1; M82/2_584-1; M82/2_587-1; M82/2_589-1; M82/2_591-1; M82/2_592-1; M82/2_601-1; M82/2_603-1; M82/2_604-1; M82/2_609-1; M82/2_610-1; M82/2_611-1; M82/2_612-1; M82/2_613-1; M82/2_617-1; M82/2_619-1; M82/2_620-1; M82/2_622-1; M82/2_623-1; M82/2_625-1; M82/2_626-1; M82/2_627-1; M82/2_628-1; M82/2_629-1; M82/2_631-1; M82/2_632-1; M82/2_633-1; M82/2_634-1; M82/2_636-1; M82/2_637-1; M82/2_638-1; M82/2_639-1; M82/2_640-1; M82/2_643-1; M82/2_646-1; M82/2_649-1; M82/2_652-1; M82/2_655-1; M82/2_658-1; M82/2_662-1; M82/2_665-1; M82/2_668-1; M82/2_671-1; M82/2_673-1; M82/2_674-1; M82/2_675-1; M82/2_676-1; Meteor (1986); MULT; Multiple investigations; Northeast Atlantic; Oxygen; Pressure, water; Salinity; Temperature, water; Temperature, water, potential
    Type: Dataset
    Format: text/tab-separated-values, 1565304 data points
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