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
  • 2020-2022
  • 2015-2019  (22)
  • 2019  (7)
  • 2015  (15)
Document type
Keywords
Years
  • 2020-2022
  • 2015-2019  (22)
Year
  • 1
    facet.materialart.
    Unknown
    In:  [Poster] In: SOPRAN Annual Meeting 2015, 17.-18.03.2015, Mainz, Germany .
    Publication Date: 2015-04-23
    Description: In the framework of SOPRAN, two of the main gloabal Eastern Boundary Current Upwelling Systems (EBUS) have been investigated, off the coasts of Mauritania in the northern Atlantic and of Peru in the southern Pacific. The upwelling in the EBUS is driven by alongshore winds causing an offshore transport of surface waters. The upwelled water typically exhibits high concentrations of climate relevant gases such as CO2, N2O and halogenated compounds. The oceanic upwelling velocities, however, are too small (in the order of 10-5 m/s) to be measured directly. Here we use oceanic measurements of the helium-3/helium-4 isotopic ratio as an indirect means to infer these velocities. The water that upwells into the oceanic mixed layer from below is typically enriched in the lighter isotope helium-3. This excess of helium-3 originates from venting of primordial helium through hydrothermal activity. Helium data have been collected on four cruises within the coastal upwelling regions off Mauritania and Peru. Near the coast, the helium derived upwelling velocities are in good agreement with the wind driven flow calculated from Ekman theory. At some locations in the open ocean, however, the helium method results in much higher vertical velocities compared to the wind derived Ekman divergence. This enhanced upwelling might be attributed to eddy activity. Both advective and turbulent (derived from microstructure measurements) fluxes of nutrients into the mixed layer are determined. In coastal upwelling regions, these fluxes play a key role in fostering ocean primary productivity.
    Type: Conference or Workshop Item , NonPeerReviewed
    Location Call Number Limitation Availability
    BibTip Others were also interested in ...
  • 2
    facet.materialart.
    Unknown
    In:  [Poster] In: SOLAS Open Science Conference, 07.-11.09.2015, Kiel, Germany .
    Publication Date: 2015-09-21
    Type: Conference or Workshop Item , NonPeerReviewed
    Format: text
    Location Call Number Limitation Availability
    BibTip Others were also interested in ...
  • 3
    Publication Date: 2022-01-31
    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.
    Type: Article , PeerReviewed , info:eu-repo/semantics/article
    Format: text
    Format: other
    Location Call Number Limitation Availability
    BibTip Others were also interested in ...
  • 4
    facet.materialart.
    Unknown
    In:  [Talk] In: DFG Frühjahrstagung, 23.-27.03.2015, Heidelberg, Germany .
    Publication Date: 2015-04-23
    Type: Conference or Workshop Item , NonPeerReviewed
    Format: text
    Location Call Number Limitation Availability
    BibTip Others were also interested in ...
  • 5
    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
    Location Call Number Limitation Availability
    BibTip Others were also interested in ...
  • 6
    facet.materialart.
    Unknown
    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
    Location Call Number Limitation Availability
    BibTip Others were also interested in ...
  • 7
    facet.materialart.
    Unknown
    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
    Location Call Number Limitation Availability
    BibTip Others were also interested in ...
  • 8
    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
    Location Call Number Limitation Availability
    BibTip Others were also interested in ...
  • 9
    Publication Date: 2024-02-02
    Keywords: 481-1; 482-1; 483-1; 484-1; 485-1; 486-1; 487-1; 488-1; 489-1; 490-1; 491-1; 492-1; 497-1; 498-1; 499-1; 500-1; 501-1; 502-1; 503-1; 504-1; 505-1; 506-2; 507-1; 508-1; 514-1; 514-2; 515-1; 516-1; 517-1; 518-1; 519-1; 520-1; 521-1; 522-1; 523-1; 524-1; 525-1; 526-1; 527-1; Calculated; Center for Marine Environmental Sciences; CTD, SEA-BIRD SBE 9 plus, SBE 11 plus deck unit; CTD/Rosette; CTD-RO; Date/Time of event; Density, sigma-theta (0); DEPTH, water; Elevation of event; Event label; Flemish Cap/Orphan Knoll; GeoB18502-1; GeoB18503-1; GeoB18504-1; GeoB18505-1; GeoB18506-1; GeoB18507-1; GeoB18508-1; GeoB18509-1; GeoB18510-1; GeoB18511-1; GeoB18512-1; GeoB18513-1; GeoB18518-1; GeoB18519-1; GeoB18520-1; GeoB18521-1; GeoB18522-1; GeoB18523-1; GeoB18524-1; GeoB18525-1; GeoB18526-1; GeoB18527-2; GeoB18528-1; GeoB18529-1; GeoB18535-1; GeoB18535-2; GeoB18536-1; GeoB18537-1; GeoB18538-1; GeoB18539-1; GeoB18540-1; GeoB18541-1; GeoB18542-1; GeoB18543-1; GeoB18544-1; GeoB18545-1; GeoB18546-1; GeoB18547-1; GeoB18548-1; hydropraphic data; Latitude of event; Longitude of event; Maria S. Merian; MARUM; MSM39; North Atlantic; Optional event label; Pressure, water; Salinity; SE Grand Banks Slope; SW Grand Banks Slope; Temperature, water; Temperature, water, potential
    Type: Dataset
    Format: text/tab-separated-values, 497740 data points
    Location Call Number Limitation Availability
    BibTip Others were also interested in ...
  • 10
    Publication Date: 2024-02-02
    Keywords: Calculated; CTD, SEA-BIRD SBE 9 plus; CTD/Rosette; CTD-RO; Date/Time of event; Density, sigma-theta (0); DEPTH, water; Elevation of event; Event label; Latitude of event; Longitude of event; Maria S. Merian; MSM21/2; MSM21/2_383-1; MSM21/2_387-1; MSM21/2_388-1; MSM21/2_389-1; MSM21/2_390-1; MSM21/2_394-1; MSM21/2_395-1; MSM21/2_396-1; MSM21/2_397-1; MSM21/2_400-1; MSM21/2_403-1; MSM21/2_407-1; MSM21/2_408-1; MSM21/2_410-1; MSM21/2_412-1; MSM21/2_415-1; MSM21/2_416-1; MSM21/2_421-1; MSM21/2_427-1; MSM21/2_428-1; MSM21/2_429-1; MSM21/2_430-1; MSM21/2_431-1; MSM21/2_432-1; MSM21/2_433-1; MSM21/2_434-1; MSM21/2_435-1; MSM21/2_436-1; MSM21/2_437-1; MSM21/2_437-2; MSM21/2_437-3; MSM21/2_437-4; MSM21/2_437-5; MSM21/2_437-6; MSM21/2_437-7; MSM21/2_437-8; MSM21/2_437-9; MSM21/2_440-1; MSM21/2_444-1; MSM21/2_445-1; MSM21/2_446-1; MSM21/2_447-1; MSM21/2_448-1; MSM21/2_449-1; MSM21/2_450-1; MSM21/2_454-1; MSM21/2_455-1; MSM21/2_456-1; MSM21/2_457-1; MSM21/2_458-1; MSM21/2_460-1; MSM21/2_461-1; MSM21/2_463-1; MSM21/2_464-1; MSM21/2_465-1; MSM21/2_467-1; MSM21/2_468-1; MSM21/2_469-1; MSM21/2_470-1; MSM21/2_471-1; MSM21/2_475-1; MSM21/2_476-1; MSM21/2_477-1; MSM21/2_478-1; MSM21/2_480-1; MSM21/2_481-1; MSM21/2_482-1; MSM21/2_484-1; MSM21/2_485-1; MSM21/2_486-1; MSM21/2_488-1; MSM21/2_489-1; MSM21/2_491-1; MSM21/2_492-1; MSM21/2_494-1; MSM21/2_495-1; MSM21/2_496-1; MSM21/2_498-1; MSM21/2_499-1; MSM21/2_500-1; msm212_000; msm212_001; msm212_002; msm212_003; msm212_004; msm212_005; msm212_006; msm212_007; msm212_008; msm212_009; msm212_010; msm212_011; msm212_012; msm212_013; msm212_014; msm212_015; msm212_016; msm212_017; msm212_018; msm212_019; msm212_020; msm212_021; msm212_022; msm212_023; msm212_024; msm212_025; msm212_026; msm212_027; msm212_028; msm212_029; msm212_030; msm212_031; msm212_032; msm212_033; msm212_034; msm212_035; msm212_036; msm212_037; msm212_038; msm212_039; msm212_040; msm212_041; msm212_042; msm212_043; msm212_044; msm212_045; msm212_046; msm212_047; msm212_048; msm212_049; msm212_050; msm212_051; msm212_052; msm212_053; msm212_054; msm212_055; msm212_056; msm212_057; msm212_058; msm212_059; msm212_060; msm212_061; msm212_062; msm212_063; msm212_064; msm212_065; msm212_066; msm212_067; msm212_068; msm212_069; msm212_070; msm212_071; msm212_072; msm212_073; msm212_074; msm212_075; msm212_076; msm212_078; msm212_079; msm212_080; Optional event label; Pressure, water; Salinity; South Atlantic Ocean; Temperature, water; Temperature, water, potential
    Type: Dataset
    Format: text/tab-separated-values, 1197495 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...