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  • 11
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    At-sea intercomparison of two newly designed underway pCO2 systems - Encouraging results (1996)
    Elsevier
    In:  Marine Chemistry, 52 . pp. 133-145.
    Details
    Publication Date: 2017-08-18
    Description: Two newly designed underway systems for the measurement of CO2 partial pressure (pCO2) in seawater and the atmosphere are described. Results of an intercomparison experiment carried out in the North Sea are presented. A remarkable agreement between the two simultaneously measured (pCO2) data sets was observed even though the spatial variability in surface pCO2 was high. The average difference of all l -min averages of the seawater pCO2 was as low as 0.15 μatm with a standard deviation of 1.2 μatm indicating that no systematic difference is present. A closer examination of the profiles shows that differences tend to be highest during maxima of the pCO2 gradient (up to 14 μatm/min). The time constants of both systems were estimated from laboratory experiments to 45 s, respectively, 75 s thus quantitatively underlining their capability of a fast response to pCO2 changes
    Type: Article , PeerReviewed
    Format: text
    DOI: 10.1016/0304-4203(95)00083-6
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    OceanRep: Article in a Scientific Journal - peer-reviewed
  • 12
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    Greenhouse gases in cold water filaments in the Arabian Sea during the Southwest Monsoon (1999)
    Springer
    In:  Naturwissenschaften, 86 . pp. 489-491.
    Details
    Publication Date: 2017-03-07
    Description: The distribution of partial pressure of carbon dioxide and the concentrations of nitrous oxide and methane were investigated in a cold water filament near the coastal upwelling region off Oman at the beginning of the southwest monsoon in 1997. The results suggest that such filaments are regions of intense biogeochemical activity which may affect the marine cycling of climatically relevant trace gases
    Type: Article , PeerReviewed
    Format: text
    DOI: 10.1007/s001140050660
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    OceanRep: Article in a Scientific Journal - peer-reviewed
  • 13
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    Recent benthic foraminiferal distribution in the Elbe Estuary (North Sea, Germany): A response to environmental stressors (2021)
    Elsevier
    Details
    Publication Date: 2024-02-07
    Description: Highlights • Investigations of the benthic foraminiferal distribution in the Elbe Estuary. • Low diverse assemblages are dominated by Ammonia species. • Low salinities and high-frequency dredging confines foraminiferal proliferation. • Over 40 years, changes in hydrodynamic conditions induced assemblage modifications. Abstract For the past 200 years, estuarine environments experienced intense and rapid environmental degradations due to human interventions. In addition, Global Changes are modifying the estuarine physiography, leading to a re-structuration of marginal marine benthic communities. The aim of this study is to document, the modern assemblage composition and the species-environment relations of benthic foraminifera upstream the Elbe Estuary (southern North Sea) and to observe what has changed since the first survey in 1981. For this purpose, a surface sampling was carried out from 22 stations along the transitional area of the Elbe Estuary. Living (rose-Bengal stained) and dead foraminiferal assemblages were analysed as well as hydrological and sedimentological parameters (such as salinity, pH, grain-size, and organic matter). Living faunas are characterized by very low densities and largely dominated by Ammonia species. Dead assemblages are more diverse and dominated by Ammonia aomoriensis, Haynesina germanica, and Cribroelphidium selseyense. Salinity and grain-size seem to be the major factors influencing foraminiferal distributions in the transitional area. Under the ongoing climate changes, future strategies will be taken to foster the application of benthic foraminifera as biomonitoring tool in the Elbe Estuary, via this baseline investigation.
    Type: Article , PeerReviewed
    Format: text
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    OceanRep: Article in a Scientific Journal - peer-reviewed
  • 14
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    Detection and quantification of CO2 seepage in seawater using the stoichiometric Cseep method: Results from a recent subsea CO2 release experiment in the North Sea (2021)
    Elsevier
    Details
    Publication Date: 2024-02-07
    Description: Carbon Capture and Storage (CCS) is a potential significant mitigation strategy to combat climate change and ocean acidification. The technology is well understood but its current implementation must be scaled up nearly by a hundredfold to become an effective tool that helps meet mitigation targets. Regulations require monitoring and verification at storage sites, and reliable monitoring strategies for detection and quantification of seepage of the stored carbon need to be developed. The Cseep method was developed for reliable determination of CO2 seepage signal in seawater by estimating and filtering out natural variations in dissolved inorganic carbon (C). In this work, we analysed data from the first-ever subsea CO2 release experiment performed in the north-western North Sea by the EU STEMM-CCS project. We successfully demonstrated the ability of the Cseep method to (i) predict natural C variations around the Goldeneye site over seasonal to interannual time scales; (ii) establish a process-based baseline C concentration with minimal variability; (iii) determine CO2 seepage detection threshold (DT) to reliably differentiate released- CO2 signal from natural variability and quantify released- CO2 dissolved in the sampled seawater. DT values were around 20 % of the natural C variations indicating high sensitivity of the method. Moreover, with the availability of DT value, the identification of released- CO2 required no preknowledge of seepage occurrence, but we used additional available information to assess the confidence of the results. Overall, the Cseep method features high sensitivity, automation suitability, and represents a powerful future monitoring tool both for large and confined marine areas.
    Type: Article , PeerReviewed , info:eu-repo/semantics/article
    Format: text
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    OceanRep: Article in a Scientific Journal - peer-reviewed
  • 15
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    Strong Margin Influence on the Arctic Ocean Barium Cycle Revealed by Pan‐Arctic Synthesis (2022)
    AGU (American Geophysical Union) | Wiley
    Details
    Publication Date: 2024-02-07
    Description: Early studies revealed relationships between barium (Ba), particulate organic carbon and silicate, suggesting applications for Ba as a paleoproductivity tracer and as a tracer of modern ocean circulation. But, what controls the distribution of barium (Ba) in the oceans? Here, we investigated the Arctic Ocean Ba cycle through a one-of-a-kind data set containing dissolved (dBa), particulate (pBa), and stable isotope Ba ratio (δ138Ba) data from four Arctic GEOTRACES expeditions conducted in 2015. We hypothesized that margins would be a substantial source of Ba to the Arctic Ocean water column. The dBa, pBa, and δ138Ba distributions all suggest significant modification of inflowing Pacific seawater over the shelves, and the dBa mass balance implies that ∼50% of the dBa inventory (upper 500 m of the Arctic water column) was supplied by nonconservative inputs. Calculated areal dBa fluxes are up to 10 μmol m−2 day−1 on the margin, which is comparable to fluxes described in other regions. Applying this approach to dBa data from the 1994 Arctic Ocean Survey yields similar results. The Canadian Arctic Archipelago did not appear to have a similar margin source; rather, the dBa distribution in this section is consistent with mixing of Arctic Ocean-derived waters and Baffin Bay-derived waters. Although we lack enough information to identify the specifics of the shelf sediment Ba source, we suspect that a sedimentary remineralization and terrigenous sources (e.g., submarine groundwater discharge or fluvial particles) are contributors.
    Type: Article , PeerReviewed
    Format: text
    Format: text
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    OceanRep: Article in a Scientific Journal - peer-reviewed
  • 16
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    Mögliche Beiträge geologischer und mariner Kohlenstoffspeicher zur Dekarbonisierung (2024)
    Springer
    Details
    Publication Date: 2024-05-13
    Description: Es werden mögliche Beiträge geologischer und mariner Kohlenstoffspeicher für die Vermeidung von CO2-Emissionen in die Atmosphäre oder für die Entnahme von bereits emittiertem CO2 aus der Atmosphäre vorgestellt. Neben der Einlagerung von CO2 in geologischen Speichern unter Land und unter dem Meeresboden werden eine forcierte CO2-Entnahme aus der Atmosphäre und Abgabe in den Ozean durch Erhöhung der Alkalinität, durch Ozeandüngung und durch das Management vegetationsreicher Küstenökosysteme untersucht. Alle Optionen können sowohl global als auch aus deutscher Perspektive eine Rolle für das Erreichen der Klimaziele spielen. Umweltverträglichkeit, Permanenz der Speicherung sowie infrastrukturelle und rechtliche Voraussetzungen, gesellschaftliche Akzeptanz und wirtschaftliche Realisierbarkeit bedürfen für alle Ansätze weiterer Klärung, bevor hieraus realisierbare Optionen werden können.
    Type: Book chapter , NonPeerReviewed
    Format: text
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    OceanRep: Book chapter
  • 17
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    Hydrochemistry measured on water bottle samples during PELAGIA cruise 64PE190 (2006)
    PANGAEA
    In:  Department of Oceanography, Dalhousie University, Halifax
    Details
    Publication Date: 2023-03-14
    Keywords: 64PE190; 64PE190-1; 64PE190-10; 64PE190-11; 64PE190-12; 64PE190-13; 64PE190-14; 64PE190-15; 64PE190-16; 64PE190-17; 64PE190-18; 64PE190-19; 64PE190-1a; 64PE190-1b; 64PE190-1c; 64PE190-1d; 64PE190-1e; 64PE190-2; 64PE190-20; 64PE190-21; 64PE190-22; 64PE190-23; 64PE190-24; 64PE190-25; 64PE190-26; 64PE190-27; 64PE190-28; 64PE190-29; 64PE190-3; 64PE190-30; 64PE190-31; 64PE190-32; 64PE190-33; 64PE190-34; 64PE190-35; 64PE190-36; 64PE190-37; 64PE190-38; 64PE190-39; 64PE190-4; 64PE190-40; 64PE190-41; 64PE190-42; 64PE190-43; 64PE190-44; 64PE190-45; 64PE190-46; 64PE190-47; 64PE190-48; 64PE190-49; 64PE190-5; 64PE190-50; 64PE190-51; 64PE190-52; 64PE190-53; 64PE190-54; 64PE190-55; 64PE190-56; 64PE190-57; 64PE190-58; 64PE190-59; 64PE190-6; 64PE190-60; 64PE190-61; 64PE190-62; 64PE190-63; 64PE190-64; 64PE190-65; 64PE190-66; 64PE190-67; 64PE190-68; 64PE190-69; 64PE190-7; 64PE190-70; 64PE190-71; 64PE190-72; 64PE190-73; 64PE190-74; 64PE190-75; 64PE190-76; 64PE190-77; 64PE190-78; 64PE190-79; 64PE190-8; 64PE190-80; 64PE190-81; 64PE190-82; 64PE190-83; 64PE190-84; 64PE190-85; 64PE190-86; 64PE190-87; 64PE190-88; 64PE190-89; 64PE190-9; 64PE190-90; 64PE190-91; 64PE190-92; Alkalinity, total; Ammonium; Bottle number; Calculated; Calculated from depth, temperature, and salinity; CANOBA_III-1; CANOBA_III-10; CANOBA_III-11; CANOBA_III-12; CANOBA_III-13; CANOBA_III-14; CANOBA_III-15; CANOBA_III-16; CANOBA_III-17; CANOBA_III-18; CANOBA_III-19; CANOBA_III-1a; CANOBA_III-1b; CANOBA_III-1c; CANOBA_III-1d; CANOBA_III-1e; CANOBA_III-2; CANOBA_III-20; CANOBA_III-21; CANOBA_III-22; CANOBA_III-23; CANOBA_III-24; CANOBA_III-25; CANOBA_III-26; CANOBA_III-27; CANOBA_III-28; CANOBA_III-29; CANOBA_III-3; CANOBA_III-30; CANOBA_III-31; CANOBA_III-32; CANOBA_III-33; CANOBA_III-34; CANOBA_III-35; CANOBA_III-36; CANOBA_III-37; CANOBA_III-38; CANOBA_III-39; CANOBA_III-4; CANOBA_III-40; CANOBA_III-41; CANOBA_III-42; CANOBA_III-43; CANOBA_III-44; CANOBA_III-45; CANOBA_III-46; CANOBA_III-47; CANOBA_III-48; CANOBA_III-49; CANOBA_III-5; CANOBA_III-50; CANOBA_III-51; CANOBA_III-52; CANOBA_III-53; CANOBA_III-54; CANOBA_III-55; CANOBA_III-56; CANOBA_III-57; CANOBA_III-58; CANOBA_III-59; CANOBA_III-6; CANOBA_III-60; CANOBA_III-61; CANOBA_III-62; CANOBA_III-63; CANOBA_III-64; CANOBA_III-65; CANOBA_III-66; CANOBA_III-67; CANOBA_III-68; CANOBA_III-69; CANOBA_III-7; CANOBA_III-70; CANOBA_III-71; CANOBA_III-72; CANOBA_III-73; CANOBA_III-74; CANOBA_III-75; CANOBA_III-76; CANOBA_III-77; CANOBA_III-78; CANOBA_III-79; CANOBA_III-8; CANOBA_III-80; CANOBA_III-81; CANOBA_III-82; CANOBA_III-83; CANOBA_III-84; CANOBA_III-85; CANOBA_III-86; CANOBA_III-87; CANOBA_III-88; CANOBA_III-89; CANOBA_III-9; CANOBA_III-90; CANOBA_III-91; CANOBA_III-92; CANOBA III; Carbon, inorganic, dissolved; CO2BaseSleipner; Coulometric titration (Knap et al., 1996, IOC Manuals and Guides 29, UNESCO); CTD/Rosette; CTD-RO; Date/Time of event; Density, mass density; DEPTH, water; Event label; Latitude of event; Longitude of event; Nitrate; Nitrite; North Sea; Oxygen; Oxygen, apparent utilization; Oxygen saturation; Partial pressure of carbon dioxide (water) at sea surface temperature (wet air); Pelagia; pH; Phosphate; Quality code; Salinity; Silicate; Temperature, water
    Type: Dataset
    Format: text/tab-separated-values, 10526 data points
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    DATA PANGAEA
  • 18
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    Alkalinity and DIC data in water samples from the Alps and Germany collected in 2020 (2021)
    PANGAEA
    Details
    Publication Date: 2023-03-17
    Description: During two field sampling campaigns in May and June/July 2020, we collected 111 water samples for total alkalinity and DIC (dissolved inorganic carbon) analysis in Germany (Möhnetal, Black Forest and Oberpfalz) and in the Alps in Switzerland, Italy and Austria, at locations for which 10Be measurements are available. In the field, we also recorded water temperature, electrical conductivity and turbidity.
    Keywords: Alkalinity, total; Alpen2020; Alpen2020_Stat_101; Alpen2020_Stat_102; Alpen2020_Stat_103; Alpen2020_Stat_104; Alpen2020_Stat_105; Alpen2020_Stat_106; Alpen2020_Stat_107; Alpen2020_Stat_111; Alpen2020_Stat_112; Alpen2020_Stat_113; Alpen2020_Stat_114; Alpen2020_Stat_74; Alpen2020_Stat_75; Alpen2020_Stat_76; Alpen2020_Stat_77; Alpen2020_Stat_78; Alpen2020_Stat_79; Alpen2020_Stat_80; Alpen2020_Stat_81; Alpen2020_Stat_83; Alpen2020_Stat_90; Alpen2020_Stat_aa; Alpen2020_Stat_ab; Alpen2020_Stat_ac; Alpen2020_Stat_ad; Alpen2020_Stat_ae; Alpen2020_Stat_af; Alpen2020_Stat_ag; Alpen2020_Stat_ai; Alpen2020_Stat_aj; Alpen2020_Stat_ak; Alpen2020_Stat_al; Alpen2020_Stat_av; Alpen2020_Stat_aw; Alpen2020_Stat_ay; Alpen2020_Stat_ba; Alpen2020_Stat_bb; Alpen2020_Stat_bc; Alpen2020_Stat_be; Alpen2020_Stat_e; Alpen2020_Stat_u; Alpen2020_Stat_v; Alpen2020_Stat_w; Alpen2020_Stat_y; Alpen2020_Stat_z; BOD; BOD bottle (300 ml); Campaign of event; Carbon, inorganic, dissolved; Conductivity, electrical; Date/Time of event; DEPTH, water; Event label; Helmholtz-Zentrum Hereon; Hereon; HYDCAST; Hydrocast; In-situ measurement; Latitude of event; Longitude of event; Method/Device of event; Potentiometric titration (Metrohm 888 Titrando with an Aquatrode pH probe); Salinity; Schwarzwald2020; Schwarzwald2020_Stat_73; Schwarzwald2020_Stat_am; Schwarzwald2020_Stat_an; Schwarzwald2020_Stat_D1; Schwarzwald2020_Stat_D10; Schwarzwald2020_Stat_D11; Schwarzwald2020_Stat_D12; Schwarzwald2020_Stat_D13; Schwarzwald2020_Stat_D14; Schwarzwald2020_Stat_D16; Schwarzwald2020_Stat_D17; Schwarzwald2020_Stat_D18; Schwarzwald2020_Stat_D19; Schwarzwald2020_Stat_D2; Schwarzwald2020_Stat_D20; Schwarzwald2020_Stat_D21; Schwarzwald2020_Stat_D22; Schwarzwald2020_Stat_D23; Schwarzwald2020_Stat_D24; Schwarzwald2020_Stat_D25; Schwarzwald2020_Stat_D26; Schwarzwald2020_Stat_D27; Schwarzwald2020_Stat_D28; Schwarzwald2020_Stat_D29; Schwarzwald2020_Stat_D3; Schwarzwald2020_Stat_D30; Schwarzwald2020_Stat_D31; Schwarzwald2020_Stat_D32; Schwarzwald2020_Stat_D33; Schwarzwald2020_Stat_D34; Schwarzwald2020_Stat_D35; Schwarzwald2020_Stat_D36; Schwarzwald2020_Stat_D37; Schwarzwald2020_Stat_D38; Schwarzwald2020_Stat_D40; Schwarzwald2020_Stat_D41; Schwarzwald2020_Stat_D44; Schwarzwald2020_Stat_D45; Schwarzwald2020_Stat_D47; Schwarzwald2020_Stat_D49; Schwarzwald2020_Stat_D5; Schwarzwald2020_Stat_D50; Schwarzwald2020_Stat_D51; Schwarzwald2020_Stat_D52; Schwarzwald2020_Stat_D53; Schwarzwald2020_Stat_D54; Schwarzwald2020_Stat_D55; Schwarzwald2020_Stat_D56; Schwarzwald2020_Stat_D57; Schwarzwald2020_Stat_D58; Schwarzwald2020_Stat_D59; Schwarzwald2020_Stat_D6; Schwarzwald2020_Stat_D60; Schwarzwald2020_Stat_D61; Schwarzwald2020_Stat_D63; Schwarzwald2020_Stat_D64; Schwarzwald2020_Stat_D67; Schwarzwald2020_Stat_D68; Schwarzwald2020_Stat_D69; Schwarzwald2020_Stat_D7; Schwarzwald2020_Stat_D70; Schwarzwald2020_Stat_D71; Schwarzwald2020_Stat_D72; Schwarzwald2020_Stat_D73; Schwarzwald2020_Stat_D74; Schwarzwald2020_Stat_D9; Temperature, water; Turbidity (Formazin nephelometric unit); VINDTA 3C for AT and Dissolved Inorganic Carbon measurement
    Type: Dataset
    Format: text/tab-separated-values, 666 data points
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    DATA PANGAEA
  • 19
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    Physical oceanography of Seahorse profiler at station HL2 at the Scotain Shelf in 2007 (2018)
    PANGAEA
    Details
    Publication Date: 2023-01-13
    Keywords: Buoy; BUOY; Chlorophyll a; Conductivity; DATE/TIME; Day of the year; Density, sigma-theta (0); DEPTH, water; Pressure, water; Radiation, photosynthetically active; Salinity; Scotian Shelf; SeaHorse_2007_ScotiaShelf; Temperature, water
    Type: Dataset
    Format: text/tab-separated-values, 1883875 data points
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    DATA PANGAEA
  • 20
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    Physical oceanography of CARIOCA buoy at station HL2 at the Scotain Shelf in 2014 (2018)
    PANGAEA
    Details
    Publication Date: 2023-01-13
    Keywords: Buoy; BUOY; Carbon dioxide, partial pressure; CARIOCA_2014_ScotiaShelf; DATE/TIME; Day of the year; DEPTH, water; Fluorescence; Fugacity of carbon dioxide in seawater; LATITUDE; LONGITUDE; Pressure, atmospheric; Salinity; Scotian Shelf; Temperature, water; Wind speed
    Type: Dataset
    Format: text/tab-separated-values, 67815 data points
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    DATA PANGAEA
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