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  • 1
    ISSN: 1476-4687
    Source: Nature Archives 1869 - 2009
    Topics: Biology , Chemistry and Pharmacology , Medicine , Natural Sciences in General , Physics
    Notes: [Auszug] The first iron experiments in the Weddell-Scotia Sea5'6 and the Ross Sea7 have shown stimulation of growth by iron; however, other limitations (light and grazing5'6'10'11) were also at play in these near-shore, neritic12 waters where dissolved Fe concentrations4'13'20 commonly exceed ~1 nM, ...
    Type of Medium: Electronic Resource
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  • 2
    ISSN: 1432-2056
    Source: Springer Online Journal Archives 1860-2000
    Topics: Biology
    Notes: Summary Ice-edge-related phytoplankton blooms following the retreating sea-ice in the marginal ice zone are frequently observed phenomena. Such blooms are generally short-lived and are followed by a strong decrease in the chlorophyll concentration towards the open ocean, generally explained by the degradation of the vertical stability. Solar heating and ice melting, which control the stability of the surface water of the north-western Weddell Sea during sea-ice retreat in spring were analysed in order to relate the spatial features of the phytoplankton ice-edge bloom in 1988 to the density field. Solar heating has little effect on the density of seawater in ice-covered areas because the thermal expansion coefficient is very low close to the freezing temperature. Outside the marginal ice zone, the temperature effect on stratification increases and the combined contribution of melting and heating on buoyancy input to the surface layer is roughly constant. As a consequence, the low phytoplankton stocks in the open ocean adjacent to the marginal ice zone, after an initial bloom peak following the retreating ice in spring, are not necessarily caused by deep turbulent mixing, in contrast to what is often assumed.
    Type of Medium: Electronic Resource
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  • 3
    ISSN: 1432-2056
    Source: Springer Online Journal Archives 1860-2000
    Topics: Biology
    Notes: Abstract The factors controlling phytoplankton bloom development in the marginal ice zone of the northwestern Weddell Sea were investigated during the EPOS (Leg 2) expedition (1988). Measurements were made of physical and chemical processes and biological activities associated with the process of ice-melting and their controlling variables particularly light limitation mediated by vertical stability and ice-cover, trace metal deficiency and grazing pressure. The combined observations and process studies show that the initiation of the phytoplankton bloom, dominated by nanoplanktonic species, was determined by the physical processes operating in the marginal ice zone at the time of ice melting. The additional effects of grazing pressure by protozoa and deep mixing appeared responsible for a rather moderate phytoplankton biomass (4 mg Chla m−3) with a relatively narrow geographical extent (100–150 km). The rôle of trace constituents, in particular iron, was minor. The importance of each factor during the seasonal development of the ice-edge phytoplankton bloom was studied through modelling of reasonable scenarios of meteorological and biological forcing, making use of a one-dimensional coupled physicalbiological model. The analysis of simulations clearly shows that wind mixing events — their duration, strength and frequency — determines both the distance from the iceedge of the sea ice associated phytoplankton bloom and the occurrence in the ice-free area of secondary phytoplankton blooms during the summer period. The magnitude and extent of the ice-edge bloom is determined by the combined action of meteorological conditions and grazing pressure. In the absence of grazers, a maximum ice-edge bloom of 7.5 mg Chla m−3 is predicted under averaged wind conditions of 8 m s−1. Extreme constant wind scenarios (4–14 m s−1) combined with realistic grazing pressure predict maximum ice-edge phytoplankton concentrations varying from 11.5 to 2 mg Chla m−3. Persistent violent wind conditions (≥ 14 m s−1) are shown to prevent blooms from developing even during the brightest period of the year.
    Type of Medium: Electronic Resource
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  • 4
    Publication Date: 2020-02-06
    Type: Article , PeerReviewed
    Format: text
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  • 5
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    PANGAEA
    In:  Alfred Wegener Institute, Helmholtz Centre for Polar and Marine Research, Bremerhaven | Supplement to: Driemel, Amelie; Fahrbach, Eberhard; Rohardt, Gerd; Beszczynska-Möller, Agnieszka; Boetius, Antje; Budéus, Gereon; Cisewski, Boris; Engbrodt, Ralph; Gauger, Steffen; Geibert, Walter; Geprägs, Patrizia; Gerdes, Dieter; Gersonde, Rainer; Gordon, Arnold L; Grobe, Hannes; Hellmer, Hartmut H; Isla, Enrique; Jacobs, Stanley S; Janout, Markus A; Jokat, Wilfried; Klages, Michael; Kuhn, Gerhard; Meincke, Jens; Ober, Sven; Østerhus, Svein; Peterson, Ray G; Rabe, Benjamin; Rudels, Bert; Schauer, Ursula; Schumacher, Stefanie; Schröder, Michael; Sieger, Rainer; Sildam, Jüri; Soltwedel, Thomas; Stangeew, Elena; Stein, Manfred; Strass, Volker H; Thiede, Jörn; Tippenhauer, Sandra; Veth, Cornelis; von Appen, Wilken-Jon; Weirig, Marie-France; Wisotzki, Andreas; Wolf-Gladrow, Dieter A; Kanzow, Torsten (2017): From pole to pole: 33 years of physical oceanography onboard R/V Polarstern. Earth System Science Data, 9(1), 211-220, https://doi.org/10.5194/essd-9-211-2017
    Publication Date: 2023-10-18
    Description: Measuring temperature and salinity profiles in the world's oceans is crucial to understanding ocean dynamics and its influence on the heat budget, the water cycle, the marine environment and on our climate. Since 1983 the German research vessel and icebreaker Polarstern has been the platform of numerous CTD (conductivity, temperature, depth instrument) deployments in the Arctic and the Antarctic. We report on a unique data collection spanning 33 years of polar CTD data. In total 131 data sets (1 data set per cruise leg) containing data from 10 063 CTD casts are now freely available. During this long period five CTD types with different characteristics and accuracies have been used. Therefore the instruments and processing procedures (sensor calibration, data validation, etc.) are described in detail. This compilation is special not only with regard to the quantity but also the quality of the data - the latter indicated for each data set using defined quality codes. The complete data collection includes a number of repeated sections for which the quality code can be used to investigate and evaluate long-term changes. Beginning with 2010, the salinity measurements presented here are of the highest quality possible in this field owing to the introduction of the OPTIMARE Precision Salinometer.
    Keywords: Author(s); AWI_PhyOce; Campaign; Date/time end; Date/time start; Method comment; Number of observations; Ocean and sea region; Persistent Identifier; Physical Oceanography @ AWI; Principal investigator; Quality code; Uniform resource locator/link to image; Uniform resource locator/link to reference
    Type: Dataset
    Format: text/tab-separated-values, 1695 data points
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  • 6
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    PANGAEA
    In:  Alfred Wegener Institute, Helmholtz Centre for Polar and Marine Research, Bremerhaven
    Publication Date: 2024-02-01
    Keywords: ANT-VII/3; Calculated; Computed; CTD, Neil Brown, Mark III B; CTD/Rosette; CTD-RO; Date/Time of event; Density, sigma-theta (0); DEPTH, water; Elevation of event; Event label; JGOFS; Joint Global Ocean Flux Study; Latitude of event; Longitude of event; Polarstern; Pressure, water; PS14/142-1; PS14/143-1; PS14/144-1; PS14/145-1; PS14/146-1; PS14/147-1; PS14/147-2; PS14/148-1; PS14/149-1; PS14/150-1; PS14/151-1; PS14/152-1; PS14/153-1; PS14/154-1; PS14/156-1; PS14/156-10; PS14/156-11; PS14/156-12; PS14/156-13; PS14/156-2; PS14/156-3; PS14/156-4; PS14/156-5; PS14/156-6; PS14/156-7; PS14/156-8; PS14/157-1; PS14/157-10; PS14/157-11; PS14/157-13; PS14/157-14; PS14/157-15; PS14/157-2; PS14/157-3; PS14/157-4; PS14/157-6; PS14/157-7; PS14/157-8; PS14/157-9; PS14/158-1; PS14/158-10; PS14/158-11; PS14/158-12; PS14/158-2; PS14/158-3; PS14/158-5; PS14/158-6; PS14/158-7; PS14/158-8; PS14/158-9; PS14/159-1; PS14/159-12; PS14/159-13; PS14/159-14; PS14/159-2; PS14/159-3; PS14/159-4; PS14/159-5; PS14/159-6; PS14/159-7; PS14/159-8; PS14/159-9; PS14/160-1; PS14/160-2; PS14/161-1; PS14/162-1; PS14/163-1; PS14/164-1; PS14/164-2; PS14/165-1; PS14/166-1; PS14/167-1; PS14/168-1; PS14/169-1; PS14/169-10; PS14/169-2; PS14/169-3; PS14/169-4; PS14/169-5; PS14/169-6; PS14/169-7; PS14/169-8; PS14/169-9; PS14/171-1; PS14/171-2; PS14/171-3; PS14/172-1; PS14/173-1; PS14/173-2; PS14/174-1; PS14/174-2; PS14/175-1; PS14/175-2; PS14/176-1; PS14/177-1; PS14/178-1; PS14/179-1; PS14/179-2; PS14/182-1; PS14/182-2; PS14/182-3; PS14/182-4; PS14/183-1; PS14/184-1; PS14/185-1; PS14/186-1; PS14/186-2; PS14/187-1; PS14/188-1; PS14/189-1; PS14/190-1; PS14/191-1; PS14/192-1; PS14/193-1; PS14/194-1; PS14/194-2; PS14/196-1; PS14/197-1; PS14/198-1; PS14/199-1; PS14/200-1; PS14/201-1; PS14/202-1; PS14/203-1; PS14/204-1; PS14/205-1; PS14/206-1; PS14/207-1; PS14/208-1; PS14/209-1; PS14 EPOS I; Salinity; Scotia Sea; Temperature, water; Weddell Sea
    Type: Dataset
    Format: text/tab-separated-values, 468201 data points
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  • 7
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    Unknown
    PANGAEA
    In:  Alfred Wegener Institute, Helmholtz Centre for Polar and Marine Research, Bremerhaven
    Publication Date: 2024-02-01
    Keywords: Aminco-Bowman spectrofluorometer; Ammonium; ANT-VII/3; Barium, particulate; Chlorophyll a; CTD/Rosette; CTD-RO; Density, mass density; Density, sigma-theta (0); DEPTH, water; Event label; ICP, Inductively coupled plasma; JGOFS; Joint Global Ocean Flux Study; Nitrate; Oxygen; Oxygen, Winkler (Culberson, 1991, WOCE Report 68/91); Phosphate; Polarstern; Pressure, water; PS14/142-1; PS14/143-1; PS14/144-1; PS14/145-1; PS14/146-1; PS14/147-1; PS14/147-2; PS14/148-1; PS14/149-1; PS14/150-1; PS14/151-1; PS14/152-1; PS14/153-1; PS14/154-1; PS14/156-1; PS14/156-10; PS14/156-11; PS14/156-12; PS14/156-13; PS14/156-14; PS14/156-15; PS14/156-3; PS14/156-4; PS14/156-5; PS14/156-6; PS14/156-7; PS14/156-8; PS14/157-1; PS14/157-10; PS14/157-11; PS14/157-13; PS14/157-14; PS14/157-15; PS14/157-16; PS14/157-2; PS14/157-3; PS14/157-4; PS14/157-6; PS14/157-7; PS14/157-8; PS14/157-9; PS14/158-1; PS14/158-10; PS14/158-11; PS14/158-12; PS14/158-13; PS14/158-2; PS14/158-3; PS14/158-5; PS14/158-6; PS14/158-7; PS14/158-8; PS14/158-9; PS14/159-1; PS14/159-12; PS14/159-13; PS14/159-14; PS14/159-15; PS14/159-2; PS14/159-3; PS14/159-4; PS14/159-5; PS14/159-6; PS14/159-7; PS14/159-8; PS14/159-9; PS14/160-1; PS14/160-2; PS14/161-1; PS14/162-1; PS14/163-1; PS14/164-1; PS14/164-2; PS14/165-1; PS14/166-1; PS14/167-1; PS14/168-1; PS14/169-1; PS14/169-10; PS14/169-11; PS14/169-2; PS14/169-3; PS14/169-4; PS14/169-5; PS14/169-6; PS14/169-7; PS14/169-8; PS14/169-9; PS14/171-1; PS14/171-2; PS14/171-3; PS14/172-1; PS14/172-2; PS14/173-1; PS14/173-2; PS14/174-1; PS14/174-2; PS14/174-3; PS14/175-1; PS14/175-2; PS14/176-1; PS14/176-2; PS14/176-3; PS14/177-1; PS14/178-1; PS14/178-2; PS14/179-1; PS14/179-2; PS14/180-1; PS14/182-1; PS14/182-2; PS14/182-3; PS14/182-4; PS14/183-1; PS14/184-1; PS14/185-1; PS14/186-1; PS14/186-2; PS14/187-1; PS14/188-1; PS14/188-2; PS14/189-1; PS14/190-1; PS14/191-1; PS14/192-1; PS14/193-1; PS14/194-1; PS14/194-2; PS14/196-1; PS14/197-1; PS14/198-1; PS14/199-1; PS14/200-1; PS14/201-1; PS14/202-1; PS14/203-1; PS14/204-1; PS14/205-1; PS14/205-2; PS14/206-1; PS14/207-1; PS14/208-1; PS14/209-1; PS14 EPOS I; Salinity; Scotia Sea; Silicate; Temperature, water; Temperature, water, potential; Weddell Sea
    Type: Dataset
    Format: text/tab-separated-values, 14230 data points
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  • 8
    Publication Date: 2018-08-10
    Description: Measuring temperature and salinity profiles in the world's oceans is crucial to understanding ocean dynamics and its influence on the heat budget, the water cycle, the marine environment and on our climate. Since 1983 the German research vessel and icebreaker Polarstern has been the platform of numerous CTD (conductivity, temperature, depth instrument) deployments in the Arctic and the Antarctic. We report on a unique data collection spanning 33 years of polar CTD data. In total 131 data sets (1 data set per cruise leg) containing data from 10 063 CTD casts are now freely available at doi:10.1594/PANGAEA.860066. During this long period five CTD types with different characteristics and accuracies have been used. Therefore the instruments and processing procedures (sensor calibration, data validation, etc.) are described in detail. This compilation is special not only with regard to the quantity but also the quality of the data – the latter indicated for each data set using defined quality codes. The complete data collection includes a number of repeated sections for which the quality code can be used to investigate and evaluate long-term changes. Beginning with 2010, the salinity measurements presented here are of the highest quality possible in this field owing to the introduction of the OPTIMARE Precision Salinometer.
    Repository Name: EPIC Alfred Wegener Institut
    Type: Article , isiRev
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