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  • PANGAEA  (131)
  • Elsevier  (2)
  • Springer  (2)
  • 2015-2019  (135)
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  • 1
  • 2
    Publication Date: 2015-08-01
    Print ISSN: 0967-0637
    Electronic ISSN: 1879-0119
    Topics: Biology , Geosciences , Physics
    Published by Elsevier
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  • 3
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    Elsevier
    In:  Deep Sea Research Part I: Oceanographic Research Papers, 102 . pp. 26-42.
    Publication Date: 2020-08-05
    Description: Highlights: • The distribution of particulate matter was studied using Argo float measurements. • Its spatio-temporal properties were analyzed in the eastern tropical North Atlantic. • Surface, subsurface, intermediate and bottom nepheloid layers were considered. • High correlations between particulate matter and phytoplankton were verified. • The depth of subsurface particle maxima correlated to the distance to shore. Abstract: The spatial and temporal distribution of particulate matter in the water column of the eastern tropical North Atlantic between 16.9–22.9°N and 16.6–29.3°W was investigated using optical measurements from transmissometers mounted on Argo floats. The corresponding profiles of beam attenuation coefficients measured from February 2008 to May 2009 were used to study particulate matter in different layers such as the surface nepheloid layer (SNL), subsurface nepheloid layer (SSNL), intermediate nepheloid layer (INL) and bottom nepheloid layer (BNL) as well as to investigate sinking particles (SP). The SNL were down to about 60 m water depth at thicknesses between 20 and 60 m. Our analyses verified high correlation between particulate matter and phytoplankton in the SNL. High offshore SNL extension of up to 750 km was found in the area of Cape Blanc filaments in January 2009. Their typical widths ranged from 11 to 72 km. Furthermore, float-borne observations even resolved atmospheric dust deposition into the surface water layer during a strong Saharan dust event in October 2008. The observed dust concentration in the mixed water layer was found to vary between 0.0021 and 0.0168 g m−3 depending on applied assumptions. An abrupt change from a SNL to a SSNL regime over distances of only 80 to 90 km was observed. The particulate matter in the SSNL showed lateral extensions from 420 to 1020 km offshore. A statistically significant correlation between the depth of subsurface particle maxima and the distance to shore was found. An averaged diameter of 30 km was determined for the sharply isolated patches of INL which was consistent with model simulations of other studies. The lateral transport of particulate matter in these INL features in the area of the giant Cape Blanc filaments was found to be more pronounced than reported in earlier studies. The distribution of particulate matter within the INL filaments reached up to 610 km off the shelf edge. The frequency of INL decreased with increasing distance to shore. The sinking velocity of particulate matter of one long-term observed INL was approximately 1.3 m day−1. Highly concentrated BNLs with beam attenuation coefficients of up to 4.530 m−1 were observed in the continental slope region. INLs appeared more frequently than SP events which lead to the conclusion that the lateral transport of particulate matter in INL features in the study area was more important than their passive vertical sinking.
    Type: Article , PeerReviewed , info:eu-repo/semantics/article
    Format: text
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  • 4
    Publication Date: 2018-07-04
    Description: Sub-micron marine aerosol particles (PM1) were collected over the period 22 June–21 July 2011 during the RV MARIA S. MERIAN cruise MSM 18/3, which travelled from the Cape Verdean island of São Vicente to Gabon, in the process crossing the tropical Atlantic Ocean with its equatorial upwelling regime. According to air mass origin and the chemical composition of the sampled aerosol particles, three main regimes could be established. Aerosol particles in the first part of the cruise were mainly of marine origin (Region I). In the second part of the cruise, marine influences mixed with increasing influence from biomass burning (Region II). In the final part of the cruise, which approached the African mainland, the biomass burning influence became dominant (Region III). Generally, aerosol particles were dominated by sulfate (caverage = 2.0 μg m−3) and ammonium ions (caverage = 0.7 μg m−3), which were well-correlated and increased slightly over the duration of the cruise. High concentrations of water-insoluble organic carbon (WISOC; caverage = 0.4 μg m−3) were found, most likely as a result of the high oceanic productivity in this region. Water-soluble organic carbon (WSOC) concentrations increased from 0.26 μg m−3 in Region I to 2.3 μg m−3 in Region III, most likely as a result of biomass burning influences. The major organic aerosol constituents were oxalic acid, methanesulfonic acid (MSA), and aliphatic amines. MSA concentrations were quite constant during the cruise (caverage = 42 ng m−3). Aliphatic amines were most abundant in Region I, with concentrations of ~ 20 ng m−3. Oxalic acid showed the opposite trend, with average concentrations of 12 ng m−3 in Region I and 158 ng m−3 in Region III. The α-dicarbonyl compounds glyoxal and methylglyoxal were detected in the aerosol particles in the low ng m−3 range and were closely correlated with oxalic acid. MSA and aliphatic amines arise from biogenic marine sources, whereas oxalic acid and the α-dicarbonyl compounds were attributed to biomass burning. Concentrations of n-alkanes increased from 0.8 to 4.7 ng m−3 over the duration of the cruise. PAHs and hopanes were abundant only in Region III (caverage of PAHs = 0.13 ng m−3; caverage of hopanes = 0.19 ng m−3). Levoglucosan was identified in several samples obtained in Region III, with caverage = 1.9 ng m−3, which points to (aged) biomass burning influences. The organic compounds quantified in this study could explain 8.3 % of WSOC in Regions I, where aliphatic amines and MSA dominated, 3.7 % of WSOC in Region II and 2.5 % of WSOC in Region III, where oxalic acid dominated.
    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
    Publication Date: 2023-03-16
    Keywords: ANT-XXVI/4; Atlantic, transit cruise; Calculated; Course; CT; DATE/TIME; LATITUDE; LONGITUDE; Polarstern; PS75; PS75/4-track; Speed; Underway cruise track measurements
    Type: Dataset
    Format: text/tab-separated-values, 11576 data points
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  • 6
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    PANGAEA
    In:  Supplement to: Fischer, Gerhard; Karstensen, Johannes; Romero, Oscar E; Baumann, Karl-Heinz; Donner, Barbara; Hefter, Jens; Mollenhauer, Gesine; Iversen, Morten Hvitfeldt; Fiedler, Björn; Monteiro, Ivanice; Körtzinger, Arne (2016): Bathypelagic particle flux signatures from a suboxic eddy in the oligotrophic tropical North Atlantic: production, sedimentation and preservation. Biogeosciences, 13(11), 3203-3223, https://doi.org/10.5194/bg-13-3203-2016
    Publication Date: 2023-06-26
    Description: Particle fluxes at the Cape Verde Ocean Observatory (CVOO) in the eastern tropical North Atlantic for the period December 2009 until May 2011 are discussed based on bathypelagic sediment trap time-series data collected at 1290 and 3439 m water depth. The typically oligotrophic particle flux pattern with weak seasonality is modified by the appearance of a highly productive and low oxygen (minimum concentration below 2 µmol kg**-1 at 40 m depth) anticyclonic modewater eddy (ACME) in winter 2010. The eddy passage was accompanied by unusually high mass fluxes of up to 151 mg m**-2 d**-1, lasting from December 2009 to May 2010. Distinct biogenic silica (BSi) and organic carbon flux peaks of ~15 and 13.3 mg m**-2 d**-1, respectively, were observed in February-March 2010 when the eddy approached the CVOO. The flux of the lithogenic component, mostly mineral dust, was well correlated with that of organic carbon, in particular in the deep trap samples, suggesting a tight coupling. The lithogenic ballasting obviously resulted in high particle settling rates and, thus, a fast transfer of epi-/meso-pelagic signatures to the bathypelagic traps. We suspect that the two- to three-fold increase in particle fluxes with depth as well as the tight coupling of mineral dust and organic carbon in the deep trap samples might be explained by particle focusing processes within the deeper part of the eddy. Molar C : N ratios of organic matter during the ACME passage were around 18 and 25 for the upper and lower trap samples, respectively. This suggests that some productivity under nutrient (nitrate) limitation occurred in the euphotic zone of the eddy in the beginning of 2010 or that a local nitrogen recycling took place. The d15N record showed a decrease from 5.21 to 3.11 per mil from January to March 2010, while the organic carbon and nitrogen fluxes increased. The causes of enhanced sedimentation from the eddy in February/March 2010 remain elusive, but nutrient depletion and/or an increased availability of dust as a ballast mineral for organic-rich aggregates might have contributed. Rapid remineralisation of sinking organic-rich particles could have contributed to oxygen depletion at shallow depth. Although the eddy formed in the West African coastal area in summer 2009, no indications of coastal flux signatures (e.g. from diatoms) were found in the sediment trap samples, confirming the assumption that the suboxia developed within the eddy en route. However, we could not detect biomarkers indicative of the presence of anammox (anaerobic ammonia oxidation) bacteria or green sulfur bacteria thriving in photic zone suboxia/hypoxia, i.e. ladderane fatty acids and isorenieratene derivatives, respectively. This could indicate that suboxic conditions in the eddy had recently developed and/or the respective bacterial stocks had not yet reached detection thresholds. Another explanation is that the fast-sinking organic-rich particles produced in the surface layer did not interact with bacteria from the suboxic zone below. Carbonate fluxes dropped from -52 to 21.4 mg m**-2 d**-1 from January to February 2010, respectively, mainly due to reduced contribution of shallow-dwelling planktonic foraminifera and pteropods. The deep-dwelling foraminifera Globorotalia menardii, however, showed a major flux peak in February 2010, most probably due to the suboxia/hypoxia. The low oxygen conditions forced at least some zooplankton to reduce diel vertical migration. Reduced "flux feeding" by zooplankton in the epipelagic could have contributed to the enhanced fluxes of organic materials to the bathypelagic traps during the eddy passage. Further studies are required on eddy-induced particle production and preservation processes and particle focusing.
    Keywords: Center for Marine Environmental Sciences; MARUM
    Type: Dataset
    Format: application/zip, 3 datasets
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  • 7
    Publication Date: 2023-06-26
    Keywords: Alkenone, flux; Alkenone, unsaturation index UK'37; Calculated from C37 alkenones (Prahl & Wakeham, 1987); Center for Marine Environmental Sciences; CVOO-3; DATE/TIME; Date/time end; DEPTH, water; Duration, number of days; Eastern Tropical North Atlantic; MARUM; Sample code/label; Sea surface temperature seasonality; SST calculated from alkenones; Trap, sediment; TRAPS
    Type: Dataset
    Format: text/tab-separated-values, 49 data points
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  • 8
    Publication Date: 2023-06-26
    Keywords: Center for Marine Environmental Sciences; Coccolithophoridae cell, flux; CVOO-3; DATE/TIME; Date/time end; DEPTH, water; Diatom valves, flux; Duration, number of days; Eastern Tropical North Atlantic; Emiliania huxleyi, flux; Florisphaera profunda, flux; Foraminifera, planktic, flux; Globigerinoides ruber, flux; Globigerinoides sacculifer, flux; Globorotalia menardii, flux; MARUM; Pteropoda, flux; Ratio; Sample code/label; Trap, sediment; TRAPS
    Type: Dataset
    Format: text/tab-separated-values, 223 data points
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  • 9
    Publication Date: 2023-06-26
    Keywords: Biogenic silica, particulate, flux per day; Calcium carbonate, flux of total flux; Carbon, carbonate, particulate, flux; Carbon, organic, particulate, flux; Carbon, organic, particulate, flux of total flux; Carbon/Nitrogen ratio; Center for Marine Environmental Sciences; CVOO-3; DATE/TIME; Date/time end; DEPTH, water; Duration, number of days; Eastern Tropical North Atlantic; Lithogenic, flux; Lithogenic, flux of total flux; MARUM; Nitrogen, flux of total flux; Nitrogen, total, flux; Opal, flux of total flux; Sample code/label; Total mass, flux per day; Trap, sediment; TRAPS; δ15N
    Type: Dataset
    Format: text/tab-separated-values, 542 data points
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  • 10
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    PANGAEA
    In:  Supplement to: Hoving, Henk-Jan T; Christiansen, Svenja; Fabrizius, Eduard; Hauss, Helena; Kiko, Rainer; Linke, Peter; Neitzel, Philipp; Piatkowski, Uwe; Körtzinger, Arne (2019): The Pelagic In situ Observation System (PELAGIOS) to reveal biodiversity, behavior, and ecology of elusive oceanic fauna. Ocean Science, 15(5), 1327-1340, https://doi.org/10.5194/os-15-1327-2019
    Publication Date: 2023-06-12
    Description: The data involves annotations with the MBARI VARS annotation software of pelagic HD video transects obtained by the pelagic in situ observations system PELAGIOS. PELAGIOS is a newly developed towed camera system for deep-sea biological exploration and performance of video transects for diversity and distribution data. The data was collected in 2015 during cruise MSM49 on R/V MARIA S. MERIAN, from 20 to 950 m, during day (187 minutes) and night (292 minutes) transects on the northwestern slope of Senghor Seamount (17°14.2'N, 22°00.7'W; bottom depth of approximately 1000 m). The annotated organisms include fishes, crustaceans and gelatinous zooplankton. One file includes the transect length at each depth at day or night and another file has all individual annotated taxa observed at a particular depth at day or night. The Figure 4 is made with this data. A third file involves the data we used to make Figure 3 which is the comparison between the observations of Poeobius observed in PELAGIOS and UVP5 to calculate sample volume.
    Keywords: deep-sea organisms; gelatinous zooplankton; HD video annotation; PELAGIOS; towed camera system
    Type: Dataset
    Format: application/zip, 3 datasets
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