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  • 1
    Publication Date: 2019-02-01
    Description: Since 2010, an intense effort in the collection of in situ observations has been carried out in the northwestern Mediterranean Sea thanks to gliders, profiling floats, regular cruises, and mooring lines. This integrated observing system enabled a year-to-year monitoring of the deep waters formation that occurred in the Gulf of Lions area during four consecutive winters (2010–2013). Vortical structures remnant of wintertime deep vertical mixing events were regularly sampled by the different observing platforms. These are Submesoscale Coherent Vortices (SCVs) characterized by a small radius (∼5–8 km), strong depth-intensified orbital velocities (∼10–20 cm s−1) with often a weak surface signature, high Rossby (∼0.5) and Burger numbers O(0.5–1). Anticyclones transport convected waters resulting from intermediate (∼300 m) to deep (∼2000 m) vertical mixing. Cyclones are characterized by a 500–1000 m thick layer of weakly stratified deep waters (or bottom waters that cascaded from the shelf of the Gulf of Lions in 2012) extending down to the bottom of the ocean at ∼2500 m. The formation of cyclonic eddies seems to be favored by bottom-reaching convection occurring during the study period or cascading events reaching the abyssal plain. We confirm the prominent role of anticyclonic SCVs and shed light on the important role of cyclonic SCVs in the spreading of a significant amount (∼30%) of the newly formed deep waters away from the winter mixing areas. Since they can survive until the following winter, they can potentially have a great impact on the mixed layer deepening through a local preconditioning effect.
    Type: Article , PeerReviewed , info:eu-repo/semantics/article
    Format: text
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  • 2
    Publication Date: 2024-03-25
    Description: Total alkalinity (AT) and dissolved inorganic carbon (CT) in the oceans are important properties with respect to understanding the ocean carbon cycle and its link to global change (ocean carbon sinks and sources, ocean acidification) and ultimately finding carbon-based solutions or mitigation procedures (marine carbon removal). We present a database of more than 44 400 AT and CT observations along with basic ancillary data (spatiotemporal location, depth, temperature and salinity) from various ocean regions obtained, mainly in the framework of French projects, since 1993. This includes both surface and water column data acquired in the open ocean, coastal zones and in the Mediterranean Sea and either from time series or dedicated one-off cruises. Most AT and CT data in this synthesis were measured from discrete samples using the same closed-cell potentiometric titration calibrated with Certified Reference Material, with an overall accuracy of ±4 µmol kg−1 for both AT and CT. The data are provided in two separate datasets – for the Global Ocean and the Mediterranean Sea (https://doi.org/10.17882/95414, Metzl et al., 2023), respectively – that offer a direct use for regional or global purposes, e.g., AT–salinity relationships, long-term CT estimates, and constraint and validation of diagnostic CT and AT reconstructed fields or ocean carbon and coupled climate–carbon models simulations as well as data derived from Biogeochemical-Argo (BGC-Argo) floats. When associated with other properties, these data can also be used to calculate pH, the fugacity of CO2 (fCO2) and other carbon system properties to derive ocean acidification rates or air–sea CO2 fluxes.
    Type: Article , PeerReviewed
    Format: text
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  • 3
    Publication Date: 2024-04-18
    Description: Marine particles of different nature are found throughout the global ocean. The term "marine particles" describes detritus aggregates and fecal pellets as well as bacterioplankton, phytoplankton, zooplankton and nekton. Here, we present a global particle size distribution dataset obtained with several Underwater Vision Profiler 5 (UVP5) camera systems. Overall, within the 64 mu m to about 50 mm size range covered by the UVP5, detrital particles are the most abundant component of all marine particles; thus, measurements of the particle size distribution with the UVP5 can yield important information on detrital particle dynamics. During deployment, which is possible down to 6000 m depth, the UVP5 images a volume of about 1 L at a frequency of 6 to 20 Hz. Each image is segmented in real time, and size measurements of particles are automatically stored. All UVP5 units used to generate the dataset presented here were inter-calibrated using a UVP5 high-definition unit as reference. Our consistent particle size distribution dataset contains 8805 vertical profiles collected between 19 June 2008 and 23 November 2020. All major ocean basins, as well as the Mediterranean Sea and the Baltic Sea, were sampled. A total of 19 % of all profiles had a maximum sampling depth shallower than 200 dbar, 38 % sampled at least the upper 1000 dbar depth range and 11 % went down to at least 3000 dbar depth. First analysis of the particle size distribution dataset shows that particle abundance is found to be high at high latitudes and in coastal areas where surface productivity or continental inputs are elevated. The lowest values are found in the deep ocean and in the oceanic gyres. Our dataset should be valuable for more in-depth studies that focus on the analysis of regional, temporal and global patterns of particle size distribution and flux as well as for the development and adjustment of regional and global biogeochemical models. The marine particle size distribution dataset (Kiko et al., 2021) is available at https://doi.org/10.1594/PANGAEA.924375.
    Type: Article , PeerReviewed , info:eu-repo/semantics/article
    Format: text
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  • 4
    Publication Date: 2023-02-24
    Keywords: CM; CMTT; Current direction; Current meter; Current velocity, east-west; Current velocity, horizontal; Current velocity, north-south; DATE/TIME; DEPTH, water; EURODELTA; European Co-ordination on Mediterranean and Black Sea Prodeltas; FI351997450210; FI35199745022_MTPII-MATER; HFF-M-PC; HFF-Pieges2; Recording current meter, Aanderaa Data Instruments, RCM4S; Temperature, water; Tethys
    Type: Dataset
    Format: text/tab-separated-values, 8045 data points
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  • 5
    Publication Date: 2023-05-12
    Keywords: CTD, Falmouth Scientific Instruments; CTD, FSI; Date/Time of event; DEPTH, water; Elevation of event; EURODELTA; EuroMarge; EuroMarge_00010_CTD; EuroMarge_00020_CTD; EuroMarge_00030_CTD; EuroMarge_00040_CTD; EuroMarge_00050_CTD; EuroMarge_00060_CTD; EuroMarge_00070_CTD; EuroMarge_00080_CTD; EuroMarge_00090_CTD; EuroMarge_00100_CTD; EuroMarge_00110_CTD; EuroMarge_00120_CTD; EuroMarge_00130_CTD; EuroMarge_00140_CTD; EuroMarge_00150_CTD; EuroMarge_00160_CTD; EuroMarge_00170_CTD; EuroMarge_00180_CTD; EuroMarge_00190_CTD; EuroMarge_00200_CTD; EuroMarge_00210_CTD; EuroMarge_00220_CTD; EuroMarge_00230_CTD; EuroMarge_00240_CTD; EuroMarge_00250_CTD; EuroMarge_00260_CTD; EuroMarge_00270_CTD; EuroMarge_00280_CTD; EuroMarge_00290_CTD; EuroMarge_00300_CTD; EuroMarge_00310_CTD; EuroMarge_00320_CTD; EuroMarge_00330_CTD; EuroMarge_00340_CTD; EuroMarge_00350_CTD; EuroMarge_00360_CTD; EuroMarge_00370_CTD; EuroMarge_00380_CTD; EuroMarge_00390_CTD; EuroMarge_00400_CTD; EuroMarge_00410_CTD; EuroMarge_00420_CTD; EuroMarge_00430_CTD; EuroMarge_00440_CTD; EuroMarge_00450_CTD; EuroMarge_00460_CTD; EuroMarge_00470_CTD; EuroMarge_00480_CTD; EuroMarge_00490_CTD; EuroMarge_00500_CTD; EuroMarge_00510_CTD; EuroMarge_00520_CTD; EuroMarge_00530_CTD; EuroMarge_00540_CTD; EuroMarge_00550_CTD; EuroMarge_00560_CTD; EuroMarge_00570_CTD; EuroMarge_00580_CTD; EuroMarge_00590_CTD; EuroMarge_00600_CTD; EuroMarge_00610_CTD; EuroMarge_00620_CTD; EuroMarge_00630_CTD; EuroMarge_00640_CTD; EuroMarge_00650_CTD; EuroMarge_00660_CTD; EuroMarge_00670_CTD; EuroMarge_00680_CTD; EuroMarge_00690_CTD; EuroMarge_00700_CTD; EuroMarge_00710_CTD; EuroMarge_00720_CTD; EuroMarge_00730_CTD; EuroMarge_00740_CTD; EuroMarge_00750_CTD; EuroMarge_00760_CTD; EuroMarge_00770_CTD; EuroMarge_00780_CTD; EuroMarge_00790_CTD; EuroMarge_00800_CTD; EuroMarge_00810_CTD; EuroMarge_00820_CTD; EuroMarge_00830_CTD; EuroMarge_00840_CTD; EuroMarge_00850_CTD; EuroMarge_00860_CTD; EuroMarge_00870_CTD; EuroMarge_00880_CTD; EuroMarge_00890_CTD; EuroMarge_00900_CTD; EuroMarge_00910_CTD; EuroMarge_00920_CTD; EuroMarge_00930_CTD; EuroMarge_00940_CTD; EuroMarge_00950_CTD; EuroMarge_00960_CTD; EuroMarge_00970_CTD; EuroMarge_00980_CTD; EuroMarge_01000_CTD; EuroMarge_01010_CTD; EuroMarge_01020_CTD; EuroMarge_01030_CTD; EuroMarge_01040_CTD; EuroMarge_01050_CTD; EuroMarge_01060_CTD; EuroMarge_01080_CTD; EuroMarge_01090_CTD; EuroMarge_01100_CTD; EuroMarge_01110_CTD; EuroMarge_01120_CTD; EuroMarge_01130_CTD; EuroMarge_01140_CTD; EuroMarge_01620_CTD; European Co-ordination on Mediterranean and Black Sea Prodeltas; Event label; FI35199502002; FI3519950200200010_NB-MTP; FI3519950200200020_NB-MTP; FI3519950200200030_NB-MTP; FI3519950200200040_NB-MTP; FI3519950200200050_NB-MTP; FI3519950200200060_NB-MTP; FI3519950200200070_NB-MTP; FI3519950200200080_NB-MTP; FI3519950200200090_NB-MTP; FI3519950200200100_NB-MTP; FI3519950200200110_NB-MTP; FI3519950200200120_NB-MTP; FI3519950200200130_NB-MTP; FI3519950200200140_NB-MTP; FI3519950200200150_NB-MTP; FI3519950200200160_NB-MTP; FI3519950200200170_NB-MTP; FI3519950200200180_NB-MTP; FI3519950200200190_NB-MTP; FI3519950200200200_NB-MTP; FI3519950200200210_NB-MTP; FI3519950200200220_NB-MTP; FI3519950200200230_NB-MTP; FI3519950200200240_NB-MTP; FI3519950200200250_NB-MTP; FI3519950200200260_NB-MTP; FI3519950200200270_NB-MTP; FI3519950200200280_NB-MTP; FI3519950200200290_NB-MTP; FI3519950200200300_NB-MTP; FI3519950200200310_NB-MTP; FI3519950200200320_NB-MTP; FI3519950200200330_NB-MTP; FI3519950200200340_NB-MTP; FI3519950200200350_NB-MTP; FI3519950200200360_NB-MTP; FI3519950200200370_NB-MTP; FI3519950200200380_NB-MTP; FI3519950200200390_NB-MTP; FI3519950200200400_NB-MTP; FI3519950200200410_NB-MTP; FI3519950200200420_NB-MTP; FI3519950200200430_NB-MTP; FI3519950200200440_NB-MTP; FI3519950200200450_NB-MTP; FI3519950200200460_NB-MTP; FI3519950200200470_NB-MTP; FI3519950200200480_NB-MTP; FI3519950200200490_NB-MTP; FI3519950200200500_NB-MTP; FI3519950200200510_NB-MTP; FI3519950200200520_NB-MTP; FI3519950200200530_NB-MTP; FI3519950200200540_NB-MTP; FI3519950200200550_NB-MTP; FI3519950200200560_NB-MTP; FI3519950200200570_NB-MTP; FI3519950200200580_NB-MTP; FI3519950200200590_NB-MTP; FI3519950200200600_NB-MTP; FI3519950200200610_NB-MTP; FI3519950200200620_NB-MTP; FI3519950200200630_NB-MTP; FI3519950200200640_NB-MTP; FI3519950200200650_NB-MTP; FI3519950200200660_NB-MTP; FI3519950200200670_NB-MTP; FI3519950200200680_NB-MTP; FI3519950200200690_NB-MTP; FI3519950200200700_NB-MTP; FI3519950200200710_NB-MTP; FI3519950200200720_NB-MTP; FI3519950200200730_NB-MTP; FI3519950200200740_NB-MTP; FI3519950200200750_NB-MTP; FI3519950200200760_NB-MTP; FI3519950200200770_NB-MTP; FI3519950200200780_NB-MTP; FI3519950200200790_NB-MTP; FI3519950200200800_NB-MTP; FI3519950200200810_NB-MTP; FI3519950200200820_NB-MTP; FI3519950200200830_NB-MTP; FI3519950200200840_NB-MTP; FI3519950200200850_NB-MTP; FI3519950200200860_NB-MTP; FI3519950200200870_NB-MTP; FI3519950200200880_NB-MTP; FI3519950200200890_NB-MTP; FI3519950200200900_NB-MTP; FI3519950200200910_NB-MTP; FI3519950200200920_NB-MTP; FI3519950200200930_NB-MTP; FI3519950200200940_NB-MTP; FI3519950200200950_NB-MTP; FI3519950200200960_NB-MTP; FI3519950200200970_NB-MTP; FI3519950200200980_NB-MTP; FI3519950200201000_NB-MTP; FI3519950200201010_NB-MTP; FI3519950200201020_NB-MTP; FI3519950200201030_NB-MTP; FI3519950200201040_NB-MTP; FI3519950200201050_NB-MTP; FI3519950200201060_NB-MTP; FI3519950200201080_NB-MTP; FI3519950200201090_NB-MTP; FI3519950200201100_NB-MTP; FI3519950200201110_NB-MTP; FI3519950200201120_NB-MTP; FI3519950200201130_NB-MTP; FI3519950200201140_NB-MTP; FI3519950200201620_NB-MTP; Fluorescence, chlorophyll; ICTD; JGOFS methods; Latitude of event; Le Suroît; Light attenuation coefficient; Longitude of event; Pressure, water; Salinity; Temperature, water; Transmission of light; Turbidity (Formazin Turbidity Unit)
    Type: Dataset
    Format: text/tab-separated-values, 329377 data points
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  • 6
    facet.materialart.
    Unknown
    PANGAEA
    In:  Supplement to: Lapouyade, Agnès; Durrieu de Madron, Xavier (2001): Seasonal variability of the advective transport of suspended particulate matter and organic carbon in the Gulf of Lions (NW Mediterranean). Oceanologica Acta, 24(3), 295-312, https://doi.org/10.1016/S0399-1784(01)01148-3
    Publication Date: 2023-05-12
    Description: Nine hydrographic cruises were performed on the Gulf of Lion continental margin between June 1993 and July 1996. These observations are analysed to quantify the fluxes of particulate matter and organic carbon transported along the slope by the Northern Current and to characterise their seasonal variability. Concentration of particulate matter and organic carbon are derived from light-transmission data and water sample analyses. The circulation is estimated from the geostrophic current field. The uncertainty on the transport estimate, related to the error on the prediction of particle concentrations from light-transmission data and the error on velocities, is assessed. The particulate matter inflow entering the Gulf of Lion off Marseille is comparable to the Rhône River input and varies seasonally with a maximum transport between autumn and spring. These modifications result from variations of the water flux rather than variations of the particulate matter concentration. Residual transports of particulate matter and organic carbon across the entire Gulf of Lion are calculated for two cruises enclosing the domain that were performed in February 1995 and July 1996. The particulate matter budgets indicate a larger export from the shelf to deep ocean in February 1995 (110 ± 20 kg/s) than in July 1996 (25 ± 18 kg/s). Likewise, the mean particulate organic carbon export is 12.8 ± 0.5 kg/s in February 1995 and 0.8 ± 0.2 kg/s in July 1996. This winter increase is due to larger allochthonous and autochthonous inputs and also to enhanced shelf–slope exchange processes, in particular the cascading of cold water from the shelf. The export of particulate matter by the horizontal currents is moreover two orders of magnitude larger than the vertical particulate fluxes measured at the same time with sediment traps on the continental slope.
    Keywords: CMTT; EURODELTA; European Co-ordination on Mediterranean and Black Sea Prodeltas
    Type: Dataset
    Format: application/zip, 41 datasets
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  • 7
    Publication Date: 2023-05-12
    Keywords: CM; CMTT; Current direction; Current meter; Current velocity, east-west; Current velocity, horizontal; Current velocity, north-south; DATE/TIME; DEPTH, water; EURODELTA; European Co-ordination on Mediterranean and Black Sea Prodeltas; FI351997450210; FI35199745022_MTPII-MATER; HFF-M-PC; HFF-Pieges2; Pressure, water; Recording current meter, Aanderaa Data Instruments, RCM7; Temperature, water; Tethys
    Type: Dataset
    Format: text/tab-separated-values, 9654 data points
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  • 8
    Publication Date: 2023-05-12
    Keywords: CM; CMTT; Current direction; Current meter; Current velocity, east-west; Current velocity, horizontal; Current velocity, north-south; DATE/TIME; DEPTH, water; EURODELTA; European Co-ordination on Mediterranean and Black Sea Prodeltas; FI35199745021_MTPII-MATER; FI351997450210; HFF-Pieges2; HFF-Pieges2-M2; Pressure, water; Recording current meter, Aanderaa Data Instruments, RCM7; Temperature, water; Tethys
    Type: Dataset
    Format: text/tab-separated-values, 26778 data points
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  • 9
    Publication Date: 2023-05-12
    Keywords: CM; CMTT; Current direction; Current meter; Current velocity, east-west; Current velocity, horizontal; Current velocity, north-south; DATE/TIME; DEPTH, water; FI35199745021_MTPII-MATER; FI351997450210; HFF-Pieges2; HFF-Pieges2-M1; Pressure, water; Recording current meter, Aanderaa Data Instruments, RCM7; Temperature, water; Tethys
    Type: Dataset
    Format: text/tab-separated-values, 25944 data points
    Location Call Number Limitation Availability
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  • 10
    Publication Date: 2023-05-12
    Keywords: CM; CMTT; Current direction; Current meter; Current velocity, east-west; Current velocity, horizontal; Current velocity, north-south; DATE/TIME; DEPTH, water; EURODELTA; European Co-ordination on Mediterranean and Black Sea Prodeltas; FI35199745021_MTPII-MATER; FI351997450210; HFF-Pieges2; HFF-Pieges2-M5; Pressure, water; Recording current meter, Aanderaa Data Instruments, RCM7; Temperature, water; Tethys
    Type: Dataset
    Format: text/tab-separated-values, 27216 data points
    Location Call Number Limitation Availability
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