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  • 2020-2024  (55)
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  • 1
    Keywords: Forschungsbericht
    Type of Medium: Online Resource
    Pages: 1 Online-Ressource (62 Seiten, 18,41 MB) , Diagramme, Illustrationen, Karten
    Language: German
    Note: Literaturverzeichnis: Seite 54-60 , Förderkennzeichen BMBF 03F0824C , Verbundnummer 01184704 , Paralleltitel dem englischen Berichtsblatt entnommen , Unterschiede zwischen dem gedruckten Dokument und der elektronischen Ressource können nicht ausgeschlossen werden , Sprache der Zusammenfassungen: Deutsch, Englisch
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  • 2
    Online Resource
    Online Resource
    Kiel : Universitätsbibliothek Kiel
    Keywords: Hochschulschrift
    Type of Medium: Online Resource
    Pages: 1 Online-Ressource (ix, 208 Seiten) , Illustrationen, Diagramme
    DDC: 551.462
    Language: English
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  • 3
    Keywords: Forschungsbericht ; Agulhasstrom ; Klima ; Modell
    Type of Medium: Online Resource
    Pages: 1 Online-Ressource (15 Seiten, 11,35 MB) , Illustrationen, Diagramme
    Language: German
    Note: Förderkennzeichen BMBF 03F0796A , Verbundnummer 01183026
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  • 4
    Publication Date: 2023-11-14
    Description: Agulhas leakage, the warm and salty inflow of Indian Ocean water into the Atlantic Ocean, is of importance for the climate-relevant Atlantic Meridional Overturning Circulation. South of Africa, the eastward turning Agulhas Current sheds Agulhas rings, cyclones and filaments of order 100 km that carry the Indian Ocean water into the Cape Basin and further into the Atlantic. Here, we show that the resolution of submesoscale flows of order 10 km in an ocean model leads to 40 % more Agulhas leakage and more realistic Cape Basin water-masses compared to a parallel non-submesoscale resolving simulation. Moreover, we show that submesoscale flows strengthen shear-edge eddies and in consequence lee cyclones at the northern edge of the Agulhas Current, as well as the leakage pathway in the region of the filaments that takes place outside of mesoscale eddies. This indicates that the increase in leakage can be attributed to stronger Agulhas filaments, when submesoscale flows are resolved.
    Description: Leakage of warm, salty waters from the Indian Ocean into the Atlantic increases by up to 40 % in high-resolution numerical ocean model simulations, suggesting that low-resolution models underestimate this key part of the global meridional overturning circulation.
    Description: Agence Nationale de la Recherche (French National Research Agency) https://doi.org/10.13039/501100001665
    Description: https://hdl.handle.net/20.500.12085/c572cde8-a82c-4c2d-9bd7-288dfc8f1939
    Description: https://www.aoml.noaa.gov/phod/gdp/data.php
    Description: https://resources.marine.copernicus.eu/?option=com_csw&view=details&product_id=GLOBAL_REANALYSIS_PHY_001_030
    Description: https://resources.marine.copernicus.eu/?option=com_csw&view=details&product_id=SEALEVEL_GLO_PHY_L4_REP_OBSERVATIONS_008_047
    Keywords: ddc:551.46 ; Climate and Earth system modelling ; Physical oceanography
    Language: English
    Type: doc-type:article
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  • 5
    Publication Date: 2023-03-25
    Description: Connectivity is a fundamental process driving the persistence of marine populations and their adaptation potential in response to environmental change. In this study, we analysed the population genetics of two morphologically highly similar deep-sea sponge clades (Phakellia hirondellei and the 'Topsentia-and-Petromica (TaP)' clade) at three locations in the Cantabrian Sea. Sponge taxonomy was assessed by spicule analyses, as well as by 18S sequencing and COI sequencing. The corresponding host microbiome was analysed by 16S rRNA gene sequencing. In addition we set up an oceanographic modelling framework, for which we used seawater flow cytometry data (derived from bottom depths of CTD casts) as ground-truthing data.
    Keywords: Accession number, genetics; amplicon sequencing; Angeles Alvarino; Area/locality; Bacteria; Bay of Biscay; CTD/Rosette; CTD1; CTD10; CTD11; CTD12; CTD13; CTD14; CTD15; CTD2; CTD3; CTD4; CTD5; CTD6; CTD7; CTD8; CTD9; CTD-RO; Date/Time of event; Deep-sea Sponge Grounds Ecosystems of the North Atlantic; DEPTH, water; DR10; DR15; DR4; DR7; DR9; Dredge, rock; DRG_R; Event label; flow cytometry; Flow cytometry; Geology, comment; Latitude of event; Longitude of event; Measurement conducted; Method/Device of event; Phytoplankton; population genetics; Porifera; Sample code/label; Sample ID; single-nucleotide polymorphisms (SNPs); SponGES; SponGES_0617; SPONGES_0617_04-DR4; SPONGES_0617_07-CTD1; SPONGES_0617_12-CTD2; SPONGES_0617_13-CTD3; SPONGES_0617_15-DR7; SPONGES_0617_18-CTD4; SPONGES_0617_19-CTD5; SPONGES_0617_23-DR9; SPONGES_0617_24-CTD6; SPONGES_0617_27-CTD7; SPONGES_0617_28-DR10; SPONGES_0617_29-CTD8; SPONGES_0617_40-CTD9; SPONGES_0617_42-CTD10; SPONGES_0617_46-CTD11; SPONGES_0617_49-CTD12; SPONGES_0617_55-CTD13; SPONGES_0617_58-CTD14; SPONGES_0617_60-DR15; SPONGES_0617_61-CTD15
    Type: Dataset
    Format: text/tab-separated-values, 550 data points
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  • 6
    Publication Date: 2024-04-20
    Description: This data set presents the results of an automated cluster analysis using Gaussian mixture models of the entire Atlantic seafloor environment. The analysis was based on eight global datasets and their derivatives: Bathymetry, slope, terrain ruggedness index, topographic position index, sediment thickness, POC flux, salinity, dissolved oxygen, temperature, current velocity, and phytoplankton abundance in surface waters along with seasonal variabilities (see Source data set). We obtained nine seabed areas (SBAs) that portray the Atlantic seafloor that are shown as polygons in the data set. The attribute table holds short descriptions of each SBA as well as about the colours used in the accompanying paper publication. Data sets like this can be used for further analysis like e.g. for landscape ecology metrics to identify regions of interest. The compressed file further contains a style file that can be used to directly load the correct style in the QGIS software package.
    Keywords: Atlantic; Atlantic_Ocean_Seabed_Areas; Atlantic Ocean; Binary Object; Binary Object (File Size); Classification; cluster analysis; Cluster analysis; ecology metrics; File content; Horizontal datum; iAtlantic; Integrated Assessment of Atlantic Marine Ecosystems in Space and Time; landscape; landscape metrics; Latitude, northbound; Latitude, southbound; Longitude, eastbound; Longitude, westbound; multivariate; seafloor; Vertical datum
    Type: Dataset
    Format: text/tab-separated-values, 10 data points
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  • 7
    Publication Date: 2024-04-20
    Description: These data aim at evaluating the hypothesis of long-distance dispersal across the North Atlantic and the Equatorial Atlantic belt for the cold seep mussels Gigantidas childressi, G. mauritanicus, Bathymodiolus heckerae and B. boomerang. We combined mitochondrial Cox1 barcoding of some mussel specimens from both sides of the Atlantic (American vs European/African margins) with larval dispersal trajectories simulated from the VIKING20X model of the Atlantic circulation at a spatial scale not yet investigated. Larval dispersal modelling data correspond to transports of larvae over one year in surface waters from 21 geographic localities over 5 consecutive years (2015, 2016, 2017, 2018 and 2019) and 5 spawning dates (November, December, January, February and March) per year. Genetic data correspond to the geo-referenced sequences obtained for the 4 mussel species from some of the localities where larvae have been released during the modelling approach.
    Keywords: Analysis; Atlantic; Atlantic_Larval_Dispersal_Modelling_Experiment; Barbados_Prism_Kick_em_Jenny_crater_(KJC); Barbados_Prism_Trinidad_prism_(TRI); Barbados Prism; Bathymodiolus; Binary Object; Binary Object (File Size); Binary Object (Media Type); Cold seeps; DATE/TIME; ELEVATION; Equatorial Atlantic belt; Event label; EXP; Experiment; Experiment duration; File content; Gigantidas; Gulf_of_Guinea_Guiness_(GUIN); Gulf_of_Guinea_Nigeria_margin_(NM); Gulf_of_Guinea_West_Africa_margin_(WAM); Gulf_of_Mexico_Alaminos_Canyon_(AC); Gulf_of_Mexico_Brine_Pool_(BP); Gulf_of_Mexico_Louisiana_Slope_(LS); Gulf of Guinea; Gulf of Mexico; iAtlantic; Integrated Assessment of Atlantic Marine Ecosystems in Space and Time; larval dispersal; LATITUDE; Location; LONGITUDE; Mid-Atlantic_Ridge_Logatchev_seeps_(LOG); Mid-Atlantic Ridge; Model; Mussel; N_Mid-Atlantic_Ridge_Atlantis_Fracture_Zone_(LOST); NE_Atlantic_margin_Gulf_of_Cadiz_(GC); NE_Atlantic_margin_SWIM_fault_(SWIM); NE Atlantic margin; North_Brazil_margin_Amazon_fan_(AM); North Atlantic; North Brazil margin; North Mid-Atlantic Ridge; Ocean and sea region; Particles; South_Brazil_margin_Sao_Paulo_1_(SP); South_Brazil_margin_Sao_Paulo_2_(SPD); South Brazil margin; Speed, swimming; Temperature, water; US_Atlantic_Margin_Baltimore_Canyon_(BC); US_Atlantic_Margin_Bodie_Island_(BI); US_Atlantic_Margin_New_England_(NE); US_Atlantic_Margin_Norfolk_Canyon_(NC); US Atlantic Margin; West_Africa_Margin_Arguin_bank_(ARG); West_Africa_Margin_Cadamostro_Seamount_(CS); West Africa Margin
    Type: Dataset
    Format: text/tab-separated-values, 5252 data points
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  • 8
    Publication Date: 2024-04-20
    Description: A projection of larval dispersal patterns of Atlantic cold seep mussels Gigantidas childressi, G. mauritanicus, Bathymodiolus heckerae and B. boomerang was carried out for the next 50 years under the constraint of global warming predicted by the IPCC for the most pessismistic scenario. Simulations were run at +00 years, +25 years and +50 years from initial years of 2014 to 2019 (+00Y) at 21 locations on the US, European and African coasts using the VIKING20X model, in which the Atlantic water temperatures predicted by the FOCI model were forced to the future dates. The dataset consists of a number of 5775 simulations carried out over 5 years X 5 spawning dates per prediction period (+00Y, +25Y, +50Y) with, for predictions at +25Y and +50Y, a repetition of simulations per quantile (0.025, 0.16, 0.5, 0.67 and 0.975) to take into account for the most extreme variations in water mass temperatures predicted by the FOCI model for a given date.
    Keywords: Analysis; Atlantic; Atlantic_Larval_Dispersal_Modelling_Experiment; Barbados_Prism_Kick_em_Jenny_crater_(KJC); Barbados_Prism_Trinidad_prism_(TRI); Barbados Prism; Bathymodiolus; Binary Object; Binary Object (File Size); Binary Object (Media Type); Climate change predictions; DATE/TIME; ELEVATION; Event label; EXP; Experiment; Experiment duration; File content; Gigantidas; Gulf_of_Guinea_Guiness_(GUIN); Gulf_of_Guinea_Nigeria_margin_(NM); Gulf_of_Guinea_West_Africa_margin_(WAM); Gulf_of_Mexico_Alaminos_Canyon_(AC); Gulf_of_Mexico_Brine_Pool_(BP); Gulf_of_Mexico_Louisiana_Slope_(LS); Gulf of Guinea; Gulf of Mexico; iAtlantic; Index; Integrated Assessment of Atlantic Marine Ecosystems in Space and Time; larval dispersal modelling; LATITUDE; Location; LONGITUDE; Mid-Atlantic_Ridge_Logatchev_seeps_(LOG); Mid-Atlantic Ridge; Model; N_Mid-Atlantic_Ridge_Atlantis_Fracture_Zone_(LOST); NE_Atlantic_margin_Gulf_of_Cadiz_(GC); NE_Atlantic_margin_SWIM_fault_(SWIM); NE Atlantic margin; North_Brazil_margin_Amazon_fan_(AM); North Brazil margin; North Mid-Atlantic Ridge; Ocean and sea region; Particles; Quantile; Regime; seep mussels; South_Brazil_margin_Sao_Paulo_1_(SP); South_Brazil_margin_Sao_Paulo_2_(SPD); South Brazil margin; Speed, swimming; Temperature, water; US_Atlantic_Margin_Baltimore_Canyon_(BC); US_Atlantic_Margin_Bodie_Island_(BI); US_Atlantic_Margin_New_England_(NE); US_Atlantic_Margin_Norfolk_Canyon_(NC); US Atlantic Margin; VIKING20X; West_Africa_Margin_Arguin_bank_(ARG); West_Africa_Margin_Cadamostro_Seamount_(CS); West Africa Margin
    Type: Dataset
    Format: text/tab-separated-values, 74550 data points
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  • 9
    Publication Date: 2023-09-28
    Description: A special focus in data mining is to identify agglomerations of data points in spatial or spatio-temporal databases. Multiple applications have been presented to make use of such clustering algorithms. However, applications exist, where not only dense areas have to be identified, but also requirements regarding the correlation of the cluster to a specific shape must be met, i.e. circles. This is the case for eddy detection in marine science, where eddies are not only specified by their density, but also their circular-shaped rotation. Traditional clustering algorithms lack the ability to take such aspects into account. In this paper, we introduce Vortex Correlation Clustering which aims to identify those correlated groups of objects oriented along a vortex. This can be achieved by adapting the Circle Hough Transformation, already known from image analysis. The presented adaptations not only allow to cluster objects depending on their location next to each other, but also allows to take the orientation of individual objects into considerations. This allows for a more precise clustering of objects. A multi-step approach allows to analyze and aggregate cluster candidates, to also include final clusters, which do not perfectly satisfy the shape condition. We evaluate our approach upon a real world application, to cluster particle simulations composing such shapes. Our approach outperforms comparable methods of clustering for this application both in terms of effectiveness and efficiency.
    Type: Conference or Workshop Item , NonPeerReviewed
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  • 10
    Publication Date: 2023-02-08
    Description: A new Earth system model, the Flexible Ocean and Climate Infrastructure (FOCI), is introduced. A first version of FOCI consists of a global high-top atmosphere (ECHAM6.3) and an ocean model (NEMO3.6) as well as sea ice (LIM2) and land surface model components (JSBACH), which are coupled through the OASIS3-MCT software package. FOCI includes a number of optional modules which can be activated depending on the scientific question of interest. In the atmosphere, interactive stratospheric chemistry can be used (ECHAM6-HAMMOZ) to study, for example, the effects of the ozone hole on the climate system. In the ocean, a biogeochemistry model (MOPS) is available to study the global carbon cycle. A unique feature of FOCI is the ability to explicitly resolve mesoscale ocean eddies in specific regions. This is realized in the ocean through nesting; first examples for the Agulhas Current and the Gulf Stream systems are described here. FOCI therefore bridges the gap between coarse-resolution climate models and global high-resolution weather prediction and ocean-only models. It allows to study the evolution of the climate system on regional and seasonal to (multi-) decadal scales. The development of FOCI resulted from a combination of the long-standing expertise in ocean and climate modeling in several research units and divisions at GEOMAR. FOCI will thus be used to complement and interpret long-term observations in the Atlantic, enhance the process understanding of the role of mesoscale oceanic eddies for large-scale oceanic and atmospheric circulation patterns, study feedback mechanisms with stratospheric processes, estimate future ocean acidification, improve the simulation of the Atlantic Meridional Overturning Circulation changes and their influence on climate, ocean chemistry and biology. In this paper we present both the scientific vision for the development of FOCI as well as some technical details. This includes a first validation of the different model components using several configurations of FOCI. Results show that the model in its basic configuration runs stably under pre-industrial control as well as under historical forcing, and produces a mean climate and variability which compares well with observations, reanalysis products and other climate models. The nested configurations reduce some long-standing biases in climate models and are an important step forward to include the atmospheric response in multi-decadal eddy-rich configurations.
    Type: Article , PeerReviewed
    Format: text
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