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  • AMOC  (1)
  • 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  (1)
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  • 1
    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
    Location Call Number Limitation Availability
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  • 2
    Publication Date: 2023-02-21
    Description: Author Posting. © American Geophysical Union, 2019. This article is posted here by permission of American Geophysical Union for personal use, not for redistribution. The definitive version was published in Journal of Geophysical Research-Oceans 124(8), (2019): 5313-5335, doi:10.1029/2019JC015014.
    Description: The Lagrangian method—where current location and intensity are determined by tracking the movement of flow along its path—is the oldest technique for measuring the ocean circulation. For centuries, mariners used compilations of ship drift data to map out the location and intensity of surface currents along major shipping routes of the global ocean. In the mid‐20th century, technological advances in electronic navigation allowed oceanographers to continuously track freely drifting surface buoys throughout the ice‐free oceans and begin to construct basin‐scale, and eventually global‐scale, maps of the surface circulation. At about the same time, development of acoustic methods to track neutrally buoyant floats below the surface led to important new discoveries regarding the deep circulation. Since then, Lagrangian observing and modeling techniques have been used to explore the structure of the general circulation and its variability throughout the global ocean, but especially in the Atlantic Ocean. In this review, Lagrangian studies that focus on pathways of the upper and lower limbs of the Atlantic Meridional Overturning Circulation (AMOC), both observational and numerical, have been gathered together to illustrate aspects of the AMOC that are uniquely captured by this technique. These include the importance of horizontal recirculation gyres and interior (as opposed to boundary) pathways, the connectivity (or lack thereof) of the AMOC across latitudes, and the role of mesoscale eddies in some regions as the primary AMOC transport mechanism. There remain vast areas of the deep ocean where there are no direct observations of the pathways of the AMOC.
    Description: The authors extend their thanks to Xiaobiao Xu for valuable comments on the first draft of this manuscript. A. B. (WHOI), H. F., M. S. L., N. F., and K. D. were supported by Overturning in the Subpolar North Atlantic Program grants OCE‐1259618, OCE‐1259013, and OCE‐1259102 from the U.S. National Science Foundation. S. Z. was supported by the Climate Program Office of the National Oceanic and Atmospheric Administration under award NA16OAR4310168. M. L. was supported through the MOVE project, funded by NOAA's Global Ocean Monitoring and Observing Program under award NA15OAR4320071. A. B. (GEOMAR) and S. R. received funding from the Cluster of Excellence 80 “The Future Ocean” within the framework of the Excellence Initiative by the Deutsche Forschungsgemeinschaft (DFG) on behalf of the German federal and state governments (grant CP1412) and by the German Federal Ministry of Education and Research (BMBF) for the SPACES projects AGULHAS (grant 03F0750A) and CASISAC (grant 03F0796A). No new data are reported in this project. The data mentioned in the text may be found in repositories cited in each previously published paper cited in this review manuscript.
    Keywords: Floats ; Drifters ; Lagrangian methods ; AMOC ; Atlantic Ocean ; Numerical models
    Repository Name: Woods Hole Open Access Server
    Type: Article
    Location Call Number Limitation Availability
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