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  • Climate - Biogeochemistry Interactions in the Tropical Ocean; File content; File format; File name; File size; Model; Sea-turtle_model; SFB754; Uniform resource locator/link to model result file  (1)
  • Denmark Strait  (1)
  • Lagrangian analysis
  • 2015-2019  (3)
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  • 2015-2019  (3)
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  • 1
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    PANGAEA
    In:  Supplement to: Scott, Rebecca; Biastoch, Arne; Agamboue, Pierre D; Bayer, Till; Boussamba, Francois L; Formia, Angela; Godley, Brendan J; Mabert, Brice D K; Manfoumbi, Jean C; Schwarzkopf, Franziska; Sounguet, Guy-Philippe; Wagner, Patrick; Witt, Matthew J (2017): Spatio-temporal variation in ocean current-driven hatchling dispersion: Implications for the world's largest leatherback sea turtle nesting region. Diversity and Distributions, https://doi.org/10.1111/ddi.12554
    Publication Date: 2023-10-28
    Description: This data set describes the location of virtual floats representing turtle hatchlings throughout 60 modeled years. Floats were constrained to remain within depths of 0-6 m due to the positive buoyancy of hatchlings. Floats were first assigned to one of 20,000 random release locations within a large release area 125-400 km offshore from nesting beaches throughout the Republic/Democratic Republic of the Congo, Gabon and Equatorial Guinea spanning latitudes of c. 6°S to 3.5°N. For each month over the 4-month long hatching season (January-April), each of the 20,000 floats was assigned a random release day and drift simulations ran every year during the period 1960-2007 resulting in drift trajectories of approx. 4 million virtual floats. See Scott et al., 2017, Spatio-temporal variation in ocean current-driven hatchling dispersion: Implications for the world's largest leatherback sea turtle nesting region. Diversity Distrib, http://dx.doi.org/10.1111%2Fddi.12554 for details as to the model parameters. Each data set consists of data on the float ID (number 1,2,3 etc..) and its trajectory attributes (latitude/longitude) at each time step. Data are also provided on the temperature, salinity and density of the float at its respective position/time step. Data sets are sorted by float release date, and contain one data file for each year. Each data file has 11 columns, which contain the following data: float id, longitude, latitude, depth, time step, temperature, salinity, density, no time steps since start, distance to start point, bearing from start point
    Keywords: Climate - Biogeochemistry Interactions in the Tropical Ocean; File content; File format; File name; File size; Model; Sea-turtle_model; SFB754; Uniform resource locator/link to model result file
    Type: Dataset
    Format: text/tab-separated-values, 60 data points
    Location Call Number Limitation Availability
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  • 2
    Publication Date: 2022-05-26
    Description: © The Author(s), 2017. This article is distributed under the terms of the Creative Commons Attribution License. The definitive version was published in Ocean Modelling 121 (2018): 49-75, doi:10.1016/j.ocemod.2017.11.008.
    Description: Lagrangian analysis is a powerful way to analyse the output of ocean circulation models and other ocean velocity data such as from altimetry. In the Lagrangian approach, large sets of virtual particles are integrated within the three-dimensional, time-evolving velocity fields. Over several decades, a variety of tools and methods for this purpose have emerged. Here, we review the state of the art in the field of Lagrangian analysis of ocean velocity data, starting from a fundamental kinematic framework and with a focus on large-scale open ocean applications. Beyond the use of explicit velocity fields, we consider the influence of unresolved physics and dynamics on particle trajectories. We comprehensively list and discuss the tools currently available for tracking virtual particles. We then showcase some of the innovative applications of trajectory data, and conclude with some open questions and an outlook. The overall goal of this review paper is to reconcile some of the different techniques and methods in Lagrangian ocean analysis, while recognising the rich diversity of codes that have and continue to emerge, and the challenges of the coming age of petascale computing.
    Description: EvS has received funding from the European Research Council (ERC) under the European Unions Horizon 2020 research and innovation programme (grant agreement No 715386). This research for PJW was supported as part of the Energy Exascale Earth System Model (E3SM) project, funded by the U.S. Department of Energy, Office of Science, Office of Biological and Environmental Research. Funding for HFD was provided by Grant No. DE-SC0012457 from the US Department of Energy. PB acknowledges support for this work from NERC grant NE/R011567/1. SFG is supported by NERC National Capability funding through the Extended Ellett Line Programme.
    Keywords: Ocean circulation ; Lagrangian analysis ; Connectivity ; Particle tracking ; Future modelling
    Repository Name: Woods Hole Open Access Server
    Type: Article
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  • 3
    Publication Date: 2022-05-26
    Description: Author Posting. © American Geophysical Union, 2017. 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 122 (2017): 2830–2846, doi:10.1002/2016JC012158.
    Description: The upstream sources and pathways of the Denmark Strait Overflow Water and their variability have been investigated using a high-resolution model hindcast. This global simulation covers the period from 1948 to 2009 and uses a fine model mesh (1/20°) to resolve mesoscale features and the complex current structure north of Iceland explicitly. The three sources of the Denmark Strait Overflow, the shelfbreak East Greenland Current (EGC), the separated EGC, and the North Icelandic Jet, have been analyzed using Eulerian and Lagrangian diagnostics. The shelfbreak EGC contributes the largest fraction in terms of volume and freshwater transport to the Denmark Strait Overflow and is the main driver of the overflow variability. The North Icelandic Jet contributes the densest water to the Denmark Strait Overflow and shows only small temporal transport variations. During summer, the net volume and freshwater transports to the south are reduced. On interannual time scales, these transports are highly correlated with the large-scale wind stress curl around Iceland and, to some extent, influenced by the North Atlantic Oscillation, with enhanced southward transports during positive phases. The Lagrangian trajectories support the existence of a hypothesized overturning loop along the shelfbreak north of Iceland, where water carried by the North Icelandic Irminger Current is transformed and feeds the North Icelandic Jet. Monitoring these two currents and the region north of the Iceland shelfbreak could provide the potential to track long-term changes in the Denmark Strait Overflow and thus also the AMOC.
    Description: Norwegian Research Council Grant Number: 231647
    Description: 2017-10-04
    Keywords: North Atlantic ; Denmark Strait ; Overflow ; Transport variability ; Overturning
    Repository Name: Woods Hole Open Access Server
    Type: Article
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