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    Evaluating the leeway coefficient of ocean drifters using operational marine environmental prediction systems

    Source: Journal of Atmospheric and Oceanic Technology:;2020:;volume( ):;issue: -::page 1
    Author:
    Sutherland, Graig;Soontiens, Nancy;Davidson, Fraser;Smith, Gregory C.;Bernier, Natacha;Blanken, Hauke;Schillinger, Douglas;Marcotte, Guillaume;Röhrs, Johannes;Dagestad, Knut-Frode;Christensen, Kai H.;Breivik, Øyvind
    DOI: 10.1175/JTECH-D-20-0013.1
    Publisher: American Meteorological Society
    Abstract: The water following characteristics of six different drifter types are investigated using two different operational marine environmental prediction systems: one produced by Environment and Climate Change Canada (ECCC) and the other produced by the Norwegian Meteorological Institute (METNO). These marine prediction systems include ocean circulation models, atmospheric models, and surface wave models. Two leeway models are tested for use in drift object prediction: an implicit leeway model where the Stokes drift is implicit in the leeway coefficient, and an explicit leeway model where the Stokes drift is provided by the wave model. Both leeway coefficients are allowed to vary in direction and time in order to perfectly reproduce the observed drifter trajectory. This creates a time series of the leeway coefficients which exactly reproduce the observed drifter trajectories. Mean values for the leeway coefficients are consistent with previous studies which utilized direct observations of the leeway. For all drifters and models, the largest source of variance in the leeway coefficient occurs at the inertial frequency and the evidence suggests it is related to uncertainties in the ocean inertial currents.
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      Evaluating the leeway coefficient of ocean drifters using operational marine environmental prediction systems

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    http://yetl.yabesh.ir/yetl1/handle/yetl/4264581
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    contributor authorSutherland, Graig;Soontiens, Nancy;Davidson, Fraser;Smith, Gregory C.;Bernier, Natacha;Blanken, Hauke;Schillinger, Douglas;Marcotte, Guillaume;Röhrs, Johannes;Dagestad, Knut-Frode;Christensen, Kai H.;Breivik, Øyvind
    date accessioned2022-01-30T18:09:30Z
    date available2022-01-30T18:09:30Z
    date copyright9/10/2020 12:00:00 AM
    date issued2020
    identifier issn0739-0572
    identifier otherjtechd200013.pdf
    identifier urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4264581
    description abstractThe water following characteristics of six different drifter types are investigated using two different operational marine environmental prediction systems: one produced by Environment and Climate Change Canada (ECCC) and the other produced by the Norwegian Meteorological Institute (METNO). These marine prediction systems include ocean circulation models, atmospheric models, and surface wave models. Two leeway models are tested for use in drift object prediction: an implicit leeway model where the Stokes drift is implicit in the leeway coefficient, and an explicit leeway model where the Stokes drift is provided by the wave model. Both leeway coefficients are allowed to vary in direction and time in order to perfectly reproduce the observed drifter trajectory. This creates a time series of the leeway coefficients which exactly reproduce the observed drifter trajectories. Mean values for the leeway coefficients are consistent with previous studies which utilized direct observations of the leeway. For all drifters and models, the largest source of variance in the leeway coefficient occurs at the inertial frequency and the evidence suggests it is related to uncertainties in the ocean inertial currents.
    publisherAmerican Meteorological Society
    titleEvaluating the leeway coefficient of ocean drifters using operational marine environmental prediction systems
    typeJournal Paper
    journal titleJournal of Atmospheric and Oceanic Technology
    identifier doi10.1175/JTECH-D-20-0013.1
    journal fristpage1
    journal lastpage36
    treeJournal of Atmospheric and Oceanic Technology:;2020:;volume( ):;issue: -
    contenttypeFulltext
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