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1000 Titel
  • Sensitivity of gyre-scale marine connectivity estimates to fine-scale circulation
1000 Autor/in
  1. Hariri, Saeed |
  2. Speich, Sabrina |
  3. Blanke, Bruno |
  4. Lévy, Marina |
1000 Erscheinungsjahr 2023
1000 LeibnizOpen
1000 Publikationstyp
  1. Artikel |
1000 Online veröffentlicht
  • 2023-08-04
1000 Erschienen in
1000 Quellenangabe
  • 19(4):1183-1201
1000 FRL-Sammlung
1000 Copyrightjahr
  • 2023
1000 Lizenz
1000 Verlagsversion
  • https://doi.org/10.5194/os-19-1183-2023 |
1000 Publikationsstatus
1000 Begutachtungsstatus
1000 Sprache der Publikation
1000 Abstract/Summary
  • We investigated the connectivity properties of an idealized western boundary current system separating two ocean gyres, where the flow is characterized by a well-defined mean circulation as well as energetic fine-scale features (i.e., mesoscale and submesoscale currents). We used a time-evolving 3D flow field from a high-resolution (HR-3D) ocean model of this system. In order to evaluate the role of the fine scales in connectivity estimates, we computed Lagrangian trajectories in three different ways: using the HR-3D flow, using the same flow but filtered on a coarse-resolution grid (CR-3D), and using the surface layer flow only (HR-SL). We examined connectivity between the two gyres along the western boundary current and across it by using and comparing different metrics, such as minimum and averaged values of transit time between 16 key sites, arrival depths, and probability density functions of transit times. We find that when the fine-scale flow is resolved, the numerical particles connect pairs of sites faster (between 100 to 300 d) than when it is absent. This is particularly true for sites that are along and near the jets separating the two gyres. Moreover, the connectivity is facilitated when 3D instead of surface currents are resolved. Finally, our results emphasize that ocean connectivity is 3D and not 2D and that assessing connectivity properties using climatologies or low-resolution velocity fields yields strongly biased estimates.
1000 Fächerklassifikation (DDC)
1000 Liste der Beteiligten
  1. https://frl.publisso.de/adhoc/uri/SGFyaXJpLCBTYWVlZA==|https://frl.publisso.de/adhoc/uri/U3BlaWNoLCBTYWJyaW5h|https://frl.publisso.de/adhoc/uri/QmxhbmtlLCBCcnVubw==|https://frl.publisso.de/adhoc/uri/TMOpdnksIE1hcmluYQ==
1000 Label
1000 Förderer
  1. Agence Nationale de la Recherche |
  2. Leibniz-Gemeinschaft |
1000 Fördernummer
  1. ANR-11-BTBR-0008
  2. -
1000 Förderprogramm
  1. -
  2. Open Access fund
1000 Dateien
1000 Förderung
  1. 1000 joinedFunding-child
    1000 Förderer Agence Nationale de la Recherche |
    1000 Förderprogramm -
    1000 Fördernummer ANR-11-BTBR-0008
  2. 1000 joinedFunding-child
    1000 Förderer Leibniz-Gemeinschaft |
    1000 Förderprogramm Open Access fund
    1000 Fördernummer -
1000 Objektart article
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1000 @id frl:6475441.rdf
1000 Erstellt am 2024-04-30T08:26:57.752+0200
1000 Erstellt von 317
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1000 Bearbeitet von 317
1000 Zuletzt bearbeitet Tue Apr 30 08:28:20 CEST 2024
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1000 Vgl. frl:6475441
1000 Oai Id
  1. oai:frl.publisso.de:frl:6475441 |
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