The DOI matches its Crossref record; 12 of the 12 references it cites were found in a registry or an index.
The evolving structure of an upwelling filament
Abstract
The evolution of an upwelling filament was studied over a 2‐week period by using satellite infrared images, and its thermohaline structure was mapped in situ. The surface velocity field consisted of a large meander extending offshore for at least 300 km. The northern branch was ∼40 km wide, flowing offshore at a peak velocity of 0.55 m/s; the southern branch was flowing inshore at 0.35 m/s. The offshore transport was more than 10 6 m 3 s−1, larger than the Ekman transport. The meander was unstable to barotropic instabilities at a scale of ∼15 km. From a succession of images a surface convergence γ ≈ 8·10−6 s−1 over 20 km was observed near the sharp front limiting the filament to the south. The ∼350 m width of the front indicates a separation of scales between the large‐scale strain field and the mixed‐layer turbulence parameterized with an eddy diffusion coefficient KH ≈ 0.25 m 2 s−1. Thermohaline layers that originated at the convergence near the sharp front suggest a secondary circulation subducting denser waters to the south underneath the lighter northern water.
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Cites
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Submesoscale currents in the ocean
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Mixed Layer Instabilities and Restratification
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Submesoscale processes and dynamics
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The flux of iron from continental shelf sediments: A missing source for global budgets
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Metadata
- Authors
- Flament, P., Armi, L., & Washburn, L.
- Venue
- Journal of Geophysical Research: Oceans
- Publisher
- American Geophysical Union (AGU)
- Published
- 1985-11-20
- Volume
- 90
- Issue
- C6
- Pages
- 11765-11778
- ISSN
- 0148-0227 (ISSN-L)
- OpenAlex
- W2039067330
- Cited by
- 276
- References
- 12
- FWCI
- 9.71
- Type
- journal article
- Language
- en
- Open access
- closed
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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.