2019
DOI: 10.1029/2019jc015113
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Eddies in the Western Arctic Ocean From Spaceborne SAR Observations Over Open Ocean and Marginal Ice Zones

Abstract: The Western Arctic Ocean is a host to major ocean circulation systems, many of which generate eddies that can transport water masses and corresponding tracers over long distances from their formation sites. However, comprehensive observations of critical eddy characteristics are currently not available and are limited to spatially and temporally sparse in situ observations. Here we use high-resolution spaceborne synthetic aperture radar measurements to detect eddies from their surface imprints in ice-free sea … Show more

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Cited by 57 publications
(80 citation statements)
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References 67 publications
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“…Baroclinic eddies are a ubiquitous feature of the Arctic Ocean, which is observed to have a vigorous mesoscale and submesoscale eddy field (e.g., Carpenter & Timmermans, ; Kozlov et al, ; Manley & Hunkins, ; Manucharyan et al, ; Mensa et al, ; Pnyushkov et al, ; Spall et al, ; Timmermans et al, ; Zhao et al, , ). Water‐column kinetic energy in the Arctic's halocline is dominated by eddies (Zhao et al, ), and we expect eddy buoyancy fluxes and along‐isopycnal stirring by eddies to play an important role in the general circulation, as will be shown in section .…”
Section: Mixing and Stirring In The Arctic Oceanmentioning
confidence: 99%
“…Baroclinic eddies are a ubiquitous feature of the Arctic Ocean, which is observed to have a vigorous mesoscale and submesoscale eddy field (e.g., Carpenter & Timmermans, ; Kozlov et al, ; Manley & Hunkins, ; Manucharyan et al, ; Mensa et al, ; Pnyushkov et al, ; Spall et al, ; Timmermans et al, ; Zhao et al, , ). Water‐column kinetic energy in the Arctic's halocline is dominated by eddies (Zhao et al, ), and we expect eddy buoyancy fluxes and along‐isopycnal stirring by eddies to play an important role in the general circulation, as will be shown in section .…”
Section: Mixing and Stirring In The Arctic Oceanmentioning
confidence: 99%
“…Four of the modes, having the characteristic time scales of less than 3 months, were assembled into the pulsation component. The analysis of ASAR data was performed using a Matlab-based software described in Kozlov et al (2015) and further applied for eddy detection in the Arctic Ocean (Kozlov et al, 2019). The original SAR images were calibrated to normalized radar cross-sectional units, then signal trend in the range direction was removed, and the results were smoothed with the adaptive Wiener filter to reduce the speckle noise (Lim, 1990).…”
Section: Journal Of Geophysical Research: Oceansmentioning
confidence: 99%
“…Eddies are visible in spaceborne SAR images owing to modulation of short-scale sea surface roughness by eddy-induced currents (wave-current interactions), accumulation of slicks or ice floes in the current convergence zones, and due to near-surface wind variation across oceanic fronts (Johannessen et al, 2005;Kozlov et al, 2012Kozlov et al, , 2019Kudryavtsev et al, 2014). The most common method for eddy detection in SAR data is based on visual identification of their surface signatures at relatively small spatial and temporal scales (Atadzhanova et al, 2017;Dokken & Wahl, 1996;Johannessen et al, 1996;Karimova, 2012).…”
Section: Eddy Detection In Sar Imagesmentioning
confidence: 99%
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“…The size and location of the anticyclonic eddies in CI gradient parameter fields have little difference from those in HFR-derived current fields because: (1) the Chl-a field aroused by the physical eddy field tends to be weaker than the current field and appears to be shifted by the force of the advection term; (2) the two datasets have different spatial resolutions and different properties (CI and velocity vectors). In addition, our method relies on a single image and gradient information, which is different from other studies about tracer-derived velocity products [46][47][48]. Nevertheless, some limitations do exist in both our method and the CI imagery when compared with HFR imagery.…”
Section: Ability Of Submesoscale Signals Extracted By Ci-derived Gradmentioning
confidence: 96%