On the results of studying ice ridges in the Shokal'skogo Strait, part I: Morphology and physical parameters in-situ

Kharitonov, Victor V.; Бородкин, В. А.

doi:10.1016/j.coldregions.2020.103041

Cited by 5 publications

(2 citation statements)

References 9 publications

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“…We note that OIB's observed modal snow thickness of 4 cm (mean 9 cm) agrees well with the expected accumulation between February and March from the Warren climatology (Warren et al, 1999). However, we also take into account that OIB Sea Ice Freeboard, Snow Depth, and Thickness Quick Look data most likely underestimate snow thickness on the order of 5-6 cm (King et al, 2015).…”

Section: Ice Thickness Measurementssupporting

confidence: 65%

Linking sea ice deformation to ice thickness redistribution using high-resolution satellite and airborne observations

2021

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Abstract. An unusual, large, latent-heat polynya opened and then closed by freezing and convergence north of Greenland's coast in late winter 2018. The closing presented a natural but well-constrained full-scale ice deformation experiment. We observed the closing of and deformation within the polynya with satellite synthetic-aperture radar (SAR) imagery and measured the accumulated effects of dynamic and thermodynamic ice growth with an airborne electromagnetic (AEM) ice thickness survey 1 month after the closing began. During that time, strong ice convergence decreased the area of the refrozen polynya by a factor of 2.5. The AEM survey showed mean and modal thicknesses of the 1-month-old ice of 1.96 ± 1.5 m and 1.1 m, respectively. We show that this is in close agreement with modeled thermodynamic growth and with the dynamic thickening expected from the polynya area decrease during that time. We found significant differences in the shapes of ice thickness distributions (ITDs) in different regions of the refrozen polynya. These closely corresponded to different deformation histories of the surveyed ice that we reconstructed from Lagrangian ice drift trajectories in reverse chronological order. We constructed the ice drift trajectories from regularly gridded, high-resolution drift fields calculated from SAR imagery and extracted deformation derived from the drift fields along the trajectories. Results show a linear proportionality between convergence and thickness change that agrees well with the ice thickness redistribution theory. We found a proportionality between the e folding of the ITDs' tails and the total deformation experienced by the ice. Lastly, we developed a simple, volume-conserving model to derive dynamic ice thickness change from the combination of Lagrangian trajectories and high-resolution SAR drift and deformation fields. The model has a spatial resolution of 1.4 km and reconstructs thickness profiles in reasonable agreement with the AEM observations. The modeled ITD resembles the main characteristics of the observed ITD, including mode, e folding, and full width at half maximum. Thus, we demonstrate that high-resolution SAR deformation observations are capable of producing realistic ice thickness distributions.

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Section: Ice Thickness Measurementssupporting

confidence: 65%

Linking sea ice deformation to ice thickness redistribution using high-resolution satellite and airborne observations

2021

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“…Since ridge keels in Arctic seas have a more complicated morphology than floe edges (Bitz et al., 2001; Obert & Brown, 2011; Wadhams et al., 2011), C dw has a range of values corresponding to various keel shapes rather than being a constant. Using the simple triangular shape of ridge keel (Bonath et al., 2018; Ekeberg et al., 2015; Kharitonov & Borodkin, 2020), the slope angle

α_{w}

and the keel depth h w define the keel geometry. The goal of this study is to investigate how C dw varies with the keel geometry, and a parameterization scheme of C dw = C dw (

α_{w}

, h w ) with its range of variation is presented, allowing an improved formulation of the ice‐ocean drag coefficient in Equation .…”

Section: Parameterization Of the Ice‐ocean Drag Coefficientmentioning

confidence: 99%

On the Form Drag Coefficient Under Ridged Ice: Laboratory Experiments and Numerical Simulations From Ideal Scaling to Deep Water

Lü

Leppäranta

et al. 2021

JGR Oceans

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The bottom topography of ridged sea ice differs greatly from that of other sea‐ice types. The form drag of ridge keels has an important influence on sea‐ice drift and deformation. In this study, both laboratory experiment (LabE) and fluid dynamics numerical simulation (FDS) have been carried out for a physical ridge model in a tank to better understand the quantitative characteristics of the form drag. The LabEs covered both laminar and turbulent conditions. The local form drag coefficient of a keel, Cdw, varied with the keel depth hw and the slope angle αw in the turbulent regime. After validated by the LabE measurements, the FDSs were employed to extend the parameterization from the finite water depth to deep water. The results gave Cdw = 0.68∙ln (αw/7.8°), R2 = 0.998, 10° ≤ αw ≤ 90°, with Cdw ranging from 0.17 to 1.66, when the keel depth was much less than the water depth. For a large ridging intensity (keel depth/spacing ≥0.01), the variation of the local form drag coefficient and its contribution to total drag coefficient were sensitive to the keel slope angle. Assuming the log‐normal distribution for this angle, the average value of the local form drag coefficient was 0.75, recommended for sea‐ice dynamic models.

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Ultrasonic Study of Sea Ice Ridges

Favorskaya

Muratov

2022

Intelligent Decision Technologies

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On the results of studying ice ridges in the Shokal'skogo Strait, part I: Morphology and physical parameters in-situ

Cited by 5 publications

References 9 publications

Linking sea ice deformation to ice thickness redistribution using high-resolution satellite and airborne observations

Linking sea ice deformation to ice thickness redistribution using high-resolution satellite and airborne observations

On the Form Drag Coefficient Under Ridged Ice: Laboratory Experiments and Numerical Simulations From Ideal Scaling to Deep Water

Ultrasonic Study of Sea Ice Ridges

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