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  • 1
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    International Glaciological Society
    In:  Annals of Glaciology, 56 (69). pp. 295-306.
    Publication Date: 2016-04-26
    Description: The first stage of sea-ice formation is often grease ice, a mixture of sea water and frazil ice crystals. Over time, grease ice typically congeals first to pancake ice floes and then to a solid sea-ice cover. Grease ice is commonly not explicitly simulated in basin-scale sea-ice ocean models, though it affects oceanic heat loss and ice growth and is expected to play a greater role in a more seasonally icecovered Arctic Ocean. We present an approach to simulate the grease-ice layer with, as basic properties, the surface being at the freezing point, a frazil ice volume fraction of 25%, and a negligible change in the surface heat flux compared to open water. The latter governs grease-ice production, and a gradual transition to solid sea ice follows, with ∼50% of the grease ice solidifying within 24 hours. The new parameterization delays lead closing by solid ice formation, enhances oceanic heat loss in fall and winter, and produces a grease-ice layer that is variable in space and time. Results indicate a 10-30% increase in mean winter Arctic Ocean heat loss compared to a standard simulation, with instant lead closing leading to significantly enhanced ice growth.
    Type: Article , PeerReviewed
    Format: text
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  • 2
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    International Glaciological Society
    In:  Annals of Glaciology, 44 . pp. 310-316.
    Publication Date: 2016-09-05
    Description: In the Arctic, sea-ice motion and ice export are prominent processes and good indicators of Arctic climate system variability. Sea-ice drift is simulated using a dynamic–hermodynamic sea-ice model, validated with retrievals from SSM/I satellite observations. Both datasets agree well in reproducing the main Arctic drift patterns. In order to study inner Arctic transports and ice volume anomalies, the Arctic Ocean is split by ten boundaries, separating the central Arctic Ocean from the Nordic and marginal seas. It is found that the already dominant sea-ice export through Fram Strait has increased at the expense of export through the Barents Sea in the most recent years investigated. Furthermore, ice export from the Eurasian marginal seas increased slightly, followed by greater ice production during the winter. In contrast to this, the sea-ice volume moved within the Beaufort Gyre distinctly decreased. In total, the ice volume in the central Arctic decreased during the 40 year period covered by this study. The changes in the ice volume correspond to two wind-driven circulation regimes of the Arctic sea-ice motion, which recur approximately every 11 years. For the volume anomalies we derived a correlation of –0.59 to the North Atlantic Oscillation (NAO) index, lagging the NAOby 2 years.
    Type: Article , PeerReviewed
    Format: text
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  • 3
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    International Glaciological Society | Cambridge University Press
    Publication Date: 2024-01-07
    Description: Sea ice deforms under convergent and Shear motion, causing rafting and ridging. This results in thicker ice than could be formed by thermodynamic growth only. Three different approaches to Simulating the formation of pressure ridges in a dynamic–thermodynamic continuum model are considered. They are compared with and evaluated by airborne laser profiles of the Sea-ice Surface roughness. The respective characteristic of each of the three ridging Schemes is (1) a prognostic equation for deformation energy from which ridge parameters are derived; (2) a redistribution function, Shifting ice between two categories, level and ridged, combined with a Monte Carlo Simulation for ridge parameters; and (3) prognostic equations for ridge density and height, resulting in the formation of ridged-ice volume. The model results Show that the ridge density is typically related to the State of ice motion, whereas the mean Sail height is related to the parent ice thickness. In general, all of the three models produce realistic distributions of ridges. Finally, the Second ridging Scheme is regarded as the most appropriate for climate modelling, while the third Scheme has advantages in Short-term Sea-ice forecasting.
    Type: Article , PeerReviewed
    Format: text
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