In Situ Experimental Study of the Friction of Sea Ice and Steel on Sea Ice by Qingkai Wang, Zhijun Li, Peng Lu, Xiaowei Cao, Matti Leppäranta

Subjects: “…sea ice…”
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The drift of sea ice / by 224102 Lepparanta, Matti

Subjects: “…Sea ice drift…”

Sea ice and methane by Hambler, C, Henderson, PA

“…1) The annual cycle of atmospheric methane in southern high latitudes is extremely highly correlated with Antarctic sea ice extent. 2) The annual cycle of atmospheric methane in the Arctic is highly correlated with Antarctic or Arctic plus Antarctic sea ice extent. 3) We propose the global annual cycle of atmospheric methane is largely driven by Antarctic sea ice dynamics, with relatively stronger influence from other fluxes (probably the biota) in the Northern Hemisphere. 4) We propose degassing during sea ice freeze and temperature dependent solubility in the ocean dominate the annual methane cycle. 5) Results provide evidence that carbon cycle pathways, parameters and predictions must be reassessed.…”

Modeling sea ice by Golden, KM, Bennetts, LG, Cherkaev, E, Eisenman, I, Feltham, D, Horvat, C, Hunke, E, Jones, C, Perovich, DK, Ponte-Castañeda, P, Strong, C, Sulsky, D, Wells, AJ

Sea ice and argon by Hambler, C

“…1) Atmospheric argon on Earth and Mars cycles on a seasonal basis and abiotic factors will be particularly important drivers of this noble gas. 2) It is predicted and confirmed that there is similarity in the seasonality of sea ice and argon, with atmospheric argon in a Hemisphere often increasing fastest when sea ice in that Hemisphere is declining fastest. 3) There is some visual similarity between the detailed phenology of Greenland Sea ice extent and argon in some Northern Hemisphere sites, but formal analysis is required. 4) If causal, the mechanism is unclear but could involve argon bubble formation during freezing and bubble release in the spring melt. 5) Other variables with very similar phenology to sea ice, including high-latitude sea temperatures, should be investigated as potential drivers. 6) Cycling of argon by sea ice would strengthen the argument that seasonal cycling of carbon dioxide is in part driven abiotically.…”

Sea ice and oxygen by Hambler, C

“…</p> <p><strong>4)</strong> I test and confirm the prediction that seasonal sea ice and oxygen rates are highly coherent at high latitudes, with peak oxygen emission in months of peak rates of sea ice loss within each Hemisphere. …”

Assessment of contemporary satellite sea ice thickness products for Arctic sea ice by H. Sallila, S. L. Farrell, J. McCurry, E. Rinne

“…<p>Advances in remote sensing of sea ice over the past two decades have resulted in a wide variety of satellite-derived sea ice thickness data products becoming publicly available. …”
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Potential sea ice predictability and the role of stochastic sea ice strength perturbations by Juricke, S, Goessling, H, Jung, T

“…The regions where initial condition uncertainty generates spread in sea ice thickness on subseasonal time scales (primarily along the ice edge) differ from that of the stochastic sea ice strength parameterization (along the coast lines and in the interior of the Arctic). …”

Impact of assimilating sea ice concentration, sea ice thickness and snow depth in a coupled ocean–sea ice modelling system by S. Fritzner, R. Graversen, K. H. Christensen, P. Rostosky, K. Wang

“…<p>The accuracy of the initial state is very important for the quality of a forecast, and data assimilation is crucial for obtaining the best-possible initial state. For many years, sea-ice concentration was the only parameter used for assimilation into numerical sea-ice models. …”
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Summertime sea-ice prediction in the Weddell Sea improved by sea-ice thickness initialization by Yushi Morioka, Doroteaciro Iovino, Andrea Cipollone, Simona Masina, Swadhin K. Behera

“…Abstract Skillful sea-ice prediction in the Antarctic Ocean remains a big challenge due to paucity of sea-ice observations and insufficient representation of sea-ice processes in climate models. …”
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An ocean-sea ice model study of the unprecedented Antarctic sea ice minimum in 2016 by Kazuya Kusahara, Phillip Reid, Guy D Williams, Robert Massom, Hiroyasu Hasumi

Subjects: “…Antarctic sea ice…”
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The potential of sea ice leads as a predictor for summer Arctic sea ice extent by Y. Zhang, Y. Zhang, Y. Zhang, X. Cheng, X. Cheng, X. Cheng, J. Liu, F. Hui, F. Hui, F. Hui

“…<p>The Arctic sea ice extent throughout the melt season is closely associated with initial sea ice state in winter and spring. …”
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Simulating Sea‐Ice Deformation in Viscous‐Plastic Sea‐Ice Models With CD‐Grids by C. Mehlmann, G. Capodaglio, S. Danilov

Subjects: “…sea‐ice dynamics…”
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Feature-based comparison of sea ice deformation in lead-permitting sea ice simulations by N. Hutter, M. Losch

“…<p>The sea ice modeling community is progressing towards pan-Arctic simulations that explicitly resolve leads in the simulated sea ice cover. …”
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Development of a sea-ice tank system for measuring microwave properties of sea ice by Masashige Nakayama, Kazuhiro Naoki, Tomonori Tanikawa, Kohei Cho

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Decadal Sea Ice Prediction in the West Antarctic Seas with Ocean and Sea Ice Initializations by Yushi Morioka, Doroteaciro Iovino, Andrea Cipollone, Simona Masina, Swadhin K. Behera

“…Decadal sea ice variability in the west Antarctic seas can be skillfully predicted, with highest skill in a decadal reforecast experiment where sea surface temperature, sea ice concentration and subsurface ocean temperature and salinity are initialized from observations.…”
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Better constraints on the sea-ice state using global sea-ice data assimilation by P. Mathiot, C. König Beatty, T. Fichefet, H. Goosse, F. Massonnet, M. Vancoppenolle

“…However, only sea-ice concentration and velocity data are currently assimilated. …”
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Fracture Networks in Sea Ice by Jonas Nesland Vevatne, Eivind eRimstad, Alex eHansen, Reinert eKorsnes, Sigmund Mongstad Hope, Sigmund Mongstad Hope

“…Fracturing and refreezing of sea ice in the Kara sea are investigated using complex network<br/>analysis. …”
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The plate spacing of sea ice by Sönke Maus

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Sea ice and carbon dioxide by Hambler, C, Henderson, PA

“…1) The annual cycles of atmospheric CO&#x2082; at Mauna Loa and Point Barrow (Alaska) are statistically almost completely explained by changes in Arctic sea ice volume and extent. 2) The annual cycles of atmospheric CO&#x2082; at the South Pole and at Palmer Station are statistically largely explained by changes in Antarctic sea ice extent. 3) Results are consistent with a monthly CO&#x2082; flux dependent on the distance from equilibrium of a temperature dependent process. …”