2014
DOI: 10.1016/j.ocemod.2014.09.006
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Processes driving sea ice variability in the Bering Sea in an eddying ocean/sea ice model: Mean seasonal cycle

Abstract: a b s t r a c tThe seasonal cycle of sea ice variability in the Bering Sea, together with the thermodynamic and dynamic processes that control it, are examined in a fine resolution (1/10°) global coupled ocean/sea-ice model configured in the Community Earth System Model (CESM) framework. The ocean/sea-ice model consists of the Los Alamos National Laboratory Parallel Ocean Program (POP) and the Los Alamos Sea Ice Model (CICE). The model was forced with time-varying reanalysis atmospheric forcing for the time pe… Show more

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Cited by 11 publications
(6 citation statements)
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“…In the ocean model, the vertical grid has 42 depth levels with variable thickness from 10 to 50 m in the upper 300 m. Sub‐grid scale horizontal mixing processes are parameterized via biharmonic operators (Maltrud et al., 2010) for both momentum and tracers, and the K‐Profile Parameterization (KPP) is used to represent vertical mixing (Large et al., 1994). The ocean and sea‐ice model components were initialized from a two‐year spun up state of a global 0.1° POP2/CICE4 simulation forced with interannually varying corrected Coordinated Ocean‐ice Reference Experiments phase II (Large & Yeager, 2009) surface atmospheric fluxes (Li et al., 2014). The preindustrial simulation was integrated for 131 years; our study used only the last 47 years (years 85–131) to exclude the initial model adjustment period.…”
Section: Methodsmentioning
confidence: 99%
“…In the ocean model, the vertical grid has 42 depth levels with variable thickness from 10 to 50 m in the upper 300 m. Sub‐grid scale horizontal mixing processes are parameterized via biharmonic operators (Maltrud et al., 2010) for both momentum and tracers, and the K‐Profile Parameterization (KPP) is used to represent vertical mixing (Large et al., 1994). The ocean and sea‐ice model components were initialized from a two‐year spun up state of a global 0.1° POP2/CICE4 simulation forced with interannually varying corrected Coordinated Ocean‐ice Reference Experiments phase II (Large & Yeager, 2009) surface atmospheric fluxes (Li et al., 2014). The preindustrial simulation was integrated for 131 years; our study used only the last 47 years (years 85–131) to exclude the initial model adjustment period.…”
Section: Methodsmentioning
confidence: 99%
“…Generally, sea ice in the Bering Sea begins to form around the beginning of October and expands southward throughout the winter (Niebauer et al, 1999;Stabeno et al, 2012a;Li et al, 2014). In winter, sea ice forms mainly in the northern coastal area of the Bering Sea and the polynya areas on the southern coast of St. Lawrence Island and is then transported southward by north winds (Alexander and Niebauer, 1981;Niebauer, 1998;Stabeno et al, 2007;Ohshima et al, 2020).…”
Section: Introductionmentioning
confidence: 99%
“…With respect to the sea ice generation area, in December, sea ice often occurs north of St. Lawrence Island, while the January SIA increases are more likely to occur in the Bering Sea shelf area (Stabeno et al, 2012a). The large amount of warm water carried by the Bering Sea continental slope current in the southern waters causes a large amount of sea ice to melt, eventually leading to an S-shaped asymmetrical sea ice edge (Niebauer et al, 1999;Li et al, 2014).…”
Section: Introductionmentioning
confidence: 99%
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