| DOI: | 10.1002/2017MS001002
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| Scopus记录号: | 2-s2.0-85029365934
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| 论文题名: | Modeling tabular icebergs submerged in the ocean |
| 作者: | Stern A; A; , Adcroft A; , Sergienko O; , Marques G
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| 刊名: | Journal of Advances in Modeling Earth Systems
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| ISSN: | 19422466
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| 出版年: | 2017
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| 卷: | 9, 期:4 | | 起始页码: | 1948
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| 结束页码: | 1972
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| 语种: | 英语
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| 英文关键词: | Ice
; Lagrange multipliers
; Oceanography
; calving
; Ice shelves
; icebergs
; Lagrangian
; tabular
; Sea ice
; bottom water
; ice shelf
; iceberg
; iceberg calving
; molecular analysis
; numerical method
; oceanic circulation
; primary production
; sea ice
; submergence
; Antarctic Ice Sheet
; Antarctica
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| 英文摘要: | Large tabular icebergs calved from Antarctic ice shelves have long lifetimes (due to their large size), during which they drift across large distances, altering ambient ocean circulation, bottom-water formation, sea-ice formation, and biological primary productivity in the icebergs' vicinity. However, despite their importance, the current generation of ocean circulation models usually do not represent large tabular icebergs. In this study, we develop a novel framework to model large tabular icebergs submerged in the ocean. In this framework, tabular icebergs are represented by pressure-exerting Lagrangian elements that drift in the ocean. The elements are held together and interact with each other via bonds. A breaking of these bonds allows the model to emulate calving events (i.e., detachment of a tabular iceberg from an ice shelf) and tabular icebergs breaking up into smaller pieces. Idealized simulations of a calving tabular iceberg, its drift, and its breakup demonstrate capabilities of the developed framework. © 2017. The Authors. |
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| 资源类型: | 期刊论文
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| 标识符: | http://119.78.100.158/handle/2HF3EXSE/75742
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| Appears in Collections: | 影响、适应和脆弱性
气候变化与战略
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作者单位: | Geophysical Fluid Dynamics Laboratory, Princeton University, Princeton, NJ, United States
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| Recommended Citation: | |
Stern A,A,, Adcroft A,et al. Modeling tabular icebergs submerged in the ocean[J]. Journal of Advances in Modeling Earth Systems,2017-01-01,9(4)
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