DOI: 10.5194/tc-7-1161-2013
Scopus记录号: 2-s2.0-84881510336
论文题名: Data assimilation and prognostic whole ice sheet modelling with the variationally derived, higher order, open source, and fully parallel ice sheet model VarGlaS
作者: Brinkerhoff D ; J ; , Johnson J ; V
刊名: Cryosphere
ISSN: 19940416
出版年: 2013
卷: 7, 期: 4 起始页码: 1161
结束页码: 1184
语种: 英语
英文关键词: benchmarking
; cryosphere
; data assimilation
; finite element method
; GRIP
; ice sheet
; ice thickness
; numerical model
; Arctic
; Greenland
; Greenland Ice Sheet
英文摘要: We introduce a novel, higher order, finite element ice sheet model called VarGlaS (Variational Glacier Simulator), which is built on the finite element framework FEniCS. Contrary to standard procedure in ice sheet modelling, VarGlaS formulates ice sheet motion as the minimization of an energy functional, conferring advantages such as a consistent platform for making numerical approximations, a coherent relationship between motion and heat generation, and implicit boundary treatment. VarGlaS also solves the equations of enthalpy rather than temperature, avoiding the solution of a contact problem. Rather than include a lengthy model spin-up procedure, VarGlaS possesses an automated framework for model inversion. These capabilities are brought to bear on several benchmark problems in ice sheet modelling, as well as a 500 yr simulation of the Greenland ice sheet at high resolution. VarGlaS performs well in benchmarking experiments and, given a constant climate and a 100 yr relaxation period, predicts a mass evolution of the Greenland ice sheet that matches present-day observations of mass loss. VarGlaS predicts a thinning in the interior and thickening of the margins of the ice sheet. © 2013 Author(s). Citation statistics:
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/74966
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: University of Montana, Missoula, MT, United States
Recommended Citation:
Brinkerhoff D,J,, Johnson J,et al. Data assimilation and prognostic whole ice sheet modelling with the variationally derived, higher order, open source, and fully parallel ice sheet model VarGlaS[J]. Cryosphere,2013-01-01,7(4)