气候变化领域集成服务门户(CCPortal): Data assimilation and prognostic whole ice sheet modelling with the variationally derived, higher order, open source, and fully parallel ice sheet model VarGlaS

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DOI	10.5194/tc-7-1161-2013
	Data assimilation and prognostic whole ice sheet modelling with the variationally derived, higher order, open source, and fully parallel ice sheet model VarGlaS
	Brinkerhoff D.J.; Johnson J.V.
发表日期	2013
ISSN	19940416
卷号	7 期号:4
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).
学科领域	benchmarking; cryosphere; data assimilation; finite element method; GRIP; ice sheet; ice thickness; numerical model; Arctic; Greenland; Greenland Ice Sheet
语种	英语
scopus关键词	benchmarking; cryosphere; data assimilation; finite element method; GRIP; ice sheet; ice thickness; numerical model; Arctic; Greenland; Greenland Ice Sheet
来源期刊	Cryosphere
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/120276
作者单位	University of Montana, Missoula, MT, United States
推荐引用方式 GB/T 7714	Brinkerhoff D.J.,Johnson J.V.. Data assimilation and prognostic whole ice sheet modelling with the variationally derived, higher order, open source, and fully parallel ice sheet model VarGlaS[J],2013,7(4).
APA	Brinkerhoff D.J.,&Johnson J.V..(2013).Data assimilation and prognostic whole ice sheet modelling with the variationally derived, higher order, open source, and fully parallel ice sheet model VarGlaS.Cryosphere,7(4).
MLA	Brinkerhoff D.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".Cryosphere 7.4(2013).