Exploring the ingredients required to successfully model the placement, generation, and evolution of ice streams in the British-Irish Ice Sheet
Exploring the ingredients required to successfully model the placement, generation, and evolution of ice streams in the British-Irish Ice Sheet
复制标题
探索成功模拟英国-爱尔兰冰盖中冰流的位置、生成和演化所需的成分
DOI:
10.1016/j.quascirev.2019.105915
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发表时间:
2019
影响因子:
4
通讯作者:
Gandy N
中科院分区:
文献类型:
--
作者:
Gandy N
Ice stream evolution is a major uncertainty in projections of the future of the Greenland and Antarctic Ice sheets. Accurate simulation of ice stream evolution requires an understanding of a number of “ingredients” that control the location and behaviour of ice stream flow. Here, we test the influence of geothermal heat flux, grid resolution, and bed hydrology on simulated ice streaming. The palaeo-record provides snapshots of ice stream evolution, with a particularly well constrained ice sheet being the British-Irish Ice Sheet (BIIS). We implement a new basal sliding scheme coupled with thermo-mechanics into the BISICLES ice sheet model, to simulate the evolution of the BIIS ice streams. We find that the simulated location and spacing of ice streams matches well with the empirical reconstructions of ice stream flow in terms of position and direction when simple bed hydrology is included. We show that the new basal sliding scheme allows the accurate simulation for the majority of BIIS ice streams. The extensive empirical record of the BIIS has allowed the testing of model inputs, and has helped demonstrate the skill of the ice sheet model in simulating the evolution of the location, spacing, and migration of ice streams through millennia. Simulated ice streams also prompt new empirical mapping of features indicative of streaming in the North Channel region. Ice sheet model development has allowed accurate simulation of the palaeo record, and allows for improved modelling of future ice stream behaviour.
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DOI:
10.1016/j.cageo.2006.06.016
发表时间:
2007-02
期刊:
Comput. Geosci.
影响因子:
--
作者:
Yingkui Li;Jacob Napieralski;J. Harbor;A. Hubbard
通讯作者:
Yingkui Li;Jacob Napieralski;J. Harbor;A. Hubbard
影响因子:
2.9
作者:
C. Stokes;C. Clark
通讯作者:
C. Clark
影响因子:
4
作者:
D. Praeg;S. Mccarron;D. Dove;C. Ó. Cofaigh;Gill Scott;X. Monteys;L. Facchin;R. Romeo;P. Coxon
通讯作者:
P. Coxon
DOI:
--
发表时间:
2014
期刊:
影响因子:
--
作者:
T. Farrell;Alan G. Jones;M. Muller;M. Feely;A. Brock;M. Long;T. Waters
通讯作者:
T. Waters
影响因子:
2.3
作者:
J. Kuchar;G. Milne;A. Hubbard;H. Patton;S. Bradley;I. Shennan;R. Edwards
通讯作者:
R. Edwards