Behavioural tendencies of the last British–Irish Ice Sheet revealed by data–model comparison

IF 1.9 3区 地球科学 Q3 GEOGRAPHY, PHYSICAL Journal of Quaternary Science Pub Date : 2024-06-14 DOI:10.1002/jqs.3628
Jeremy C. Ely, Chris D. Clark, Sarah L. Bradley, Lauren Gregoire, Niall Gandy, Ed Gasson, Remy L.J. Veness, Rosie Archer
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Abstract

Integrating ice-sheet models with empirical data pertaining to palaeo-ice sheets promotes advances in the models used in sea-level predictions and can improve our understanding of past ice-sheet behaviour. The large number of empirical constraints on the last British–Irish Ice Sheet make it ideal for model–data comparison experiments. Here, we present an ensemble of 600 model simulations, which are compared with data on former ice-flow extent, flow geometry and deglaciation timing. Simulations which poorly recreate data were ruled out, allowing us to examine the remaining physically realistic simulations which capture the ice sheets' behavioural tendencies. Our results led to a novel reconstruction of behaviour in the data-poor region of the North Sea, insights into the ice stream, potential ice-shelf and readvance dynamics, and the potential locations of peripheral ice caps. We also propose that the asynchronous behaviour of the British–Irish Ice Sheet is a consequence of the geography of the British Isles and the merging and splitting of different bodies of ice through saddle merger and collapse. Furthermore, persistent model–data mismatches highlight the need for model development, especially regarding the physics of ice–ocean interactions. Thus, this work highlights the power of integrating models and data, a long-held aim of palaeoglaciology.

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通过数据与模型对比揭示最后一块英爱冰原的行为趋势
将冰盖模型与有关古冰盖的经验数据相结合,可以促进海平面预测模型的进步,并提高我们对过去冰盖行为的认识。最后的英国-爱尔兰冰盖有大量的经验约束条件,因此非常适合进行模型-数据对比实验。在此,我们展示了 600 个模型模拟结果,并将其与有关前冰流范围、冰流几何形状和冰川消融时间的数据进行了比较。我们剔除了那些对数据再现不佳的模拟,从而对剩余的能够捕捉冰盖行为趋势的物理现实模拟进行了研究。我们的研究结果对北海数据贫乏地区的行为进行了新的重建,深入了解了冰流、潜在的冰架和重新移动动态,以及外围冰盖的潜在位置。我们还提出,不列颠-爱尔兰冰原的不同步行为是不列颠群岛的地理位置以及不同冰体通过鞍状合并和塌陷而合并和分裂的结果。此外,模型与数据的持续不匹配凸显了模型开发的必要性,尤其是在冰与海洋相互作用的物理学方面。因此,这项工作凸显了整合模型和数据的力量,这也是古冰川学的一个长期目标。
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来源期刊
Journal of Quaternary Science
Journal of Quaternary Science 地学-地球科学综合
CiteScore
4.70
自引率
8.70%
发文量
82
审稿时长
6-12 weeks
期刊介绍: The Journal of Quaternary Science publishes original papers on any field of Quaternary research, and aims to promote a wider appreciation and deeper understanding of the earth''s history during the last 2.58 million years. Papers from a wide range of disciplines appear in JQS including, for example, Archaeology, Botany, Climatology, Geochemistry, Geochronology, Geology, Geomorphology, Geophysics, Glaciology, Limnology, Oceanography, Palaeoceanography, Palaeoclimatology, Palaeoecology, Palaeontology, Soil Science and Zoology. The journal particularly welcomes papers reporting the results of interdisciplinary or multidisciplinary research which are of wide international interest to Quaternary scientists. Short communications and correspondence relating to views and information contained in JQS may also be considered for publication.
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