Firn on ice sheets

The Firn Symposium team
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Abstract

Most of the Greenland and Antarctic ice sheets are covered with firn — the transitional material between snow and glacial ice. Firn is vital for understanding ice-sheet mass balance and hydrology, and palaeoclimate. In this Review, we synthesize knowledge of firn, including its formation, observation, modelling and relevance to ice sheets. The refreezing of meltwater in the pore space of firn currently prevents 50% of meltwater in Greenland from running off into the ocean and protects Antarctic ice shelves from catastrophic collapse. Continued atmospheric warming could inhibit future protection against mass loss. For example, warming in Greenland has already contributed to a 5% reduction in firn pore space since 1980. All projections of future firn change suggest that surface meltwater will have an increasing impact on firn, with melt occurring tens to hundreds of kilometres further inland in Greenland, and more extensively on Antarctic ice shelves. Although progress in observation and modelling techniques has led to a well-established understanding of firn, the large uncertainties associated with meltwater percolation processes (refreezing, ice-layer formation and storage) must be reduced further. A tighter integration of modelling components (firn, atmosphere and ice-sheet models) will also be needed to better simulate ice-sheet responses to anthropogenic warming and to quantify future sea-level rise. A firn layer covers the Earth’s ice sheets. This Review outlines techniques to observe and model changes in firn properties and meltwater retention to understand how this firn layer will respond to climate change.

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冰原上的枞树
格陵兰岛和南极洲的大部分冰原都覆盖着枞树蕨--一种介于雪和冰川冰之间的过渡材料。蕨类对于了解冰盖的质量平衡和水文以及古气候至关重要。在本综述中,我们将综合介绍有关枞树的知识,包括其形成、观测、建模以及与冰原的相关性。目前,蕨类植物孔隙中的融水再冻结防止了格陵兰岛50%的融水流入海洋,并保护了南极冰架免遭灾难性坍塌。大气持续变暖可能会抑制未来防止冰量损失的能力。例如,自 1980 年以来,格陵兰岛的气候变暖已经导致枞树孔隙减少了 5%。对未来枞树变化的所有预测都表明,地表融水将对枞树产生越来越大的影响,格陵兰岛的融水发生在更远的内陆几十公里到几百公里的地方,南极冰架的融水发生范围也更广。虽然观测和建模技术的进步使人们对枞树有了充分的了解,但必须进一步减少与融水渗流过程(再冻结、冰层形成和储存)相关的巨大不确定性。为了更好地模拟冰盖对人为变暖的反应和量化未来海平面的上升,还需要更紧密地整合建模组件(枞树、大气和冰盖模型)。
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