C440: Tracking atmospheric heat at the base of the Greenland Ice Sheet using fibre-optic sensors
C440: Tracking atmospheric heat at the base of the Greenland Ice Sheet using fibre-optic sensors
批准号:
2075069
负责人:
金额:
$0.0万
依托单位:
依托单位国家:
英国
项目类别:
Studentship
财政年份:
2018
资助国家:
英国
项目状态:
已结题
起止时间:
2018 至 --
中文摘要
格陵兰冰盖正在加速融化,现在是世界海平面上升的主要组成部分(Shepherd等人,2012年,《科学》)。政府间气候变化专门委员会(Vaughn,2013,IPCC)将这种融化归因于海洋强迫,但最近的研究指出了大气强迫的表面融化的重要性,这可能导致夏季冰上湖泊的形成和排水(Das等人,2008,Science;Moon等人,2014,地球物理)。Rres.Lett.)这些湖泊形成于地理信息系统的较低海拔,可以穿透到冰盖底部,并导致当地冰川加速(Jougin等人,2008年,《科学》)。它们为将大气热量转移到以前孤立的地区提供了一种有效的机制,并已在冷冻-水文变暖理论中得到推断(Peter等人,2010,地球物理)。粘性热耗散(Mankoff和Tulaczyk,2017,冰冻圈)和沿峡湾向冰解锋吸热水(Straeo等人,2011年,《自然》)。这一博士学位将作为监测格陵兰岛水文变化的CUTING EDGE响应者计划的团队成员进行。光纤电缆将放置在格陵兰岛的两个地点,以监测湖泊排水事件期间的应变和热流,可能跨越多个季节。这将提供对排水事件后果的无与伦比的洞察,并与数字模型相结合,将能够更准确地预测未来地理信息系统的动态变化。
英文摘要
The Greenland Ice Sheet (GIS) is melting at an accelerating pace and is now a dominant component of world sea levelrise (Shepherd et al., 2012, Science). The Intergovernmental Panel on Climate Change (Vaughn, 2013, IPCC) attributemuch of this melt to ocean forcing but recent studies point to the importance of atmospherically forced surface melt,which can lead to the formation and drainage of supraglacial lakes over summer (Das et al., 2008, Science; Moon et al.,2014, Geophys. Res. Lett.). These lakes, which form at lower elevations of the GIS, can penetrate to the ice sheet baseand cause local glacier speed up (Jougin et al., 2008, Science). They provide an effective mechanism for the transfer ofatmospheric heat to previously isolated regions and have been inferred in theories of cryo-hydrologic warming (Peter etal., 2010, Geophys. Res. Lett.), viscous heat dissipation (Mankoff and Tulaczyk, 2017, Cryosphere) and drawing warmwater along fjords to calving fronts (Straneo et al., 2011, Nature). This PhD would be undertaken as team member of thecutting edge RESPONDER program to monitor hydrological change in Greenland. Fibre optic cabling would be placed attwo sites in Greenland to monitor strain and heat flow during lake drainage events, potentially over multiple seasons.This would offer unparalleled insight into the consequences of drainage events and, combined with numerical modellingwould enable more accurate prediction of future dynamic change of the GIS.
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