C440: Tracking atmospheric heat at the base of the Greenland Ice Sheet using fibre-optic sensors

格陵兰冰盖（GIS）正在加速融化，现在是世界海平面上升的主要组成部分（Shepherd et al., 2012, Science）。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表面融化的重要性，这可能导致夏季冰川上湖泊的形成和排水（Das et al., 2008, Science; Moon et al.,2014, Geophys）。卷)。这些湖泊形成于地理信息系统的低海拔地区，可以渗透到冰盖底部，并导致当地冰川加速（Jougin et al., 2008, Science）。它们为大气热量向以前孤立的地区转移提供了一种有效的机制，并在低温水文变暖理论中得到了推断（彼得等）。， 2010，地球物理学报。Res. Lett.)，粘性散热（Mankoff和Tulaczyk， 2017, Cryosphere）以及沿着峡湾将温暖的水吸引到产犊前沿（Straneo等人，2011,Nature）。该博士学位将作为最前沿的RESPONDER项目的团队成员进行，以监测格陵兰的水文变化。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压力和热流，可能跨越多个季节。这将对排水事件的后果提供无与伦比的洞察力，并与数值模拟相结合，将能够更准确地预测GIS未来的动态变化。

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.