The Age Structure of the Greenland ice sheet from Airborne Radar Data (ASGARD)

机载雷达数据 (ASGARD) 中格陵兰冰盖的年龄结构

基本信息

批准号：
NE/J004804/1
负责人：
Louise Sime
金额：
$ 9.73万
依托单位：
British Antarctic Survey
依托单位国家：
英国
项目类别：
Research Grant
财政年份：
2011
资助国家：
英国
起止时间：
2011 至无数据
项目状态：
已结题

来源：
https://gtr.ukri.org/projects?ref=NE%2FJ004804%2F1
关键词：
Age Structure Greenland ice sheet

项目摘要

Recent observations suggest that the Greenland Ice Sheet, is losing ice at an accelerating rate. Because the ice sheet contains 2.85 million cubic km, equivalent to a global sea level rise of 7.2 m, this melting could contribute substantially to future sea level rise. Despite this, current sea level projections specifically exclude changes in the ice flow of the Greenland ice sheet. This is because of difficulties in knowing whether projected changes in the ice sheet are being correctly modelled. Improving the ability to be able to model ice flow dynamics in Greenland is an urgent problem.To quantify the potential threat that Greenland poses to longer-term global sea-level rise we need a more profound understanding of the internal ice sheet structure. This will help inform how the ice sheet may responses to changing climate. Airborne geophysics provides a means to observe the internal structure of the Greenland ice sheet. Previously, technical difficulties in extracting information, have prevented the use of existing aerogeophysical data. Here, it is proposed to apply new means to overcome these difficulties. The new methods are based on using techniques which have been developed in other research fields. They will be applied here to this new ice sheet aerogeophysical problem, thereby helping to make the best use of pre-existing expensive aerogeophyscial observations. The new methods will describe quantitatively the internal ages of the ice sheet. The new age information extracted will allow glaciologists to test, at the continental-scale, whether models of ice flow are correct. This will help to provide a better understanding of ongoing Greenland ice sheet changes, helping to understand the past and predict the future. This is a necessary step in reducing uncertainties on Greenland mass loss predictions.

最近的观察表明，格陵兰冰盖正在加速失去冰。由于冰盖面积为 285 万立方公里，相当于全球海平面上升 7.2 m，因此这种融化可能会导致未来海平面上升。尽管如此，目前的海平面预测特别排除了格陵兰冰盖冰流的变化。这是因为很难知道冰盖的预计变化是否被正确建模。提高格陵兰岛冰流动力学模型的能力是一个紧迫的问题。为了量化格陵兰岛对长期全球海平面上升构成的潜在威胁，我们需要对内部冰盖结构有更深刻的了解。这将有助于了解冰盖如何应对气候变化。机载地球物理学提供了一种观察格陵兰冰盖内部结构的手段。此前，提取信息的技术困难阻碍了现有航空地球物理数据的使用。在此，建议采用新的手段来克服这些困难。新方法基于使用其他研究领域开发的技术。它们将在这里应用于这个新的冰盖航空地球物理问题，从而有助于充分利用现有的昂贵的航空地球物理观测。新方法将定量描述冰盖的内部年龄。提取的新年龄信息将使冰川学家能够在大陆范围内测试冰流模型是否正确。这将有助于更好地了解格陵兰冰盖正在发生的变化，帮助了解过去并预测未来。这是减少格陵兰岛大规模损失预测的不确定性的必要步骤。

项目成果

期刊论文数量（10）

专著数量（0）

科研奖励数量（0）

会议论文数量（0）

专利数量（0）

Interconnectivity Between Volume Transports Through Arctic Straits

DOI：
10.1029/2018jc014320
发表时间：
2018-12
期刊：
Journal of Geophysical Research: Oceans
影响因子：
0
作者：
A. M. Boer;Estanislao Gavilan Pascual‐Ahuir;D. Stevens;L. Chafik;D. Hutchinson;Qiong Zhang;L. Sime;Andrew J. Willmott-
通讯作者：
A. M. Boer;Estanislao Gavilan Pascual‐Ahuir;D. Stevens;L. Chafik;D. Hutchinson;Qiong Zhang;L. Sime;Andrew J. Willmott-

Machine dependence and reproducibility for coupled climate simulations: the HadGEM3-GC3.1 CMIP Preindustrial simulation

耦合气候模拟的机器依赖性和再现性：HadGEM3-GC3.1 CMIP 工业化前模拟