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.

最近的观察结果表明，格陵兰冰盖正在以加速速度失去冰。由于冰盖含有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的海平面上升。尽管如此，目前的海平面预测专门排除了格陵兰冰盖冰流的变化。这是因为很难知道是否正确建模了冰盖的预计变化。提高能够建模格陵兰岛的冰流动态的能力是一个紧迫的问题。要量化格陵兰对长期全球海平面上升的潜在威胁，我们需要对内部冰盖结构有更深入的了解。这将有助于告知冰盖如何对气候变化的响应。机载地球物理学提供了一种观察格陵兰冰盖内部结构的方法。以前，提取信息的技术困难已阻止使用现有的航空地球物理数据。在这里，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。它们将在此处应用于这个新的冰盖航空地质物理问题，从而有助于充分利用预先存在的昂贵的空气地球体生理观测。新方法将对冰盖的内部年龄进行定量描述。提取的新年龄信息将使冰川学家在大陆尺度上测试冰流的模型是否正确。这将有助于更好地了解正在进行的格陵兰冰盖变化，有助于了解过去并预测未来。这是减少格陵兰质量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