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

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
批准号:
NE/J004804/1
负责人:
Louise Sime
金额:
$9.73万
依托单位:
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
项目状态:
已结题
起止时间:
2011 至 --

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中文摘要
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英文摘要
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.
期刊论文(10)
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科研奖励(0)
会议论文
DOI: 10.1029/2018jc014320
发表时间: 2018-12
期刊: Journal of Geophysical Research: Oceans
影响因子: --
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
DOI: 10.5194/gmd-13-139-2020
发表时间: 2020
期刊: Geoscientific Model Development
影响因子: 5.1
作者: [Guarino M]
通讯作者: Guarino M
Simulating the Last Interglacial Greenland stable water isotope peak: The role of Arctic sea ice changes
模拟最后一次间冰期格陵兰稳定水同位素峰:北极海冰变化的作用
DOI: 10.1016/j.quascirev.2018.07.027
发表时间: 2018
期刊: Quaternary Science Reviews
影响因子: 4
作者: [Malmierca-Vallet I]
通讯作者: Malmierca-Vallet I
Machine dependence as a source of uncertainty in climate models: The HadGEM3-GC3.1 CMIP Preindustrial simulation
机器依赖是气候模型不确定性的来源:HadGEM3-GC3.1 CMIP 工业化前模拟
DOI: 10.5194/gmd-2019-83
发表时间: 2019
期刊:
影响因子: --
作者: [Guarino M]
通讯作者: Guarino M
7
    SURface FluxEs In AnTarctica (SURFEIT)
    • 批准号:
      NE/X009319/1
    • 项目类别:
      Research Grant
    • 资助金额:
      $270.86万
    • 财政年份:
      2022
    • 负责人:
      Louise Sime
    • 依托单位:
    Retreat of Southern Hemisphere Sea Ice, 130 000 to 116 000 years BP
    • 批准号:
      NE/P013279/1
    • 项目类别:
      Research Grant
    • 资助金额:
      $38.01万
    • 财政年份:
      2017
    • 负责人:
      Louise Sime
    • 依托单位:
    NSFGEO-NERC Paleoclimate signatures of the climate response to West Antarctic ice sheet collapse
    • 批准号:
      NE/P009271/1
    • 项目类别:
      Research Grant
    • 资助金额:
      $25.78万
    • 财政年份:
      2016
    • 负责人:
      Louise Sime
    • 依托单位:
    海外基金