Collaborative Research: Controls on the motion of soft-bedded glaciers from hourly to seasonal observations of force budget and basal conditions at Breidamerkurjokull, Iceland.

合作研究:冰岛 Breidamerkurjokull 的软层冰川运动控制,从每小时到季节性的力量预算和基础条件观测。

基本信息

项目摘要

Funds are provided to support a study of the spatial and temporal variability in basal stress regime of Breiðamerkurjökull, a glacier with deformable sediments at its base (a soft-bedded glacier). Soft-bedded ice masses are thought to be particularly sensitive to climate change. Yet, the mechanics of soft-bedded glacier flow remain poorly understood. Current ice sheet and glacier models used to predict future sea level rise rely on largely unconstrained parameterizations of basal shear stress and till rheology, leading to high uncertainties in output. This study will collect and analyze data targeted at elucidating weaknesses in current understanding of soft-bedded glacier motion, thus providing improved quantitative descriptions of the governing physical processes. Taking advantage of Breiðamerkurjökull?s accessibility and long history of observations the principal investigators will assemble an unprecedented array of remote-sensing and field data. These data will resolve variations in the glacier stress regime and basal conditions over a range of spatial and temporal scales. This study will develop new and innovative techniques for inferring basal conditions from observations of surface motion and ice-penetrating radar.
提供的资金用于支持对Brei Ia amerkurjökull冰川(一种底部有可变形沉积物的冰川)基本应力状态的空间和时间变异性的研究。软冰层被认为对气候变化特别敏感。然而,人们对软层冰川流动的机制仍然知之甚少。目前用于预测未来海平面上升的冰盖和冰川模型基本上依赖于基本剪应力和冰川流变学的无约束参数,导致产出的高度不确定性。这项研究将收集和分析数据,旨在阐明目前对软层冰川运动的理解中的弱点,从而改进对主导物理过程的定量描述。主要调查人员将利用布雷加·阿梅尔库尔库?S的可及性和悠久的观测历史,收集前所未有的遥感和实地数据。这些数据将解决一系列空间和时间尺度上冰川应力状况和基本条件的变化。这项研究将开发新的创新技术,从地表运动和冰层穿透雷达的观测中推断基本条件。

项目成果

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Ian Howat其他文献

Super-resolution deep neural networks for water classification from free multispectral satellite imagery
用于根据免费多光谱卫星图像进行水分类的超分辨率深度神经网络
  • DOI:
  • 发表时间:
    2023
  • 期刊:
  • 影响因子:
    6.4
  • 作者:
    Ziwei Li;Wei Ji Leong;M. Durand;Ian Howat;Kylie Wadkowski;Bidhyananda Yadav;J. Moortgat
  • 通讯作者:
    J. Moortgat
Ice tongue calving in Antarctica triggered by the Hunga Tonga volcanic tsunami, January 2022
  • DOI:
    10.1016/j.scib.2023.02.022
  • 发表时间:
    2023
  • 期刊:
  • 影响因子:
    18.9
  • 作者:
    Qi Liang;Teng Li;Ian Howat;Wanxin Xiao;Fengming Hui;Zhuoqi Chen;Lei Zheng;Xiao Cheng
  • 通讯作者:
    Xiao Cheng
Increasing risk of glacial lake outburst flood in Sikkim, Eastern Himalaya under climate warming
气候变暖导致喜马拉雅东部锡金地区冰川湖溃决洪水风险增加
Using river hypsometry to improve remote sensing of river discharge
  • DOI:
    10.1016/j.rse.2024.114455
  • 发表时间:
    2024-12-15
  • 期刊:
  • 影响因子:
  • 作者:
    Michael Durand;Chunli Dai;Joachim Moortgat;Bidhyananda Yadav;Renato Prata de Moraes Frasson;Ziwei Li;Kylie Wadkwoski;Ian Howat;Tamlin M. Pavelsky
  • 通讯作者:
    Tamlin M. Pavelsky

Ian Howat的其他文献

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{{ truncateString('Ian Howat', 18)}}的其他基金

Antarctic Ice Front, Shelf and Grounding Line Dynamics from High-resolution, Commercial Satellite Imagery and Elevation Data
来自高分辨率商业卫星图像和高程数据的南极冰锋、陆架和接地线动态
  • 批准号:
    2217574
  • 财政年份:
    2022
  • 资助金额:
    $ 22.2万
  • 项目类别:
    Standard Grant
The Reference Elevation Model of Antarctica (REMA): A High Resolution, Time-Stamped Digital Elevation Model for the Antarctic Ice Sheet
南极洲参考高程模型 (REMA):南极冰盖的高分辨率、带时间戳的数字高程模型
  • 批准号:
    1543501
  • 财政年份:
    2016
  • 资助金额:
    $ 22.2万
  • 项目类别:
    Continuing Grant
Automated, High Resolution Terrain Generation for XSEDE
XSEDE 自动生成高分辨率地形
  • 批准号:
    1542736
  • 财政年份:
    2015
  • 资助金额:
    $ 22.2万
  • 项目类别:
    Standard Grant

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