RAPID: High-Resolution Gravity for Thwaites Glacier

RAPID:思韦茨冰川的高分辨率重力

基本信息

  • 批准号:
    1842064
  • 负责人:
  • 金额:
    $ 10.5万
  • 依托单位:
  • 依托单位国家:
    美国
  • 项目类别:
    Standard Grant
  • 财政年份:
    2018
  • 资助国家:
    美国
  • 起止时间:
    2018-08-15 至 2020-07-31
  • 项目状态:
    已结题

项目摘要

Considerable uncertainty remains in projections of future ice loss from West Antarctica. A recent decadal style U.S. National Academy of Sciences, Engineering, and Medicine report entitled: A Strategic Vision for NSF Investments in Antarctic and Southern Ocean Research (2015) identifies changing ice in Antarctica as one of the highest priority science problems facing communities around the globe. The report identifies Thwaites Glacier as a target for collaborative intense research efforts in the coming years. This project contributes to that effort by deploying an instrument on board airborne surveys that will help to constrain the unknown terrains beneath the Thwaites Ice Shelf and in the region of the grounding line where the inland ice goes afloat. By improving the accuracy and resolution of these data, which are fed into predictive numerical models, the team will help to constrain the magnitude and rate of increase in the contribution of ice from Thwaites Glacier to the global ocean.The team will enhance the capabilities of the already planned British Antarctic Survey aerogeophysics survey of Thwaites Glacier during the 2018/19 field season. Their Inertial Measurement Unit will be paired with a state-of-the-art commercial gravity meter to acquire high-quality and significantly enhanced resolution data both over the ice shelf and at the grounding line. Data will be processed immediately following collection and raw and observed data will be released six months after collection.This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.
对南极洲西部未来冰损失的预测仍然存在相当大的不确定性。美国国家科学、工程和医学研究院最近发布的一份题为《国家科学基金会投资南极和南大洋研究的战略愿景》(2015 年)的十年报告指出,南极洲冰层变化是全球社区面临的最优先的科学问题之一。该报告将思韦茨冰川确定为未来几年密集合作研究的目标。该项目通过在机载勘测上部署仪器来促进这一努力,这将有助于限制思韦茨冰架下方和内陆冰漂浮的接地线区域的未知地形。 通过提高这些数据的准确性和分辨率,并将其输入到预测数值模型中,该团队将有助于限制思韦茨冰川对全球海洋的贡献的幅度和增加速度。该团队将增强英国南极调查局已计划在2018/19实地季节期间对思韦茨冰川进行航空地球物理调查的能力。 他们的惯性测量装置将与最先进的商用重力计配对,以获取冰架和接地线上的高质量且分辨率显着提高的数据。数据将在收集后立即进行处理,原始数据和观察到的数据将在收集后六个月发布。该奖项反映了 NSF 的法定使命,并通过使用基金会的智力价值和更广泛的影响审查标准进行评估,被认为值得支持。

项目成果

期刊论文数量(2)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
Seafloor Depth of George VI Sound, Antarctic Peninsula, From Inversion of Aerogravity Data
根据航空重力数据反演得出的南极半岛乔治六世海峡海底深度
  • DOI:
    10.1029/2020gl088654
  • 发表时间:
    2020
  • 期刊:
  • 影响因子:
    5.2
  • 作者:
    Constantino, Renata R.;Tinto, Kirsty J.;Bell, Robin E.;Porter, David F.;Jordan, Tom A.
  • 通讯作者:
    Jordan, Tom A.
New gravity-derived bathymetry for the Thwaites, Crosson, and Dotson ice shelves revealing two ice shelf populations
  • DOI:
    10.5194/tc-14-2869-2020
  • 发表时间:
    2020-09-09
  • 期刊:
  • 影响因子:
    5.2
  • 作者:
    Jordan, Tom A.;Porter, David;Paden, John D.
  • 通讯作者:
    Paden, John D.
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Kirsteen Tinto其他文献

Kirsteen Tinto的其他文献

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{{ truncateString('Kirsteen Tinto', 18)}}的其他基金

Collaborative Research: Conference: Interdisciplinary Antarctic Earth Science Conference & Deep-Field Planning Workshop
合作研究:会议:跨学科南极地球科学会议
  • 批准号:
    2231559
  • 财政年份:
    2022
  • 资助金额:
    $ 10.5万
  • 项目类别:
    Standard Grant
Collaborative Research: EarthCube Capabilities: Open Polar Radar (OPoRa) Software and Service
合作研究:EarthCube 功能:开放极地雷达 (OPoRa) 软件和服务
  • 批准号:
    2126468
  • 财政年份:
    2021
  • 资助金额:
    $ 10.5万
  • 项目类别:
    Standard Grant
Collaborative Research: Building Geologically Informed Bed Classes to Improve Projections of Ice Sheet Change
合作研究:建立地质信息床类以改进冰盖变化的预测
  • 批准号:
    2002346
  • 财政年份:
    2020
  • 资助金额:
    $ 10.5万
  • 项目类别:
    Standard Grant
NNA Track 1: Predicting coastal responses to a changing Greenland ice sheet
NNA 第 1 轨道:预测沿海地区对格陵兰冰盖变化的反应
  • 批准号:
    1928146
  • 财政年份:
    2019
  • 资助金额:
    $ 10.5万
  • 项目类别:
    Standard Grant

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基于Resolution算法的交互时态逻辑自动验证机
  • 批准号:
    61303018
  • 批准年份:
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  • 资助金额:
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CAREER: Inversion of Localized High-Resolution Polar Gravity Fields to Estimate Mass Change
职业:反演局部高分辨率极地重力场以估计质量变化
  • 批准号:
    2142980
  • 财政年份:
    2022
  • 资助金额:
    $ 10.5万
  • 项目类别:
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ISS: Understanding the Gravity Effect on Flow Boiling Through High-Resolution Experiments and Machine Learning
ISS:通过高分辨率实验和机器学习了解重力对流动沸腾的影响
  • 批准号:
    2126437
  • 财政年份:
    2021
  • 资助金额:
    $ 10.5万
  • 项目类别:
    Standard Grant
Collaborative Research: Framework: Improving the Understanding and Representation of Atmospheric Gravity Waves using High-Resolution Observations and Machine Learning
合作研究:框架:利用高分辨率观测和机器学习提高对大气重力波的理解和表示
  • 批准号:
    2004512
  • 财政年份:
    2020
  • 资助金额:
    $ 10.5万
  • 项目类别:
    Standard Grant
Collaborative Research: Framework: Improving the Understanding and Representation of Atmospheric Gravity Waves using High-Resolution Observations and Machine Learning
合作研究:框架:利用高分辨率观测和机器学习提高对大气重力波的理解和表示
  • 批准号:
    2004572
  • 财政年份:
    2020
  • 资助金额:
    $ 10.5万
  • 项目类别:
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Collaborative Research: Framework: Improving the Understanding and Representation of Atmospheric Gravity Waves using High-Resolution Observations and Machine Learning
合作研究:框架:利用高分辨率观测和机器学习提高对大气重力波的理解和表示
  • 批准号:
    2004492
  • 财政年份:
    2020
  • 资助金额:
    $ 10.5万
  • 项目类别:
    Standard Grant
Collaborative Research: Framework: Improving the Understanding and Representation of Atmospheric Gravity Waves using High-Resolution Observations and Machine Learning
合作研究:框架:利用高分辨率观测和机器学习提高对大气重力波的理解和表示
  • 批准号:
    2005123
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Resolution of Singularities in Quantum Gravity and Quantum Cosmology.
量子引力和量子宇宙学中奇点的解决。
  • 批准号:
    2153880
  • 财政年份:
    2018
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    $ 10.5万
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A study on thermospheric gravity wave using a high resolution atmosphere-ionosphere model
利用高分辨率大气-电离层模型研究热层重力波
  • 批准号:
    15H03733
  • 财政年份:
    2015
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    $ 10.5万
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    Grant-in-Aid for Scientific Research (B)
Singularity Resolution in Quantum Gravity
量子引力中的奇点分辨率
  • 批准号:
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  • 财政年份:
    2014
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Consistent Estimate of Ultra-High Resolution Earth Surface Gravity Data (UHR-GravDat)
超高分辨率地球表面重力数据的一致估计(UHR-GravDat)
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    240332671
  • 财政年份:
    2013
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    $ 10.5万
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