EAGER: Exploring a community driven data-model framework for testing the stability of the Greenland Ice Sheet
EAGER:探索社区驱动的数据模型框架来测试格陵兰冰盖的稳定性
基本信息
- 批准号:1837544
- 负责人:
- 金额:$ 27.88万
- 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:2018-09-01 至 2020-08-31
- 项目状态:已结题
- 来源:
- 关键词:
项目摘要
In the wake of devastating flooding related to recent hurricane strikes on densely inhabited areas, the potential impact of sea level rise has never been more evident. Rising sea level is challenging societies around the globe, but current predictions of future sea level rise contain uncertainty. Greenland's ice, if fully melted, would raise global sea levels more than 7 m. However, at present, we do not have data or models that allow for a definitive consensus view of Greenland Ice Sheet vulnerability to climate change, and our sea level predictions are only as good as our ability to model Greenland Ice Sheet change using computer simulations and the data driving those simulations. Vast datasets of observations and increasingly sophisticated computer models are being employed to solve this problem. Yet, significant knowledge and disciplinary barriers make collaboration between data and model groups the exception rather than the norm. The PIs propose to establish a community-building scientific and educational cyber hub to enable seamless access to data, and coordination and synergy between different scientific disciplines. The overarching goal is to increase the accuracy of predictions of the Greenland Ice Sheet contribution to sea level rise by 2050, 2100 and beyond. The project will support two female PIs (one of which is a young investigator) and partial funding for two graduate students.Observational datasets of Greenland Ice Sheet change, both from the satellite era and the recent geologic past, are rapidly expanding. Some of these observations have been used for calibration and validation of ice sheet models thereby improving the physical understanding of ice sheet behavior and estimates of future sea level rise. But substantial data-model gaps remain due to the knowledge barrier of understanding and using satellite- and paleo-data and the lack of a standard framework for using available observational datasets in ice sheet modeling experiments. There is significant potential to generate a long-lasting cyberinfrastructure framework with ice sheet data, software tools, online cloud-based execution and educational materials. When combined, this would lead to rapid progress in improving ice sheet modeling capability and decreasing uncertainty in sea level rise forecasting. The PIs will bring together experts in ice sheet observation, data analysis and modeling to guide the creation of a community hub that will enable two-way communication between data generators and modelers. The PIs will pilot software tools necessary to facilitate interoperability among the various data sets and modeling tools and investigate new metrics for model-data intercomparison and model assessment.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.
在最近飓风袭击人口稠密地区造成毁灭性洪水之后,海平面上升的潜在影响从未如此明显。海平面上升对地球仪的社会构成挑战,但目前对未来海平面上升的预测存在不确定性。格陵兰岛的冰如果完全融化,将使全球海平面上升7米以上。然而,目前,我们还没有数据或模型来确定格陵兰冰盖对气候变化的脆弱性,我们的海平面预测只能与我们使用计算机模拟和驱动这些模拟的数据来模拟格陵兰冰盖变化的能力一样好。大量的观测数据集和日益复杂的计算机模型正在被用来解决这个问题。然而,重大的知识和学科障碍使数据和模型组之间的合作成为例外而不是常态。该计划建议建立一个社区建设科学和教育网络中心,以实现数据的无缝访问,以及不同科学学科之间的协调和协同作用。总体目标是提高格陵兰冰盖对2050年、2100年及以后海平面上升影响的预测准确性。该项目将资助两名女PI(其中一名是年轻的调查员),并为两名研究生提供部分资金。格陵兰冰盖变化的观测数据集,无论是从卫星时代还是最近的地质过去,都在迅速扩大。其中一些观测结果已被用于冰盖模型的校准和验证,从而提高了对冰盖行为的物理理解和对未来海平面上升的估计。但是,由于理解和使用卫星和古数据的知识障碍以及缺乏在冰盖建模实验中使用现有观测数据集的标准框架,数据模型仍然存在巨大的差距。利用冰盖数据、软件工具、基于云的在线执行和教育材料,建立一个长期的网络基础设施框架的潜力很大。如果结合起来,这将导致在提高冰盖建模能力和减少海平面上升预测的不确定性方面取得迅速进展。PI将汇集冰盖观测,数据分析和建模方面的专家,以指导社区中心的创建,该中心将实现数据生成器和建模人员之间的双向通信。PI将试验必要的软件工具,以促进各种数据集和建模工具之间的互操作性,并研究模型数据相互比较和模型评估的新指标。该奖项反映了NSF的法定使命,并已被认为是值得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的支持。
项目成果
期刊论文数量(0)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
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Jason Briner其他文献
Jason Briner的其他文献
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{{ truncateString('Jason Briner', 18)}}的其他基金
Collaborative Research: GRate – Integrating data and modeling to quantify rates of Greenland Ice Sheet change, Holocene to future
合作研究:GRate — 整合数据和模型来量化格陵兰冰盖变化率、全新世到未来
- 批准号:
2106971 - 财政年份:2021
- 资助金额:
$ 27.88万 - 项目类别:
Standard Grant
Collaborative Research: Frameworks: Ghub as a Community-Driven Data-Model Framework for Ice-Sheet Science
合作研究:框架:Ghub 作为社区驱动的冰盖科学数据模型框架
- 批准号:
2004826 - 财政年份:2020
- 资助金额:
$ 27.88万 - 项目类别:
Standard Grant
Collaborative Research: GreenDrill: The response of the northern Greenland Ice Sheet to Arctic Warmth - Direct constrains from sub-ice bedrock
合作研究:GreenDrill:格陵兰岛北部冰盖对北极温暖的响应 - 来自冰下基岩的直接限制
- 批准号:
1933938 - 财政年份:2020
- 资助金额:
$ 27.88万 - 项目类别:
Continuing Grant
Benchmarking Spatial Patterns of Glacier Change
冰川变化的空间模式基准测试
- 批准号:
1853705 - 财政年份:2019
- 资助金额:
$ 27.88万 - 项目类别:
Standard Grant
The Stability of the Greenland Ice Sheet
格陵兰冰盖的稳定性
- 批准号:
1741833 - 财政年份:2017
- 资助金额:
$ 27.88万 - 项目类别:
Standard Grant
Doctoral Dissertation Research: Late Pleistocene Glaciation in Southeastern Alaska: Assessing the Sensitivity of a Marine-Terminating Ice Sheet to Changing Environmental Conditions
博士论文研究:阿拉斯加东南部更新世晚期冰川作用:评估海洋终止冰盖对环境条件变化的敏感性
- 批准号:
1657065 - 财政年份:2017
- 资助金额:
$ 27.88万 - 项目类别:
Standard Grant
Collaborative Research: Ice sheet sensitivity in a changing Arctic system - using Geologic data and modeling to test the stable Greenland Ice Sheet hypothesis
合作研究:不断变化的北极系统中的冰盖敏感性 - 使用地质数据和建模来检验稳定的格陵兰冰盖假说
- 批准号:
1504267 - 财政年份:2015
- 资助金额:
$ 27.88万 - 项目类别:
Standard Grant
Collaborative Research: Testing Arctic Ice Sheet Sensitivity to Abrupt Climate Change
合作研究:测试北极冰盖对气候突变的敏感性
- 批准号:
1417783 - 财政年份:2014
- 资助金额:
$ 27.88万 - 项目类别:
Standard Grant
The Response of the Greenland Ice Sheet to Holocene Climate Change: Testing Ice Sheet Models and Forcing Mechanisms of Ice-Margin Change
格陵兰冰盖对全新世气候变化的响应:测试冰盖模型和冰缘变化的强迫机制
- 批准号:
1156361 - 财政年份:2012
- 资助金额:
$ 27.88万 - 项目类别:
Standard Grant
Collaborative Research: Arctic Sensitivity to Climate Perturbations and a Millenial Perspective on Current Warming Derived from Shrinking Ice Caps
合作研究:北极对气候扰动的敏感性以及对冰盖缩小导致的当前变暖的千年视角
- 批准号:
1204005 - 财政年份:2012
- 资助金额:
$ 27.88万 - 项目类别:
Standard Grant
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