Evolution of Glacial Meltwater in the North Atlantic Current - Subpolar Front System
北大西洋洋流-副极锋系统中冰川融水的演化
基本信息
- 批准号:2202771
- 负责人:
- 金额:$ 44.96万
- 依托单位:
- 依托单位国家:美国
- 项目类别:Standard Grant
- 财政年份:2022
- 资助国家:美国
- 起止时间:2022-06-01 至 2025-05-31
- 项目状态:未结题
- 来源:
- 关键词:
项目摘要
The melting of the great ice sheets of the last Ice Age caused sea level to rise by about 130 m globally. In this project a computer model will be developed to simulate the pathways of glacial water introduced into the North Atlantic Ocean from the Laurentide Ice Sheet – the great ice sheet that covered northern North America during the last Ice Age. The project will include modeling of small-scale eddies and their influence on glacial water movements which will help in the understanding of the ocean’s response to ice sheet changes. The results will be important for understanding the role of glacial waters released today from other ice sheets such as the Greenland Ice Sheet. The project will support a graduate student and three undergraduate students, and a how-to manual will be produced so that scientists can use or adapt the model for other projects.A numerical model which represents ocean circulation and sea ice and which resolves ocean mesoscale eddies will be developed to produce detailed simulations of the evolution of glacial water in the North Atlantic Current-Subpolar Front system. Focus will be on glacial meltwater which emanated from the Laurentide Ice Sheet at different locations along the Labrador Shelf, where evidence for ice streams delivering material into the sub-polar gyre exists, and through Fram Strait, which will allow representation of a source of meltwater from the Arctic Ocean, and in particular the Mackenzie River. Two questions will be addressed: (1) To which extent are the temperature and salinity of glacial waters modified as they flow towards deep-water formation areas in the northern North Atlantic? (2) Which processes (eddy-induced mixing or air-sea interactions) most effectively modify the properties of glacial waters en route to these areas? The work plan to address these questions is threefold. First, a coupled ocean circulation-sea-ice model will be configured to represent the subpolar North Atlantic. Second, the coupled model will be tested by using modern observations from oceanographic cruises, hydrographic climatologies, and satellite missions. Finally, experiments with the coupled model will be conducted and analyzed to quantify the erosion of glacial water properties en route to deep-water formation regions and evaluate the role of different eroding factors.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.
最后的冰的融化导致全球海平面上升约130 m,以模拟从劳伦德(Laurentide)冰盖(Laurentide Ice)引入北大西洋的冰川水的途径,这是上一个冰河时代覆盖北部北部的伟大。对冰川的运动将有助于海洋对ICEAN对ECESHET的反应,这对于今天的其他冰块(例如Greenland Ices)的角色很重要。并将制作一项操作手册,以便科学家可以将模型使用或适应其他项目。代表海洋循环的数值模型以及哪些分辨率海洋中尺度编辑将被逐渐逐渐逐渐制作,以详细介绍详细的模拟冰川水在北大西洋电流 - 波形前系统。从北极海洋,尤其是麦肯河河中,将解决两个问题:(1)d的北部大西洋河流的流动范围(2)?涡流诱导的混合或空气互动)是三倍。卫星任务与耦合模型进行了量化,以量化Deep-Water形成区域的途径,但使用基金会的智力优点和更广泛的影响。
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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Olivier Marchal其他文献
Hearing the shape of an arena with spectral swarm robotics
使用光谱群机器人聆听竞技场的形状
- DOI:
- 发表时间:
2024 - 期刊:
- 影响因子:0
- 作者:
L. Cazenille;Nicolas Lobato;Alessia Loi;Mika Ito;Olivier Marchal;N. Aubert;Nicolas Bredèche;A. Genot - 通讯作者:
A. Genot
Топологическое разложение модели $\beta$-ансамбля и квантовая алгебраическая геометрия в рамках секторного подхода@@@Topological expansion of the $\beta$-ensemble model and quantum algebraic geometry in the sectorwise approach
Топологическое разложение модели $eta$-ансамбля и квантовая алгебраическая геометрия в $eta$-系综模型的拓扑展开和扇区方法中的量子代数几何
- DOI:
10.4213/tmf6603 - 发表时间:
2011 - 期刊:
- 影响因子:0
- 作者:
Леонид Олегович Чехов;L. Chekhov;Б Эйнард;Bertrand Eynard;О Маршал;Olivier Marchal - 通讯作者:
Olivier Marchal
Aspects géométriques et intégrables des modèles de matrices aléatoires
- DOI:
- 发表时间:
2011-01 - 期刊:
- 影响因子:0
- 作者:
Olivier Marchal - 通讯作者:
Olivier Marchal
Optimal sub-Gaussian variance proxy for truncated Gaussian and exponential random variables
截断高斯和指数随机变量的最佳亚高斯方差代理
- DOI:
- 发表时间:
2024 - 期刊:
- 影响因子:0
- 作者:
Mathias Barreto;Olivier Marchal;Julyan Arbel - 通讯作者:
Julyan Arbel
Olivier Marchal的其他文献
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{{ truncateString('Olivier Marchal', 18)}}的其他基金
Deep-sea sediment redistribution induced by a meandering Gulf Stream
蜿蜒的墨西哥湾流引起的深海沉积物重新分布
- 批准号:
1949536 - 财政年份:2020
- 资助金额:
$ 44.96万 - 项目类别:
Standard Grant
Offshore Export of Glacial Water and Ice in an Eddying Ocean
涡流海洋中冰川水和冰的近海输出
- 批准号:
1903427 - 财政年份:2019
- 资助金额:
$ 44.96万 - 项目类别:
Standard Grant
Collaborative Proposal: Estimation of particle aggregation and disaggregation rates from the inversion of chemical tracer data
合作提案:通过化学示踪数据反演估计颗粒聚集和解聚率
- 批准号:
1829790 - 财政年份:2018
- 资助金额:
$ 44.96万 - 项目类别:
Standard Grant
A Least-Squares Fit of an Ocean Model to Deglacial Radiocarbon Records
海洋模型与冰下放射性碳记录的最小二乘拟合
- 批准号:
1702417 - 财政年份:2017
- 资助金额:
$ 44.96万 - 项目类别:
Standard Grant
Pa-231 and Th-230 in the Western North Atlantic: Disentangling the Effects of Boundary Scavenging and Ocean Circulation
北大西洋西部的 Pa-231 和 Th-230:解开边界清除和海洋环流的影响
- 批准号:
1556400 - 财政年份:2016
- 资助金额:
$ 44.96万 - 项目类别:
Standard Grant
Application of Transient Time Distributions to Ocean Radiocarbon Records for the Last Deglaciation
瞬态时间分布在末次冰消期海洋放射性碳记录中的应用
- 批准号:
1301907 - 财政年份:2013
- 资助金额:
$ 44.96万 - 项目类别:
Standard Grant
Selecting and Applying an Inverse Method to Infer Particle Dynamics from GEOTRACES Data
选择并应用反演方法从 GEOTRACES 数据推断粒子动力学
- 批准号:
1232578 - 财政年份:2012
- 资助金额:
$ 44.96万 - 项目类别:
Standard Grant
Kalman Filtering and Smoothing of Sediment Records from the Atlantic Ocean over the last 20 KYRS
过去 20 KYRS 大西洋沉积物记录的卡尔曼过滤和平滑
- 批准号:
1103395 - 财政年份:2011
- 资助金额:
$ 44.96万 - 项目类别:
Standard Grant
Testing a Role of Vertical Mixing in Abrupt Climate Change
测试垂直混合在气候突变中的作用
- 批准号:
0602230 - 财政年份:2006
- 资助金额:
$ 44.96万 - 项目类别:
Standard Grant
Inverse Modeling of the Glacial Ocean
冰川海洋的反演模拟
- 批准号:
0524927 - 财政年份:2005
- 资助金额:
$ 44.96万 - 项目类别:
Continuing Grant
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