Collaborative Research: Leveraging the AMOC arrays and models to understand heat and freshwater transports in the North Atlantic
合作研究:利用 AMOC 阵列和模型了解北大西洋的热量和淡水输送
基本信息
- 批准号:1924546
- 负责人:
- 金额:$ 59.04万
- 依托单位:
- 依托单位国家:美国
- 项目类别:Standard Grant
- 财政年份:2019
- 资助国家:美国
- 起止时间:2019-09-01 至 2024-08-31
- 项目状态:已结题
- 来源:
- 关键词:
项目摘要
The Atlantic meridional overturning circulation (AMOC) is a large-scale redistribution of heat and freshwater that impacts weather and climate. This project will use numerical models of the ocean circulation to examine the long record of observations from moorings deployed in the North Atlantic. The goals include diagnosing the mass, heat, and freshwater fluxes of the AMOC and assessing the relationships between observations of ocean properties at the moorings and ocean or atmospheric properties at other locations. The project will also determine the optimal mooring array design for observing the AMOC. The project includes outreach to middle and high school students entered around the North Atlantic Ocean and its unique role in climate.This project will use a suite of ocean models, including the ECCO variational data assimilation model system, to examine the long time-series of observations from North Atlantic mooring arrays (including OSNAP and RAPID-MOCHA). The goals include: assimilation of Atlantic array data into global and regional ocean state estimates to assess the value they add to independent elements of the Global Ocean Observing System; diagnosing relationship of observed mass, heat and freshwater transport variability at the arrays to causal atmospheric forcing; identification of the potential for the array data to serve as proxies for remote, unobserved variables or indices of key oceanic and climatic relevance; and determining the optimal redesign of the OSNAP array for observing AMOC. The proposed research will complement ongoing major investments by NSF in observing the ocean role in climate through the AMOC and promises to ensure that future investments are as effective as possible.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.
大西洋经向翻转环流(AMOC)是影响天气和气候的热量和淡水的大规模重新分配。 该项目将使用海洋环流的数值模型来检查北大西洋部署的系泊装置的长期观测记录。目标包括诊断 AMOC 的质量、热量和淡水通量,并评估系泊处海洋特性的观测结果与其他位置的海洋或大气特性之间的关系。该项目还将确定用于观测 AMOC 的最佳系泊阵列设计。该项目包括向进入北大西洋周围的中学生和高中生及其在气候中的独特作用进行推广。该项目将使用一套海洋模型,包括 ECCO 变分数据同化模型系统,来检查长期的时间序列来自北大西洋系泊阵列的观测(包括 OSNAP 和 RAPID-MOCHA)。目标包括: 将大西洋阵列数据同化为全球和区域海洋状态估计,以评估它们为全球海洋观测系统独立要素增加的价值;诊断阵列中观测到的质量、热量和淡水输送变化与因果大气强迫的关系;确定阵列数据作为远程、未观测到的变量或关键海洋和气候相关指数的代理的潜力;并确定用于观测 AMOC 的 OSNAP 阵列的最佳重新设计。拟议的研究将补充 NSF 通过 AMOC 观察海洋在气候中的作用方面正在进行的重大投资,并承诺确保未来的投资尽可能有效。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。
项目成果
期刊论文数量(6)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
An Improved and Observationally‐Constrained Melt Rate Parameterization for Vertical Ice Fronts of Marine Terminating Glaciers
海洋终止冰川垂直冰锋的改进和观测约束融化速率参数化
- DOI:10.1029/2022gl100654
- 发表时间:2022-09
- 期刊:
- 影响因子:5.2
- 作者:Schulz, K.;Nguyen, A. T.;Pillar, H. R.
- 通讯作者:Pillar, H. R.
Atmospheric Warming Drives Growth in Arctic Sea Ice: A Key Role for Snow
大气变暖推动北极海冰增长:雪的关键作用
- DOI:10.1029/2020gl090236
- 发表时间:2020-10
- 期刊:
- 影响因子:5.2
- 作者:Bigdeli, A.;Nguyen, A. T.;Pillar, H. R.;Ocaña, V.;Heimbach, P.
- 通讯作者:Heimbach, P.
Distinct sources of interannual subtropical and subpolar Atlantic overturning variability
年际副热带和副极地大西洋翻转变化的不同来源
- DOI:10.1038/s41561-021-00759-4
- 发表时间:2021-07
- 期刊:
- 影响因子:18.3
- 作者:Kostov, Yavor;Johnson, Helen L.;Marshall, David P.;Heimbach, Patrick;Forget, Gael;Holliday, N. Penny;Lozier, M. Susan;Li, Feili;Pillar, Helen R.;Smith, Timothy
- 通讯作者:Smith, Timothy
Leveraging Uncertainty Quantification to Design Ocean Climate Observing Systems
利用不确定性量化设计海洋气候观测系统
- DOI:10.1029/2020ms002386
- 发表时间:2021-04
- 期刊:
- 影响因子:6.8
- 作者:Loose, Nora;Heimbach, Patrick
- 通讯作者:Heimbach, Patrick
Quantifying Dynamical Proxy Potential Through Shared Adjustment Physics in the North Atlantic
通过北大西洋共享调整物理学来量化动力代理潜力
- DOI:10.1029/2020jc016112
- 发表时间:2020-08
- 期刊:
- 影响因子:0
- 作者:Loose, N.;Heimbach, P.;Pillar, H. R.;Nisancioglu, K. H.
- 通讯作者:Nisancioglu, K. H.
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Patrick Heimbach其他文献
A Strategy for a Global Observing System for Verification of National Greenhouse Gas Emissions
核查国家温室气体排放的全球观测系统战略
- DOI:
- 发表时间:
2011 - 期刊:
- 影响因子:0
- 作者:
R. Prinn;Patrick Heimbach;M. Rigby;S. Dutkiewicz;J. Melillo;J. Reilly;D. Kicklighter;C. Waugh - 通讯作者:
C. Waugh
Open Code Policy for NASA Space Science: A Perspective from NASA-Supported Ocean Modeling and Ocean Data Analysis
NASA 空间科学的开放代码政策:NASA 支持的海洋建模和海洋数据分析的视角
- DOI:
- 发表时间:
2018 - 期刊:
- 影响因子:0
- 作者:
S. Gille;Ryan Abernathey;T. Chereskin;B. Cornuelle;Patrick Heimbach;M. Mazloff;Cesar B. Rocha;Saulo Soares;Maike Sonnewald;Bia Villas Boas;Jinbo Wang - 通讯作者:
Jinbo Wang
Parametric Sensitivities of a Wind-driven Baroclinic Ocean Using Neural Surrogates
使用神经代理的风驱动斜压海洋的参数敏感性
- DOI:
10.1145/3659914.3659920 - 发表时间:
2024-04-15 - 期刊:
- 影响因子:12.3
- 作者:
Yixuan Sun;Elizabeth Cucuzzella;Steven Brus;S. Narayanan;B. Nadiga;Luke Van Roekel;Jan Hückelheim;S;eep Madireddy;eep;Patrick Heimbach - 通讯作者:
Patrick Heimbach
Patrick Heimbach的其他文献
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{{ truncateString('Patrick Heimbach', 18)}}的其他基金
Collaborative Research: Frameworks: Convergence of Bayesian inverse methods and scientific machine learning in Earth system models through universal differentiable programming
协作研究:框架:通过通用可微编程将贝叶斯逆方法和科学机器学习在地球系统模型中融合
- 批准号:
2103942 - 财政年份:2021
- 资助金额:
$ 59.04万 - 项目类别:
Standard Grant
AccelNet-Implementation: Implementing a Deep Ocean Observing Strategy (iDOOS)
AccelNet-Implementation:实施深海观测策略 (iDOOS)
- 批准号:
2114717 - 财政年份:2021
- 资助金额:
$ 59.04万 - 项目类别:
Standard Grant
Collaborative Research: Frameworks: Convergence of Bayesian inverse methods and scientific machine learning in Earth system models through universal differentiable programming
协作研究:框架:通过通用可微编程将贝叶斯逆方法和科学机器学习在地球系统模型中融合
- 批准号:
2103942 - 财政年份:2021
- 资助金额:
$ 59.04万 - 项目类别:
Standard Grant
NSFGEO-NERC: Collaborative Research: Subpolar North Atlantic Processes - Dynamics and pRedictability of vAriability in Gyre and OverturNing (SNAP-DRAGON)
NSFGEO-NERC:合作研究:北大西洋次极过程 - 环流和翻转变化的动力学和可预测性 (SNAP-DRAGON)
- 批准号:
2038422 - 财政年份:2020
- 资助金额:
$ 59.04万 - 项目类别:
Standard Grant
Paleochronometry as a control problem for recovering holocene climate variations over the Greenland Ice Sheet
古年代学作为恢复格陵兰冰盖全新世气候变化的控制问题
- 批准号:
1903596 - 财政年份:2019
- 资助金额:
$ 59.04万 - 项目类别:
Standard Grant
Collaborative Research: From Adjoints for the Few to Adjoints for the Many: Integrating the Use of Adjoint Methods in Earth System Modeling
协作研究:从少数人的伴随到多人的伴随:在地球系统建模中整合伴随方法的使用
- 批准号:
1751120 - 财政年份:2017
- 资助金额:
$ 59.04万 - 项目类别:
Standard Grant
Collaborative Research: Submarine Melting and Freshwater Export in Greenland's Glacial Fjords: The Role of Subglacial Discharge, Fjord Topography and Shelf Properties
合作研究:格陵兰岛冰川峡湾的海底融化和淡水输出:冰下排放、峡湾地形和陆架特性的作用
- 批准号:
1737759 - 财政年份:2017
- 资助金额:
$ 59.04万 - 项目类别:
Standard Grant
Collaborative Research: Understanding the controls on spatial and temporal variability in ice discharge using a Greenland-wide ice sheet model
合作研究:使用格陵兰冰盖模型了解冰排放时空变化的控制
- 批准号:
1603854 - 财政年份:2016
- 资助金额:
$ 59.04万 - 项目类别:
Standard Grant
Collaborative Research: A Bering Strait Ocean Observing System for the Pacific Inflow to the Arctic - a fundamental part of the Arctic Observing Network
合作研究:白令海峡太平洋流入北极海洋观测系统——北极观测网络的基本组成部分
- 批准号:
1640357 - 财政年份:2016
- 资助金额:
$ 59.04万 - 项目类别:
Continuing Grant
Collaborative Research: Submarine Melting of Greenland's Glaciers: What are the relevant ocean dynamics?
合作研究:格陵兰岛冰川海底融化:相关的海洋动力学是什么?
- 批准号:
1550290 - 财政年份:2015
- 资助金额:
$ 59.04万 - 项目类别:
Standard Grant
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