Collaborative Research: Representing internal-wave driven mixing in global ocean models
合作研究:代表全球海洋模型中的内波驱动混合
基本信息
- 批准号:0968771
- 负责人:
- 金额:$ 30.74万
- 依托单位:
- 依托单位国家:美国
- 项目类别:Continuing Grant
- 财政年份:2010
- 资助国家:美国
- 起止时间:2010-06-15 至 2016-05-31
- 项目状态:已结题
- 来源:
- 关键词:
项目摘要
The goal of this Climate Process Team is to formulate and test parameterizations for internal wave mixing in the ocean interior for inclusion in state of the art coupled climate models. Mixing by internal waves is thought to be a primary mechanism governing the overall thermohaline structure of the oceans, and may have significant implications for climate variability. The project promises to reduce the uncertainty in climate prediction associated with the smallest scale physical processes that cannot be explicitly solved by climate models. The project will address three aspects of ocean mixing: near field mixing at internal wave generation sites, mixing due to breakdown of internal wave energy transported in the wave field, and far field mixing due to breakdown of internal wave energy away from sources. Parameterizations will be based on data-based relations for wave physics, radiation balance theory, and results from process models. In addition to be being based on sound theoretical ideas, the parameterizations will also be based on observational results from the growing data set of microstructure observations.
这个气候过程小组的目标是制定和测试参数化的内波混合在海洋内部的最先进的耦合气候模式。内波混合被认为是控制海洋总体温盐结构的主要机制,可能对气候变异产生重大影响。该项目有望减少与气候模型无法明确解决的最小尺度物理过程相关的气候预测的不确定性。该项目将涉及海洋混合的三个方面:内波生成地点的近场混合、波场中传输的内波能破裂引起的混合以及远离源的内波能破裂引起的远场混合。参数化将基于波动物理学、辐射平衡理论和过程模型结果的数据关系。除了基于合理的理论思想外,参数化还将基于来自不断增长的微观结构观测数据集的观测结果。
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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Gokhan Danabasoglu其他文献
Quantifying sources of subseasonal prediction skill in CESM2
量化 CESM2 中亚季节预测技能的来源
- DOI:
10.1038/s41612-024-00595-4 - 发表时间:
2024-03-04 - 期刊:
- 影响因子:8.400
- 作者:
Jadwiga H. Richter;Anne A. Glanville;Teagan King;Sanjiv Kumar;Stephen G. Yeager;Nicholas A. Davis;Yanan Duan;Megan D. Fowler;Abby Jaye;Jim Edwards;Julie M. Caron;Paul A. Dirmeyer;Gokhan Danabasoglu;Keith Oleson - 通讯作者:
Keith Oleson
Effects of macro vs. micro initialization and ocean initial-condition memory on the evolution of ensemble spread in the CESM2 large ensemble
- DOI:
10.1007/s00382-024-07553-z - 发表时间:
2024-12-24 - 期刊:
- 影响因子:3.700
- 作者:
Clara Deser;Who M. Kim;Robert C. J. Wills;Isla R. Simpson;Steve Yeager;Gokhan Danabasoglu;Keith Rodgers;Nan Rosenbloom - 通讯作者:
Nan Rosenbloom
Gokhan Danabasoglu的其他文献
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{{ truncateString('Gokhan Danabasoglu', 18)}}的其他基金
Collaborative Research: Mixing and the Meridional Overturning Circulation in the Modern and Glacial Ocean
合作研究:现代和冰川海洋中的混合和经向翻转环流
- 批准号:
2049499 - 财政年份:2021
- 资助金额:
$ 30.74万 - 项目类别:
Standard Grant
Collaborative Research: Constraining Uncertainty in Arctic Climate Variability, Change, and Impacts Through Process-Based Understanding
合作研究:通过基于过程的理解来限制北极气候变率、变化和影响的不确定性
- 批准号:
2106228 - 财政年份:2021
- 资助金额:
$ 30.74万 - 项目类别:
Standard Grant
Collaborative Research: The Influence of Arctic-Lower-Latitude Interactions on Weather and Climate Variability: Mechanisms, Predictability, and Prediction
合作研究:北极-低纬度相互作用对天气和气候变率的影响:机制、可预测性和预测
- 批准号:
1737377 - 财政年份:2017
- 资助金额:
$ 30.74万 - 项目类别:
Standard Grant
Collaborative Research: Assessing the Impact of Tidal Mixing on the Meridional Overturning Circulation of the Oceans during the Last Glacial Maximum
合作研究:评估末次盛冰期潮汐混合对海洋经向翻转环流的影响
- 批准号:
1559166 - 财政年份:2016
- 资助金额:
$ 30.74万 - 项目类别:
Standard Grant
Collaborative Research: "EaSM-3": The Role of Ocean Eddies in Decadal Prediction
合作研究:“EaSM-3”:海洋涡流在年代际预测中的作用
- 批准号:
1419559 - 财政年份:2014
- 资助金额:
$ 30.74万 - 项目类别:
Standard Grant
Collaborative Research EaSM2: Mechanisms, Predictability, Prediction, and Regional and Societal Impacts of Decadal Climate Variability
合作研究EaSM2:十年间气候变化的机制、可预测性、预测以及区域和社会影响
- 批准号:
1243015 - 财政年份:2013
- 资助金额:
$ 30.74万 - 项目类别:
Standard Grant
Type I - Collaborative Research: Topographic Control of the Gulf Stream
第一类 - 合作研究:墨西哥湾流的地形控制
- 批准号:
1049190 - 财政年份:2011
- 资助金额:
$ 30.74万 - 项目类别:
Standard Grant
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合作研究:代表全球海洋模型中的内波驱动混合
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