CAREER: Diagnosis of forced versus intrinsic low-frequency variability in high-resolution coupled climate models using geostrophic turbulence techniques

职业：使用地转湍流技术诊断高分辨率耦合气候模型中的强迫与固有低频变化

• 批准号: 1351837
• 负责人: Brian Arbic
• 金额: $ 61.28万
• 依托单位: Regents of the University of Michigan - Ann Arbor
• 依托单位国家: 美国
• 项目类别: Continuing Grant
• 财政年份: 2014
• 资助国家: 美国
• 起止时间: 2014-06-01 至 2019-05-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1351837&HistoricalAwards=false
• 关键词: CAREER; Diagnosis; forced; versus; intrinsic

Overview: A long-standing question in climate dynamics is the extent to which low-frequency climate variability is intrinsic versus forced. The climate system exhibits variability over a vast range of time scales. Recent findings show that eddy-resolving ocean models exhibit substantial inter-annual variability even when such variability is absent in the atmospheric forcing. This result suggests that intrinsic oceanic nonlinearities are nearly as important as atmospheric forcing in maintaining low-frequency oceanic variability. Earlier work shows that nonlinearities also drive some of the low-frequency variability in atmospheric models. Intellectual Merit: The project addresses an important question of climate science - whether low-frequency variability is free or forced. The application of new tools will provide a useful complement to other approaches used to answer this question. The proposed work builds upon recent research by the principal investigator, in which frequency - and frequency-wavenumber domain spectra, spectral transfers, and spectral fluxes have been diagnosed from eddy-resolving ocean general circulation models in realistic domains, from gridded satellite altimeter data, and from idealized two-layer QG turbulence simulations driven by an imposed baroclinically unstable mean flow. As with spectral transfers and fluxes in wavenumber space, which have long been diagnosed in geostrophic turbulence studies, the spectral transfers and fluxes in frequency space quantify the relative contributions of forcing, nonlinearity, and other processes to the budgets of energy and energy flux. In the idealized two-layer QG turbulence simulations, nonlinearities are the largest terms in the maintenance of low-frequency variance, with forcing and friction playing important but secondary roles. The proposed work will extend this analysis to the oceanic and atmospheric components of coupled climate models, run in both "stand-alone" and fully coupled modes. Broader Impacts: This project will contribute to the quantification and understanding of low-frequency variability, and increase understanding of eddy-resolving coupled climate models, which will soon become widely used tools in climate prediction studies. The project provides funding for a postdoctoral scientist to perform the realistic-domain results, in collaboration with scientists at a leading national climate modeling lab (NOAA/GFDL). The idealized model will be run and analyzed by a graduate student, who has obtained support from an NSF graduate student fellowship. Undergraduates will be integrated into the research, as the principal investigator (PI) has been doing since 2006. Collaboration with the University of Ghana will help to develop earth science capacity in a continent where this capacity is severely lacking. The PI and three members of his group--a postdoc of Ghanaian descent, and two U.S. graduate students--will visit the oceanography department of the University of Ghana for two weeks each summer. At University of Ghana, the PI will give lectures on physical oceanographic topics, and the PI's postdoc and students will help Ghana oceanography students develop skills such as using Matlab, using satellite altimeter products, and attaining familiarity with ocean models. The project builds upon the PI's continuing interest in the development of African science, engendered during his experience as a Peace Corps volunteer teacher in Ghana, and is consistent with the substantial investment of the PI's institution in Africa.

概述：气候动力学中一个长期存在的问题是低频气候变率在多大程度上是内在的还是被迫的。气候系统在很大的时间尺度上表现出变化。最近的研究结果表明，涡旋分辨海洋模型表现出显着的年际变化，即使大气强迫中不存在这种变化。这一结果表明，海洋固有的非线性在维持低频海洋变率方面几乎与大气强迫一样重要。早期的工作表明，非线性也会导致大气模型中的一些低频变化。智力价值：该项目解决了气候科学的一个重要问题——低频变化是自由的还是被迫的。 新工具的应用将为回答这个问题的其他方法提供有用的补充。拟议的工作建立在首席研究员最近的研究基础上，其中频率和频率波数域谱、谱传输和谱通量是根据现实域中的涡旋解析海洋环流模型、网格卫星高度计数据来诊断的，以及由强加的斜压不稳定平均流驱动的理想化两层 QG 湍流模拟。与波数空间中的光谱传输和通量一样，它们早已在地转湍流研究中得到诊断，频率空间中的光谱传输和通量量化了强迫、非线性和其他过程对能量和能量通量预算的相对贡献。在理想化的双层 QG 湍流模拟中，非线性是维持低频方差的最大项，力和摩擦力起着重要但次要的作用。拟议的工作将把这种分析扩展到耦合气候模型的海洋和大气组成部分，以“独立”和完全耦合模式运行。更广泛的影响：该项目将有助于量化和理解低频变化，并增进对涡旋解析耦合气候模型的理解，该模型很快将成为气候预测研究中广泛使用的工具。该项目为一名博士后科学家提供资金，以与领先的国家气候模拟实验室 (NOAA/GFDL) 的科学家合作，获得现实领域的结果。理想化模型将由一名研究生运行和分析，该研究生获得了 NSF 研究生奖学金的支持。正如首席研究员 (PI) 自 2006 年以来一直在做的那样，本科生将参与到这项研究中。与加纳大学的合作将有助于在一个严重缺乏地球科学能力的大陆发展地球科学能力。首席研究员和他的团队的三名成员——一名加纳血统的博士后和两名美国研究生——每年夏天都会访问加纳大学海洋学系两周。在加纳大学，PI 将就物理海洋学主题进行讲座，PI 的博士后和学生将帮助加纳海洋学学生培养使用 Matlab、使用卫星高度计产品以及熟悉海洋模型等技能。该项目建立在 PI 在加纳担任和平队志愿者教师期间对非洲科学发展的持续兴趣的基础上，并且与 PI 机构在非洲的大量投资相一致。