Collaborative Research: CMG: Estimation of Ocean Currents and Wave-Eddy Turbulence from Float Observations

合作研究：CMG：根据浮标观测估计洋流和波涡湍流

• 批准号: 0530893
• 负责人: Leonid Piterbarg
• 金额: $ 18.31万
• 依托单位: University of Southern California
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2005
• 资助国家: 美国
• 起止时间: 2005-10-01 至 2009-09-30
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0530893&HistoricalAwards=false
• 关键词: Collaborative; Research; CMG; Estimation; Ocean

0530748/05300893 The proposed study will develop a novel mathematical approach for better understanding contributions of correlations at long periods to the behavior and predictability of the path and dispersion of ocean waters. Methods of non-equilibrium statistical mechanics and probabilistic statistics will be applied to obtain a hierarchy of stochastic Lagrangian models of varying complexity. Models will be verified using a first-exit time concept and probability weighted moment techniques. The approach will utilize shorter observation series than traditional methods used in oceanography, be robust to the effects of noise in the measurements, and account for inhomogeneity of wave-eddy oceanic fields. The effectiveness of the mathematical technique will be illustrated by estimating Lagrangian statistics and ocean currents using subsurface float observations from the North Pacific and North Atlantic Oceans.Robust mathematical techniques will be developed for the analysis of the motion of floats and drifters in the ocean. The higher accuracy of these new techniques will improve the description of mean velocity fields as well as those for the path and dispersal of ocean waters. Computational efficiencies may allow more efficient assimilation of Lagrangian data into numerical ocean models. Results will allow a better understanding and description of the exchange of ocean waters between various geographic regions such as the continental margin and the deep ocean or between Subtropical and Subarctic ocean gyres. Results will contribute to related problems such as estimating the carbon export from the continental margin to the deep sea, the sequestration of carbon dioxide in Subtropical regions, and the dispersal of pollutants in the ocean. Broader Impacts: The proposal will involve graduate students and young scientists including women from the Naval Postgraduate School (Monterey, CA), University of Southern California (Los Angeles, CA) as well as other Monterey area institutions (Monterey Bay Aquarium Research Institute, Moss Landing Marine Laboratories, and Pacific Fisheries Environmental Laboratory). Current velocity and diffusivity will be used to forecast biological productivity along the Central California Coast. In collaboration with researchers from the Southampton (U.K.) Oceanographic Center, the methods developed will be applied to ARGO float observations collected in the North Atlantic in order to reconstruct and understand variability of mid depth ocean circulation. This will contribute the ARGO program, the Global Ocean and Climate Observing Systems. Activities will include open scientific communications as well as presentations to the broader community. To assure the dissemination of the research to the broadest possible scientific and public audience, project results will be published in the peer-reviewed scientific literature in a timely manner; and presented at scientific conferences and workshops in the United States and abroad. Interim working papers and graphical representations will be posted on web- sites in the *.edu domain. Research results will be converted into teaching aids for graduate and undergraduate courses in easy-to-use formats, such as visual animations and Microsoft PowerPoint presentations and will also be available via Internet for policy-makers and the public at large. These educational materials may also be used for a graduate-level marine science textbook on problems of determining circulation properties using Lagrangian floats and drifters.

0530748/05300893 拟议的研究将开发一种新颖的数学方法，以更好地理解长期相关性对海水路径和扩散的行为和可预测性的贡献。 将应用非平衡统计力学和概率统计的方法来获得不同复杂度的随机拉格朗日模型的层次结构。 将使用首次退出时间概念和概率加权矩技术来验证模型。 该方法将利用比海洋学中使用的传统方法更短的观测序列，对测量中的噪声影响具有鲁棒性，并解释波浪涡旋海洋场的不均匀性。 该数学技术的有效性将通过使用北太平洋和北大西洋的地下浮体观测来估计拉格朗日统计和洋流来说明。将开发强大的数学技术来分析海洋中浮体和漂流者的运动。 这些新技术的更高精确度将改善平均速度场以及海水路径和扩散的描述。 计算效率可以使拉格朗日数据更有效地同化到数值海洋模型中。 研究结果将有助于更好地理解和描述不同地理区域之间的海水交换，例如大陆边缘和深海或亚热带和亚北极海洋环流之间。 研究结果将有助于解决相关问题，例如估算从大陆边缘到深海的碳输出、亚热带地区二氧化碳的封存以及海洋污染物的扩散。 更广泛的影响：该提案将涉及研究生和年轻科学家，包括来自海军研究生院（加利福尼亚州蒙特利）、南加州大学（加利福尼亚州洛杉矶）以及其他蒙特利地区机构（莫斯蒙特利湾水族馆研究所）的女性科学家登陆海洋实验室和太平洋渔业环境实验室）。当前的速度和扩散率将用于预测加州中部海岸沿线的生物生产力。与南安普顿（英国）海洋学中心的研究人员合作，开发的方法将应用于在北大西洋收集的 ARGO 浮标观测，以重建和了解中深度海洋环流的变化。这将为 ARGO 计划、全球海洋和气候观测系统做出贡献。活动将包括开放的科学交流以及向更广泛的社区的演示。为了确保将研究成果传播给尽可能广泛的科学和公众受众，项目结果将及时发表在经过同行评审的科学文献中；并在美国和国外的科学会议和研讨会上发表。临时工作文件和图形表示将发布在 *.edu 域的网站上。研究成果将以易于使用的格式（例如视觉动画和 Microsoft PowerPoint 演示文稿）转化为研究生和本科生课程的教具，并将通过互联网向政策制定者和广大公众提供。这些教育材料也可用于研究生水平的海洋科学教科书，涉及使用拉格朗日浮子和漂流器确定环流特性的问题。