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: 0530748
• 负责人: Curtis Collins
• 金额: $ 33.34万
• 依托单位: Naval Postgraduate School
• 依托单位国家: 美国
• 项目类别: Interagency Agreement
• 财政年份: 2005
• 资助国家: 美国
• 起止时间: 2005-10-01 至 2009-03-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0530748&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的数学方法，以更好地理解长期相关性对海洋沃茨路径和分散的行为和可预测性的贡献。 非平衡统计力学和概率统计的方法将应用于获得不同复杂性的随机拉格朗日模型的层次结构。 模型将使用首次退出时间概念和概率加权矩技术进行验证。 该方法将利用比海洋学中使用的传统方法更短的观测系列，对测量中的噪声影响具有鲁棒性，并考虑到波涡海洋场的不均匀性。 将通过使用北太平洋和北大西洋的次表层浮标观测来估计拉格朗日统计和洋流，说明数学技术的有效性，并将为分析海洋中浮标和漂流物的运动发展强有力的数学技术。 这些新技术的更高精度将改善对平均速度场的描述以及对海洋沃茨的路径和扩散的描述。 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。 研究结果将有助于更好地了解和描述不同地理区域之间的沃茨交换情况，例如大陆边缘和深海之间或亚热带和亚北极海洋环流之间的海水交换情况。 结果将有助于相关的问题，如估计从大陆边缘到深海的碳输出，在亚热带地区的二氧化碳封存，以及污染物在海洋中的扩散。 更广泛的影响：该提案将涉及研究生和青年科学家，包括来自海军研究生院（加利福尼亚州蒙特雷）、南加州大学（加利福尼亚州洛杉矶）以及蒙特雷地区其他机构（蒙特雷湾水族馆研究所、莫斯兰丁海洋实验室和太平洋渔业环境实验室）的妇女。流速和扩散率将被用来预测生物生产力沿沿着中央加州海岸。与来自英国南安普顿的研究人员合作，与海洋学中心合作，开发的方法将应用于在北大西洋收集的实时地转海洋学阵列浮标观测，以重建和了解中层海洋环流的变化。这将有助于实时地转海洋学阵列方案，即全球海洋和气候观测系统。活动将包括公开的科学交流以及向更广泛的社区介绍。为了确保向尽可能广泛的科学和公众传播研究成果，项目成果将及时在同行评审的科学文献中发表，并在美国和国外的科学会议和研讨会上介绍。临时工作文件和图示将张贴在 *.edu域名的网站上。研究结果将以视觉动画和微软PowerPoint演示等易于使用的形式转化为研究生和本科生课程的教学辅助材料，并将通过互联网提供给决策者和广大公众。这些教育材料也可用于研究生一级的海洋科学教科书，内容涉及利用拉格朗日浮标和漂流物确定环流特性的问题。