Collaborative Research: Gulf Stream Re-Analysis - Structure, Transport and Dynamics

合作研究：湾流重新分析 - 结构、传输和动力学

• 批准号: 0352229
• 负责人: Douglas Luther
• 金额: --
• 依托单位: University of Hawaii
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2004
• 资助国家: 美国
• 起止时间: 2004-03-01 至 2010-02-28
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0352229&HistoricalAwards=false
• 关键词: Collaborative; Research; Gulf; Stream; Re; Collaborative; Research; Gulf; Stream; Re

ABSTRACTOCE-0352229As the strongest element of the wind-driven circulation in the North Atlantic, the Gulf Stream has been a focus of extensive empirical studies, theoretical debate and modeling simulations. Its characteristics have always been prominent metrics by which the verisimilitude of numerical models has been judged. Despite this attention, there are important characteristics of the Gulf Stream between Cape Hatteras and the Grand Banks that remain poorly known. As a cost-effective means of acquiring more information and insight, the PI's will analyze existing data from the Gulf Stream that either have not been analyzed before or can be analyzed more accurately and completely now. The data in question were collected during the two-year (1988-1990) Synoptic Ocean Prediction (SYNOP) experiment, the most comprehensive experiment ever conducted in the Gulf Stream. While the original SYNOP investigators have completed outstanding studies of the Gulf Stream's kinematics and dynamics with the SYNOP data, there is still a wealth of information locked within that data, because only in the past four years have analysis techniques been developed which can take full advantage of the numerous Inverted Echo Sounder (IES) recorders) or process the moored current and temperature data without the biases arising from inadequate corrections for mooring motion and inaccurate projection into "stream" coordinates. This methodology employs historical hydrographic data in the vicinity of an IES array to construct a temperature function (called the gravest empirical mode, or GEM) with the independent variables depth (actually pressure) and seafloor-to-sea surface acoustic travel time. It will allow independent estimates of GS structure and transport. When the IES-GEM shears are combined with either the HEF transports, or bottom pressure plus near-bottom current meter records, the IES-GEM shears are transformed into absolute velocity profiles. Comparison with earlier analyses will also allow an assessment of the performance of traditional, widely used, analysis techniques. In addition, some important data, from Horizontal Electric Field Recorders, will be analyzed for the first time for its information about the Gulf Stream's structure and variability .

Abstractoce-0352229是北大西洋风向循环中最强的元素，海湾流是广泛的经验研究，理论辩论和建模模拟的重点。它的特征一直是判断数值模型的真实性的重要指标。尽管关注了这种关注，但哈特拉斯角和大银行之间仍然众所周知的墨西哥湾流的重要特征。作为获取更多信息和洞察力的一种经济有效的手段，PI将分析从墨西哥湾流中分析现有数据，这些数据既没有进行过分析，否则可以更准确，现在可以更准确地进行分析。 所讨论的数据是在两年（1988-1990）的概要海预测（Synop）实验期间收集的，这是墨西哥湾流中有史以来最全面的实验。虽然原始的官方研究者已经完成了对墨西哥湾流的动力学和符号数据的动态的杰出研究，但该数据中仍有大量信息，因为在过去的四年中，只有在过去的四年中才开发了分析技术，可以充分利用众多倒置的回声声（ies）录音机（IES），或处理摩托车的当前和温度的纠正措施。进入“流”坐标。该方法在IES阵列附近采用历史水文数据来构建具有独立变量深度（实际上是压力）和海底到海面表面声学旅行时间的温度函数（称为最严重的经验模式或GEM）。它将允许对GS结构和运输的独立估计。当IES-GEM剪切与HEF传输或底部压力加上底部电流仪表记录相结合时，IES-GEM剪切物被转换为绝对速度曲线。与早期分析的比较还将允许评估传统，广泛使用的分析技术的性能。此外，将首次分析来自水平电场记录器的一些重要数据，以获取有关海湾流的结构和可变性的信息。