Quantifying internal wave and mesoscale variability using Ocean Observatory Initiative data
Quantifying internal wave and mesoscale variability using Ocean Observatory Initiative data
批准号:
1850762
负责人:
John Toole
金额:
$71.98万
依托单位国家:
美国
项目类别:
Standard Grant
财政年份:
2019
资助国家:
美国
项目状态:
已结题
起止时间:
2019-04-01 至 2024-03-31
中文摘要
该项目将使用来自美国国家科学基金会海洋观测倡议(OOI)的数据来研究海底对风能在海洋内部传播的影响。OOI数据将与一般海洋环流模式的输出相结合,以研究不同的海底形状如何影响能量传播和耗散。主要OOI数据集由安装在系泊剖面仪上的传感器获得的温度、盐度和速度数据组成,这些传感器包周期性地垂直上下移动海洋系泊。这些数据可从四个OOI站点获得。该项目还将提供新的、高质量的校准和处理这些数据,供海洋学界使用。该项目将利用OOI计划提供改进的数据,并增进对风强迫和海洋变率如何影响海洋内部能量交换的理解。在这个项目中,来自海洋观测站倡议(OOI)的远洋系泊数据将与一个非常高分辨率的全球环流模型和理想模型一起使用,以了解倾斜的底部地形对近惯性能量的风力产生及其随后的传播和消散的影响。主要数据集包括温度、盐度和速度数据,这些数据来自集成在OOI系泊点McLane系泊分析器(MMP)中的传感器。开发OOI阵列上使用的系泊剖面仪的首席PI将使用最佳技术重新处理这些数据,并将数据提供给OOI和海洋学社区。研究了中尺度涡旋场对近惯性波能量传播的影响。这些数据的再处理来自世界各地海洋的不同地点的长期系泊点,为测试和改进风驱动惯性运动和内波的理论提供了独特的机会。该奖项反映了美国国家科学基金会的法定使命,并通过使用基金会的知识价值和更广泛的影响审查标准进行评估,被认为值得支持。
英文摘要
This project will use data from the NSF Ocean Observatories Initiative (OOI) to study the effects of the ocean bottom on how wind energy travels in the ocean interior. The OOI data will be combined with output from a general ocean circulation model to investigate how different ocean bottom shapes affect energy propagation and its dissipation. The primary OOI data set consists of temperature, salinity, and velocity data obtained from sensors mounted on moored profilers - sensor packages that travel periodically, vertically up and down oceanographic moorings. These data are available from four OOI sites. The project also will provide new, high quality calibrations and processing of these data for use by the oceanographic community. The project will leverage the OOI program to provide improved data and improve understanding of how wind forcing and oceanographic variability influence the internal exchanges of energy in the ocean.In this project data from Ocean Observatories Initiative (OOI) open ocean moorings will be used along with a very high resolution global circulation model and idealized models to understand the effects of sloping bottom topography on wind generation of near-inertial energy and subsequent propagation and dissipation. The primary data set comprises temperature, salinity, and velocity data from sensors integrated in McLane Moored Profilers (MMP) located at the OOI mooring sites. The lead PI, who developed the moored profilers used on the OOI arrays, will reprocess these data using optimal techniques and make the data available for OOI and the oceanographic community. The effects of mesoscale eddy fields on propagation of near inertial wave energy will be investigated. The reprocessing of these data from long term mooring sites at various locations around the world oceans represents and unique opportunity to test and improve theories of the wind driven inertial motions and internal waves.This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.
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