Quantifying internal wave and mesoscale variability using Ocean Observatory Initiative data

使用海洋观测计划数据量化内波和中尺度变化

• 批准号: 1850762
• 负责人: John Toole
• 金额: $ 71.98万
• 依托单位: Woods Hole Oceanographic Institution
• 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
• 起止时间: 2019-04-01 至 2024-03-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1850762&HistoricalAwards=false
• 关键词: Quantifying; internal; wave; mesoscale; variability

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.

该项目将使用来自NSF海洋天文台倡议(OOI)的数据来研究海底对海洋内部风能如何传播的影响。OOI数据将与一般海洋环流模型的输出相结合，以研究不同海底形状如何影响能量传播及其耗散。主要的OOI数据集包括从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--这种传感器包周期性地在海洋系泊处垂直上下移动。这些数据可以从四个OOI网站获得。该项目还将对这些数据进行新的、高质量的校准和处理，供海洋学界使用。该项目将利用OOI计划提供改进的数据，并提高对风力强迫和海洋变异性如何影响海洋内部能量交换的理解。在该项目中，来自海洋天文台倡议(OOI)的开放海洋系泊数据将与非常高分辨率的全球环流模型和理想化模型一起使用，以了解倾斜的海底地形对近惯性能的风力产生和随后的传播和消散的影响。主要数据集包括集成在位于OOI系泊地点的McLane系泊剖面仪(MMPs)中的传感器的温度、盐度和速度数据。主管PI开发了用于海洋勘探阵列的系泊剖面仪，他将使用最佳技术重新处理这些数据，并将这些数据提供给海洋研究组织和海洋学界。研究了中尺度涡场对近惯性波能量传播的影响。对世界各地长期系泊地点的这些数据的再处理代表着测试和改进风致惯性运动和内波理论的独特机会。该奖项反映了NSF的法定使命，并通过使用基金会的智力优势和更广泛的影响审查标准进行评估，被认为值得支持。