Collaborative Research: CEDAR: Large Amplitude Variations & Instabilities due to Strong Interactions between Tides & Planetary Waves in the Upper Mesosphere and Lower Therm

合作研究：CEDAR：大振幅变化

• 批准号: 1042259
• 负责人: Richard Walterscheid
• 金额: $ 21万
• 依托单位: Aerospace Corporation
• 依托单位国家: 美国
• 项目类别: Continuing Grant
• 财政年份: 2011
• 资助国家: 美国
• 起止时间: 2011-05-01 至 2015-04-30
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1042259&HistoricalAwards=false
• 关键词: Collaborative; Research; CEDAR; Large; Amplitude

This project is to characterize the role of nonlinear interactions, including instability, between tides and traveling and stationary planetary waves in generating variability in the upper mesosphere and lower thermosphere (MLT). The work will focus particularly on the two day wave (TDW) in the summertime southern hemisphere, including studies on its amplification due to resonance with a subharmonic of the diurnal tide and consequent generation of a parametric subharmonic instability (PSI) as well as on the apparent association between phase-locked TDWs and pronounced enhancements of airglow emission brightness. In addition, this project will investigate nonlinear forcing mechanisms which modulate tidal amplitude and/or produce non-migrating tides, particularly the westward semidiurnal tide which is dominant in the high-latitude upper mesosphere. This effort will utilize a systems science methodology which combines ground-based wind and airglow intensity measurements, temperature measurements from the NASA TIMED satellite, the TIME-GCM general circulation model, and a global data assimilation model. This work will be conducted as a collaboration between international and U.S. educational, research, and small business institutions.

该项目是为了表征非线性相互作用的作用，包括不稳定，潮汐和固定行星波之间在产生上层和下热层（MLT）的变异性方面的作用。 这项工作将特别关注南半球夏季的两天波（TDW），包括由于与昼夜潮汐的共鸣以及随之而产生的参数亚谐波不稳定（PSI）以及对此的产生相锁的TDW与空气发射亮度的明显增强之间的明显关联。 此外，该项目将研究调节潮汐幅度和/或产生非迁移潮汐的非线性强迫机制，尤其是在高纬度上层中层中占主导地位的西半潮汐潮汐。 这项工作将利用一种系统科学方法，该方法结合了地面风和气流强度测量，NASA定时卫星的温度测量值，Time-GCM一般循环模型和全球数据同化模型。 这项工作将作为国际教育，研究和小型企业机构之间的合作。