Collaborative Research: CEDAR: Causal Relationships of Ion-neutral Coupling Processes at Mid-latitudes

合作研究：CEDAR：中纬度地区离子中性耦合过程的因果关系

• 批准号: 1452291
• 负责人: Jonathan Makela
• 金额: $ 36万
• 依托单位: University of Illinois at Urbana-Champaign
• 依托单位国家: 美国
• 项目类别: Continuing Grant
• 财政年份: 2015
• 资助国家: 美国
• 起止时间: 2015-08-01 至 2019-07-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1452291&HistoricalAwards=false
• 关键词: Collaborative; Research; CEDAR; Causal; Relationships

The goal of this study is to advance our understanding of the coupling and causal links between high-latitude forcing of the thermosphere and mid-latitude plasma density structuring during both quiet and storm times. The study will also characterize the relative importance of spatial/temporal variation at the high-latitude boundary between the magnetosphere and ionosphere in generating observed variability in the mid-latitudes. The knowledge gained will impact the development of future models by identifying any missing physics in the models as well as the spatial/temporal resolutions required to capture relevant processes. Improving modeling is critical to enabling space weather forecasting capabilities, and will enhance the infrastructure for research and education. This project will address two fundamental questions: 1) What is the cause/effect relationship between high-latitude forcing on the neutral winds and the response of electron densities at mid-latitudes, especially during geomagnetic storm conditions? 2) What is the relationship between spatial/temporal variability within the high-latitude drivers and the variability observed within the mid-latitude neutral winds and ionospheric structure? Observations of mid-latitude thermospheric winds and temperatures made by the North American Thermosphere-Ionosphere Observation Network (NATION) of Fabry-Perot interferometers (FPI) will be coupled with time-dependent 3D electron density estimates from the Ionospheric Data Assimilation Four Dimensional (IDA4D) assimilative model. The source of the dynamics observed in the thermospheric neutral winds and electron density will be investigated through exercising an inversion algorithm (Estimating Model Parameters from Ionospheric Reverse Engineering; EMPIRE) developed to estimate the ionospheric drivers from three-dimensional, time-evolving distributions of ionospheric electron densities. The first-principles Global Ionosphere Thermosphere Model (GITM) will also be used to elucidate the underlying physics responsible for the coupling. This study will contribute to the education and training of graduate students at the University of Illinois and the University of Michigan.

这项研究的目的是促进我们对热圈强迫和中纬度等离子体密度在安静和风暴时间期间的高纬度强迫之间的耦合和因果关系的理解。该研究还将表征磁层和电离层之间高纬度边界上空间/时间变化在产生中纬度中观察到的可变性方面的相对重要性。获得的知识将通过确定模型中的任何缺失物理以及捕获相关过程所需的空间/时间分辨率来影响未来模型的发展。改进建模对于实现太空天气预测能力至关重要，并将增强研究和教育的基础设施。 该项目将解决两个基本问题：1）高纬度强迫对中性风与中纬度的电子密度的响应之间的原因/效应关系是什么，尤其是在地磁风暴条件下？ 2）高纬度驱动因素内的空间/时间变异与中纬度中性风与电离层结构内观察到的变异性之间有什么关系？ Fabry-Perot干涉仪（FPI）的北美热层 - 离子层观测网络（NAINT）对中纬度热层风和温度的观察将与时间依赖性的3D电子密度估计值结合使用，这是电离层数据同化的四个尺寸（IDA4D）同化模型的。在热层中性风和电子密度中观察到的动力学来源将通过行使倒置算法（估计来自电离层反向工程的估算模型参数；帝国），以估算从三维，时间增强的电离，时间增强电流层电子层的分布的电离驱动器。第一原理全球电离层热层模型（GITM）也将用于阐明负责耦合的基础物理。这项研究将有助于伊利诺伊大学和密歇根大学的研究生的教育和培训。