RUI: Characterization and Modeling of Space Weather Geomagnetic Fluctuations

社会的日常运作依赖于配电系统和通信卫星星座等技术。这些技术容易受到磁暴和其他严重空间天气的影响。该项目将研究导致空间天气的因素，以便更好地预测影响。此外，这项工作将涉及来自STEM中代表性不足的群体的本科生，他们将在一个主要的本科院校进行研究。此外，还将制定一个驻场艺术家方案，以提高一般科学素养，并将空间科学与艺术联系起来。科学目标是确定非线性指标，这些指标具体说明极端空间天气发生之前和期间磁层的动态状态。该研究将使用先进的数学技术调查和统计表征，建模和预测地面磁场的时空波动。中心假设是，空间天气相关的地磁场时空波动遵循磁致临界性的统计。该奖项反映了NSF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。

Society relies upon technologies such as power distribution systems and constellations of communications satellites for daily functioning. These technologies are susceptible to the effects of magnetic storms and other severe space weather. This project will study what factors lead to space weather in an effort to better predict impacts. Additionally, the work will involve undergraduate students from under-represented groups in STEM in research at a primarily undergraduate institution. Additionally, an Artist in Residence program will be developed to increase general science literacy and to make links between space science and art.The science objective is to determine nonlinear metrics that specify the dynamical state of the magnetosphere prior to the onset of, and during, extreme space weather. The research will investigate and statistically characterize, model, and forecast the spatiotemporal fluctuations of the ground magnetic field using advanced mathematical techniques. The central hypothesis is that space weather associated spatiotemporal fluctuations of the geomagnetic field follow the statistics of intermittency-induced criticality. Data will be used from arrays of ground-based magnetometers from high-to-equatorial latitudes.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.