Analysis and Prediction of Magnetospheric Plasma Energy Dynamics with the Wind Driven Magnetospheric-Ionospheric (WINDMI) Model

利用风驱动磁层-电离层 (WINDMI) 模型分析和预测磁层等离子体能量动力学

• 批准号: 2134451
• 负责人: Edmund Spencer
• 金额: $ 24.76万
• 依托单位: University of South Alabama
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2021
• 资助国家: 美国
• 起止时间: 2021-08-01 至 2024-07-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=2134451&HistoricalAwards=false
• 关键词: Analysis; Prediction; Magnetospheric; Plasma; Energy

This award will provide support for the development of a model of the energy dynamics of plasma populations in the magnetosphere under various solar wind driving conditions, focusing in particular on geomagnetic storms and substorms. The research will achieve a significant insight into how the magnetosphere-ionosphere system responds to solar wind driving conditions. The new model would provide valuable information on how the total energy content and energy transfers among the largest reservoirs within the magnetosphere are to be understood. This information would be used to establish the possible state of the magnetosphere prior to and during geomagnetic events. The new model would be capable of fast and robust predictions that can be compared with results from more comprehensive magnetohydrodynamic (MHD) or kinetic models. The project would produce a software implementation of the model as a product to the Space Weather Prediction Center (SWPC) of the National Oceanic and Atmospheric Administration (NOAA) and the Space Physics Community Coordinated Modeling Center (CCMC) operated by NASA. Space Weather and its effects are assuming major importance in modern times. The training of students in Electrical Engineering and Systems Engineering in space weather will increase awareness among technologists and help them to become more aware of space weather effects. The scientific methods and model development to be achieved in this project will be incorporated into otherwise highly theoretical courses for engineers. The new model would be computationally inexpensive to run. It can be easily ported to a mobile platform and used by space weather enthusiasts to explore space physics. Undergraduate students, K¬12 students and the public, will be able to run this model and start to appreciate space science while getting a powerful glimpse into the tools and methods of the geospace community.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.

该奖项将为开发各种太阳风驱动条件下磁层等离子体种群能量动力学模型提供支助，特别侧重于地磁风暴和亚暴。这项研究将实现对磁层-电离层系统如何响应太阳风驱动条件的重大洞察。新的模型将提供关于如何理解磁层内最大的蓄电池之间的总能量含量和能量转移的有价值的信息。这一信息将用于确定地磁事件之前和期间磁层的可能状态。新模型将能够快速和稳健地预测，可以与更全面的磁流体动力学(MHD)或动力学模型的结果进行比较。该项目将为美国国家海洋和大气管理局(大气局)空间天气预报中心和由美国航天局运营的空间物理界协调建模中心制作一个模型的软件实施。空间天气及其影响在现代扮演着重要的角色。对电气工程和系统工程学生进行空间天气方面的培训将提高技术人员的认识，并帮助他们更多地认识到空间天气的影响。在这个项目中实现的科学方法和模型开发将被纳入工程师的其他高度理论性的课程。新模型的运行在计算上将是廉价的。它可以很容易地移植到移动平台上，并被空间气象爱好者用来探索空间物理。本科生、K-12学生和公众将能够运行这个模型，并开始欣赏空间科学，同时有力地一瞥地球航天界的工具和方法。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。