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

该奖项将为开发各种太阳风驱动条件下磁层等离子体群能量动态模型提供支助，特别侧重于地磁暴和亚暴。这项研究将对磁层-电离层系统如何响应太阳风驱动条件有重要的了解。新的模型将提供宝贵的信息，说明如何理解磁层内最大的储存库之间的总能量含量和能量转移。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强大的预测，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。该项目将制作该模型的软件实施，作为国家海洋和大气层管理局（诺阿）空间气象预测中心和美国航天局运营的空间物理界协调建模中心的产品。空间天气及其影响在现代具有重要意义。对电气工程和系统工程专业的学生进行空间气象方面的培训将提高技术人员的认识，并帮助他们更多地了解空间气象的影响。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课程。新模型的运行在计算上将是廉价的。它可以轻松移植到移动的平台，供空间天气爱好者用来探索空间物理。本科生、K12学生和公众将能够运行这个模型，并开始欣赏空间科学，同时对地球空间社区的工具和方法有一个强有力的了解。这个奖项反映了NSF的法定使命，并通过使用基金会的智力价值和更广泛的影响审查标准进行评估，被认为值得支持。

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.