Analyses of Active Region Characteristics Responsible for Solar Eruptive Events on the Basis of Observations with the Aid of Three-Dimensional Magnetohydrodynamic Simulation

首席研究员（PI）和他的研究小组将在太阳爆发事件之前、期间和之后分析太阳大气中的磁性结构，以确定太阳活动区爆发所需的物理条件。PI的团队将使用来自地面和天基平台的太阳矢量磁图观测，以及一个三维的、数据驱动的、活跃区域演化的磁流体动力学（MHD）模型，来研究这些太阳爆发活动的来源和驱动因素。PI的数据驱动MHD模型最近得到了改进和增强，以便更好地在太阳表面施加自一致的、随时间变化的边界条件，以便正确输入观测到的变化的光球矢量磁图测量值。这些表面边界条件直接反映了亚光球对流区动力学的影响。这项研究将为空间天气建模界提供一个改进的基于物理的太阳爆发启动模型，并可能导致更好的操作空间天气预报。研究生将参与整个研究项目，还有一名暑期实习生和一名来自阿拉巴马州农工大学（AAMU，一所历史悠久的黑人大学）的指导教授。AAMU的无资助合作教授将积极招募少数民族研究生参与该项目，并将参与培训这些学生使用阿拉巴马大学的太阳活动区演化模型。

The Principal Investigator (PI) and his research team will analyze magnetic structures in the solar atmosphere before, during, and after solar eruptive events to determine the physical conditions that are required for solar active region eruptions. The PI's team will use solar vector magnetogram observations from ground-based and space-based platforms, along with a three-dimensional, data-driven, magnetohydrodynamic (MHD) model of active region evolution, to investigate these sources and drivers of solar eruptive activity. The PI's data-driven MHD model has been recently improved and enhanced to better impose self-consistent, time-dependent boundary conditions at the solar surface, in order to correctly input the observed changing photospheric vector magnetogram measurements. The effects of sub-photospheric convective zone dynamics are directly reflected through these surface boundary conditions.This investigation will provide the space weather modeling community with an improved physics-based solar eruption initiation model and could potentially lead to better operational space weather forecasts. Graduate students will be involved throughout this research program, as well as a summer intern student and an advising professor from Alabama A&M University (AAMU, a historically black college). The unfunded collaborating professor at AAMU will actively recruit minority graduate students to work on this project and will participate in training these students in the use of the University of Alabama's solar active region evolution model.