Collaborative Research: SHINE: Driving Solar Magnetohydrodynamic (MHD) Simulations with Vector Magnetogram Sequences

合作研究：SHINE：用矢量磁图序列驱动太阳能磁流体动力学 (MHD) 模拟

• 批准号: 0551055
• 负责人: KD Leka
• 金额: $ 21.75万
• 依托单位: NorthWest Research Associates, Incorporated
• 依托单位国家: 美国
• 项目类别: Continuing Grant
• 财政年份: 2006
• 资助国家: 美国
• 起止时间: 2006-05-01 至 2011-04-30
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0551055&HistoricalAwards=false
• 关键词: Collaborative; Research; SHINE; Driving; Solar

The PIs propose to collaborate in developing new techniques for measuring the state of the solar atmosphere and for solving the physical equations governing its evolution. The proposers plan to combine these capabilities so that numerical simulations might be directly driven by observed solar data. To accomplish this, they intend to develop new methods of reducing solar vector magnetogram sequences, optimized for input into simulations as a self-consistent set of boundary conditions for a numerical solution. A semi-implicit code will be used to solve the compressible, time-dependent magnetohydrodynamic (MHD) equations subject to those initial conditions and boundary conditions. The end-to-end capability provided by these new methods will be demonstrated by performing data-driven simulations of at least three solar active regions. Decades of high-quality observations from ground-based and space-based instruments have led researchers to propose several different models for the origin and evolution of coronal mass ejections. Three-dimensional, time-dependent simulations can demonstrate the viability of these models, provided they are appropriately driven. However, only driving these simulations directly with data can identify the model that best describes reality. This proposal will develop the necessary techniques to perform such a test, and will contribute to the development of a national space weather forecasting capability, which will assimilate ongoing observations into large-scale computer simulations that solve the governing equations. All tools developed under this effort will be made available to the solar physics community and to the public.

研究所提议合作开发测量太阳大气状态和求解控制其演变的物理方程的新技术。提议者计划将这些功能联合收割机结合起来，以便数值模拟可以直接由观测到的太阳数据驱动。为了实现这一目标，他们打算开发新的方法来减少太阳矢量磁图序列，优化输入到模拟作为一组自洽的边界条件的数值解。在这些初始条件和边界条件下，将使用半隐式代码来求解可压缩的、与时间相关的磁流体动力学（MHD）方程。这些新方法提供的端到端能力将通过对至少三个太阳活动区域进行数据驱动的模拟来证明。几十年来，地面和空间仪器的高质量观测使研究人员提出了几种不同的日冕物质抛射起源和演变模型。三维的，时间依赖的模拟可以证明这些模型的可行性，只要它们被适当地驱动。然而，只有直接用数据驱动这些模拟才能确定最能描述现实的模型。该建议将开发进行这种测试的必要技术，并将有助于发展国家空间气象预报能力，这种能力将把正在进行的观测纳入求解控制方程的大规模计算机模拟。在这一努力下开发的所有工具将提供给太阳物理学界和公众。