Collaborative Research: SHINE--Automated System for Observation-Based Real-Time Simulation of the Solar Corona and Inner Heliosphere at the Community Coordinated Modeling Center

合作研究：SHINE——社区协调建模中心基于观测的日冕和内日光层实时模拟自动化系统

• 批准号: 1257519
• 负责人: Igor Sokolov
• 金额: $ 12.28万
• 依托单位: Regents of the University of Michigan - Ann Arbor
• 依托单位国家: 美国
• 项目类别: Continuing Grant
• 财政年份: 2013
• 资助国家: 美国
• 起止时间: 2013-09-01 至 2017-08-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1257519&HistoricalAwards=false
• 关键词: Collaborative; Research; SHINE; Automated; System

The investigators will develop an automated system for continuously running a research-based, observation-driven, real-time simulation of the solar corona and inner heliosphere at the Community Coordinated Modeling Center (CCMC). Every day, or more frequently, the system will automatically restart a new simulation of the state of the solar corona using the latest solar magnetogram as the input and the result of the previous simulation as the initial condition for the new one. A prediction of the realistic three-dimensional (3D) and time-dependent distributions of the interplanetary magnetic field and solar wind parameters throughout the solar corona and inner heliosphere is one of the most challenging scientific problems in space physics. The task becomes even more difficult if the simulation is routinely performed in real-time, on a daily basis, with the latest magnetogram data incorporated as an input for the model together with the capability to validate the model using a continuous flow of observational data. The Space Weather Modeling Framework (SWMF) model of the solar corona, already available in the CCMC, will be used for the effort. To validate the model, synthetic extreme ultraviolet images will be produced to compare with the images as observed with NASA satellite instruments. The coupled model prediction will be continuously validated with the solar wind parameters measured by the ACE satellite. The intellectual merit of the research is the development of a research-based model that can be used to better understand the propagation of Coronal Mass Ejections (CMEs), both in real-time when CME signatures are observed in coronograph images, and for historical analysis and research of interesting events. The broader impact of the project is that a new generation of global models of the Sun-heliosphere system will be delivered to the CCMC to enable broad use by the solar-heliophysics community. The project will involve the training of a junior female postdoctoral researcher and will enhance infrastructure for research and education.

研究人员将开发一个自动化系统，用于在社区协调建模中心（CCMC）持续运行基于研究、观测驱动的日冕和内日光层实时模拟。每天或更频繁地，系统将自动重新启动对日冕状态的新模拟，使用最新的太阳磁图作为输入，并将先前模拟的结果作为新模拟的初始条件。预测整个日冕和内日光层的行星际磁场和太阳风参数的真实三维 (3D) 和时间相关分布是空间物理学中最具挑战性的科学问题之一。如果每天定期实时执行模拟，并将最新的磁图数据作为模型的输入，并能够使用连续的观测数据流验证模型，那么该任务就会变得更加困难。 CCMC 中已有的日冕空间天气模型框架 (SWMF) 模型将用于这项工作。为了验证该模型，将生成合成的极紫外图像，以与美国宇航局卫星仪器观察到的图像进行比较。耦合模型预测将通过 ACE 卫星测量的太阳风参数不断得到验证。这项研究的智力价值在于开发了一种基于研究的模型，该模型可用于更好地了解日冕物质抛射（CME）的传播，无论是在日冕图像中观察到日冕物质抛射特征时的实时了解，还是用于历史分析以及对有趣事件的研究。该项目更广泛的影响是，新一代太阳-日光层系统全球模型将交付给 CCMC，以供太阳-日光物理学界广泛使用。该项目将培训一名初级女性博士后研究员，并将加强研究和教育基础设施。