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: 1403021
• 负责人: Aleksandre Taktakishvili
• 金额: $ 11.31万
• 依托单位: Catholic University of America
• 依托单位国家: 美国
• 项目类别: Continuing Grant
• 财政年份: 2014
• 资助国家: 美国
• 起止时间: 2014-01-01 至 2017-08-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1403021&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)持续运行以研究为基础的、以观测为驱动的实时日冕和内日光层模拟。每天或更频繁地，系统将使用最新的太阳磁图作为输入，并将上一次模拟的结果作为新模拟的初始条件，自动重新启动对日冕状态的新模拟。预测整个日冕和内日光层中行星际磁场和太阳风参数的真实三维(3D)和随时间变化的分布是空间物理学中最具挑战性的科学问题之一。如果每天例行地实时进行模拟，将最新的磁图数据合并为模型的输入，并能够使用连续的观测数据流来验证模型，那么这项任务就变得更加困难。CCMC已经提供的太阳日冕空间天气建模框架(SWMF)模型将用于这项工作。为了验证该模型，将产生合成的极端紫外线图像，并与NASA卫星仪器观测到的图像进行比较。耦合模式预报将继续用ACE卫星测量的太阳风参数进行验证。这项研究的学术价值在于开发了一个以研究为基础的模型，可以用来更好地理解日冕物质抛射的传播，既可以在日冕物质抛射图像中观察到日冕物质抛射特征时实时进行，也可以用于对有趣事件的历史分析和研究。该项目的更广泛影响是，将向CCMC交付新一代太阳-日光层系统全球模型，使太阳-太阳物理界能够广泛使用。该项目将包括培训一名初级女性博士后研究员，并将加强研究和教育的基础设施。