SHINE: Validating and Comparing Velocities Estimated from Magnetograms

SHINE：验证和比较磁力图估计的速度

• 批准号: 0752597
• 负责人: Brian Welsch
• 金额: $ 21.25万
• 依托单位: University of California-Berkeley
• 依托单位国家: 美国
• 项目类别: Continuing Grant
• 财政年份: 2008
• 资助国家: 美国
• 起止时间: 2008-04-01 至 2012-03-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0752597&HistoricalAwards=false
• 关键词: SHINE; Validating; Comparing; Velocities; Estimated

The Principal Investigator (PI) will investigate the accuracy of plasma velocities derived from solar photospheric and chromospheric magnetograms, using model data that more realistically simulates photospheric and chromospheric magnetic evolution. He will conduct these tests in collaboration with model developers and users of several velocity estimation methods. This study is motivated by the fact that magnetogram sequences are extensively used by the community to estimate velocities and the fluxes of magnetic energy and helicity into the solar corona, thereby driving dynamic models of the coronal magnetic field. However, synthetic magnetograms derived from magnetohydrodynamic (MHD) simulations of magnetoconvection in the solar interior have demonstrated that such magnetogram sequencing methods of estimating velocities are error prone.The PI will address several scientifically interesting questions, such as whether velocities are more accurately reconstructed from photospheric or chromospheric magnetograms, and whether current methods reconstruct the energy and helicity fluxes accurately. His coordinated analyses of magnetogram observations will determine how well the differing velocity estimation methods agree and how variations in instrumental spatial resolution affect these estimated velocities.The PI plans to hold annual workshops to promote research partnerships. He will post his synthetic and observed data sets on journal-hosted web sites to ensure widespread and long-term dissemination of his findings, and to permit standardized benchmarking of velocity estimation methods within the community. His research team will supervise students and introduce them to statistical methods of data analysis. This work will lead to enhanced predictive space weather capabilities, and thereby impact society through better forecasts for solar disturbances that propagate to Earth and affect our technological infrastructure.

首席研究员 (PI) 将使用更真实地模拟光球和色球磁演化的模型数据，研究从太阳光球和色球磁图得出的等离子体速度的准确性。他将与模型开发人员和多种速度估计方法的用户合作进行这些测试。这项研究的动机是磁图序列被社会广泛使用来估计进入日冕的速度和磁能通量以及螺旋度，从而驱动日冕磁场的动态模型。然而，从太阳内部磁对流磁流体动力学 (MHD) 模拟得出的合成磁图表明，这种估计速度的磁图排序方法很容易出错。PI 将解决几个科学上有趣的问题，例如从光球或色球磁图重建速度是否更准确，以及当前的方法是否重建能量和能量。 螺旋度准确地变化。他对磁图观测的协调分析将确定不同速度估计方法的一致性以及仪器空间分辨率的变化如何影响这些估计速度。PI 计划举办年度研讨会以促进研究伙伴关系。他将在期刊托管的网站上发布他的合成和观察数据集，以确保他的发现得到广泛和长期传播，并允许在社区内对速度估计方法进行标准化基准测试。他的研究团队将指导学生并向他们介绍数据分析的统计方法。这项工作将增强预测空间天气的能力，从而通过更好地预测传播到地球并影响我们的技术基础设施的太阳扰动来影响社会。