Three-Dimensional Magnetic Configuration and Evolution of Flare Productive Active Regions
Three-Dimensional Magnetic Configuration and Evolution of Flare Productive Active Regions
批准号:
0936665
负责人:
Ju Jing
金额:
$27.8万
依托单位国家:
美国
项目类别:
Standard Grant
财政年份:
2009
资助国家:
美国
项目状态:
已结题
起止时间:
2009-09-15 至 2012-08-31
中文摘要
该奖项是根据2009年美国复苏和再投资法案(公法111-5)资助的。首席研究员(PI)将研究日冕磁结构的演变以及与太阳爆炸现象(如耀斑和日冕物质抛射(CME))相关的相应自由磁能。 她计划使用来自Hinode卫星和即将到来的太阳动力学天文台(SDO)的光球矢量磁图作为重建三维日冕磁场的边界条件。 PI将应用多重网格优化方法对边界数据进行外推,最终得到非线性无力(NLFF)日冕磁场,并定量估算日冕磁场的自由能和非势能。PI将重点关注三维磁场配置,如磁剪切、磁倾角和电流系统,同时研究了活动区自由磁能和耀斑生产力的时间演化。 她预计这项工作将揭示不稳定磁结构的爆发前配置,揭示太阳活动区域的复杂性和能量预算,并帮助建立当今社区使用的特定耀斑和CME模型的预测准确性。这项工作将有助于改进对从日震和磁成像仪(HMI)获得的数据的使命分析即将到来的SDO航天器上的仪器。 PI还希望她的观测结果能够加强耀斑和CME的建模和预测。 该项目有一个强有力的教育和指导组成部分,年轻的女PI担任博士的顾问和导师。学生
英文摘要
This award is funded under the American Recovery and Reinvestment Act of 2009 (Public Law 111-5). The principal investigator (PI) will study the evolution of coronal magnetic configurations and the corresponding free magnetic energy that is associated with solar explosive phenomena, such as flares and coronal mass ejections (CMEs). She plans to use photospheric vector magnetograms from the Hinode satellite and from the forthcoming Solar Dynamic Observatory (SDO) as boundary conditions for reconstructing the 3D coronal magnetic field. The PI will apply multigrid-like optimization methods to this boundary data to extrapolate the non-linear force-free (NLFF) coronal magnetic field, and ultimately, to quantitatively estimate the free energy and nonpotentiality of the coronal magnetic field.The PI will focus on 3D magnetic configurations, such as magnetic shear, magnetic inclination angle, and the electric current system, while investigating the temporal evolution of free magnetic energy and flare productivity of active regions. She anticipates that this work will reveal the pre-eruption configuration of unstable magnetic structures, shed light on the complexity and energy budget of solar active regions, and help establish the prediction accuracy of specific flare and CME models in community use today.Among other broader impacts, this effort will help improve the mission analysis of data to be obtained from the Helioseismic and Magnetic Imager (HMI) instrument on the upcoming SDO spacecraft. The PI also expects her observational results to enhance the modeling and forecasting of flares and CMEs. This project has a strong education and mentoring component, with the young female PI acting as an advisor and supervisor to Ph.D. students.
期刊论文(0)
专著(0)
科研奖励(0)
会议论文
Collaborative Research: ANSWERS: Prediction of Geoeffective Solar Eruptions, Geomagnetic Indices, and Thermospheric Density Using Machine Learning Methods
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批准号:2149748
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项目类别:Standard Grant
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资助金额:$31.47万
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财政年份:2022
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负责人:Ju Jing
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依托单位:
NSWP: Automated Monitoring and Forecasting of Space Weather using Artificial Intelligence Techniques
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批准号:0716950
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项目类别:Continuing Grant
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资助金额:$15.14万
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财政年份:2007
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负责人:Ju Jing
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依托单位:
国内基金
海外基金
Scalable Learning and Optimization: High-dimensional Models and Online Decision-Making Strategies for Big Data Analysis
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项目类别:合作创新研究团队
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资助金额:--
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批准年份:2024
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负责人:姚韬
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依托单位: