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Three-Dimensional Magnetic Configuration and Evolution of Flare Productive Active Regions

Three-Dimensional Magnetic Configuration and Evolution of Flare Productive Active Regions
耀斑生产活动区的三维磁结构和演化
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

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中文摘要
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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.
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Collaborative Research: ANSWERS: Prediction of Geoeffective Solar Eruptions, Geomagnetic Indices, and Thermospheric Density Using Machine Learning Methods
  • 批准号:
    2149748
  • 项目类别:
    Standard Grant
  • 资助金额:
    $31.47万
  • 财政年份:
    2022
  • 负责人:
    Ju Jing
  • 依托单位:
NSWP: Automated Monitoring and Forecasting of Space Weather using Artificial Intelligence Techniques
  • 批准号:
    0716950
  • 项目类别:
    Continuing Grant
  • 资助金额:
    $15.14万
  • 财政年份:
    2007
  • 负责人:
    Ju Jing
  • 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