课题基金 / 基金详情

AGS-PRF: Exploring the Equatorial Solar Wind from Photosphere to Heliosphere Along Solar Cycles

AGS-PRF: Exploring the Equatorial Solar Wind from Photosphere to Heliosphere Along Solar Cycles
AGS-PRF:沿着太阳周期探索从光球层到日光层的赤道太阳风
批准号:
1432100
负责人:
Liang Zhao
金额:
$8.6万
依托单位:
依托单位国家:
美国
项目类别:
Fellowship Award
财政年份:
2014
资助国家:
美国
项目状态:
已结题
起止时间:
2014-09-01 至 2016-08-31

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中文摘要
翻译
这是一个为期两年的研究生研究奖学金项目,旨在更好地理解缓慢和快速的太阳风加热和加速是如何响应太阳周期的强度而发生的。这项研究工作将在密歇根大学大气、海洋和空间科学系的高度协作环境中进行。PI将把研究成果纳入密歇根大学的本科和研究生课程。PI是最近的博士毕业生,该研究项目将支持早期职业女性科学家在大气和地球空间科学领域的持续培训和职业发展。因此,该项目将加强妇女在科学、技术、工程和数学(STEM)学科的参与。这个为期两年的研究项目将独特地结合太阳风特性的原位测量分析和太阳风源区域的光谱观测,利用两种观测类型和不同分析技术的优势。通过原位测量和遥感观测相匹配得到的经验模型在细节上将是前所未有的,它们将连续覆盖从太阳风源区到冻结高度的整个距离。这些经验模型将提供一个基准,允许在相互竞争的太阳风加热和加速模型和情景之间进行区分,并将极大地促进我们对太阳风现象及其对太阳周期阶段和强度的依赖的理解。此外,通过使用两种不同类型的技术和数据,这项研究工作将成为两个空间科学社区之间的联系,该项目的结果将使双方受益。
英文摘要
This is a 2-year postgraduate research fellowship project which aims to provide improved understanding of how the slow and fast solar wind heating and acceleration occurs in response to the strength of the solar cycle. The research work will be conducted at the highly collaborative environment of the Atmospheric, Oceanic and Space Science Department at the University of Michigan. The PI will incorporate the research results into the undergraduate and graduate level courses in the University of Michigan. The PI is a recent PhD graduate and this research project will support the continued training and career advancement of an early-career female scientist in the Atmospheric and Geospace sciences. Therefore, the project will enhance the participation of women in sciences, technology, engineering, and mathematics (STEM) disciplines.This 2-year research project will uniquely combine the analysis of in-situ measurement of solar wind properties and of spectroscopic observations of solar wind source regions, taking advantage of the strengths of both types of observations and different analysis techniques. The empirical models to be derived from the matching of in-situ measurements and remote sensing observations will be unprecedented in their detail, and they will continuously cover the entire distance from the solar wind source region to the freeze-in height. These empirical models will provide a benchmark that will allow discrimination between competing solar wind heating and acceleration models and scenarios and will greatly advance our understanding of the solar wind phenomenon and its dependence on solar cycle phase and strength. Moreover, by using two different types of techniques and data, this research work will serve as a link between two Space Sciences communities, and the outcome of this project will benefit both sides.
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Collaborative Research: OAC Core: Distributed Graph Learning Cyberinfrastructure for Large-scale Spatiotemporal Prediction
  • 批准号:
    2403312
  • 项目类别:
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  • 资助金额:
    $29.96万
  • 财政年份:
    2024
  • 负责人:
    Liang Zhao
  • 依托单位:
CAREER: Uncovering Solar Wind Composition, Acceleration, and Origin through Observations, Modeling, and Machine Learning Methods
Travel: NSF Student Travel Support for the 2023 IEEE International Conference on Data Mining (IEEE ICDM 2023)
  • 批准号:
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  • 项目类别:
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  • 资助金额:
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  • 财政年份:
    2023
  • 负责人:
    Liang Zhao
  • 依托单位:
SHINE: Understanding the Physical Connection of the in-situ Properties and Coronal Origins of the Solar Wind with a Novel Artificial Intelligence Investigation
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