Collaborative Research: SHINE: Data-constrained Simulations of Coronal Mass Ejection Initiation and Propagation
合作研究:SHINE:日冕物质抛射引发和传播的数据约束模拟
基本信息
- 批准号:1460188
- 负责人:
- 金额:$ 16.25万
- 依托单位:
- 依托单位国家:美国
- 项目类别:Continuing Grant
- 财政年份:2015
- 资助国家:美国
- 起止时间:2015-07-15 至 2018-06-30
- 项目状态:已结题
- 来源:
- 关键词:
项目摘要
This project addresses coronal mass ejections (CMEs) which are violent expulsions of plasma from the Sun that contribute to space weather. It is vital to understand how these eruptions happen and how they propagate towards Earth in order to accurately predict their behavior. The current fleet of solar and space observatories provides unprecedented temporal and spatial coverage of the surface magnetic field, extreme ultraviolet (EUV) and X-ray coronal structures. In this study, data-constrained simulations of CME initiation and propagation will be performed starting from realistic initial conditions for the magnetic field and plasma of an active region that contains a flux rope on the verge of eruption. These simulations will provide a unique opportunity to investigate the processes behind the eruption and early development of CMEs. The project has the following science objectives: 1) Develop models of CME initiation that are highly constrained by observations in order to study the early development phases of CMEs; 2) Constrain CME properties near the Sun (kinetics, morphology, shock and compression region parameters) based on the flux rope properties and the ambient coronal field, and 3) Reproduce the observed three-part and two-front structure of CMEs and their in situ properties using data-constrained magnetohydrodynamic (MHD) simulations. Data-constrained non-linear force-free field (NLFFF) models of observed erupting active regions will be used as initial conditions to the Space Weather Modeling Framework (SWMF) global MHD code. The initial conditions on the active region and flux rope plasma will also be constrained by data using recently developed analysis techniques. These tools will be used to propagate more realistic CMEs to 1AU. The properties of the simulated CMEs (direction, velocity, acceleration, morphology, and shock-driving capability) will be compared with all available observations (coronal EUV and X-ray, white-light and in situ data).
该项目涉及日冕物质抛射,这是从太阳猛烈喷出的等离子体,造成空间天气。了解这些喷发是如何发生的以及它们如何向地球传播,以便准确预测它们的行为至关重要。目前的太阳和空间观测站提供了前所未有的地表磁场、极紫外线和X射线日冕结构的时空覆盖。在这项研究中,数据约束的模拟CME的启动和传播将从现实的初始条件开始的磁场和等离子体的一个活跃的区域,包含一个通量绳的爆发边缘。这些模拟将提供一个独特的机会来调查CME的爆发和早期发展背后的过程。该项目有以下科学目标:1)开发高度受观测约束的CME启动模型,以研究CME的早期发展阶段; 2)限制太阳附近的CME属性(动力学、形态学、冲击和压缩区域参数),3)利用数据约束的磁流体动力学(MHD)模拟再现了观测到的CME的三部分两前锋结构及其原位性质。观测到的喷发活动区的数据约束非线性无力场模型将用作空间气象建模框架全球磁流体动力学代码的初始条件。活动区和磁绳等离子体的初始条件也将受到使用最近开发的分析技术的数据的约束。这些工具将用于将更真实的CME传播到1AU。模拟CME的特性(方向,速度,加速度,形态和冲击驱动能力)将与所有可用的观测(日冕EUV和X射线,白光和原位数据)进行比较。
项目成果
期刊论文数量(0)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
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Jie Zhang其他文献
RESEARCH ON LEACHING P2O5 FROM LOW-GRADE PHOSPHATE ORE VIA ORGANIC ACID SOLUTION
有机酸溶液从低品位磷矿中浸出P2O5的研究
- DOI:
10.1155/2019/9859580 - 发表时间:
2019 - 期刊:
- 影响因子:2.6
- 作者:
Fei Xie;Jie Zhang;Jiyan Chen;Jianrui Wang;Lin Wu - 通讯作者:
Lin Wu
Take Renewable Energy into CRAN toward Green Wireless Access Networks
将可再生能源引入CRAN,迈向绿色无线接入网络
- DOI:
10.1109/mnet.2017.1600333 - 发表时间:
2017-07 - 期刊:
- 影响因子:0
- 作者:
Deze Zeng;Jie Zhang;Song Guo;Lin Gu;Kun Wang - 通讯作者:
Kun Wang
Reactions of POCOP pincer palladium benzylthiolate complexes with BH3$THF: Isolation and characterization of unstable POCOP-Pd(h1 -HBH3) complexes
POCOP 钳形钯苄基硫醇络合物与 BH3$THF 的反应:不稳定 POCOP-Pd(h1 -HBH3) 络合物的分离和表征
- DOI:
- 发表时间:
2019 - 期刊:
- 影响因子:2.3
- 作者:
Jie Zhang;Yazhou Ding;Qiang-Qiang Ma;Bula Cao;Jiarui Chang;Shujun Li;Xuenian Chen - 通讯作者:
Xuenian Chen
A Division Method of Renewable Energy Generation Cluster
一种可再生能源发电集群的划分方法
- DOI:
10.1109/icpre55555.2022.9960481 - 发表时间:
2022 - 期刊:
- 影响因子:0
- 作者:
Suwei Zhai;Wenyun Li;Jie Gao;Donglan Ling;Jie Zhang;Jiyong Xu - 通讯作者:
Jiyong Xu
Reliability Evaluation for Multi-State Markov Repairable Systems with Redundant Dependencies
具有冗余依赖性的多状态马尔可夫可修复系统的可靠性评估
- DOI:
10.1080/16843703.2013.11673414 - 发表时间:
2013-01 - 期刊:
- 影响因子:2.8
- 作者:
Liying Wang;Xujie Jia;Jie Zhang - 通讯作者:
Jie Zhang
Jie Zhang的其他文献
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{{ truncateString('Jie Zhang', 18)}}的其他基金
Autonomous Vehicular Edge Computing and Networking for Intelligent Transportation
智能交通的自主车辆边缘计算和网络
- 批准号:
EP/Y025989/1 - 财政年份:2023
- 资助金额:
$ 16.25万 - 项目类别:
Research Grant
Logistics Optimisation After Brexit and COVID-19
英国脱欧和 COVID-19 后的物流优化
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EP/W014912/1 - 财政年份:2023
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Research Grant
Doctoral Dissertation Research: The Representation and Processing of Vowel Contrasts
博士论文研究:元音对比的表示和处理
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2314478 - 财政年份:2023
- 资助金额:
$ 16.25万 - 项目类别:
Standard Grant
Customising Indoor Radio Environments for Dual-functional radar-communication systems
为双功能雷达通信系统定制室内无线电环境
- 批准号:
EP/Y023382/1 - 财政年份:2023
- 资助金额:
$ 16.25万 - 项目类别:
Fellowship
Cooperative and Intelligent Unmanned Aerial Vehicles for Emergency Response Applications
用于应急响应应用的协作和智能无人机
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EP/Y028066/1 - 财政年份:2023
- 资助金额:
$ 16.25万 - 项目类别:
Research Grant
A Team-Based Model for Co-Adapting Existing Middle-School Science Curricula for Culturally and Linguistically Diverse Learners
基于团队的模型,为文化和语言多样化的学习者共同调整现有的中学科学课程
- 批准号:
2247435 - 财政年份:2023
- 资助金额:
$ 16.25万 - 项目类别:
Continuing Grant
EAGER: Collaborative Research:Blockchain Graphs as Testbeds of Power Grid Resilience and Functionality Metrics
EAGER:协作研究:区块链图作为电网弹性和功能指标的测试平台
- 批准号:
2039701 - 财政年份:2020
- 资助金额:
$ 16.25万 - 项目类别:
Standard Grant
Travel Support for Hinode-14/IRIS-11 Joint Science Meeting
Hinode-14/IRIS-11 联合科学会议的差旅支持
- 批准号:
2025986 - 财政年份:2020
- 资助金额:
$ 16.25万 - 项目类别:
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Neural mechanisms for phonological alternation with high and low productivity - a case study on tone sandhi
高低生产力语音交替的神经机制——连读变调案例研究
- 批准号:
1826547 - 财政年份:2018
- 资助金额:
$ 16.25万 - 项目类别:
Standard Grant
EAGER: Collaborative Research: Local Topological Properties of Power Flow Networks, and Their Role in Power System Functionality
EAGER:协作研究:潮流网络的局部拓扑特性及其在电力系统功能中的作用
- 批准号:
1824716 - 财政年份:2018
- 资助金额:
$ 16.25万 - 项目类别:
Standard Grant
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