• 文献检索
  • 文档翻译
  • 深度研究
  • 学术资讯
  • Suppr Zotero 插件Zotero 插件
  • 邀请有礼
  • 套餐&价格
  • 历史记录
应用&插件
Suppr Zotero 插件Zotero 插件浏览器插件Mac 客户端Windows 客户端微信小程序
定价
高级版会员购买积分包购买API积分包
服务
文献检索文档翻译深度研究API 文档MCP 服务
关于我们
关于 Suppr公司介绍联系我们用户协议隐私条款
关注我们

Suppr 超能文献

核心技术专利:CN118964589B侵权必究
粤ICP备2023148730 号-1Suppr @ 2026

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验

太阳风与磁层-电离层系统之间的因果关系及信息传递

Causality and Information Transfer Between the Solar Wind and the Magnetosphere-Ionosphere System.

作者信息

Manshour Pouya, Balasis Georgios, Consolini Giuseppe, Papadimitriou Constantinos, Paluš Milan

机构信息

Department of Complex Systems, Institute of Computer Science of the Czech Academy of Sciences, Pod Vodárenskou věží 2, 182 07 Prague 8, Czech Republic.

Institute for Astronomy, Astrophysics, Space Applications and Remote Sensing, National Observatory of Athens, I. Metaxa & Vas. Pavlou Street, 15236 Penteli, Greece.

出版信息

Entropy (Basel). 2021 Mar 25;23(4):390. doi: 10.3390/e23040390.

DOI:10.3390/e23040390
PMID:33806048
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC8064447/
Abstract

An information-theoretic approach for detecting causality and information transfer is used to identify interactions of solar activity and interplanetary medium conditions with the Earth's magnetosphere-ionosphere systems. A causal information transfer from the solar wind parameters to geomagnetic indices is detected. The vertical component of the interplanetary magnetic field (Bz) influences the auroral electrojet (AE) index with an information transfer delay of 10 min and the geomagnetic disturbances at mid-latitudes measured by the symmetric field in the H component (SYM-H) index with a delay of about 30 min. Using a properly conditioned causality measure, no causal link between AE and SYM-H, or between magnetospheric substorms and magnetic storms can be detected. The observed causal relations can be described as linear time-delayed information transfer.

摘要

一种用于检测因果关系和信息传递的信息论方法被用于识别太阳活动和行星际介质条件与地球磁层-电离层系统之间的相互作用。检测到从太阳风参数到地磁指数的因果信息传递。行星际磁场(Bz)的垂直分量以10分钟的信息传递延迟影响极光电集流(AE)指数,并以约30分钟的延迟影响由H分量对称场(SYM-H)指数测量的中纬度地磁扰动。使用经过适当条件设定的因果关系度量,未检测到AE与SYM-H之间或磁层亚暴与磁暴之间的因果联系。观测到的因果关系可描述为线性时延信息传递。

相似文献

1
Causality and Information Transfer Between the Solar Wind and the Magnetosphere-Ionosphere System.太阳风与磁层-电离层系统之间的因果关系及信息传递
Entropy (Basel). 2021 Mar 25;23(4):390. doi: 10.3390/e23040390.
2
Measuring Information Coupling between the Solar Wind and the Magnetosphere-Ionosphere System.测量太阳风与磁层-电离层系统之间的信息耦合
Entropy (Basel). 2020 Feb 28;22(3):276. doi: 10.3390/e22030276.
3
Sub-Auroral and Mid-Latitude GNSS ROTI Performance during Solar Cycle 24 Geomagnetic Disturbed Periods: Towards Storm's Early Sensing.太阳活动周期24中地磁扰动期间的亚极光和中纬度全球导航卫星系统旋转速率指数(ROTI)性能:迈向风暴早期探测
Sensors (Basel). 2021 Jun 24;21(13):4325. doi: 10.3390/s21134325.
4
Transport of solar wind into Earth's magnetosphere through rolled-up Kelvin-Helmholtz vortices.太阳风通过卷起的开尔文-亥姆霍兹涡旋进入地球磁层。
Nature. 2004 Aug 12;430(7001):755-8. doi: 10.1038/nature02799.
5
The State of the Solar Wind, Magnetosphere, and Ionosphere During the Maunder Minimum.蒙德极小期期间的太阳风、磁层和电离层状态
Proc Int Astron Union. 2018 Feb;13:247-250. doi: 10.1017/S1743921318001199. Epub 2018 Nov 27.
6
North-South Asymmetry in the Geographic Location of Auroral Substorms correlated with Ionospheric Effects.极光亚暴地理位置的南北不对称性与电离层效应相关。
Sci Rep. 2018 Nov 22;8(1):17230. doi: 10.1038/s41598-018-35091-2.
7
Multiple transpolar auroral arcs reveal insight about coupling processes in the Earth's magnetotail.多个跨极极光弧揭示了地球磁尾耦合过程的深入了解。
Proc Natl Acad Sci U S A. 2020 Jul 14;117(28):16193-16198. doi: 10.1073/pnas.2000614117. Epub 2020 Jun 29.
8
Solar wind dynamic pressure and electric field as the main factors controlling Saturn's aurorae.太阳风动压和电场是控制土星极光的主要因素。
Nature. 2005 Feb 17;433(7027):720-2. doi: 10.1038/nature03333.
9
The Earth's Magnetosphere: A Systems Science Overview and Assessment.地球磁层:系统科学概述与评估
Surv Geophys. 2018;39(5):817-859. doi: 10.1007/s10712-018-9487-x. Epub 2018 Jul 20.
10
Assessing the global Alfvén wave power flow into and out of the auroral acceleration region during geomagnetic storms.评估地磁暴期间进出极光加速区的全球阿尔文波能流。
Sci Adv. 2019 Jun 26;5(6):eaav8411. doi: 10.1126/sciadv.aav8411. eCollection 2019 Jun.

引用本文的文献

1
Causes of extreme events revealed by Rényi information transfer.通过雷尼信息传递揭示的极端事件成因。
Sci Adv. 2024 Jul 26;10(30):eadn1721. doi: 10.1126/sciadv.adn1721.
2
Evaluating Ecohydrological Model Sensitivity to Input Variability with an Information-Theory-Based Approach.基于信息论方法评估生态水文模型对输入变异性的敏感性
Entropy (Basel). 2022 Jul 18;24(7):994. doi: 10.3390/e24070994.
3
Reply To: Comments on identifying causal relationships in nonlinear dynamical systems via empirical mode decomposition.回复:关于通过经验模态分解识别非线性动力系统中因果关系的评论。

本文引用的文献

1
Granger Causality on forward and Reversed Time Series.格兰杰因果关系对正向和反向时间序列的影响。
Entropy (Basel). 2021 Mar 30;23(4):409. doi: 10.3390/e23040409.
2
Dynamical Complexity of the 2015 St. Patrick's Day Magnetic Storm at Swarm Altitudes Using Entropy Measures.利用熵测度研究2015年圣帕特里克节磁暴在“蜂群”卫星高度处的动力学复杂性
Entropy (Basel). 2020 May 19;22(5):574. doi: 10.3390/e22050574.
3
Measuring Information Coupling between the Solar Wind and the Magnetosphere-Ionosphere System.测量太阳风与磁层-电离层系统之间的信息耦合
Nat Commun. 2022 May 23;13(1):2859. doi: 10.1038/s41467-022-30360-1.
4
Quantification of the Direct Solar Impact on Some Components of the Hydro-Climatic System.量化太阳对水文气候系统某些组成部分的直接影响。
Entropy (Basel). 2021 May 31;23(6):691. doi: 10.3390/e23060691.
Entropy (Basel). 2020 Feb 28;22(3):276. doi: 10.3390/e22030276.
4
Information Decomposition of Target Effects from Multi-Source Interactions: Perspectives on Previous, Current and Future Work.多源相互作用中目标效应的信息分解:对过往、当前及未来工作的展望
Entropy (Basel). 2018 Apr 23;20(4):307. doi: 10.3390/e20040307.
5
Common solar wind drivers behind magnetic storm-magnetospheric substorm dependency.磁暴-磁层亚暴相关性背后常见的太阳风驱动因素。
Sci Rep. 2018 Nov 19;8(1):16987. doi: 10.1038/s41598-018-35250-5.
6
Causality, dynamical systems and the arrow of time.因果关系、动力系统与时间之箭。
Chaos. 2018 Jul;28(7):075307. doi: 10.1063/1.5019944.
7
Information flow and causality as rigorous notions ab initio.信息流与因果关系从一开始就是严谨的概念。
Phys Rev E. 2016 Nov;94(5-1):052201. doi: 10.1103/PhysRevE.94.052201. Epub 2016 Nov 1.
8
Identifying causal gateways and mediators in complex spatio-temporal systems.识别复杂时空系统中的因果通路和中介因素。
Nat Commun. 2015 Oct 7;6:8502. doi: 10.1038/ncomms9502.
9
Exploration of synergistic and redundant information sharing in static and dynamical Gaussian systems.静态和动态高斯系统中协同与冗余信息共享的探索
Phys Rev E Stat Nonlin Soft Matter Phys. 2015 May;91(5):052802. doi: 10.1103/PhysRevE.91.052802. Epub 2015 May 8.
10
Multiscale atmospheric dynamics: cross-frequency phase-amplitude coupling in the air temperature.多尺度大气动力学:气温的交叉频率相位-幅度耦合。
Phys Rev Lett. 2014 Feb 21;112(7):078702. doi: 10.1103/PhysRevLett.112.078702.