Coronal Mass Ejections travel time

AbstractCoronal mass ejections (CMEs) are the main source of intense geomagnetic storms when they are earthward directed. Studying their travel time is a key-point to understand when the disturbance will be observed at Earth. In this work, we study the CME that originated the interplanetary disturbance observed on 2013/10/02. According to the observations, the CME that caused the interplanetary disturbance was ejected on 2013/09/29. We obtained the CME speed and estimate of the time of arrival at the Lagrangian Point L1 using the concept of expansion speed. We found that observed and estimated times of arrival of the shock differ between 2 and 23 hours depending on method used to estimate the radial speed.

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Modeling of coronal mass ejections that caused particularly large geomagnetic storms using ENLIL heliosphere cone model

Space Weather ◽

10.1029/2010sw000642 ◽

2011 ◽

Vol 9 (6) ◽

pp. n/a-n/a ◽

Cited By ~ 20

Author(s):

A. Taktakishvili ◽

A. Pulkkinen ◽

P. MacNeice ◽

M. Kuznetsova ◽

M. Hesse ◽

...

Keyword(s):

Coronal Mass Ejections ◽

Geomagnetic Storms ◽

Cone Model

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Pursuing Forecasts of the Behavior and Arrival of Coronal Mass Ejections through Modeling and Observations

Proceedings of the International Astronomical Union ◽

10.1017/s1743921317010882 ◽

2017 ◽

Vol 13 (S335) ◽

pp. 58-64 ◽

Cited By ~ 1

Author(s):

Hebe Cremades

Keyword(s):

Remote Sensing ◽

Coronal Mass Ejections ◽

Empirical Models ◽

Time Of Arrival ◽

Data Sets ◽

Radio Waves ◽

Weather Forecasts ◽

The Past ◽

Increasing Demand ◽

Solar Disturbances

AbstractSophisticated instrumentation dedicated to studying and monitoring our Sun’s activity has proliferated in the past few decades, together with the increasing demand of specialized space weather forecasts that address the needs of commercial and government systems. As a result, theoretical and empirical models and techniques of increasing complexity have been developed, aimed at forecasting the occurrence of solar disturbances, their evolution, and time of arrival to Earth. Here we will review groundbreaking and recent methods to predict the propagation and evolution of coronal mass ejections and their driven shocks. The methods rely on a wealth of data sets provided by ground- and space-based observatories, involving remote-sensing observations of the corona and the heliosphere, as well as detections of radio waves.

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Exploring Passengers’ Travel Behaviors Based on Elaboration Likelihood Model under the Impact of Intelligent Bus Information

Journal of Advanced Transportation ◽

10.1155/2019/9095279 ◽

2019 ◽

Vol 2019 ◽

pp. 1-12 ◽

Cited By ~ 2

Author(s):

Fan Wu ◽

Xiaowei Hu ◽

Shi An ◽

Duo Zhang

Keyword(s):

Travel Time ◽

Significant Influence ◽

Choice Behavior ◽

Elaboration Likelihood Model ◽

Elaboration Likelihood ◽

Time Of Arrival ◽

Road Congestion ◽

Likelihood Model ◽

Types Of Information ◽

The Impact

The ubiquitous intelligent transportation infrastructure in metropolitan cities has enabled bus passengers to access comprehensive (even real-time) bus information. However, the impact of different types of information on passenger behavior is still insufficiently understood. Combining with the theory of information processing path, this study partially fills this gap by adopting an elaboration likelihood model (ELM) suitable for explaining how the various types of intelligent bus information influence passengers’ choice behavior. Six types of intelligent bus information (information of bus lines, estimated travel time, estimated time of arrival, congestion inside bus, road congestion, and bus fare) are used as six independent variables, and passengers’ departure time, travel routes, and travel modes as dependent variables. Valid questionnaire assessments were collected from 285 participants at 4 bus stops equipped with intelligent bus system in Harbin, providing quantitative data to verify each hypothesis. The results show that six types of intelligent bus information to different degrees (significant influence, slight influence, and no significant influence) affect three types of passengers’ choice behaviors; the information of estimated travel time and that of road congestion are both significantly effective in all three types of choice behavior while bus fare has no significant influence. Meanwhile, other types of information have a significant or slight effect on certain behavior. The results of this study can be used to design more reasonable intelligent bus information provision strategies to meet passengers’ requirements.

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Ring current ions and radiation belt electrons during geomagnetic storms driven by coronal mass ejections and corotating interaction regions

Geophysical Research Letters ◽

10.1029/2005gl024590 ◽

2005 ◽

Vol 32 (21) ◽

Cited By ~ 122

Author(s):

Yoshizumi Miyoshi ◽

Ryuho Kataoka

Keyword(s):

Coronal Mass Ejections ◽

Radiation Belt ◽

Ring Current ◽

Geomagnetic Storms ◽

Corotating Interaction Regions ◽

Radiation Belt Electrons ◽

Interaction Regions

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Formation of a strong southward IMF near the solar maximum of cycle 23

Annales Geophysicae ◽

10.5194/angeo-22-673-2004 ◽

2004 ◽

Vol 22 (2) ◽

pp. 673-687 ◽

Cited By ~ 5

Author(s):

S. Watari ◽

M. Vandas ◽

T. Watanabe

Keyword(s):

Solar Wind ◽

Magnetic Fields ◽

Geomagnetic Storms ◽

Solar Maximum ◽

Interplanetary Shocks ◽

Physical Processes ◽

Interplanetary Magnetic Fields ◽

Interplanetary Physics ◽

Solar Wind Parameters ◽

Interplanetary Disturbance

Abstract. We analyzed observations of the solar activities and the solar wind parameters associated with large geomagnetic storms near the maximum of solar cycle 23. This analysis showed that strong southward interplanetary magnetic fields (IMFs), formed through interaction between an interplanetary disturbance, and background solar wind or between interplanetary disturbances are an important factor in the occurrence of intense geomagnetic storms. Based on our analysis, we seek to improve our understanding of the physical processes in which large negative Bz's are created which will lead to improving predictions of space weather. Key words. Interplanetary physics (Flare and stream dynamics; Interplanetary magnetic fields; Interplanetary shocks)

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