2014
DOI: 10.1088/0004-637x/787/2/119
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Connecting Speeds, Directions and Arrival Times of 22 Coronal Mass Ejections From the Sun to 1 Au

Abstract: Forecasting the in situ properties of coronal mass ejections (CMEs) from remote images is expected to strongly enhance predictions of space weather and is of general interest for studying the interaction of CMEs with planetary environments. We study the feasibility of using a single heliospheric imager (HI) instrument, imaging the solar wind density from the Sun to 1 AU, for connecting remote images to in situ observations of CMEs. We compare the predictions of speed and arrival time for 22 CMEs (in 2008CMEs (… Show more

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Cited by 172 publications
(243 citation statements)
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References 87 publications
(234 reference statements)
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“…To understand and forecast these disturbances in interplanetary (IP) space caused by CMEs, it is essential to obtain their three-dimensional (3D) parameters, such as speed, width, and propagation direction (Taktakishvili et al 2009;Lugaz et al 2011;Jang et al 2014;Lee et al 2014;Möstl et al 2014).…”
Section: Introductionmentioning
confidence: 99%
“…To understand and forecast these disturbances in interplanetary (IP) space caused by CMEs, it is essential to obtain their three-dimensional (3D) parameters, such as speed, width, and propagation direction (Taktakishvili et al 2009;Lugaz et al 2011;Jang et al 2014;Lee et al 2014;Möstl et al 2014).…”
Section: Introductionmentioning
confidence: 99%
“…1 in Gopalswamy et al 2013). The speeds resulting from multi-spacecraft modelling by Möstl et al (2014) or Shi et al (2015) are represented by filled blue circles and triangles, respectively. The comparison between predictions, observations and modelling in Figure 5 reveals a large spread of CME speeds derived from different techniques.…”
Section: Cme Speed Determinationmentioning
confidence: 99%
“…The green inverted triangles show the higher of the two CME speeds measured in the STEREO/ COR2 images by Gopalswamy et al (2013). The blue circles and blue triangles are the speeds resulting from multi-spacecraft modelling by Möstl et al (2014) and Shi et al (2015). The red filled squares denote the speeds found from the microwave fluence by using least squares (LS) fitting.…”
Section: Prediction Of Icme Arrival Timesmentioning
confidence: 99%
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