Auto-detection of Halo CME Parameters as the Initial Condition of Solar Wind Propagation

Halo coronal mass ejections (CMEs) originating from solar activities give rise to geomagnetic storms when they reach the Earth. Variations in the geomagnetic field during a geomagnetic storm can damage satellites, communication systems, electrical power grids, and power systems, and induce currents....

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Main Authors: Kyu-Cheol Choi, Mi-Young Park, Jae-Hun Kim
Format: Article
Language:English
Published: Korean Space Science Society (KSSS) 2017-12-01
Series:Journal of Astronomy and Space Sciences
Subjects:
Online Access:http://ocean.kisti.re.kr/downfile/volume/kosss/OJOOBS/2017/v34n4/OJOOBS_2017_v34n4_315.pdf
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spelling doaj-263ed2ee06f74d14b5cab410a98173242020-11-25T00:45:01ZengKorean Space Science Society (KSSS)Journal of Astronomy and Space Sciences2093-55872093-14092017-12-0134431533010.5140/JASS.2017.34.4.315Auto-detection of Halo CME Parameters as the Initial Condition of Solar Wind PropagationKyu-Cheol Choi0Mi-Young Park1Jae-Hun Kim2SELab Inc., Seoul 06049, KoreaSELab Inc., Seoul 06049, KoreaKorean Space Weather Center, National Radio Research Agency, Jeju 63025, KoreaHalo coronal mass ejections (CMEs) originating from solar activities give rise to geomagnetic storms when they reach the Earth. Variations in the geomagnetic field during a geomagnetic storm can damage satellites, communication systems, electrical power grids, and power systems, and induce currents. Therefore, automated techniques for detecting and analyzing halo CMEs have been eliciting increasing attention for the monitoring and prediction of the space weather environment. In this study, we developed an algorithm to sense and detect halo CMEs using large angle and spectrometric coronagraph (LASCO) C3 coronagraph images from the solar and heliospheric observatory (SOHO) satellite. In addition, we developed an image processing technique to derive the morphological and dynamical characteristics of halo CMEs, namely, the source location, width, actual CME speed, and arrival time at a 21.5 solar radius. The proposed halo CME automatic analysis model was validated using a model of the past three halo CME events. As a result, a solar event that occurred at 03:38 UT on Mar. 23, 2014 was predicted to arrive at Earth at 23:00 UT on Mar. 25, whereas the actual arrival time was at 04:30 UT on Mar. 26, which is a difference of 5 hr and 30 min. In addition, a solar event that occurred at 12:55 UT on Apr. 18, 2014 was estimated to arrive at Earth at 16:00 UT on Apr. 20, which is 4 hr ahead of the actual arrival time of 20:00 UT on the same day. However, the estimation error was reduced significantly compared to the ENLIL model. As a further study, the model will be applied to many more events for validation and testing, and after such tests are completed, on-line service will be provided at the Korean Space Weather Center to detect halo CMEs and derive the model parameters.http://ocean.kisti.re.kr/downfile/volume/kosss/OJOOBS/2017/v34n4/OJOOBS_2017_v34n4_315.pdfhalo CMEgeomagnetic storm
collection DOAJ
language English
format Article
sources DOAJ
author Kyu-Cheol Choi
Mi-Young Park
Jae-Hun Kim
spellingShingle Kyu-Cheol Choi
Mi-Young Park
Jae-Hun Kim
Auto-detection of Halo CME Parameters as the Initial Condition of Solar Wind Propagation
Journal of Astronomy and Space Sciences
halo CME
geomagnetic storm
author_facet Kyu-Cheol Choi
Mi-Young Park
Jae-Hun Kim
author_sort Kyu-Cheol Choi
title Auto-detection of Halo CME Parameters as the Initial Condition of Solar Wind Propagation
title_short Auto-detection of Halo CME Parameters as the Initial Condition of Solar Wind Propagation
title_full Auto-detection of Halo CME Parameters as the Initial Condition of Solar Wind Propagation
title_fullStr Auto-detection of Halo CME Parameters as the Initial Condition of Solar Wind Propagation
title_full_unstemmed Auto-detection of Halo CME Parameters as the Initial Condition of Solar Wind Propagation
title_sort auto-detection of halo cme parameters as the initial condition of solar wind propagation
publisher Korean Space Science Society (KSSS)
series Journal of Astronomy and Space Sciences
issn 2093-5587
2093-1409
publishDate 2017-12-01
description Halo coronal mass ejections (CMEs) originating from solar activities give rise to geomagnetic storms when they reach the Earth. Variations in the geomagnetic field during a geomagnetic storm can damage satellites, communication systems, electrical power grids, and power systems, and induce currents. Therefore, automated techniques for detecting and analyzing halo CMEs have been eliciting increasing attention for the monitoring and prediction of the space weather environment. In this study, we developed an algorithm to sense and detect halo CMEs using large angle and spectrometric coronagraph (LASCO) C3 coronagraph images from the solar and heliospheric observatory (SOHO) satellite. In addition, we developed an image processing technique to derive the morphological and dynamical characteristics of halo CMEs, namely, the source location, width, actual CME speed, and arrival time at a 21.5 solar radius. The proposed halo CME automatic analysis model was validated using a model of the past three halo CME events. As a result, a solar event that occurred at 03:38 UT on Mar. 23, 2014 was predicted to arrive at Earth at 23:00 UT on Mar. 25, whereas the actual arrival time was at 04:30 UT on Mar. 26, which is a difference of 5 hr and 30 min. In addition, a solar event that occurred at 12:55 UT on Apr. 18, 2014 was estimated to arrive at Earth at 16:00 UT on Apr. 20, which is 4 hr ahead of the actual arrival time of 20:00 UT on the same day. However, the estimation error was reduced significantly compared to the ENLIL model. As a further study, the model will be applied to many more events for validation and testing, and after such tests are completed, on-line service will be provided at the Korean Space Weather Center to detect halo CMEs and derive the model parameters.
topic halo CME
geomagnetic storm
url http://ocean.kisti.re.kr/downfile/volume/kosss/OJOOBS/2017/v34n4/OJOOBS_2017_v34n4_315.pdf
work_keys_str_mv AT kyucheolchoi autodetectionofhalocmeparametersastheinitialconditionofsolarwindpropagation
AT miyoungpark autodetectionofhalocmeparametersastheinitialconditionofsolarwindpropagation
AT jaehunkim autodetectionofhalocmeparametersastheinitialconditionofsolarwindpropagation
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