Recurrent Patterns in Dst Time Series

This study reports one approach for the classification of magnetic storms into recurrent patterns. A storm event is defined as a local minimum of Dst index. The analysis of Dst index for the period of year 1957 through year 2000 has demonstrated that a large portion of the storm events can be classi...

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Main Authors: Hee-Jeong Kim, Dae-Young Lee, Wongyu Choe
Format: Article
Language:English
Published: The Korean Space Science Society 2003-06-01
Series:Journal of Astronomy and Space Sciences
Subjects:
Online Access:http://ocean.kisti.re.kr/downfile/volume/kosss/OJOOBS/2003/v20n2/OJOOBS_2003_v20n2_101.pdf
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author Hee-Jeong Kim
Dae-Young Lee
Wongyu Choe
author_facet Hee-Jeong Kim
Dae-Young Lee
Wongyu Choe
author_sort Hee-Jeong Kim
collection DOAJ
description This study reports one approach for the classification of magnetic storms into recurrent patterns. A storm event is defined as a local minimum of Dst index. The analysis of Dst index for the period of year 1957 through year 2000 has demonstrated that a large portion of the storm events can be classified into a set of recurrent patterns. In our approach, the classification is performed by seeking a categorization that minimizes thermodynamic free energy which is defined as the sum of classification errors and entropy. The error is calculated as the squared sum of the value differences between events. The classification depends on the noise parameter T that represents the strength of the intrinsic error in the observation and classification process. The classification results would be applicable in space weather forecasting.
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spelling doaj.art-4cb0751a43f04e488aaec5c8142f19b42024-02-02T22:40:01ZengThe Korean Space Science SocietyJournal of Astronomy and Space Sciences2093-55872093-14092003-06-0120210110810.5140/JASS.2003.20.2.101Recurrent Patterns in Dst Time SeriesHee-Jeong Kim0Dae-Young Lee1Wongyu Choe2Department of Astronomy and Space Science, College of Natural Sciences and Institute for Basic Science Research, Chungbuk National University, Chungju, KoreaDepartment of Astronomy and Space Science, College of Natural Sciences and Institute for Basic Science Research, Chungbuk National University, Chungju, KoreaAIT Inc., Seocho-dong 1564-11, Seoul, 137-874, KoreaThis study reports one approach for the classification of magnetic storms into recurrent patterns. A storm event is defined as a local minimum of Dst index. The analysis of Dst index for the period of year 1957 through year 2000 has demonstrated that a large portion of the storm events can be classified into a set of recurrent patterns. In our approach, the classification is performed by seeking a categorization that minimizes thermodynamic free energy which is defined as the sum of classification errors and entropy. The error is calculated as the squared sum of the value differences between events. The classification depends on the noise parameter T that represents the strength of the intrinsic error in the observation and classification process. The classification results would be applicable in space weather forecasting.http://ocean.kisti.re.kr/downfile/volume/kosss/OJOOBS/2003/v20n2/OJOOBS_2003_v20n2_101.pdfDst indexrecurrent patternsstorm classification
spellingShingle Hee-Jeong Kim
Dae-Young Lee
Wongyu Choe
Recurrent Patterns in Dst Time Series
Journal of Astronomy and Space Sciences
Dst index
recurrent patterns
storm classification
title Recurrent Patterns in Dst Time Series
title_full Recurrent Patterns in Dst Time Series
title_fullStr Recurrent Patterns in Dst Time Series
title_full_unstemmed Recurrent Patterns in Dst Time Series
title_short Recurrent Patterns in Dst Time Series
title_sort recurrent patterns in dst time series
topic Dst index
recurrent patterns
storm classification
url http://ocean.kisti.re.kr/downfile/volume/kosss/OJOOBS/2003/v20n2/OJOOBS_2003_v20n2_101.pdf
work_keys_str_mv AT heejeongkim recurrentpatternsindsttimeseries
AT daeyounglee recurrentpatternsindsttimeseries
AT wongyuchoe recurrentpatternsindsttimeseries