Variation of Magnetic Field (By , Bz) Polarity and Statistical Analysis of Solar Wind Parameters during the Magnetic Storm Period
It is generally believed that the occurrence of a magnetic storm depends upon the solar wind conditions, particularly the southward interplanetary magnetic field (IMF) component. To understand the relationship between solar wind parameters and magnetic storms, variations in magnetic field polarity...
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doaj-3d063c5d82c54165bcf26c3d88d2d25a2020-11-24T22:49:38ZengKorean Space Science Society (KSSS)Journal of Astronomy and Space Sciences2093-55872093-14092011-06-0128212313210.5140/JASS.2011.28.2.123Variation of Magnetic Field (By , Bz) Polarity and Statistical Analysis of Solar Wind Parameters during the Magnetic Storm PeriodGa-Hee Moon0Daegu Science High School, Daegu 706-852, KoreaIt is generally believed that the occurrence of a magnetic storm depends upon the solar wind conditions, particularly the southward interplanetary magnetic field (IMF) component. To understand the relationship between solar wind parameters and magnetic storms, variations in magnetic field polarity and solar wind parameters during magnetic storms are examined. A total of 156 storms during the period of 1997~2003 are used. According to the interplanetary driver, magnetic storms are divided into three types, which are coronal mass ejection (CME)-driven storms, co-rotating interaction region (CIR)-driven storms, and complicated type storms. Complicated types were not included in this study. For this purpose, the manner in which the direction change of IMF By and Bz components (in geocentric solar magnetospheric coordinate system coordinate) during the main phase is related with the development of the storm is examined. The time-integrated solar wind parameters are compared with the time-integrated disturbance storm time (Dst) index during the main phase of each magnetic storm. The time lag with the storm size is also investigated. Some results are worth noting: CME-driven storms, under steady conditions of Bz < 0, represent more than half of the storms in number. That is, it is found that the average number of storms for negative sign of IMF Bz (T1~T4) is high, at 56.4%, 53.0%, and 63.7% in each storm category, respectively. However, for the CIR-driven storms, the percentage of moderate storms is only 29.2%, while the number of intense storms is more than half (60.0%) under the Bz < 0 condition. It is found that the correlation is highest between the time-integrated IMF Bz and the time-integrated Dst index for the CME-driven storms. On the other hand, for the CIR-driven storms, a high correlation is found, with the correlation coefficient being 0.93, between time-integrated Dst index and time-integrated solar wind speed, while a low correlation, 0.51, is found between timeintegrated Bz and time-integrated Dst index. The relationship between storm size and time lag in terms of hours from Bz minimum to Dst minimum values is investigated. For the CME-driven storms, time lag of 26% of moderate storms is one hour, whereas time lag of 33% of moderate storms is two hours for the CIR-driven storms. The average values of solar wind parameters for the CME and CIR-driven storms are also examined. The average values of |Dstmin| and |Bzmin| for the CME-driven storms are higher than those of CIR-driven storms, while the average value of temperature is lower.http://ocean.kisti.re.kr/downfile/volume/kosss/OJOOBS/2011/v28n2/OJOOBS_2011_v28n2_123.pdfdisturbance storm time indexmagnetic stormssolar wind parameters |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Ga-Hee Moon |
spellingShingle |
Ga-Hee Moon Variation of Magnetic Field (By , Bz) Polarity and Statistical Analysis of Solar Wind Parameters during the Magnetic Storm Period Journal of Astronomy and Space Sciences disturbance storm time index magnetic storms solar wind parameters |
author_facet |
Ga-Hee Moon |
author_sort |
Ga-Hee Moon |
title |
Variation of Magnetic Field (By , Bz) Polarity and Statistical Analysis of Solar Wind Parameters during the Magnetic Storm Period |
title_short |
Variation of Magnetic Field (By , Bz) Polarity and Statistical Analysis of Solar Wind Parameters during the Magnetic Storm Period |
title_full |
Variation of Magnetic Field (By , Bz) Polarity and Statistical Analysis of Solar Wind Parameters during the Magnetic Storm Period |
title_fullStr |
Variation of Magnetic Field (By , Bz) Polarity and Statistical Analysis of Solar Wind Parameters during the Magnetic Storm Period |
title_full_unstemmed |
Variation of Magnetic Field (By , Bz) Polarity and Statistical Analysis of Solar Wind Parameters during the Magnetic Storm Period |
title_sort |
variation of magnetic field (by , bz) polarity and statistical analysis of solar wind parameters during the magnetic storm period |
publisher |
Korean Space Science Society (KSSS) |
series |
Journal of Astronomy and Space Sciences |
issn |
2093-5587 2093-1409 |
publishDate |
2011-06-01 |
description |
It is generally believed that the occurrence of a magnetic storm depends upon the solar wind conditions, particularly the
southward interplanetary magnetic field (IMF) component. To understand the relationship between solar wind parameters
and magnetic storms, variations in magnetic field polarity and solar wind parameters during magnetic storms are
examined. A total of 156 storms during the period of 1997~2003 are used. According to the interplanetary driver, magnetic
storms are divided into three types, which are coronal mass ejection (CME)-driven storms, co-rotating interaction
region (CIR)-driven storms, and complicated type storms. Complicated types were not included in this study. For this
purpose, the manner in which the direction change of IMF By and Bz components (in geocentric solar magnetospheric
coordinate system coordinate) during the main phase is related with the development of the storm is examined. The
time-integrated solar wind parameters are compared with the time-integrated disturbance storm time (Dst) index during
the main phase of each magnetic storm. The time lag with the storm size is also investigated. Some results are worth
noting: CME-driven storms, under steady conditions of Bz < 0, represent more than half of the storms in number. That is,
it is found that the average number of storms for negative sign of IMF Bz (T1~T4) is high, at 56.4%, 53.0%, and 63.7% in
each storm category, respectively. However, for the CIR-driven storms, the percentage of moderate storms is only 29.2%,
while the number of intense storms is more than half (60.0%) under the Bz < 0 condition. It is found that the correlation
is highest between the time-integrated IMF Bz and the time-integrated Dst index for the CME-driven storms. On the
other hand, for the CIR-driven storms, a high correlation is found, with the correlation coefficient being 0.93, between
time-integrated Dst index and time-integrated solar wind speed, while a low correlation, 0.51, is found between timeintegrated
Bz and time-integrated Dst index. The relationship between storm size and time lag in terms of hours from Bz
minimum to Dst minimum values is investigated. For the CME-driven storms, time lag of 26% of moderate storms is one
hour, whereas time lag of 33% of moderate storms is two hours for the CIR-driven storms. The average values of solar
wind parameters for the CME and CIR-driven storms are also examined. The average values of |Dstmin| and |Bzmin| for the
CME-driven storms are higher than those of CIR-driven storms, while the average value of temperature is lower. |
topic |
disturbance storm time index magnetic storms solar wind parameters |
url |
http://ocean.kisti.re.kr/downfile/volume/kosss/OJOOBS/2011/v28n2/OJOOBS_2011_v28n2_123.pdf |
work_keys_str_mv |
AT gaheemoon variationofmagneticfieldbybzpolarityandstatisticalanalysisofsolarwindparametersduringthemagneticstormperiod |
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