Statistical Properties of Geomagnetic Activity Indices and Solar Wind Parameters
As the prediction of geomagnetic storms is becoming an important and practical problem, conditions in the Earth’s magnetosphere have been studied rigorously in terms of those in the interplanetary space. Another approach to space weather forecast is to deal with it as a probabilistic geomagnetic s...
| Main Authors: | , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
The Korean Space Science Society
2014-06-01
|
| Series: | Journal of Astronomy and Space Sciences |
| Subjects: | |
| Online Access: | http://ocean.kisti.re.kr/downfile/volume/kosss/OJOOBS/2014/v31n2/OJOOBS_2014_v31n2_149.pdf |
| _version_ | 1797370328781946880 |
|---|---|
| author | Jung-Hee Kim Heon-Young Chang |
| author_facet | Jung-Hee Kim Heon-Young Chang |
| author_sort | Jung-Hee Kim |
| collection | DOAJ |
| description | As the prediction of geomagnetic storms is becoming an important and practical problem, conditions in the Earth’s
magnetosphere have been studied rigorously in terms of those in the interplanetary space. Another approach to space
weather forecast is to deal with it as a probabilistic geomagnetic storm forecasting problem. In this study, we carry
out detailed statistical analysis of solar wind parameters and geomagnetic indices examining the dependence of the
distribution on the solar cycle and annual variations. Our main findings are as follows: (1) The distribution of parameters
obtained via the superimposed epoch method follows the Gaussian distribution. (2) When solar activity is at its maximum
the mean value of the distribution is shifted to the direction indicating the intense environment. Furthermore, the width of
the distribution becomes wider at its maximum than at its minimum so that more extreme case can be expected. (3) The
distribution of some certain heliospheric parameters is less sensitive to the phase of the solar cycle and annual variations.
(4) The distribution of the eastward component of the interplanetary electric field BV and the solar wind driving function
BV2, however, appears to be all dependent on the solar maximum/minimum, the descending/ascending phases of the
solar cycle and the equinoxes/solstices. (5) The distribution of the AE index and the Dst index shares statistical features
closely with BV and BV2 compared with other heliospheric parameters. In this sense, BV and BV2 are more robust proxies of
the geomagnetic storm. We conclude by pointing out that our results allow us to step forward in providing the occurrence
probability of geomagnetic storms for space weather and physical modeling. |
| first_indexed | 2024-03-08T18:00:52Z |
| format | Article |
| id | doaj.art-0a32f236abf14122a1f04c1c9fe461b6 |
| institution | Directory Open Access Journal |
| issn | 2093-5587 2093-1409 |
| language | English |
| last_indexed | 2024-03-08T18:00:52Z |
| publishDate | 2014-06-01 |
| publisher | The Korean Space Science Society |
| record_format | Article |
| series | Journal of Astronomy and Space Sciences |
| spelling | doaj.art-0a32f236abf14122a1f04c1c9fe461b62024-01-02T01:19:41ZengThe Korean Space Science SocietyJournal of Astronomy and Space Sciences2093-55872093-14092014-06-0131214915710.5140/JASS.2014.31.2.149Statistical Properties of Geomagnetic Activity Indices and Solar Wind ParametersJung-Hee Kim0Heon-Young Chang1Department of Astronomy and Atmospheric Sciences, Kyungpook National University, Daegu 702-701, KoreaDepartment of Astronomy and Atmospheric Sciences, Kyungpook National University, Daegu 702-701, KoreaAs the prediction of geomagnetic storms is becoming an important and practical problem, conditions in the Earth’s magnetosphere have been studied rigorously in terms of those in the interplanetary space. Another approach to space weather forecast is to deal with it as a probabilistic geomagnetic storm forecasting problem. In this study, we carry out detailed statistical analysis of solar wind parameters and geomagnetic indices examining the dependence of the distribution on the solar cycle and annual variations. Our main findings are as follows: (1) The distribution of parameters obtained via the superimposed epoch method follows the Gaussian distribution. (2) When solar activity is at its maximum the mean value of the distribution is shifted to the direction indicating the intense environment. Furthermore, the width of the distribution becomes wider at its maximum than at its minimum so that more extreme case can be expected. (3) The distribution of some certain heliospheric parameters is less sensitive to the phase of the solar cycle and annual variations. (4) The distribution of the eastward component of the interplanetary electric field BV and the solar wind driving function BV2, however, appears to be all dependent on the solar maximum/minimum, the descending/ascending phases of the solar cycle and the equinoxes/solstices. (5) The distribution of the AE index and the Dst index shares statistical features closely with BV and BV2 compared with other heliospheric parameters. In this sense, BV and BV2 are more robust proxies of the geomagnetic storm. We conclude by pointing out that our results allow us to step forward in providing the occurrence probability of geomagnetic storms for space weather and physical modeling.http://ocean.kisti.re.kr/downfile/volume/kosss/OJOOBS/2014/v31n2/OJOOBS_2014_v31n2_149.pdfSolar windIMFgeomagnetic indexdata analysis |
| spellingShingle | Jung-Hee Kim Heon-Young Chang Statistical Properties of Geomagnetic Activity Indices and Solar Wind Parameters Journal of Astronomy and Space Sciences Solar wind IMF geomagnetic index data analysis |
| title | Statistical Properties of Geomagnetic Activity Indices and Solar Wind Parameters |
| title_full | Statistical Properties of Geomagnetic Activity Indices and Solar Wind Parameters |
| title_fullStr | Statistical Properties of Geomagnetic Activity Indices and Solar Wind Parameters |
| title_full_unstemmed | Statistical Properties of Geomagnetic Activity Indices and Solar Wind Parameters |
| title_short | Statistical Properties of Geomagnetic Activity Indices and Solar Wind Parameters |
| title_sort | statistical properties of geomagnetic activity indices and solar wind parameters |
| topic | Solar wind IMF geomagnetic index data analysis |
| url | http://ocean.kisti.re.kr/downfile/volume/kosss/OJOOBS/2014/v31n2/OJOOBS_2014_v31n2_149.pdf |
| work_keys_str_mv | AT jungheekim statisticalpropertiesofgeomagneticactivityindicesandsolarwindparameters AT heonyoungchang statisticalpropertiesofgeomagneticactivityindicesandsolarwindparameters |