Statistical studies of geomagnetic storms with peak Dst≤−50 nT from 1957 to 2008
A catalog of 1377 geomagnetic storms with peak Dst ( Dst p )≤−50 nT for the period 1957–2008 has been compiled. The dependence of Dst p on the solar cycle and annual variation are studied in this paper. It is found that geomagnetic storm peak intensity distribution can be described by an exponential...
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Published in | Journal of atmospheric and solar-terrestrial physics Vol. 73; no. 11; pp. 1454 - 1459 |
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Main Authors | , , |
Format | Journal Article Conference Proceeding |
Language | English |
Published |
Kidlington
Elsevier Ltd
01.07.2011
Elsevier |
Subjects | |
Online Access | Get full text |
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Summary: | A catalog of 1377 geomagnetic storms with peak
Dst (
Dst
p
)≤−50
nT for the period 1957–2008 has been compiled. The dependence of
Dst
p
on the solar cycle and annual variation are studied in this paper. It is found that geomagnetic storm peak intensity distribution can be described by an exponential form,
P
(
D
s
t
p
)
≈
1.2
e
−
D
s
t
p
/
34
, where
P is the probability of geomagnetic storm occurrence with a given value
Dst
p
. The updated solar cycle and annual distribution of geomagnetic storms have confirmed the expected behavior. For the solar cycle variation, geomagnetic storms display a two-peak distribution, with one peak close to solar maximum and the other a few years later in the beginning of the declining phase. Geomagnetic storms follow the well-known seasonal variation of geomagnetic activity. More intense storms show a peak in probability occurrence in July, confirming previous observations. These results are of practical importance for space weather applications.
► A catalog of 1377 geomagnetic storms (
Dst ≤−50
nT) for the period 1957–2008 was compiled. ► It is found that geomagnetic storm distribution can be described by an exponential form. ► Geomagnetic storms display a two-peak distribution with the solar cycle. ► Geomagnetic storms follow the well-known seasonal variation of geomagnetic activity. ► More intense storms show a peak in probability occurrence in July. |
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ISSN: | 1364-6826 1879-1824 |
DOI: | 10.1016/j.jastp.2011.04.021 |