Relationship between CME Speed and Geomagnetic Storm Intensity

Srivastava, Nandita; Venkatakrishnan, P.

doi:10.1029/2001gl013597

Cited by 64 publications

(51 citation statements)

References 17 publications

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“…The region was very complex, with a beta-gamma-delta (BGD) configuration. Further details of this event can be found in Srivastava and Venkatakrishnan (2002). flare at 10:09 UT in the eastern part of the same active region were recorded.…”

Section: March 2001 (Dmentioning

confidence: 99%

“…As can be noticed from Table 2, the location and size of active regions appear to play important roles in producing strong geo-effective events. The active region AR9393 of March 2001, is one of the largest groups of sunspots ever observed and is the largest of the present cycle to date (Srivastava and Venkatakrishnan, 2002 with the super-storms. The source CMEs were observed as full halos in the LASCO field of view.…”

Section: Solar Sources Of Super-stormsmentioning

confidence: 99%

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Predicting the occurrence of super-storms

Srivastava

2005

Ann. Geophys.

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Abstract.A comparative study of five super-storms (D st <−300 nT) of the current solar cycle after the launch of SoHO, to identify solar and interplanetary variables that influence the magnitude of resulting geomagnetic storms, is described. Amongst solar variables, the initial speed of a CME is considered the most reliable predictor of the strength of the associated geomagnetic storm because fast mass ejections are responsible for building up the ram pressure at the Earth's magnetosphere. However, although most of the super-storms studied were associated with high speed CMEs, the D st index of the resulting geomagnetic storms varied between −300 to −472 nT. The most intense storm of 20 November 2003, (D st ∼−472 nT) had its source in a comparatively smaller active region and was associated with a relatively weaker, M-class flare while all other super-storms had their origins in large active regions and were associated with strong X-class flares. However, this superstorm did not show any associated extraordinary solar and interplanetary characteristics. The study also reveals the challenge in the reliable prediction of the magnitude of a geomagnetic storm from solar and interplanetary variables.

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Section: March 2001 (Dmentioning

confidence: 99%

Section: Solar Sources Of Super-stormsmentioning

confidence: 99%

Predicting the occurrence of super-storms

Srivastava

2005

Ann. Geophys.

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“…It is now well established that most of the strong geomagnetic storms have their sources in fast-moving halo CMEs (Gosling et al, 1990;Srivastava and Venkatakrishnan, 2002). However, there are exceptional cases where some intense storms cannot be traced back to a single or a full halo CME, as observed by Cane and Richardson (2003); Zhang et al (2003); Zhao and Webb (2003); Schwenn et al (2005).…”

Section: Introductionmentioning

confidence: 99%

A logistic regression model for predicting the occurrence of intense geomagnetic storms

Srivastava

2005

Ann. Geophys.

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Abstract.A logistic regression model is implemented for predicting the occurrence of intense/super-intense geomagnetic storms. A binary dependent variable, indicating the occurrence of intense/super-intense geomagnetic storms, is regressed against a series of independent model variables that define a number of solar and interplanetary properties of geo-effective CMEs. The model parameters (regression coefficients) are estimated from a training data set which was extracted from a dataset of 64 geo-effective CMEs observed during 1996-2002. The trained model is validated by predicting the occurrence of geomagnetic storms from a validation dataset, also extracted from the same data set of 64 geoeffective CMEs, recorded during 1996-2002, but not used for training the model. The model predicts 78% of the geomagnetic storms from the validation data set. In addition, the model predicts 85% of the geomagnetic storms from the training data set. These results indicate that logistic regression models can be effectively used for predicting the occurrence of intense geomagnetic storms from a set of solar and interplanetary factors.

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“…Halo CMEs which are associated with major solar flares are generally showed higher speeds and smaller accelerations 12 . High speed CMEs generally create shocks, which are found to be responsible in Forbush type cosmic ray decreases.…”

Section: Resultsmentioning

confidence: 99%

Relationship between speed of Full Halo Coronal Mass Ejections and Cosmic ray intensity

Shrivastava¹,

MESHRAM²,

Ade³

2017

jusps-B

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Halo and Full Halo CMEs (Coronal Mass Ejections) events observed by Solar and Heliospheric observatory (SOHO) mission are used to study their effects on cosmic ray intensity variations during 2009 to 2012, which correspond to ascending phase of recent solar cycle 24. It is found that the speed of HCMEs (Halo Coronal Mass Ejections) are significantly negative correlated with cosmic ray intensity. All the FHCMEs (Full Halo Coronal Mass Ejections) having the linear speed  1000 km/s produce transient decrease in cosmic ray intensity on short-term basis. The results of analysis indicated that the magnitude of decrease in cosmic ray intensity is large for high speed FHCMEs (Full Halo Coronal Mass Ejections) in comparison with low speed FHCMEs (Full Halo Coronal Mass Ejections).

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Relationship between CME Speed and Geomagnetic Storm Intensity

Cited by 64 publications

References 17 publications

Predicting the occurrence of super-storms

Predicting the occurrence of super-storms

A logistic regression model for predicting the occurrence of intense geomagnetic storms

Relationship between speed of Full Halo Coronal Mass Ejections and Cosmic ray intensity

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