Erratum to: Statistical Study of ICMEs and Their Sheaths During Solar Cycle 23 (1996 – 2008)

Mitsakou, E.; Moussas, X.

doi:10.1007/s11207-014-0575-x

Cited by 2 publications

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“…As a consequence, dispersions may be important and have to be considered. In order to check if caught events correspond to real events, we have done a comparison with two lists of events, one of 279 CMEs (from July 1998 to December 2009) [see Mitsakou and Moussas , , ] and another of 443 Stream Interaction Regions (SIRs) (from July 1998 to December 2009) [see Jian et al , ]. 129 CMEs and 151 SIRs were caught by our criteria on

L_{normalm normalp}^{*}

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Section: A Statistical Validation Using a Superposed Epoch Analysis Based On Noaa‐poes Data Setmentioning

confidence: 99%

“…The restrictive and arbitrary condition on this criterion and the geoeffectiveness of CMEs and SIRs could explain events which have not been detected by the filter. Indeed, the definition of the beginning of events can be different from a list to another (see Mitsakou and Moussas [, ] and Jian et al [] for more details). It is finally important to keep in mind that the criterion we have implemented tends to filter only the most geoeffective ones.…”

Section: A Statistical Validation Using a Superposed Epoch Analysis Based On Noaa‐poes Data Setmentioning

confidence: 99%

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Characterizing magnetopause shadowing effects in the outer electron radiation belt during geomagnetic storms

2016

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Relativistic electrons dynamics is still challenging to predict during the main phase of a storm. In particular, three dimensions radiation belt models, for which temporal resolution is limited, fail in predicting their behavior, especially when dropouts occur. In this paper we present a new model of magnetopause shadowing losses to be incorporated into the ONERA Salammbô code in order to improve the model accuracy. We show in this paper that above a few hundred keVs, magnetopause shadowing is the first contribution to losses in the outer electron belt during dropout events. Global variations of Earth‐magnetopause distance and relativistic electron flux have been analyzed to establish the correlation between the magnetopause shadowing and dropouts on the outer electron radiation belt during geomagnetic storms. To that purpose, a Superposed Epoch Analysis has been done using NOAA Polar‐orbiting Operational Environmental Satellite 15 measurements. First, a list of 67 Stream Interfaces has been used to validate the method, and then the Superposed Epoch Analysis has been run over more than one solar cycle. Our results show that the model of magnetopause location we have developed fits well with a Superposed Epoch Analysis performed and that we are able to define a criteria based on it that detect intense dropouts. Finally, we have included this model in the Salammbô code, and we present here the improvements obtained as well as the validation made.

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L_{normalm normalp}^{*}

.…”

Section: A Statistical Validation Using a Superposed Epoch Analysis Based On Noaa‐poes Data Setmentioning

confidence: 99%

Section: A Statistical Validation Using a Superposed Epoch Analysis Based On Noaa‐poes Data Setmentioning

confidence: 99%

Characterizing magnetopause shadowing effects in the outer electron radiation belt during geomagnetic storms

2016

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“…Our list is based on the merger of two lists: an ICMEs list and a magnetic clouds list. The first one was provided by Mitsakou and Moussas (2014b) and corrected a few months later (Mitsakou and Moussas, 2014a). By studying the evolution of the magnetic field, the proton density, and the temperature, the authors identified 325 ICMEs in the 1 min OMNI database in the 1996-2008 time period.…”

Section: List Of Eventsmentioning

confidence: 99%

Understanding the variability of magnetic storms caused by ICMEs

Benacquista¹,

Rochel²,

Rolland³

2017

Ann. Geophys.

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Abstract. In this paper, we study the dynamics of magnetic storms due to interplanetary coronal mass ejections (ICMEs). We used multi-epoch superposed epoch analyses (SEAs) with a choice of epoch times based on the structure of the events. By sorting the events with respect to simple large-scale features (presence of a shock, magnetic structure, polarity of magnetic clouds), this method provides an original insight into understanding the variability of magnetic storm dynamics. Our results show the necessity of seeing ICMEs and their preceding sheaths as a whole since each substructure impacts the other and has an effect on its geoeffectiveness. It is shown that the presence of a shock drives the geoeffectiveness of the sheaths, while both the shock and the magnetic structure impact the geoeffectiveness of the ICMEs. In addition, we showed that the ambient solar wind characteristics are not the same for ejecta and magnetic clouds (MCs). The ambient solar wind upstream magnetic clouds are quieter than upstream ejecta and particularly slower. We also focused on the polarity of magnetic clouds since it drives not only their geoeffectiveness but also their temporal dynamics. South–north magnetic clouds (SN-MCs) and north–south magnetic clouds (NS-MCs) show no difference in geoeffectiveness for our sample of events. Lastly, since it is well-known that sequences of events can possibly induce strong magnetic storms, such sequences have been studied using superposed epoch analysis (SEA) for the first time. We found that these sequences of ICMEs are very usual and concern about 40 % of the ICMEs. Furthermore, they cause much more intense magnetic storms than isolated events do.

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Erratum to: Statistical Study of ICMEs and Their Sheaths During Solar Cycle 23 (1996 – 2008)

Abstract: The Appendix (Table 6) and the downloadable version available as Electronic Supplementary Material should be replaced with those given here. We regret the inconvenience.The online version of the original article can be found under

Cited by 2 publications

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Characterizing magnetopause shadowing effects in the outer electron radiation belt during geomagnetic storms

Characterizing magnetopause shadowing effects in the outer electron radiation belt during geomagnetic storms

Understanding the variability of magnetic storms caused by ICMEs

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