2014
DOI: 10.1007/s11207-014-0505-y
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Statistical Study of ICMEs and Their Sheaths During Solar Cycle 23 (1996 – 2008)

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Cited by 33 publications
(41 citation statements)
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“…Obtained results on average values and temporal profiles of parameters in ICME (both Ejecta and MC) are in good agreement with earlier published results [Zurbuchen and Richardson, 2006;Richardson and Cane, 2012;Mitsakou and Moussas, 2014]. In addition to previous data we consider separately ICME with Sheath and IS and ICME without them.…”
Section: Discussionsupporting
confidence: 89%
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“…Obtained results on average values and temporal profiles of parameters in ICME (both Ejecta and MC) are in good agreement with earlier published results [Zurbuchen and Richardson, 2006;Richardson and Cane, 2012;Mitsakou and Moussas, 2014]. In addition to previous data we consider separately ICME with Sheath and IS and ICME without them.…”
Section: Discussionsupporting
confidence: 89%
“…Because of further selection on adjacent SW types, the subsets of events have lower statistics, the smallest statistics (nine events) was for MC without Sheath and IS (see Figure 6), and in other cases the subsets included from 18 to 372 events. As each type has characteristic (average) duration (see, e.g., Jian et al [2008], Yermolaev et al [2009], Mitsakou and Moussas [2014], and references therein), and duration of separate events can differ from average, the most effective way of studying of dynamics of parameters is the method of double superposed epoch analysis (DSEA) . We used various fixed durations for various types of streams which are close to average durations of corresponding SW types: 20 h for CIR, 25 h for Ejecta and MC, 14 h for Sheath before Ejecta, and 10 h for Sheath before MC.…”
Section: Methodsmentioning
confidence: 99%
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“…Indeed, in the central part of MCs, the observables are distributed in a log-normal manner (Rodriguez et al 2016). Similar log-normal distributions also have been found for ICME observables in Guo et al (2010) and Mitsakou & Moussas (2014).…”
Section: Methodssupporting
confidence: 74%
“…Solar wind phenomena are typically identified using the standard criteria for the solar wind parameters (Sheeley & Harvey, 1981;Burlaga, 1991;Lepping et al, 2003;Zurbuchen & Richardson, 2006;Yermolaev et al, 2009;Borovsky & Denton, 2010;Mitsakou & Moussas, 2014;Prise et al, 2015). The solar wind features observed in connection with the HSS propagation are CIRs and HSSs (body): CIR is an interaction region between the slow and fast solar wind streams and characterized by an increase and then a decrease in the proton density, an increase in the velocity and kinetic temperature of the protons, an increase in the strength of the interplanetary magnetic field; HSS has the bulk speed V > 450 km s À1 (in the rise of Cycle 24 V > 400 km s À1 , Rod'kin et al, 2016) and low values of the proton density and magnetic field.…”
Section: Identification Of the Solar Wind Phenomena In-situmentioning
confidence: 99%