2015
DOI: 10.1002/2015ja021274
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Dynamics of large‐scale solar wind streams obtained by the double superposed epoch analysis

Abstract: Using the OMNI data for period 1976-2000 we investigate the temporal profiles of 20 plasma and field parameters in the disturbed large-scale types of solar wind (SW): CIR, ICME (both MC and Ejecta) and Sheath as well as the interplanetary shock (IS). To take into account the different durations of SW types we use the double superposed epoch analysis (DSEA) method: re-scaling the duration of the interval for all types in such a manner that, respectively, beginning and end for all intervals of selected type coin… Show more

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Cited by 44 publications
(33 citation statements)
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References 57 publications
(100 reference statements)
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“…The average value of the Mach number of the forward shocks (M ms (F) = 1.67) was less than the average value of the Mach number of the reverse shocks (M ms (R) = 1.76). Statistically, the properties of shocks (the ratio of downstream magnetic field intensity to upstream magnetic field intensity (B d ∕B u ), magnetosonic Mach number (M ms ), ratio of the plasma pressure to the magnetic pressure ( ), and the angle ( Bn ) between the IMF and the shock normal) were not a primordial agent in increasing the intensity of the GS but increases the probability of magnetospheric activity as mentioned in Yermolaev et al [2015]. We found a low correlation between the intensity of the GSs and the characteristics of the shocks.…”
Section: Resultsmentioning
confidence: 97%
“…The average value of the Mach number of the forward shocks (M ms (F) = 1.67) was less than the average value of the Mach number of the reverse shocks (M ms (R) = 1.76). Statistically, the properties of shocks (the ratio of downstream magnetic field intensity to upstream magnetic field intensity (B d ∕B u ), magnetosonic Mach number (M ms ), ratio of the plasma pressure to the magnetic pressure ( ), and the angle ( Bn ) between the IMF and the shock normal) were not a primordial agent in increasing the intensity of the GS but increases the probability of magnetospheric activity as mentioned in Yermolaev et al [2015]. We found a low correlation between the intensity of the GSs and the characteristics of the shocks.…”
Section: Resultsmentioning
confidence: 97%
“…In present paper we use the same data and methods as in our previous works (Yermolaev et al, 2015; (1) the one hour (1-h) interplanetary plasma and magnetic field data of the OMNI database (http://omniweb.gsfc.nasa.gov (King and Papitashvili, 2004)), (2) our catalog of largescale solar-wind phenomena during 1976-2000 (ftp://ftp.iki.rssi.ru/pub/omni/ (Yermolaev et al, 2009)) and (3) the double superposed epoch analysis method (Yermolaev et al, 2010). This method involves re-scaling (proportional increasing/decreasing time between points) the duration of the interval for all SW types in such a manner that, respectively, beginnings and ends of all intervals of a selected type coincide.…”
Section: Methodsmentioning
confidence: 99%
“…Numerical criteria and procedure of identification are described in details by Yermolaev et al (2009), the catalog of the identified solar wind phenomena for 1976-2016 is presented at the web-site of Space Research Institute, Moscow (IKI solar wind database) 8 . By analysis of the data of the OMNI dataset 9 for the period 1976-2000 and using the method of the double superposed epoch analysis for large numbers of events (Yermolaev et al, 2010), we classified and parameterized temporal sequences of phenomena in assumption of absence of interaction with other streams (Yermolaev et al, 2015). As a result, the averaged temporal profiles for the main parameters of solar wind and IMF have been obtained.…”
Section: Identification Of the Solar Wind Phenomena In-situmentioning
confidence: 99%