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image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Solar Physicsarrow_drop_down
image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao
Solar Physics
Article . 2020 . Peer-reviewed
License: Springer TDM
Data sources: Crossref
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The Interconnection between the Periodicities of Solar Wind Parameters Based on the Interplanetary Magnetic Field Polarity (1967–2018): A Cross Wavelet Analysis

Authors: M. A. El-Borie; A. M. El-Taher; A. A. Thabet; A. A. Bishara;

The Interconnection between the Periodicities of Solar Wind Parameters Based on the Interplanetary Magnetic Field Polarity (1967–2018): A Cross Wavelet Analysis

Abstract

In this article, we have examined the possible interconnection and phase asynchrony between the periodicities of solar wind parameters (solar wind velocity $V$ , plasma density $N$ , and dynamic pressure $P$ ), and the interplanetary magnetic field (IMF) magnitude $B$ , taking into account the polarity state, toward ( $T$ ) and away ( $A$ ) from the Sun, of the IMF. For this purpose, the daily measurements of $V$ , $N$ , $P$ , and $B $ during the period 1967–2018, thus covering almost five solar cycles, were sorted into two groups according to the IMF sense. Days of mixed IMF polarity or having no data were eliminated from our analysis during the entire period. The monthly averages of $T$ and $A$ polarity groups have been calculated for each parameter. $B_{\mathrm{T}}$ ( $B_{\mathrm{A}}$ ), $V_{\mathrm{T}}$ ( $V_{\mathrm{A}}$ ), $N_{\mathrm{T}}$ ( $N_{\mathrm{A}}$ ), and $P_{\mathrm{T}}$ ( $P_{\mathrm{A}}$ ), refer to the monthly averages of $T$ ( $A$ ) polarity group for $B$ , $V$ , $N$ , and $P$ , respectively. In this study, three techniques were applied, including the running correlation analysis, cross-wavelet transform (XWT) and wavelet coherence (WTC) to the monthly means of each polarity group. Our results reveal that the running correlation coefficient for toward and away groups of each parameter reflect a positive correlation value during most of the entire period. The long-term periodicities within the 8–16 yr band are also detected for all toward and away components of the considered parameters with a significant common power during most of the entire period. Moreover, the WTC reflects an almost in-phase relationship behavior between the toward and away groups of each parameter during this range. On the other hand, within the 4–8 yr, 2–4 yr, and 1–2 yr bands, the toward and away groups of each solar wind parameter show mid-term periodicities at different periods, displaying sometimes significant powers.

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citations
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
9
Top 10%
Average
Top 10%