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Statistical insights on the decorrelation lengths of solar wind parameters at L1 point under varying conditions.

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Title: Statistical insights on the decorrelation lengths of solar wind parameters at L1 point under varying conditions.
Authors: Yogesh1 (AUTHOR) yphy22@gmail.com, Baruah, Aparupa Apsara2,3 (AUTHOR), Chakrabarty, Dibyendu4 (AUTHOR), Bhuyan, Kalyan2,3 (AUTHOR), Gupta, Aakash4,5 (AUTHOR), Howes, Gregory G.1 (AUTHOR)
Source: Advances in Space Research. Oct2026, Vol. 78 Issue 8, p8530-8541. 12p.
Subjects: Solar wind, Coherence (Physics), Coronal mass ejections, Flow velocity, Interplanetary magnetic fields
Abstract: Understanding the spatial coherence of solar wind plasma and magnetic field properties is essential for interpreting multi-spacecraft observations and for characterizing the large-scale structure of heliospheric transients. In this study, we quantify the spatial correlation of six key solar wind parameters—interplanetary magnetic field components, bulk flow speed, proton number density, and the alpha-to-proton abundance ratio—using simultaneous measurements from the ACE and Wind spacecraft as a function of their instantaneous separation distance. The analysis is performed separately for intervals of background solar wind, Interplanetary Coronal Mass Ejections (ICMEs), and Stream Interaction Regions (SIRs). The decay of the Pearson correlation coefficient with distance is modeled using an exponential function to infer characteristic de-correlation length scales. We find that the bulk solar wind speed is the most spatially coherent parameter in all regimes, while plasma composition exhibits the weakest coherence. Magnetic field coherence shows strong dependence on solar wind structure: ICMEs display near-unity correlations and the largest magnetic coherence scales, consistent with organized, flux-rope-like configurations, whereas SIRs exhibit reduced coherence—particularly in the north–south magnetic field component—reflecting compressed and turbulent plasma. The background solar wind exhibits intermediate behavior, with large-scale coherence in bulk plasma properties but shorter coherence lengths in magnetic fluctuations. These results provide a quantitative framework for distinguishing solar wind structures based on their spatial coherence properties and have important implications for multi-point solar wind studies and space weather applications. [ABSTRACT FROM AUTHOR]
Copyright of Advances in Space Research is the property of Pergamon Press - An Imprint of Elsevier Science and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
Database: Engineering Source
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Header DbId: egs
DbLabel: Engineering Source
An: 197195089
AccessLevel: 6
PubType: Academic Journal
PubTypeId: academicJournal
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Items – Name: Title
  Label: Title
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  Data: Statistical insights on the decorrelation lengths of solar wind parameters at L1 point under varying conditions.
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  Data: <searchLink fieldCode="AR" term="%22Yogesh%22">Yogesh</searchLink><relatesTo>1</relatesTo> (AUTHOR)<i> yphy22@gmail.com</i><br /><searchLink fieldCode="AR" term="%22Baruah%2C+Aparupa+Apsara%22">Baruah, Aparupa Apsara</searchLink><relatesTo>2,3</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Chakrabarty%2C+Dibyendu%22">Chakrabarty, Dibyendu</searchLink><relatesTo>4</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Bhuyan%2C+Kalyan%22">Bhuyan, Kalyan</searchLink><relatesTo>2,3</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Gupta%2C+Aakash%22">Gupta, Aakash</searchLink><relatesTo>4,5</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Howes%2C+Gregory+G%2E%22">Howes, Gregory G.</searchLink><relatesTo>1</relatesTo> (AUTHOR)
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  Data: <searchLink fieldCode="JN" term="%22Advances+in+Space+Research%22">Advances in Space Research</searchLink>. Oct2026, Vol. 78 Issue 8, p8530-8541. 12p.
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  Data: <searchLink fieldCode="DE" term="%22Solar+wind%22">Solar wind</searchLink><br /><searchLink fieldCode="DE" term="%22Coherence+%28Physics%29%22">Coherence (Physics)</searchLink><br /><searchLink fieldCode="DE" term="%22Coronal+mass+ejections%22">Coronal mass ejections</searchLink><br /><searchLink fieldCode="DE" term="%22Flow+velocity%22">Flow velocity</searchLink><br /><searchLink fieldCode="DE" term="%22Interplanetary+magnetic+fields%22">Interplanetary magnetic fields</searchLink>
– Name: Abstract
  Label: Abstract
  Group: Ab
  Data: Understanding the spatial coherence of solar wind plasma and magnetic field properties is essential for interpreting multi-spacecraft observations and for characterizing the large-scale structure of heliospheric transients. In this study, we quantify the spatial correlation of six key solar wind parameters—interplanetary magnetic field components, bulk flow speed, proton number density, and the alpha-to-proton abundance ratio—using simultaneous measurements from the ACE and Wind spacecraft as a function of their instantaneous separation distance. The analysis is performed separately for intervals of background solar wind, Interplanetary Coronal Mass Ejections (ICMEs), and Stream Interaction Regions (SIRs). The decay of the Pearson correlation coefficient with distance is modeled using an exponential function to infer characteristic de-correlation length scales. We find that the bulk solar wind speed is the most spatially coherent parameter in all regimes, while plasma composition exhibits the weakest coherence. Magnetic field coherence shows strong dependence on solar wind structure: ICMEs display near-unity correlations and the largest magnetic coherence scales, consistent with organized, flux-rope-like configurations, whereas SIRs exhibit reduced coherence—particularly in the north–south magnetic field component—reflecting compressed and turbulent plasma. The background solar wind exhibits intermediate behavior, with large-scale coherence in bulk plasma properties but shorter coherence lengths in magnetic fluctuations. These results provide a quantitative framework for distinguishing solar wind structures based on their spatial coherence properties and have important implications for multi-point solar wind studies and space weather applications. [ABSTRACT FROM AUTHOR]
– Name: AbstractSuppliedCopyright
  Label:
  Group: Ab
  Data: <i>Copyright of Advances in Space Research is the property of Pergamon Press - An Imprint of Elsevier Science and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
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        Value: 10.1016/j.asr.2026.08.007
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      – Code: eng
        Text: English
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        PageCount: 12
        StartPage: 8530
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      – SubjectFull: Solar wind
        Type: general
      – SubjectFull: Coherence (Physics)
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      – SubjectFull: Coronal mass ejections
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      – SubjectFull: Flow velocity
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      – SubjectFull: Interplanetary magnetic fields
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      – TitleFull: Statistical insights on the decorrelation lengths of solar wind parameters at L1 point under varying conditions.
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              Text: Oct2026
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