Study of interplanetary parameters, polar cap potential, and polar cap index during quiet event and high intensity long duration continuous AE activities (HILDCAAs)

Adhikari, Binod; Sapkota, Nirakar; Bhattarai, Binod; Mishra, Roshan Kumar; Bohara, Sudarshan; Chapagain, Narayan P.; Regmi, B.

doi:10.2205/2018es000609

Cited by 3 publications

(2 citation statements)

References 30 publications

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“…where φ represents the complex conjugate of φ and the parameters a and b are scaling and shifting factors respectively and W (a, b) gives the values of the coefficients (Adhikari et al 2017;Adhikari et al 2018).…”

Section: Wavelet Analysismentioning

confidence: 99%

Characteristic of Solar Wind Parameters and Geomagnetic Indices during Solar Flares

et al. 2018

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Active sun is characterized by compelling short-lived flash of solar eruption like solar flare, coronal mass ejections (CMEs), high-speed solar winds and solar energetic particles along with colossal release of energy and mass. This paper proposes a new method to evaluate solar wind parameters and geomagnetic indices based on wavelet analysis during the solar flares. The crucial role of IMF-Bz (interplanetary magnetic field) is examined for the two solar flares events. The key result obtained from our study is substantial dependence of solar flare intensity on IMF-Bz together with solar wind velocity. We also observed the duration of solar flares and their effect on ionospheric and ground based parameters.

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Section: Wavelet Analysismentioning

confidence: 99%

Characteristic of Solar Wind Parameters and Geomagnetic Indices during Solar Flares

et al. 2018

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“…They reported that the RQA indicate clearly the dynamics associated with quiet intervals and HILDCAA. Adhikari et al (2018) studied the interplanetary parameters, polar cap potential, and polar cap index during geomagnetical quiet periods and HILDCAA events. Little perturbations in interplanetary electric field were found at geomagnetic quiet event, while during HILDCAA, significant perturbation was noticed.…”

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confidence: 99%

Dynamical Complexity Transitions During High‐Intensity Long Duration Continuous Auroral Activities (HILDCAA) Events: Feature Analysis Based on Neural Network Entropy

Oludehinwa,

Velichko,

Ogunsua

et al. 2023

Space Weather

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In this study, we examine the dynamical complexity transitions during HILDCAA events. HILDCAA preceded by an Interplanetary Coronal Mass Ejection (ICME) storm recovery phase, HILDCAA preceded by a Corotating Interaction Region (CIR) storm recovery phase, and non‐storm driven HILDCAA and geomagnetically quiet periods were investigated using the Auroral Electrojet index time series. Neural Network Entropy (NNetEn) was used to capture the dynamical complexity transitions during these sporadic events. The NNetEn was able to decipher the distinct dynamical features associated with the emergence of HILDCAA and the geomagnetically quiet periods. Our analysis revealed a high value of NNetEn during HILDCAA signifying that the complexity levels of the coupled solar wind‐magnetosphere‐ionosphere system for HILDCAA, driven by different interplanetary structures were high with no significance difference. Thus, indicating that during HILDCAA, the dynamical behavior of the underlying physical processes due to the energy deposition driven either by ICME, CIR or non‐storm HILDCAA remain the same. However, a deciphering feature of dynamical complexity between the geomagnetically quiet period and HILDCAA events was evident. It was noticed that as the HILDCAA emerges, the NNetEn depicts an increment in entropy value signifying that the complexity levels of the coupled solar wind‐magnetosphere‐ionosphere system increases, and as the dynamics transcend to its recovery state, a reduction in entropy was observed implying a decline in complexity levels. Low values of NNetEn revealing lower complexity levels are found to be associated with geomagnetically quiet periods.

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Analysis of solar, interplanetary, and geomagnetic parameters during solar cycles 22, 23, and 24

Adhikari¹,

Dahal²,

Mishra³

et al. 2019

Russ. J. Earth Sci.

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We have analyzed the trend of solar, interplanetary, and geomagnetic (SIG) parameters during solar cycles 22, 23, and 24. The sunspot numbers (), solar flux index (10.7) and Lyman Alpha () indicate periodic trend during each solar cycle. In solar cycle 24 sunspot numbers (), 10.7 , and show periodic nature, but their peak is low. However, polar cap index (PCI) has maximum value in the latest solar cycle. We found a positive correlation between PCI and polar cap voltage (PCV). This means, during this period, there is a big difference between the maximum and minimum electronic convection potential in the ionosphere. In the solar cycle 24, Sun polar fields had low magnitude compared to cycle 22 and 23. This low solar polar field corresponds to the highest difference between electronic convection potentials. The same low solar polar field also corresponds to low values in , 10.7 , and. Through continuous wavelet transform (CWT), we found that solar flux, sunspot number, Lyman Alpha all have highest spectral variability from 0 to 100 months. Sunspot number, Lyman Alpha, 10.7 all have a continuous spectral energy of medium and low magnitude. We suggest that these unique condition of SIG parameters have originated from solar activity.

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Study of interplanetary parameters, polar cap potential, and polar cap index during quiet event and high intensity long duration continuous AE activities (HILDCAAs)

Cited by 3 publications

References 30 publications

Characteristic of Solar Wind Parameters and Geomagnetic Indices during Solar Flares

Characteristic of Solar Wind Parameters and Geomagnetic Indices during Solar Flares

Dynamical Complexity Transitions During High‐Intensity Long Duration Continuous Auroral Activities (HILDCAA) Events: Feature Analysis Based on Neural Network Entropy

Analysis of solar, interplanetary, and geomagnetic parameters during solar cycles 22, 23, and 24

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