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20 results for “equatorial plasma bubble”
Numerical simulation of the equatorial plasma bubble: the effect of seeding by the vertical winds and random background noise perturbations.
<p>A wide variety of small-amplitude waves widely exist in the ionosphere and have significant effects on the evolution of equatorial plasma bubbles. In this paper, we simulated equatorial plasma bubbles (EPB) seeded by vertical neutral wind perturbations with wavelengths of 125 km and 250 km, and compared the morphology characteristics of plasma bubble structures with those under random noise perturbations in the background density. The numerical results showed that both vertical winds and random background noise perturbations can contribute to the growth of plasma bubbles, and the perturbations under additional random background noise can promote the growth of the plasma bubble structures faster. Additionally, several processes of the nonlinear behavior of bifurcated EPB structures, including bifurcation, pinching, and small-scale turbulent structures, were successfully obtained. Our simulation captured supersonic flows within the low-density plasma structures characterized by vertical velocities of about 1.5 km/s, which is consistent with experimental studies found in the literature.</p>
Simulation data used for publication "Seeding of equatorial plasma bubbles by vertical neutral wind" by Yokoyama et al.
<p>The dataset includes two-dimensional simulation output used in the paper.</p> <p>"altitude.dat" and "zonal.dat" contains grid information.</p> <p>"read_n_phi_2D.pro" is an IDL file to read the dataset, with detailed description of each data.</p> <p>The original three-dimensional simulation output is too large to publish at the repository. Author (TY) is willing to share the original data.</p>
On the Role of Physical Processes in Controlling Equatorial Plasma Bubble Morphology
<p>Dataset for the paper entitled "On the Role of Physical Processes in Controlling Equatorial Plasma Bubble Morphology" submitted to the Journal of Geophysical Research: Space Physics.</p>
Data for "A possible explanation of interhemispheric asymmetry of Equatorial Plasma Bubbles in airglow images"
<p>This is the data used in the paper "A possible explanation of interhemispheric asymmetry of Equatorial Plasma Bubbles in airglow images" by Hickey et al. (2020). Ionograms from Hyderabad and Tirunelveli are provided as PDFs. 7 MHz reflection heights from both ionosondes are provide in tab delimeted text file. A raw all-sky image is provided as a .tif file. Unwrapped all-sky images are provided as .tif files at 250, 275, and 300 km emission altitudes. The raw and unwrapped data for these images are provide in .dat files.</p>
Why do equatorial plasma bubbles bifurcate?
<p>For whom it may concern:<br> The files are the numerical results obtained by Carrasco et al. 2020.<br> Any use of the files must be cited the original authors. <br> Commercial use prohibited.</p>
WACCM-X simulated data for Wu et al. (2023) "Investigation of the physical mechanisms of the formation and evolution of equatorial plasma bubbles during a moderate storm on September 17, 2021"
<p>This dataset contains all the data related to WACCM-X simulated result figures in article "Investigation of the physical mechanisms of the formation and evolution of equatorial plasma bubbles during a moderate storm on September 17, 2021". The data includes simulated hmF2 data over the equatorial region for September 17th, 2021, during 18-23UT, from WACCM-X simulations; RTI data at 250-400km altitude for September 16th and 17th, 2021, obtained from WACCM-X simulated results during 18-23UT; Individual integrated components data of the RTI calculation at 350km altitude for September 16th and 17th, 2021, during 18-23UT, derived from WACCM-X simulations; Total zonal electric fields, PPEF zonal electric fields, Total vertical plasma drifts, and PPEF vertical plasma drifts data for September 16th to 17th, 2021 at 0 longitude between 40°S and 40°N latitude, spanning 0-24UT, from WACCM-X simulations.</p>
Datasets for "Effects of equatorial plasma bubbles on multi-GNSS signals: A case study over South China"
<p>Post-processed airglow data for Figure 1 and source data for other Figures.</p>
ScintiPi3 data sets for "First observations of severe scintillation over low-to-mid latitudes driven by quiet-time extreme equatorial plasma bubbles: conjugate measurements enabled by citizen science initiatives"
<p>ScintPi 3.0 data sets for "First observations of severe scintillation over low-to-mid latitudes driven by quiet-time extreme equatorial plasma bubbles: conjugate measurements enabled by citizen science initiatives" by Sousasantos et al. (2024).</p>
Occurrence of equatorial plasma bubbles (EPBs) over the Indian region on 15 January 2022 and their plausible connection to the Tonga volcano eruption
<p><span>This study focuses on the causes for the generation of equatorial plasma bubbles (EPBs) over the Indian subcontinent and their correlation with atmospheric-ionospheric disturbances resulting from the eruption of the Tonga volcano on 15 January 2022. Concurrent ionosonde observations obtained from Tirunelveli (8.67<sup>o</sup>N, 77.81<sup>o</sup>E) and Prayagraj (25.41<sup>o</sup>N, 81.93<sup>o</sup>E) show the presence of spread-F traces in ionograms. Notably, the EPBs are also accompanied by plasma blobs (PBs), with their pronounced occurrence during midnight at Prayagraj and Tirunelveli. Analysis of in situ electron density observations obtained from the Swarm B and C satellites reveals substantial plasma density depletions associated with EPBs. An intriguing observation is the intensification of Pre-Reversal Enhancement (PRE) immediately preceding the onset of spread-F at Tirunelveli due to enhanced eastward F region zonal winds by Tonga Volcano, as seen in the satellite observations. Furthermore, the isofrequency analysis from Tirunelveli shows the presence of gravity wave-like oscillations in the equatorial F-region over India. The investigation of Total Electron Content (TEC) obtained from a Pseudo Random Number (PRN)-14 over Indian longitudes suggests the presence of two dominant modes of Traveling Ionospheric Disturbances (TIDs) with speeds ~452 m/s and ~406 m/s having periods in the range of ~65–75 minutes. These observations reaffirm that volcano triggered atmospheric/ionospheric disturbances can propagate long</span><span> distances for several hours</span><span> and can provide necessary seeding conditions for the generation of EPBs.</span></p>
SCINDA GPS and UHF data supporting analysis in "On the assessment of daily Equatorial Plasma Bubble occurrence modeling and forecasting"
<p>This dataset consists of ionospheric scintillation data collected from August 1, 2013 until July 25, 2014 by a collection of GPS and UHF receiver stations in the Scintillation Network Decision Aid (SCINDA) network (Groves et al., 1997). This particular dataset supports the analysis conducted in Carter et al. (2020).</p> <p><br> Carter, B.A., J.L. Currie, T. Dao, E. Yizengaw, J.M. Retterer, M. Terkildsen, K. Groves and R. Caton (2020), On the assessment of daily Equatorial Plasma Bubble occurrence modeling and forecasting, Submitted to Space Weather, Jun 2020.</p> <p>Groves, K.M., S. Basu, E. J. Weber, M. Smitham, H. Kuenzler, C.E. Valladares, R. Sheehan, E. MacKenzie, J.A. Secan, P. Ning, W.J. McNeill, D.W. Moonan, and M.J. Kendra (1997), Equatorial scintillation and systems support, Radio Science, 32, 2047-2064, doi:10.1029/97RS00836.</p>
Simulation Study of the Tonga Event: Development of Equatorial Plasma Bubbles
<p>Data used for the figures in the paper</p> <p>Simulation Study of the Tonga Event:<br> Development of Equatorial Plasma Bubbles</p>
Prediction of equatorial plasma bubble formation using ionosonde observations from India
<p>The given dataset has been used for the analysis in the aricle "Prediction of equatorial plasma bubble formation using ionosonde observations from India". It contains day-to-day observations/predictions of events from Gadanki, Trivandrum, and Sriharikota. It aslo contains ionosonde data (Time vs h'F) from Gadanki on 13-03-2015, 14-03-2015, 18-03-2015, 19-03-2015, 20-03-2015 and 21-03-2015 used in the study. All data are given in the .txt format.</p>
Modeling the Day-to-Day Variability of Midnight Equatorial Plasma Bubbles with SAMI3/WACCM-X
<p>SAMI3/WACCM-X output files</p>
Modeling the Development of an Equatorial Plasma Bubble during a Midnight Temperature Maximum with SAMI3/WACCM-X
<p>dataset for figures in the paper</p> <p> Modeling the Development of an Equatorial Plasma Bubble during a Midnight Temperature Maximum with SAMI3/WACCM-X</p>
SAMI3/WACCM-X Modeling of the Development of an Equatorial Plasma Bubble during a Midnight Temperature Maximum
<p>Data set for figures in the paper ' Modeling the Development of an Equatorial Plasma Bubble during a Midnight Temperature Maximum with SAMI3/WACCM-X'</p>
Simulation data used for publication "Dilatory and downward development of 3-meter scale irregularities in the Funnel-like region of Equatorial Plasma Bubble" by Tulasi Ram et al.
<p>The dataset includes two-dimensional simulation output used in the paper.</p> <p>"altitude_eq.dat" and "zonal.dat" contains grid information.</p> <p>"read_n_2D_0.5mV.pro" and "read_n_2D_2mV.pro" are IDL files to read the dataset, with detailed description of each data.</p> <p>The original three-dimensional simulation output is too large to publish at the repository. Author (TY) is willing to share the original data.</p>
Modeling Equatorial Plasma Bubbles with SAMI3/WACCM-X: September 2017 Storm
Open the record for dataset details and reuse information.
Datasets for '3D Reconstruction of Equatorial Plasma Bubbles Using EOF and GNSS Radio Occultation Data From MSS-1 and COSMIC-2'
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Figures and data of paper: Study of ionospheric equatorial plasma bubbles based on GOLD observations.
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Severe L-band scintillation over low-to-mid latitudes caused by an extreme equatorial plasma bubble: joint observations from ground-based monitors and GOLD
<p>Data from ScintPis 3.0 that was used in the manuscript.</p>
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