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16 results for “Ionospheric Scintillation”
First In-Situ Measurements of Travelling Ionospheric Disturbances at 420 km Altitude by the Scintillation Observations and Response of The Ionosphere to Electrodynamics (SORTIE) CubeSat
<p>Companion dataset to the paper entitled "First In-Situ Measurements of Travelling Ionospheric Disturbances at 420 km Altitude by the Scintillation Observations and Response of The Ionosphere to Electrodynamics (SORTIE) CubeSat". The dataset includes the SORTIE CubeSat IVM Level 2 ion density and GPS TEC data used in the study along with the WRF simulation results.</p>
Additional results for article "A new approach for the generation of real-time GNSS low-latitude ionospheric scintillation maps"
<p>Complete set of interpolation error and correlation metrics for the approaches GDA, IDW, RBF and GPR for all the 12 pre-processing options using the SSS cross-validation scheme for the 10-hour dataset (40 maps with 16-minute interval for each approach and each pre-processing options) - file “Complete table of interpolation errors and correlation.csv”.</p> <p>Complete set of scintillation maps for the approaches GDA, IDW, RBF and GPR for all the 12 pre-processing options covering the 10-hour dataset (40 maps with 16-minute interval for each approach and each pre-processing options) - file “Scintillation maps for the 10-hour dataset.zip”.</p> <p>Comparison plots of the scintillation maps generated by the approaches GDA, IDW, RBF and GPR with the pre-processing options SAR, SMR and VQI for each of the 40 intervals of time of 16 minutes covering the 10-hour dataset - file “Set of maps for all 4 approaches with the SAR, SMR and VQI sets of options.zip”.</p> <p>Sequence of scintillation maps for the 8-hour dataset generated by the GPR(VQI) approach for the three time resolutions (1, 2, and 16-minute) - file “Scintillation maps for the 8-hour comparison dataset.zip”.</p> <p>Animations corresponding to the sequence of maps generated by the GPR(VQI) approach for the 8-hour dataset, and for the three time resolutions (1, 2, and 16-minute) - file “Animations of GPR(VQI) maps for the 8-hour comparison dataset.zip”.</p>
ScintPi: A low-cost, easy-to-build GPS ionospheric scintillation monitor for DASI studies of space weather, education, and citizen science initiatives
<p>These data sets contain ionospheric scintillation (GPS L1) observations (S4 indices) collected by a ScintPi prototype during 2018 at a low magnetic latitude station (Presidente Prudente). ScintPi is a low-cost, easy-to-build GPS ionospheric scintillation monitor for DASI studies of space weather, education, and citizen science initiatives.</p> <p>The file named "ScintPi_PPR_S4_2018.mat" contains S4 values (s4mat) for 2018 as a function of universal time (utmat), day-of-year (doymat), GPS satellite identifier number (prnmat), GPS satellite elevation (elmat) and azimuth (azmat) angles.</p> <p>The file named "ScintPi_PPR_20180211.mat" contains example raw (10 Hz) measurements made by ScintPi on February 11, 2018. The file contains values of receiver's altitude, latitude and longitude (variables alt,lat, and lon), GPS satellite azimuth and elevation (variables el and az), GPS identifier number (prn), signal-to-noise ratio (snr), and day-of-year (doy).</p>
Signal frequency dependence of ionospheric scintillations: An indicator of irregularity spectrum characteristics
<p>The files contain the following data for 11 days in March 2015:</p> <p>1) L-band S4 for the L1 signal from geostationary satellite GSAT-10 recorded at two stations: MUM and TRV.</p> <p> The data columns represent: Indian Standard Time (IST), signal path ELEVATION and AZIMUTH, S4 , S4_corrected , IPP_LATITUDE and IPP_LONGITUDE. The file name contains the day information.</p> <p>2) VHF S4 for the 251 MHz signal from geostationary satellite UFO10 recorded at two stations: MUM and TIR.</p> <p>The data columns represent: Year Month Day IST S4.</p>
Data sets for distributed ionospheric L-band scintillation and TEC observations made in the American sector during the March 23-24, 2023 geomagnetic storm
<p>These data sets contain the scintillation measurements presented in the manuscript titled, "On the extraordinary L-band scintillation event observed in the American sector during the March 23-24, 2023 geomagnetic storm".</p> <p><br>The HDF5 files are organized by constellations and satellites. Each satellite includes the following parameters: Azimuth (AZIM), Elevation (ELEV), Number of Samples (NOS), Amplitude Scintillation Index (S4), 1-minute average SNR (SNR), relative Total Electron Content (PTEC), and Time of Week in seconds (S_TW)</p>
ScintPi 2.0 and 3.0: low-cost GNSS-based monitors of ionospheric scintillation and total electron content
<p> </p> <p>This data set provides measurements made by PolaR5x and ScintPi3.0 receivers in Presidente Prudente, Brazil for two consecutive days.</p>
GNSS amplitude scintillation index (S4) and ionospheric pierce point (IPP) from Zhuhai on 11 May 2024
<p>The ionospheric pierce point (IPP) location is named as "IPP_lla_CXX", sampled by 1-sec (86400 a day), where the columns are latitude, longitude, and altitude, respectively.</p> <p>The amplitude scintillation index (S4) is named as "S4_CXX_SYSU_132", sampled by 1-minute cadence (1440 a day).</p> <p>The data are provided in MATLAB format.</p>
Data sets for "On the detection of a solar radio burst event that occurred on 28 August 2022 and its effect on GNSS signals as observed by ionospheric scintillation monitors distributed over the American sector" by Wright et al.
<p>Copy of data described in 'On the detection of a solar radio burst event that occurred on 28 August 2022 and its effect on GNSS signals as observed by ionospheric scintillation monitors distributed over the American sector' by Wright et. al and to appear in the Journal of Space Weather and Space Climate (JSWSC), 2023.</p><p> </p>
Scintillation event list database produced for "Multiyear Detection, Classification and Hypothesis of Ionospheric Layer Causing GNSS Scintillation"
<table> <tbody> <tr> <td>Database produced for and associated with journal article https://doi.org/10.1029/2021RS007328</td> </tr> <tr> <td>This database contains scintillation events identified by the "Detect, Classify, Hypothesize" method as described in the journal article. </td> </tr> <tr> <td>Created by Datta-Barua, Seebany.</td> </tr> <tr> <td>Open Access License Creative Commons Attribution 4.0 International</td> </tr> <tr> <td> </td> <td> </td> <td> </td> <td> </td> <td> </td> <td> </td> <td> </td> <td> </td> </tr> <tr> <td>Sheets labeled "S*_yyyy_freq" contain a list of scintillation events based on data from the SAGA array.</td> <td> </td> <td> </td> <td> </td> </tr> <tr> <td> </td> <td>For S* the abbreviations are:</td> <td>"SP": sigma phi index, i.e., phase scintillation events</td> <td> </td> <td> </td> <td> </td> <td> </td> </tr> <tr> <td> </td> <td> </td> <td>"S4": S4 index, i.e., amplitude scintillation events</td> <td> </td> <td> </td> <td> </td> <td> </td> </tr> <tr> <td> </td> <td> </td> <td>"SPS4": sigma phi and S4, i.e., both-phase-and-amplitude events</td> <td> </td> <td> </td> <td> </td> </tr> <tr> <td> </td> <td>yyyy indicates the four-digit year, from 2014 through 2019</td> <td> </td> <td> </td> <td> </td> <td> </td> <td> </td> </tr> <tr> <td> </td> <td>freq:</td> <td>"L1CA": refers to GPS L1 frequency 1575 MHz</td> <td> </td> <td> </td> <td> </td> <td> </td> </tr> <tr> <td> </td> <td> </td> <td>"L2CL": refers to GPS L2C frequency 1227 MHz</td> <td> </td> <td> </td> <td> </td> <td> </td> </tr> <tr> <td> </td> <td> </td> <td> </td> <td> </td> <td> </td> <td> </td> <td> </td> <td> </td> </tr> <tr> <td>In each sheet "S*_yyyy_freq" the columns are:</td> <td> </td> <td> </td> <td> </td> <td> </td> <td> </td> </tr> <tr> <td> </td> <td>Column A:</td> <td>Year (2014-2019)</td> <td> </td> <td> </td> <td> </td> <td> </td> <td> </td> </tr> <tr> <td> </td> <td>Column B:</td> <td>day of year (1-366)</td> <td> </td> <td> </td> <td> </td> <td> </td> <td> </td> </tr> <tr> <td> </td> <td>Column C:</td> <td>frequency (1 for L1, 2 for L2C)</td> <td> </td> <td> </td> <td> </td> <td> </td> <td> </td> </tr> <tr> <td> </td> <td>Column D:</td> <td>GPS satellite PRN (1-32)</td> <td> </td> <td> </td> <td> </td> <td> </td> <td> </td> </tr> <tr> <td> </td> <td>Column E:</td> <td>Scintillation start UT hour (0-23)</td> <td> </td> <td> </td> <td> </td> <td> </td> </tr> <tr> <td> </td> <td>Column F:</td> <td>Scintillation start UT minute (0-59)</td> <td> </td> <td> </td> <td> </td> <td> </td> </tr> <tr> <td> </td> <td>Column G:</td> <td>Scintillation end UT hour (0-23)</td> <td> </td> <td> </td> <td> </td> <td> </td> </tr> <tr> <td> </td> <td>Column H:</td> <td>Scintillation end UT minute (0-59)</td> <td> </td> <td> </td> <td> </td> <td> </td> </tr> <tr> <td> </td> <td>Column I:</td> <td>number of receivers operational (4-6)</td> <td> </td> <td> </td> <td> </td> <td> </td> </tr> <tr> <td> </td> <td>Column J:</td> <td>PFISR-based hypothesized layer (1-7, as described below)</td> <td> </td> <td> </td> <td> </td> </tr> <tr> <td> </td> <td> </td> <td>1:</td> <td>E layer (majority peak height < 150 km)</td> <td> </td> <td> </td> </tr> <tr> <td> </td> <td> </td> <td>2:</td> <td>F layer (majority peak height > 195 km)</td> <td> </td> <td> </td> </tr> <tr> <td> </td> <td> </td> <td>3:</td> <td>T layer (150 < majority peak height < 195 km)</td> <td> </td> <td> </td> </tr> <tr> <td> </td> <td> </td> <td>4:</td> <td>I layer (no majority layer)</td> <td> </td> <td> </td> <td> </td> </tr> <tr> <td> </td> <td> </td> <td>5:</td> <td>"N"- no Poker Flat Incoherent Scatter Radar (PFISR) long pulse data and no alternating code data</td> </tr> <tr> <td> </td> <td> </td> <td>6:</td> <td>"NLP" - no PFISR long pulse</td> <td> </td> <td> </td> <td> </td> </tr> <tr> <td> </td> <td> </td> <td>7:</td> <td>"NAC" - no PFISR alternating code</td> <td> </td> <td> </td> <td> </td> </tr> <tr> <td>A blank sheet indicates that there were no events of that type and at that frequency found in that year.</td> <td> </td> <td> </td> <td> </td> </tr> </tbody> </table>
Ionospheric Scintillation Data over Indonesia
<p>These scintillation data are obtained from Kototabang (100.3E, 0.2S), Pontianak (109.3E, 0.02S), and Manado (124.9E,1.5N) stations in Indonesia. These datasets were used to create a scientific manuscript titled "Longitudinal range of the eastward-traveling equatorial plasma bubble inducing scintillation" by P. Abadi et al., which is published in the Space Weather Journal (https://doi.org/10.1029/2024SW003908).</p> <p> </p> <p>In addition to this dataset citation, please cite the following reference when you use this dataset:</p> <p>Abadi, P., Otsuka, Y., Saito, S., Yamamoto, M., Perwitasari, S., Muafiry, I. N., et al. (2024). Longitudinal range of the eastward‐traveling equatorial plasma bubble inducing ionospheric scintillation. Space Weather, 22, e2024SW003908. https://doi.org/10.1029/2024SW003908</p> <p> </p>
The initial assessment of ionospheric radio occultation data of MSS-1 satellite and its applications in scintillation exploration
<p>This dataset contains the GNSS data in the first three months of MSS-1 operation.</p> <p>The <em>.pdf files are level-2 radio occultation electron density files; </em>.csv are level-2 scintillation files.</p>
GPS data for 'Low-Latitude Ionospheric Density Irregularities and Associated Scintillations Investigated by Combining COSMIC RO and Ground-Based GPS Observations over a Solar Active Period' by Zhe Yang and Zhizhao Liu
<p>This dataset contains the final derived GPS data reported in the paper 'Low-Latitude Ionospheric Density Irregularities and Associated Scintillations Investigated by Combining COSMIC RO and Ground-Based GPS Observations over a Solar Active Period' by Zhe Yang and Zhizhao Liu.</p>
Measurements for "Evaluation of Ionospheric Scintillation in GNSS Radio Occultation Measurements and Simulations"
<p>This dataset contains measurements addressed in the manuscript "Evaluation of Ionospheric Scintillation in GNSS Radio Occultation Measurements and Simulations".</p> <p>These files and further measurements from different radio occultation missions are available in: https://cdaac-www.cosmic.ucar.edu (registration required)</p>
GNSS signals acquired by a Software Defined Radio (SDR) system subject to ionospheric scintillations
<p>Global Navigation Satellite System (GNSS) signals crossing small-scale electron density irregularities in the ionosphere may be subject to rapid fluctuations of their amplitude and phase known as ionospheric scintillations. Ionospheric scintillations may cause cycle slips and loss of lock of the GNSS signals, thus hindering the accuracy and integrity of precise positioning applications. GNSS scintillation can be studied and monitored by processing the GNSS signals through dedicated ground-based monitoring equipment such as the Ionospheric Scintillation Monitoring Receiver (ISMR). Moreover, Software Defined Radio (SDR) equipment has been demonstrated as a powerful tool to support the analysis of GNSS signals subject to this kind of phenomena. </p> <p>This dataset contains 3 hours of GNSS signal acquired by an SDR system located in Lampedusa, Italy (lat:35.52, lon: 12.63). The dataset was acquired on the 23th March 2023, from 20 to 22 UTC. Within this timespan, a co-located ISMR receiver detected ionospheric scintillations on a few of the GNSS satellites in view. </p> <p>Besides the binary data from the SDR system, a json file containing the Scintillation Indices at 1 min resolution acquired by the ISMR receiver is also provided.</p>
The ionospheric scintillation indexes observed by Ultra High Frequency (UHF) band scintillation receiver on 15, 16, and 17 August 2015
<p>The dataset reports the ionospheric scintillation indexes observed by Ultra High Frequency (UHF) band scintillation receiver on 15, 16, and 17 August 2015. Every day's data is saved in a TXT file, whose time resolution is one minute.</p>
Data sets for "On the quiet-time occurrence rates, severity and origin of L-band ionospheric scintillations observed from low-to-mid latitude sites located in Puerto Rico" by Gomez Socola et al.
<p>These data sets contain the night-time scintillation index (S4) of the geomagnetically quiet days. </p>
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