Academic literature on the topic 'Ionospheric variations'

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Journal articles on the topic "Ionospheric variations"

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Trigunait, A., M. Parrot, S. Pulinets, and F. Li. "Variations of the ionospheric electron density during the Bhuj seismic event." Annales Geophysicae 22, no. 12 (2004): 4123–31. http://dx.doi.org/10.5194/angeo-22-4123-2004.

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Abstract. Ionospheric perturbations by natural geophysical activity, such as volcanic eruptions and earthquakes, have been studied since the great Alaskan earthquake in 1964. Measurements made from the ground show a variation of the critical frequency of the ionosphere layers before and after the shock. In this paper, we present an experimental investigation of the electron density variations around the time of the Bhuj earthquake in Gujarat, India. Several experiments have been used to survey the ionosphere. Measurements of fluctuations in the integrated electron density or TEC (Total Electro
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Altadill, D. "On the 18-day quasi-periodic oscillation in the ionosphere." Annales Geophysicae 14, no. 7 (1996): 716–24. http://dx.doi.org/10.1007/s00585-996-0716-0.

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Abstract. The presence and persistence of an 18-day quasi-periodic oscillation in the ionospheric electron density variations were studied. The data of lower ionosphere (radio-wave absorption at equivalent frequency near 1 MHz), middle and upper ionosphere (critical frequencies f0E and f0F2) for the period 1970–1990 have been used in the analysis. Also, solar and geomagnetic activity data (the sunspot numbers Rz and solar radio flux F10.7 cm, and aN index respectively) were used to compare the time variations of the ionospheric with the solar and geomagnetic activity data. Periodogram, complex
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Danzer, J., S. B. Healy, and I. D. Culverwell. "A simulation study with a new residual ionospheric error model for GPS radio occultation climatologies." Atmospheric Measurement Techniques 8, no. 8 (2015): 3395–404. http://dx.doi.org/10.5194/amt-8-3395-2015.

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Abstract. In this study, a new model was explored which corrects for higher order ionospheric residuals in Global Positioning System (GPS) radio occultation (RO) data. Recently, the theoretical basis of this new "residual ionospheric error model" has been outlined (Healy and Culverwell, 2015). The method was tested in simulations with a one-dimensional model ionosphere. The proposed new model for computing the residual ionospheric error is the product of two factors, one of which expresses its variation from profile to profile and from time to time in terms of measurable quantities (the L1 and
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Danzer, J., S. B. Healy, and I. D. Culverwell. "A simulation study with a new residual ionospheric error model for GPS radio occultation climatologies." Atmospheric Measurement Techniques Discussions 8, no. 1 (2015): 1151–76. http://dx.doi.org/10.5194/amtd-8-1151-2015.

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Abstract. In this study, a new model was explored, which corrects for higher order ionospheric residuals in global positioning system (GPS) radio occultation (RO) data. Recently, the theoretical basis of this new "residual ionospheric error model" has been outlined (Healy and Culverwell, 2015). The method was tested in simulations with a one-dimensional model ionosphere. The proposed new model for computing the residual ionospheric error is the product of two factors, one of which expresses its variation from profile-to-profile and from time-to-time in terms of measurable quantities (the L1 an
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Håkansson, Martin. "Nadir-Dependent GNSS Code Biases and Their Effect on 2D and 3D Ionosphere Modeling." Remote Sensing 12, no. 6 (2020): 995. http://dx.doi.org/10.3390/rs12060995.

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Recent publications have shown that group delay variations are present in the code observables of the BeiDou system, as well as to a lesser degree in the code observables of the global positioning system (GPS). These variations could potentially affect precise point positioning, integer ambiguity resolution by the Hatch–Melbourne–Wübbena linear combination, and total electron content estimation for ionosphere modeling from global navigation satellite system (GNSS) observations. The latter is an important characteristic of the ionosphere and a prerequisite in some applications of precise positi
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Pushin, V. F., and L. F. Chernogor. "A SYNTHESIS OF TEMPORAL VARIATIONS IN DOPPLER SPECTRA RECORDED AT A QUASI-VERTICAL INCIDENCE BY THE HF DOPPLER RADAR WITH SPACED RECEIVERS." Radio physics and radio astronomy 26, no. 3 (2021): 211–23. http://dx.doi.org/10.15407/rpra26.03.211.

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Purpose: The ionospheric channel is widely used for the communication, radio navigation, radar, direction finding, radio astronomy, and remote radio probing systems. The radio channel parameters are characterized by nonstationarity due to the dynamic processes in the ionosphere, and therefore their study is one of the topical problems of space radio physics and earth-space radio physics of geospace. This work aims at presenting the results of synthesis of temporal variations in the Doppler spectra obtained by the Doppler probing of the ionosphere at vertical and quasi-vertical incidence. Desig
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J. E., Thomas,, George, N. J., Ekanem, A.M, and Akpan, A. E. "IONOSPHERIC PLASMA VARIATIONS AFORE THE EAST OF KURIL ISLANDS EARTHQUAKE OF 13th JANUARY, 2007." Geological Behavior 4, no. 1 (2020): 42–46. http://dx.doi.org/10.26480/gbr.01.2020.42.46.

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Plasma Analyzer (IAP) and Langmuir Probe (ISL) experiments of the DEMETER microsatellite were used to check the state of the ionosphere in the region of the M8.1 East of Kuril Islands earthquake of 13th January, 2007,30 days afore and 10 days after the event using statistical approach. The study strongly revealed that all three investigated ionospheric parameters of electron density, total ion density and electron temperature displayed unfamiliar ionospheric variations eight days before the earthquake in the daytime time half orbit measurement. To this, the electron density, total ion density
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Bi, Cheng, Peng Ren, Ting Yin, Zheng Xiang, and Yang Zhang. "Modeling and Forecasting Ionospheric foF2 Variation in the Low Latitude Region during Low and High Solar Activity Years." Remote Sensing 14, no. 21 (2022): 5418. http://dx.doi.org/10.3390/rs14215418.

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Prediction of ionospheric parameters, such as ionospheric F2 layer critical frequency (foF2) at low latitude regions is of significant interest in understanding ionospheric variation effects on high-frequency communication and global navigation satellite system. Currently, deep learning algorithms have made a striking accomplishment in capturing ionospheric variability. In this paper, we use the state-of-the-art hybrid neural network combined with a quantile mechanism to predict foF2 parameter variations under low and high solar activity years (solar cycle-24) and space weather events. The hyb
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Xi, Hui, Hu Jiang, Jiachun An, et al. "Spatial and Temporal Variations of Polar Ionospheric Total Electron Content over Nearly Thirteen Years." Sensors 20, no. 2 (2020): 540. http://dx.doi.org/10.3390/s20020540.

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It is of great significance for the global navigation satellite system (GNSS) service to detect the polar ionospheric total electron content (TEC) and its variations, particularly under disturbed ionosphere conditions, including different phases of solar activity, the polar day and night alternation, the Weddell Sea anomaly (WSA) as well as geomagnetic storms. In this paper, four different models are utilized to map the ionospheric TEC over the Arctic and Antarctic for about one solar cycle: the polynomial (POLY) model, the generalized trigonometric series function (GTSF) model, the spherical
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Vaishnav, Rajesh, Christoph Jacobi, Jens Berdermann, Erik Schmölter, and Mihail Codrescu. "Ionospheric response to solar EUV variations: Preliminary results." Advances in Radio Science 16 (September 4, 2018): 157–65. http://dx.doi.org/10.5194/ars-16-157-2018.

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Abstract. We investigate the ionospheric response to solar Extreme Ultraviolet (EUV) variations using different proxies, based on solar EUV spectra observed from the Solar Extreme Ultraviolet Experiment (SEE) onboard the Thermosphere Ionosphere Mesosphere Energetics and Dynamics (TIMED) satellite, the F10.7 index (solar irradiance at 10.7 cm), and the Bremen composite Mg-II index during January 2003 to December 2016. The daily mean solar proxies are compared with global mean Total Electron Content (GTEC) values calculated from global IGS TEC maps. The preliminary analysis shows a significant c
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Dissertations / Theses on the topic "Ionospheric variations"

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Thomas, Edwin Christopher. "Phase and amplitude variations in the wave fields of ionospherically reflected radio waves." Thesis, University of Leicester, 1986. http://hdl.handle.net/2381/35807.

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The wavefronts of high frequency (HF) radio waves received after reflection from the ionosphere exhibit both spatial non-linearities and temporal variations which limit the performance of large aperture receiving arrays. The objective of this investigation was to measure the phase and amplitude of ionospherically propagated signals in order to relate these parameters to the reflection process. This thesis describes the design and construction of a large aperture multi-element array and its implementation for wavefrot investigations. The hardware and software developed to control the equipment
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Choosakul, Nithiwatthn. "Study on the periodic ionospheric variations after large earthquakes using GPS data." 京都大学 (Kyoto University), 2009. http://hdl.handle.net/2433/126572.

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Kyoto University (京都大学)<br>0048<br>新制・課程博士<br>博士(理学)<br>甲第14895号<br>理博第3464号<br>新制||理||1507(附属図書館)<br>27333<br>UT51-2009-M809<br>京都大学大学院理学研究科地球惑星科学専攻<br>(主査)教授 町田 忍, 教授 家森 俊彦, 教授 里村 雄彦<br>学位規則第4条第1項該当
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Shim, JA Soon. "Analysis of Total Electron Content (TEC) Variations in the Low- and Middle-Latitude Ionosphere." DigitalCommons@USU, 2009. https://digitalcommons.usu.edu/etd/403.

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Detailed study of the spatial correlations of day-to-day ionospheric TEC variations on a global scale was performed for four 30-day-long periods in 2004 (January, March/April, June/July, September/October) using observations from more than 1000 ground-based GPS receivers. In order to obtain the spatial correlations, initially, the day-to-day variability was calculated by first mapping the observed slant TEC values for each 5-minute GPS ground receiver-satellite pair to the vertical and then differencing it with its corresponding value from the previous day. This resulted in more than 150 mill
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Jacobi, Christoph, Claudia Unglaub, Gerhard Schmidtke, Robert Schäfer, and Norbert Jakowski. "Delayed response of global ionospheric electron content to EUV variations derived from combined SolACES-SDO/EVE measurements." Universität Leipzig, 2015. https://ul.qucosa.de/id/qucosa%3A16645.

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The ionospheric response to solar EUV variability during 2011 - 2014 is shown by an EUV proxy based on primary ionization calculations using combined solar spectra from SDO/EVE and SolACES on board the ISS. The daily proxies are compared with global mean TEC analyses. At time scales of the solar rotation and longer, there is a time lag between EUV and TEC variability of about one to two days, indicating dynamical processes in the thermosphere/ionosphere systems. This lag is not seen at shorter time scales. When taking this delay into account the TEC variance at the seasonal and short-term time
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Nguyen, Thai Chinh [Verfasser], Harald [Akademischer Betreuer] Schuh, Mahdi [Akademischer Betreuer] Alizadeh, Harald [Gutachter] Schuh, Mahdi [Gutachter] Alizadeh, and Lung-Chih [Gutachter] Tsai. "Use of the East Asia GPS receiving network to observe ionospheric VTEC variations, scintillation and EIA features during the Solar Cycle 24 / Thai Chinh Nguyen ; Gutachter: Harald Schuh, Mahdi Alizadeh, Lung-Chih Tsai ; Harald Schuh, Mahdi Alizadeh." Berlin : Technische Universität Berlin, 2021. http://d-nb.info/1231908394/34.

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Raghuvanshi, Anurag. "Characterization of Airborne Antenna Group Delay as a Function of Arrival Angle and its Impact on Accuracy and Integrity of the Global Positioning System." Ohio University / OhioLINK, 2018. http://rave.ohiolink.edu/etdc/view?acc_num=ohiou1533314646617932.

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Palmer, Jonathan Richard. "Plasma density variations in the aurora." Thesis, University of Southampton, 1995. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.262167.

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Hui, Debrup. "Altitudinal Variability of Quiet-time Plasma Drifts in the Equatorial Ionosphere." DigitalCommons@USU, 2015. https://digitalcommons.usu.edu/etd/4536.

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The plasma drifts or electric fields and their structures in the ionosphere affect the accuracy of the present-day space-based systems. For the first time, we have used ionospheric plasma drift data from Jicamarca radar measurements to study the climatology of altitudinal variations of vertical and zonal plasma drifts in low latitudes during daytime. We used data from 1998 to 2014 to derive these climatological values in bimonthly bins from 150 km to 600 km. For the vertical plasma drifts, we observed the drifts increasing with altitudes in the morning and slowly changing to drifts decreasing
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Wyllie, Scott John, and scott wyllie@rmit edu au. "Modelling the Temporal Variation of the Ionosphere in a Network-RTK Environment." RMIT University. Mathematical and Geospatial Sciences, 2007. http://adt.lib.rmit.edu.au/adt/public/adt-VIT20080617.161323.

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The Global Positioning System (GPS) has been widely used for precise positioning applications throughout the world. However, there are still some limiting factors that affect the performance of satellite-based positioning techniques, including the ionosphere. The GPS Network-RTK (NRTK) concept has been developed in an attempt to remove the ionospheric bias from user observations within the network. This technique involves the establishment of a series of GNSS reference stations, spread over a wide geographical region. Real time data from each reference station is collected and transferred to a
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Liperovskaya, E. V., M. Parrot, V. V. Bogdanov, Claudia-Veronika Meister, M. V. Rodkin, and V. A. Liperovsky. "On long-term variations of foF2 in the mid-latitude ionosphere before strong earthquakes." Universität Potsdam, 2006. http://opus.kobv.de/ubp/volltexte/2007/1501/.

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The statistical analysis of the variations of the dayly-mean frequency of the maximum ionospheric electron density foF2 is performed in connection with the occurrence of (more than 60) earthquakes with magnitudes M > 6.0, depths h < 80 km and distances from the vertical sounding station R < 1000 km. For the study, data of the Tokyo sounding station are used, which were registered every hour in the years 1957-1990. It is shown that, on the average, foF2 decreases before the earthquakes. One day before the shock the decrease amounts to about 5 %. The statistical reliability of this phenomenon is
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Books on the topic "Ionospheric variations"

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Brodscholl, Arnold. Variationen des Erdmagnetfeldes an der GvN-Station, Antarktika: Deren Nutzung für ein elektromagnetisches Induktionsverfahren zur Erkennung zweidimensionaler Leitfähigkeitsanomalien sowie zur Darstellung von Einflüssen ionosphärischer Stromsysteme = Variations of the earthmagnetic field at GVN-Station, Antarctica : applied to the methods of the earthmagnetic deep sounding to detect two-dimensional anomalies of the conductivity and for the demonstration of the influencies [sic] of ionospheric current systems. Alfred-Wegener-Institut für Polar- und Meeresforschung, 1988.

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Brodscholl, Arnold. Variationen des Erdmagnetfeldes an der GvN-Station, Antarktika: Deren Nutzung für ein elektromagnetisches Induktionsverfahren zur Erkennung zweidimensionaler Leitfähigkeitsanomalien sowie zur Darstellung von Einflüssen ionosphärischer Stromsysteme = Variations of the earthmagnetic field at GVN-Station, Antarctica : applied to the methods of the earthmagnetic deep sounding to detect two-dimensional anomalies of the conductivity and for the demonstration of the influencies [sic] of ionospheric current systems. Alfred-Wegener-Institut für Polar- und Meeresforschung, 1988.

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University of Alabama in Huntsville. Center for Space Plasma and Aeronomic Research., University of Alabama in Huntsville. College of Science., and United States. National Aeronautics and Space Administration., eds. Effects of plasmaspheric ion heating due to ionospheric and magnetospheric sources: Final report, grant NAGW-1630, March 1989 - January 1996. National Aeronautics and Space Administration, 1996.

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Effects of plasmaspheric ion heating due to ionospheric and magnetospheric sources: Final report, grant NAGW-1630, March 1989 - January 1996. National Aeronautics and Space Administration, 1996.

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Coordinated studies of magnetospheric/ionospheric coupling and dynamics in the diffuse aurora: Final technical report, NASA grant no. NAG5-5002, 1 May 1993-31 December 1996. National Aeronautics and Space Administration, 1998.

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J. W. Wescott L. R. Brown Wright. Mean Electron Density Variations of the Quiet Ionosphere No. 9 - November 1959; NBS Technical Note 40-9. Creative Media Partners, LLC, 2021.

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J. W. Wescott L. R. Brown Wright. Mean Electron Density Variations of the Quiet Ionosphere No. 8 - October 1959; NBS Technical Note 40-8. Creative Media Partners, LLC, 2021.

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Book chapters on the topic "Ionospheric variations"

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Zolesi, Bruno, and Ljiljana R. Cander. "Ionospheric Spatial and Temporal Variations." In Ionospheric Prediction and Forecasting. Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-38430-1_4.

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Woods, Thomas N., Francis G. Eparvier, and James P. Mason. "Spectrally Resolved X-Ray and Extreme Ultraviolet Irradiance Variations During Solar Flares." In Ionospheric Space Weather. John Wiley & Sons, Inc., 2016. http://dx.doi.org/10.1002/9781118929216.ch19.

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Fuller-Rowell, T. J., D. Rees, S. Quegan, R. J. Moffett, and G. J. Bailey. "Simulations of the Seasonal and Universal Time Variations of the High-Latitude Thermosphere and Ionosphere Using a Coupled, Three-Dimensional, Model." In Ionospheric Modelling. Birkhäuser Basel, 1988. http://dx.doi.org/10.1007/978-3-0348-6532-6_2.

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Ivanov-Kholodny, G. S., and A. V. Mikhailov. "Calculation of the Regular Variations of the Mid-Latitude F2-Region." In The Prediction of Ionospheric Conditions. Springer Netherlands, 1986. http://dx.doi.org/10.1007/978-94-009-5486-1_4.

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Sibeck, D. G. "The Magnetospheric and Ionospheric Response to Solar Wind Dynamic Pressure Variations." In Geophysical Monograph Series. American Geophysical Union, 2013. http://dx.doi.org/10.1029/gm062p0001.

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D'ujanga, Florence M., Phillip Opio, and Francis Twinomugisha. "Variation of the Total Electron Content with Solar Activity During the Ascending Phase of Solar Cycle 24 Observed at Makerere University, Kampala." In Ionospheric Space Weather. John Wiley & Sons, Inc., 2016. http://dx.doi.org/10.1002/9781118929216.ch12.

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Patton, D. E., V. L. Peterson, G. H. Stonehocker, and J. W. Wright. "Characteristic Variations in the Antarctic Ionosphere." In Geomagnetism and Aeronomy: Studies in the Ionosphere, Geomagnetism and Atmospheric Radio Noise. American Geophysical Union, 2013. http://dx.doi.org/10.1029/ar004p0047.

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Liu, Dun, Yan Wang, Na Xu, Li Chen, and Huafeng Wang. "An Ionospheric Disturbance Index for SBAS Based on Gradient Variation." In Lecture Notes in Electrical Engineering. Springer Nature Singapore, 2022. http://dx.doi.org/10.1007/978-981-19-2580-1_2.

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Mulic, Medzida, and Randa Natras. "Ionosphere TEC Variations Over Bosnia and Herzegovina Using GNSS Data." In Lecture Notes in Geoinformation and Cartography. Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-56218-6_22.

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Häusler, Kathrin, and Hermann Lühr. "Longitudinal Variations of the Thermospheric Zonal Wind Induced by Nonmigrating Tides as Observed by CHAMP." In Aeronomy of the Earth's Atmosphere and Ionosphere. Springer Netherlands, 2011. http://dx.doi.org/10.1007/978-94-007-0326-1_25.

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Conference papers on the topic "Ionospheric variations"

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Timofeev, V. I., and N. A. Ovchinnikova. "ANALYSIS OF THE INFLUENCE OF FLUCTUATIONS OF ATMOSPHERIC PARAMETERS ON THE PROPAGATION OF SIGNALS FROM GLONASS / GPS SATELLITE RADIO NAVIGATION SYSTEMS." In Aerospace instrumentation and operational technologies. Saint Petersburg State University of Aerospace Instrumentation, 2021. http://dx.doi.org/10.31799/978-5-8088-1554-4-2021-2-244-247.

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The article presents a brief analysis of the influence of variations in the state of the atmosphere (troposphere and ionosphere) on the passage of signals from the GLONASS / GPS satellite radio navigation systems, as well as the conditions for the formation of tropospheric and ionospheric delays in the process of radio signal propagation through the Earth’s atmosphere from navigation satellites to the consumer’s ground equipment.
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Yasyukevich, Anna, and Yury Yasyukevich. "Ionospheric variations during typhoons of autumn 2016." In XXIII International Symposium, Atmospheric and Ocean Optics, Atmospheric Physics, edited by Oleg A. Romanovskii. SPIE, 2017. http://dx.doi.org/10.1117/12.2288759.

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Homam, M. J. "Variations of ionospheric scintillations due to solar activity." In 2014 International Symposium on Antennas & Propagation (ISAP). IEEE, 2014. http://dx.doi.org/10.1109/isanp.2014.7026716.

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Larkina, V. I., and Yu Ya Ruzhin. "Manifestation of "Coast Effect" in Ionospheric Plasma Parameter Variations." In 2007 7th International Symposium on Electromagnetic Compatibility and Electromagnetic Ecology. IEEE, 2007. http://dx.doi.org/10.1109/emceco.2007.4371712.

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Zakharenkova, Irina E., Irk I. Shagimuratov, Iurii V. Cherniak, Andrzej Krankowski, and Nadezhda Yu Tepenitsyna. "Ionospheric variations associated with November 28, 2004 Japanese earthquake." In 2011 XXXth URSI General Assembly and Scientific Symposium. IEEE, 2011. http://dx.doi.org/10.1109/ursigass.2011.6051043.

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Gubicza, Agnes, Richard Kiraly, Pal Bencze, and Antal Banfalvi. "Investigation of cosmic ray variations due to ionospheric irregularities." In 2011 2nd International Conference on Space Technology (ICST). IEEE, 2011. http://dx.doi.org/10.1109/icspt.2011.6064656.

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Dutta, Barsha, Rumajyoti Hazarika, Bitap Raj Kalita, et al. "Ionospheric variations during geomagnetic storms of 7–8 September, 2017." In 2022 URSI Regional Conference on Radio Science (USRI-RCRS). IEEE, 2022. http://dx.doi.org/10.23919/ursi-rcrs56822.2022.10118457.

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Khan, M. Taimur, and Munawar Shah. "Storm Time Ionospheric Variations from GNSS TEC and Swarm Satellites." In 2021 Seventh International Conference on Aerospace Science and Engineering (ICASE). IEEE, 2021. http://dx.doi.org/10.1109/icase54940.2021.9904154.

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Rhazali, Zeti Akma, and Ahmad Faizal Mohd Zain. "Parameterization of ionospheric height variations by antenna pattern synthesis technique." In 2014 XXXIth URSI General Assembly and Scientific Symposium (URSI GASS). IEEE, 2014. http://dx.doi.org/10.1109/ursigass.2014.6929790.

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Fayyaz, Muhammad, and Najam Abbas Naqvi. "The trends/ variations of Ionospheric parameters (hmF2, foF2) between observatory and International Reference Ionosphere web model values." In 2015 Fourth International Conference on Aerospace Science and Engineering (ICASE). IEEE, 2015. http://dx.doi.org/10.1109/icase.2015.7489521.

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Reports on the topic "Ionospheric variations"

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Jenan, R., T. L. Dammalage, and A. Kealy. The Influences of Solar Activities on TEC Variations of Equatorial Ionosphere over Sri Lanka. Balkan, Black sea and Caspian sea Regional Network for Space Weather Studies, 2020. http://dx.doi.org/10.31401/sungeo.2019.02.05.

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Jenan, R., T. L. Dammalage, and A. Kealy. The Influences of Solar Activities on TEC Variations of Equatorial Ionosphere over Sri Lanka. Balkan, Black sea and Caspian sea Regional Network for Space Weather Studies, 2020. http://dx.doi.org/10.31401/sungeo.2020.02.05.

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Bojilova, Rumiana, and Plamen Mukhtarov. Relationship Between Short-term Variations of Solar Activity and Critical Frequencies of the Ionosphere Represented by FoF2 and MUF3000. "Prof. Marin Drinov" Publishing House of Bulgarian Academy of Sciences, 2020. http://dx.doi.org/10.7546/crabs.2020.10.11.

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Shellman, C. H. Variability of the Electric Field Strength in the Earth-Ionosphere Waveguide Due to Variations in the Electron Density Profile. Defense Technical Information Center, 1992. http://dx.doi.org/10.21236/ada264808.

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McDonald, Sarah, and Joseph Huba. An Investigation of the Seasonal Variation of Equatorial Electrodynamics and Scintillation Using a Coupled Atmosphere-Ionosphere Model. Defense Technical Information Center, 2009. http://dx.doi.org/10.21236/ada531093.

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BARKHATOV, NIKOLAY, and SERGEY REVUNOV. A software-computational neural network tool for predicting the electromagnetic state of the polar magnetosphere, taking into account the process that simulates its slow loading by the kinetic energy of the solar wind. SIB-Expertise, 2021. http://dx.doi.org/10.12731/er0519.07122021.

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Abstract:
The auroral activity indices AU, AL, AE, introduced into geophysics at the beginning of the space era, although they have certain drawbacks, are still widely used to monitor geomagnetic activity at high latitudes. The AU index reflects the intensity of the eastern electric jet, while the AL index is determined by the intensity of the western electric jet. There are many regression relationships linking the indices of magnetic activity with a wide range of phenomena observed in the Earth's magnetosphere and atmosphere. These relationships determine the importance of monitoring and predicting ge
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