Journal ArticleDOI
Response of data-driven artificial neural network-based TEC models to neutral wind for different locations, seasons, and solar activity levels from the Indian longitude sector
TLDR
In this article, a set of observations carried out in the Indian longitude sector have been reported in order to find the amount of improvement in performance accuracy of an ANN-based Vertical Total Electron Content (VTEC) model after incorporation of neutral wind as model input.Abstract:
The perturbations imposed on transionospheric signals by the ionosphere are a major concern for navigation. The dynamic nature of the ionosphere in the low latitude equatorial region and the Indian longitude sector has some specific characteristics such as sharp temporal and latitudinal variation of Total Electron Content (TEC). TEC in the Indian longitude sector also undergoes seasonal variations. The large magnitude and sharp variation of TEC causes large and variable range errors for satellite based navigation system such as Global Positioning System (GPS) throughout the day. For accurate navigation using Satellite Based Augmentation Systems (SBAS), proper prediction of TEC under certain geophysical conditions is necessary in the equatorial region. It has been reported in the literature that prediction accuracy of TEC has been improved using measured data driven Artificial Neural Network (ANN) based VTEC models, compared to standard ionospheric models. A set of observations carried out in the Indian longitude sector have been reported in this paper in order to find the amount of improvement in performance accuracy of an ANN-based Vertical TEC (VTEC) model after incorporation of neutral wind as model input. The variations of this improvement in prediction accuracy with respect to latitude, longitude, season and solar activity have also been reported in this paper.read more
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Peer Review
Aeronomy Perspectives on Integrated , Coordinated , Open , Networked ( ICON )
TL;DR: In this article , a commentary about the state of Integrated, Coordinated, Open, and Networked (ICON) principles in Space Physics and Aeronomy and a discussion on several scopes and limitations to implementing them are discussed.
References
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Journal ArticleDOI
The ionospheric E-layer and F-layer dynamos — a tutorial review
TL;DR: In this paper, the physics of electric currents generated by dynamo action in the ionosphere are discussed, including the motions of ions and electrons relative to the neutral air, at different heights in ionosphere, the voltage generator and current generator aspects of the ionospheric dynamos, electrical coupling along field lines, and the effects of field-aligned currents.
Journal ArticleDOI
Annual variations in the electron content and height of the F layer in the northern and southern hemispheres, related to neutral composition
J.E. Titheridge,M.J. Buonsanto +1 more
TL;DR: In this article, the MSIS model predicts a semiannual variation of about ± 25% in TEC at all sites, while observed changes are only about ±8; thus we require some enhanced loss process near the equinoxes, particularly in September and October.
Journal ArticleDOI
Low-latitude plasma drifts from a simulation of the global atmospheric dynamo
TL;DR: In this paper, the results of a simulation of the global atmospheric dynamo are presented and compared to observations of the ion drift at Jicamarca and the drifts calculated from previous dynamo models.
Journal ArticleDOI
Features of the middle- and low-latitude ionosphere during solar minimum as revealed from COSMIC radio occultation measurements
TL;DR: In this paper, the ionospheric electron density profiles retrieved from radio occultation measurements of the Constellation Observing System for Meteorology, Ionosphere and Climate (COSMIC) mission are analyzed to determine the F-2 layer maximum electron density (NmF2), peak height (h(m)F(2)), and Chapman scale height (H-m).
Journal ArticleDOI
Annual and semiannual variations of the midlatitude ionosphere under low solar activity
TL;DR: In this article, the authors studied the annual and semiannual variations of the midlatitude ionosphere under low solar activity using middle and upper (MU) radar (135°E, 35°N) incoherent scatter observations and Sheffield University plasmasphere-ionosphere model (SUPIM).
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