Results 1 to 10 of about 95,608 (153)
Error Characteristics of GNSS Derived TEC [PDF]
The Global Navigation Satellite System (GNSS) allows for the cost-effective estimation of the ionospheric total electron content (TEC). However, research on error characteristics of the derived TEC is scarce, which provides insights into the quality of ...
Guanyi Ma, Jiangtao Fan
exaly +5 more sources
Algorithm Research Using GNSS-TEC Data to Calibrate TEC Calculated by the IRI-2016 Model over China
The International Reference Ionosphere (IRI) is an empirical model widely used to describe ionospheric characteristics. In the previous research, high-precision total ionospheric electron content (TEC) data derived from global navigation satellite system
Xingliang Huo, Zishen Li, Wen Zhang
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Assimilating GNSS TEC with an LETKF over Yunnan, China
A robust ionospheric model is indispensable for providing the atmospheric delay corrections for global navigation satellite system (GNSS) navigation and positioning and forecasting the space environment. The accuracy of ionospheric models is limited due to the simplified model structures. Complicated spatiotemporal variations in total electron content (
Jun Tang, Dengpan Yang, Shimeng Zhang
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Comparison of TEC Calculations Based on Trimble, Javad, Leica, and Septentrio GNSS Receiver Data
A Global Navigation Satellite System (GNSS) receiver is, to some extent, a “black box” when its data is used for ionospheric studies. Our results based on Javad, Septentrio, Trimble, and Leica GNSS receivers have proven that the accuracy of the slant ...
Enrique Cabral-Cano +1 more
exaly +4 more sources
Analysis of GNSS Data for Earthquake Precursor Studies Using IONOLAB-TEC in the Himalayan Region
Earthquake precursors are the indicators that appear before an earthquake. The release of radon gas, ionospheric disturbances, anomalous animal behavior, and so on are examples of seismic and aseismic events. Ionospheric perturbations can be proved to be
Suresh Kannaujiya, Utkarsh Joshi
exaly +4 more sources
Big L days are days when the lunar semidiurnal variation M2 in the ionosphere is strongly enhanced by a factor of 2 or more. The worldwide network of ground-based receivers for the Global Navigation Satellite System (GNSS) has monitored the ionospheric total electron content (TEC) since 1998.
Klemens Hocke, Guanyi Ma
openaire +2 more sources
Ionospheric Assimilation of GNSS TEC into IRI Model Using a Local Ensemble Kalman Filter
Ionospheric total electron content (TEC) is important data for ionospheric morphology, and also an important parameter for ionospheric correction in Global Navigation Satellite System (GNSS) precise positioning, navigation, and radio science.
Xingliang Huo +2 more
exaly +3 more sources
Fine structure of a daytime mid-latitude sporadic-E revealed by GNSS TEC, InSAR, and MAI
Combining the total electron content (TEC) data from two nationwide Global Navigation Satellite System (GNSS) networks in Japan with the L-band synthetic aperture radar (SAR) data, we reveal the fine spatial and temporal structure of a daytime sporadic-E
Tatsuya Fujimoto +2 more
doaj +2 more sources
INDONESIAN TSUNAMI EARLY WARNING SYSTEM AUGMENTATION USING GNSS-TEC [PDF]
The Indonesian tsunami early warning system (INATEWS) has been developed and operated after the tsunami struck Aceh in December 2004. The INATEWS is based on a relationship model of earthquake parameters and tsunami potential.
Buldan Muslim +2 more
doaj +2 more sources
Mapping the Ionosphere Over East Asia Based on Ground‐Based GNSS TEC Data in 2010–2023
Using total electron content (TEC) data from multiple ground‐based Global Navigation Satellite System (GNSS) receiver networks from 2010 to 2023, we reconstructed ionospheric TEC maps for East Asia.
Libo Liu, Zhang Ruilong, Wenbo Li
exaly +2 more sources

