Topic
TEC
About: TEC is a research topic. Over the lifetime, 5119 publications have been published within this topic receiving 84696 citations.
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TL;DR: The results show that the performance of TECs has been improved by reducing the TEC's size and ratio of length to cross-sectional area, resulting in a maximum cooling temperature difference of 88?C, a cooling power density of 1000Wcm-2 and a short response time on the order of milliseconds.
46 citations
TL;DR: In this paper, the features of ionospheric parameters variations during the geomagnetic storm of September 7-8, 2017 were analyzed and it was found that these two storms had different impacts on the ionosphere.
46 citations
TL;DR: In this paper, the rate of change of TEC (R O T ) derived fluctuation index was used to study irregularities in the ionosphere at Franceville in Gabon (Lat.= −1.63°, Long.= 13.55°, Geomag.
46 citations
TL;DR: In this paper, an analysis of the total electron content (TEC) derived from the International GNSS Service (IGS) receivers at Malindi (mal2: 2.9oS, 40.1oE, dip −26.813o), Kasarani (rcmn: 36.2oS, 0.970o), Eldoret (moiu: 35.3oE 0.037o) and GPS-SCINDA (36.3oS, 1.117o) receiver located in Nairobi for the period 2009-2011
46 citations
TL;DR: A complex technique with its built‐in cycle slip correction procedures that have been developed for ionospheric space research to obtain high‐quality and high‐precision GPS‐derived total electron content (TEC) values and results indicate that errors can be detected and corrected more reliably in the vertical TEC data than in the slant relative T EC data.
Abstract: This paper describes a complex technique with its built-in cycle slip correction procedures that have been developed for ionospheric space research to obtain high-quality and high-precision GPS-derived total electron content (TEC) values. Thus, to correct GPS anomalies while the signatures of space weather features detected in the dual-frequency 30-s rate GPS data are preserved is the main aim of this technique. Its main requirement is to complete fully automatically all the tasks required to turn the observational data to the desired final product. Its major tasks include curve fitting, cycle slip detection and correction in the slant relative TEC data, residual error detection and correction in the vertical TEC data, and vertical TEC data filtering for quantifying data smoothness and GPS phase fluctuations. A detailed description of these two data correction methods is given. Validation tests showing weaknesses and strengths of the methods developed are also included and discussed. Versatility and accuracy of the methods are demonstrated with interesting and real-world examples obtained from smooth midlatitude and from dynamic low- and high-latitude data. Results indicate that errors can be detected and corrected more reliably in the vertical TEC data than in the slant TEC data because of the lower rate of change of vertical TEC over a 30-s sampling period. Future work includes the development of a complex software package wherein the individual FORTRAN algorithms, described in this paper, will be incorporated into one main (FORTRAN, Matlab, or C++) program to provide professional and customized GPS data processing for ionospheric space research.
46 citations