2021
DOI: 10.3390/s21041551
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Accuracy Analysis of International Reference Ionosphere 2016 and NeQuick2 in the Antarctic

Abstract: Global navigation satellite system (GNSS) can provide dual-frequency observation data, which can be used to effectively calculate total electron content (TEC). Numerical studies have utilized GNSS-derived TEC to evaluate the accuracy of ionospheric empirical models, such as the International Reference Ionosphere model (IRI) and the NeQuick model. However, most studies have evaluated vertical TEC rather than slant TEC (STEC), which resulted in the introduction of projection error. Furthermore, since there are f… Show more

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Cited by 10 publications
(5 citation statements)
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References 23 publications
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“…With  D E possibly being 1.3 as opposed to 1.0, the value that we use, the simulated radiance could increase but would still be about 41% smaller than observed. Guo et al (2021) found that the IRI model could underestimate the F2-layer slant TEC in March by about 10%, meaning that [O + ] could also be underestimated by the same amount. Moreover, the NRLMSISE-00 model results in noticeably lower [O 2 ] according to Picone et al (2002), sometimes by a factor as low as…”
Section: Reconstruction Of Airglow Observationmentioning
confidence: 98%
See 1 more Smart Citation
“…With  D E possibly being 1.3 as opposed to 1.0, the value that we use, the simulated radiance could increase but would still be about 41% smaller than observed. Guo et al (2021) found that the IRI model could underestimate the F2-layer slant TEC in March by about 10%, meaning that [O + ] could also be underestimated by the same amount. Moreover, the NRLMSISE-00 model results in noticeably lower [O 2 ] according to Picone et al (2002), sometimes by a factor as low as…”
Section: Reconstruction Of Airglow Observationmentioning
confidence: 98%
“…Guo et al. (2021) found that the IRI model could underestimate the F2‐layer slant TEC in March by about 10%, meaning that [O + ] could also be underestimated by the same amount. Moreover, the NRLMSISE‐00 model results in noticeably lower [O 2 ] according to Picone et al.…”
Section: Application To Airglow Observation Reconstructed By Simulationmentioning
confidence: 99%
“…As a multiple linear regression technique, stepwise regression helps in finding the optimum combination of independent variables for predicting the dependent variable by incrementally adding or removing variables [102]. With significantly less processing than is required for all conceivable regressions, stepwise regression is a reliable approach for selecting the right subset models or the right set of independent variables that is the most suitable for the dependent variable [103].…”
Section: Stepwise Regressionmentioning
confidence: 99%
“…Although the model can obtain long-term ionospheric prediction results, the input parameters are more complicated and the error is large under certain conditions [9,10].…”
Section: Introductionmentioning
confidence: 99%