Study of ionospheric models for satellite orbit determination

Bilitza, D.; Rawer, K.; Pallaschke, S.

doi:10.1029/rs023i003p00223

Cited by 29 publications

(21 citation statements)

References 11 publications

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“…The electron content and other parameters in the ionosphere from the ground to the ceiling heights nearly around 1000 km are very essential for both geophysical and engineering applications [ Bilitza et al , ]. To study the variation of such parameters for the described purposes, ionospheric models (such as IRI model) play a vital role when measured values are not available.…”

Section: Data Description and Methods Of Analysismentioning

confidence: 99%

TEC prediction performance of IRI‐2012 model during a very low and a high solar activity phase over equatorial regions, Uganda

Tariku

2015

JGR Space Physics

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This paper examines the capacity of the latest version of the International Reference Ionosphere (IRI‐2012) model in predicting the vertical total electron content (VTEC) variation over Uganda during a very low solar activity phase (2009) and a high solar activity (2012) phase. This has been carried out by comparing the ground‐based Global Positioning System (GPS) VTEC inferred from dual‐frequency GPS receivers installed at Entebbe (geographic latitude 0.038°N and longitude 32.44°E; geomagnetic latitude −9.53°N and longitude 104.06°E) and Mbarara (geographic latitude −0.60°N and longitude 30.74°E; geomagnetic latitude −10.02°N and longitude 102.36°E). In this work, the diurnal, monthly, and seasonal variations in the measured VTEC have been analyzed and compared with the VTEC derived from IRI‐2012 model. It has been shown that the lowest diurnal peak GPS‐VTEC values are observed in the June solstice months during both the low and the high solar activity phases. Similarly, the highest diurnal peak IRI‐2012 VTEC values are observed in equinoctial months during both phases. The variability of the VTEC in both the experimental and model is minimal nearly at 03:00 UT (06:00 LT) and maximal mostly between 10:00 and 13:00 UT (13:00–16:00 LT) during both phases. The diurnal highest peak modeled VTEC value observed during the high solar activity phase is almost twice larger than the diurnal highest peak modeled VTEC value depicted during the low solar activity phase. Moreover, the highest monthly mean hourly measured VTEC value observed in October during the high solar activity phase is larger by more than twice the corresponding highest monthly mean hourly measured VTEC value observed in November during the low solar activity phase. Similarly, the lowest monthly measured VTEC value observed in July during the high solar activity phase is larger by more than twice the corresponding lowest measured monthly VTEC value observed in the same month during the low solar activity phase. It has also been shown that the highest measured seasonal mean hourly VTEC values are observed in the December solstice and the March equinox, respectively, during the low and the high solar activity phases, while the corresponding lowest measured VTEC values are observed in the June solstice during both phases. The model prediction generally follows the monthly and seasonal variations of measured VTEC, with the highest and the lowest monthly values being observed in equinoctial and solstice months, respectively, during both phases. The overall results show that the modeled diurnal, monthly, and seasonal VTEC values are generally larger than those corresponding measured VTEC values observed during both the low and the high solar activity phases, with the largest deviations being observed during the low solar activity phase. Moreover, the model does not respond to the effects resulting from the storm. Hence, unlike the measured VTEC values, the modeled VTEC values are unaffected by the storm.

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Section: Data Description and Methods Of Analysismentioning

confidence: 99%

TEC prediction performance of IRI‐2012 model during a very low and a high solar activity phase over equatorial regions, Uganda

Tariku

2015

JGR Space Physics

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“…[9] A comparison between the Bent model and the IRI model and their application for satellite orbit determination was discussed by Bilitza et al [1988]. IRI showed better results, and they attribute it to the more detailed representation of the bottomside density structure.…”

Section: Introductionmentioning

confidence: 99%

Systematic behavior of semiempirical global ionospheric models in quiet geomagnetic conditions

et al. 2002

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[1] Semiempirical ionospheric models are widely used in many applications. In this work we analyze the global representation of the vertical total electron content (VTEC) derived from the La Plata single-layer GPS ionospheric model (LPIM), the international reference ionosphere (IRI) model, and the Bent model. To perform this analysis, we compare the output from these models with VTEC determinations from the TOPEX/Poseidon (T/P) satellite. The analysis of the differences is performed over a large number of selected quiet geomagnetic days during the year 1997. From these comparisons we can conclude that LPIM gives the best global VTEC representation, even without modeling the ionospheric equatorial anomaly. The mean global difference between the VTEC determined by T/P and computed by LPIM is in the range of 2 and 3 TECU (1 TECU = 10 16 el/m 2 ). IRI and Bent models tend to show larger discrepancies with T/P during the summer solstices in both Northern and Southern Hemispheres.

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“…However, the quantitative agreement is not always sufficient for operational requirements. While these numerical experiments are important to our understanding of the global ionospheric morphology, empirical, and semiempirical ionospheric models are in common use in a variety of applications areas, such as in ionospheric ray tracing [e.g., Davies and Rush, 1985] and HF propagation studies [e.g., Rush, 1986 1983], as well as in the evaluation of ionospheric effects on satellite orbits [e.g., Bilitza et al, 1988]. There is a continued effort to verify and improve these models [e.g., Rawer, 1984, and references therein].…”

Section: Introductionmentioning

confidence: 99%

Ionospheric equivalent slab thickness and its modeling applications

Fox¹,

Mendillo²,

Klobuchar³

1991

Radio Science

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A data base of equivalent slab thickness observations covering nearly two complete solar cycles has been obtained at a mid‐latitude site (Hamilton, Massachusetts). The mean variations are described both qualitatively, in terms of changes to profile shapes, and quantitatively, in terms of a simple numerical model. A number of currently available ionospheric models have also been used to predict values of slab thickness (τ = total electron content/Nmax) over Hamilton, Massachusetts, and comparisons of these values with those observed provided validation of the models. Adjustments to the model profiles were suggested in a couple of cases.

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Study of ionospheric models for satellite orbit determination

Cited by 29 publications

References 11 publications

TEC prediction performance of IRI‐2012 model during a very low and a high solar activity phase over equatorial regions, Uganda

TEC prediction performance of IRI‐2012 model during a very low and a high solar activity phase over equatorial regions, Uganda

Systematic behavior of semiempirical global ionospheric models in quiet geomagnetic conditions

Ionospheric equivalent slab thickness and its modeling applications

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