The International GPS Service (IGS) Ionosphere Working Group

Feltens, J.

doi:10.1016/s0273-1177(03)00029-2

Cited by 74 publications

(42 citation statements)

References 2 publications

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“…The ionosphere maps accessed from ftp://cddis.gsfc.nasa.gov/pub/gps/products/ ionex are with spatial resolution of 5 longitude, and 2:5 latitude and temporal interval of 2 h. The IGS-GIM VTEC maps have become a reliable source of ionospheric information since 1998 due to global distribution of continuous-tracking sites (Feltens, 2003;Hernández-Pajares et al, 2009). In the present study, the VTEC at different latitudes are extracted from the final IGS-GIM by using bilinear spatial interpolation of VTEC values from four nearest grid points (Schaer et al, 1998).…”

Section: Model Comparisonsmentioning

confidence: 99%

Study of Ionospheric TEC from GPS observations and comparisons with IRI and SPIM model predictions in the low latitude anomaly Indian subcontinental region

Panda

Gedam

Rajaram

2015

Advances in Space Research

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Section: Model Comparisonsmentioning

confidence: 99%

Study of Ionospheric TEC from GPS observations and comparisons with IRI and SPIM model predictions in the low latitude anomaly Indian subcontinental region

Panda

Gedam

Rajaram

2015

Advances in Space Research

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“…The results shown in Table 1 reveal some evidence that the mean residual delay " I is essentially different from 0, although we could expect that least squares residual ionospheric delay estimates are unbiased as we use consistent DCB and ionosphere data obtained from the same IGS ionosphere estimation process (Feltens 2003). Besides, the daily estimates of " I demonstrate excellent day-to-day repeatability, the mutual agreement being within 2 cm regardless of the state of the ionosphere.…”

Section: Determination Of the Mean Residual Delay " Imentioning

confidence: 86%

A new algorithm for single receiver DCB estimation using IGS TEC maps

Keshin

2011

GPS Solut

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A new algorithm for single receiver DCB estimation using GIM vertical TEC gridded values is proposed. It estimates receiver DCB and vertical residual ionospheric delays using the least squares approach with linear constraints. The performance of the proposed algorithm was assessed by comparing estimated receiver DCBs with those provided by the IGS. The same comparisons were done using two other algorithms for receiver DCB estimation. It is demonstrated that the proposed algorithm is capable of reproducing IGS DCB values at the level of 0.1-0.3 ns, which is better than the level of agreement observed for the other two algorithms. For our tests, we considered data from more than 100 IGS stations, daily, such that all major regions of the world were covered. Besides, both ionospherically quiet and disturbed days were considered. It provides some evidence that the aforementioned level of agreement with IGS receiver DCB values does not significantly dependent on geographical region and the state of the ionosphere. The algorithm is easy to implement and can be considered for online use.

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“…This type of validation has noted problems, namely the fact that there are no true values of TEC (Feltons 2003;Araujo-Pradere et al 2007). Using linear regressions and residuals the relative and absolute differences between the Jason and CDDIS TEC can be examined separately.…”

Section: Tec Validationmentioning

confidence: 99%

Total electron content processing from GPS observations to facilitate ionospheric modeling

2008

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With the increasing global distribution of high rate dual-frequency global positioning system (GPS) receivers, the production of a real-time atmospheric constituent definition, total electron content (TEC), has become a beneficial contributor to the modeling applications used in the assessment of GPS position accuracy and the composition of the ionosphere, plasmasphere, and troposphere. Historically, TEC measurements have been obtained through post processing techniques to produce the quality of data necessary for modeling applications with rigorous error estimate requirements. These procedures necessitated the collection of large volumes of data to address the various abnormalities in the computation of TEC associated with the use of greater data quality controls and source selection while real-time modeling environments must rely on autonomous controls and filtration techniques to prevent the production of erroneous model results. In this paper we present methods for processing TEC in real time, which utilize several procedures including the application of an ionospheric model to automatically perform quality control on the TEC output and the computational techniques used to address receiver multipath, faulty receiver observations, cycle-slips, segmented processing, and receiver calibrations. The resulting TEC measurements are provided with rigorous error estimates validated using the vertical TEC from the Jason satellite mission.

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The International GPS Service (IGS) Ionosphere Working Group

Cited by 74 publications

References 2 publications

Study of Ionospheric TEC from GPS observations and comparisons with IRI and SPIM model predictions in the low latitude anomaly Indian subcontinental region

Study of Ionospheric TEC from GPS observations and comparisons with IRI and SPIM model predictions in the low latitude anomaly Indian subcontinental region

A new algorithm for single receiver DCB estimation using IGS TEC maps

Total electron content processing from GPS observations to facilitate ionospheric modeling

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