Tropospheric and ionospheric media calibrations based on global navigation satellite system observation data

Feltens, J.; Bellei, Gabriele; Springer, T.; Kints, Mark V.; Zandbergen, R.; Budnik, Frank; Schönemann, Erik

doi:10.1051/swsc/2018016

Cited by 14 publications

(10 citation statements)

References 13 publications

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“…The standard SLM mapping function applies R = 6371 km, H = 450 km, and α = 1, while the Modified Single Layer Model (MSLM) mapping function applies R = 6371 km, H = 506.7 km, and α = 0.9782 (Feltens et al 2018). Most of the IAACs, e.g., CODE, ESA, and NRCan, use the MSLM mapping function, which is the best fit to extended slab model mapping function used by JPL (Coster et al 1992).…”

Section: Comparison With Gps Stec Data: Self-consistency Analysismentioning

confidence: 99%

Validation of GNSS-derived global ionosphere maps for different solar activity levels: case studies for years 2014 and 2018

et al. 2021

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Ionosphere Associate Analysis Centers (IAACs) of the International GNSS Service (IGS) independently produce global ionosphere maps (GIMs) of the total electron content (TEC). The GIMs are based on different modeling techniques, resulting in different TEC levels and accuracies. In this study, we evaluated the accuracy and consistency of the IAAC GIMs during high (2014) and low (2018) solar activity periods of the 24th solar cycle. In our study, we applied two different evaluation methods. First, we carried out a comparison of the GIM-derived slant TEC (STEC) with carrier phase geometry-free combination of GNSS signals obtained from 25 globally distributed stations. Second, vertical TEC (VTEC) from GIMs was compared to altimetry-derived VTEC obtained from the Jason-2 and Jason-3 satellites and complemented for plasmaspheric TEC. The analyzed GIMs obtained STEC RMS values reaching from 1.98 to 3.00 TECU and from 0.96 to 1.29 TECU during 2014 and 2018, respectively. The comparison to altimetry data resulted in VTEC STD values that varied from 3.61 to 5.97 TECU and from 1.92 to 2.78 TECU during 2014 and 2018, respectively. The results show that among the IAACs, the Center for Orbit Determination in Europe global maps performed best in low and high solar activity periods. However, the highest accuracy was obtained by a non-IGS product—UQRG GIMs provided by Universitat Politècnica de Catalunya. It was also shown that the best results were obtained using a modified single layer model mapping function and that the map time interval has a relatively small influence on the resulting map accuracy.

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Section: Comparison With Gps Stec Data: Self-consistency Analysismentioning

confidence: 99%

Validation of GNSS-derived global ionosphere maps for different solar activity levels: case studies for years 2014 and 2018

et al. 2021

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“…The tropospheric zenith delay was estimated from GNSS measurements with a 5 min temporal resolution, using the precise point positioning Kalman filter approach (Zumberge et al, 1997). The ZHD was then derived from surface pressure measurements, following the same procedure described in Section 4, and subtracted from the total delay to obtain the wet component (Feltens et al, 2018).…”

Section: Media Calibrationsmentioning

confidence: 99%

Performance Characterization of ESA's Tropospheric Delay Calibration System for Advanced Radio Science Experiments

et al. 2021

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Precise radiometric tracking is of key importance during operations of interplanetary missions and for advanced radio science applications. Radio science research performed on deep space missions like Cassini, Juno, BepiColombo, and the upcoming JUICE mission, rely on a combination of X and K a band radio links to mitigate the dispersive effects of propagation through interplanetary plasma, solar corona, and Earth ionosphere, leaving tropospheric delay as one of the main error contributors to Doppler and ranging measurements.To meet the demanding requirements of BepiColombo's Mercury Orbiter Radio science Experiment (MORE) (Iess et al., 2021) and JUICE's Geodesy and Geophysics of Jupiter and the Galilean Moons (3 GM) radio science experiment (Cappuccio et al., 2020), in terms of radiometric tracking accuracy and end-toend stability of the Doppler signals, ground-based microwave radiometers (MWR) are deemed as the most appropriate instruments for tropospheric delay calibration (Iess et al., 2009).Microwave radiometers have been extensively used in the past decades for the correction of tropospheric induced delay in astrometric and geodetic observations using very large base interferometry (VLBI) (Nikolic et al., 2013;Roy et al., 2007). However, their application to deep space radiometric tracking was originally introduced by the Jet Propulsion Laboratory (JPL) to support the Cassini radio science experiments, with the development and installation of two dedicated high-stability water vapor radiometers at the Goldstone deep space communication complex in California (

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“…This component is difficult to model without measurements due to the high spatial and temporal variability of the water vapor. However, the use of GNSS data or products will help to decrease the wet troposphere contamination of the observation (Feltens et al, 2018). Finally, the ground station contributes to Doppler noise due to temperature and location uncertainties.…”

Section: The Error-budgetmentioning

confidence: 99%

The radioscience LaRa instrument onboard ExoMars 2020 to investigate the rotation and interior of mars

Déhant

Maistre

Baland

et al. 2020

Planetary and Space Science

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LaRa (Lander Radioscience) is an experiment on the ExoMars 2020 mission that uses the Doppler shift on the radio link due to the motion of the ExoMars platform tied to the surface of Mars with respect to the Earth ground stations (e.g. the deep space network stations of NASA), in order to precisely measure the relative velocity of the lander on Mars with respect to the Earth. The LaRa measurements shall improve the understanding of the structure and processes in the deep interior of Mars by obtaining the rotation and orientation of Mars with a better precision compared to the previous missions. In this paper, we provide the analysis done until now for the best realization of these objectives. We explain the geophysical observation that will be reached with LaRa (Length-of-day variations, precession, nutation, and possibly polar motion). We develop the experiment set up, which includes the ground stations on Earth (so-called ground segment). We describe the instrument, i.e. the transponder and its three antennas. We further detail the link budget and the expected noise level that will be reached. Finally, we detail the expected results, which encompasses the explanation of how we shall determine Mars' orientation parameters, and the way we shall deduce Mars' interior structure and Mars' atmosphere from them. Lastly, we explain briefly how we will be able to determine the Surface platform position.

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Tropospheric and ionospheric media calibrations based on global navigation satellite system observation data

Cited by 14 publications

References 13 publications

Validation of GNSS-derived global ionosphere maps for different solar activity levels: case studies for years 2014 and 2018

Validation of GNSS-derived global ionosphere maps for different solar activity levels: case studies for years 2014 and 2018

Performance Characterization of ESA's Tropospheric Delay Calibration System for Advanced Radio Science Experiments

The radioscience LaRa instrument onboard ExoMars 2020 to investigate the rotation and interior of mars

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