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Author

Benedikt Soja

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5 papers indexed here

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Review Open access Sep 2026

Multi-facility GNSS antenna calibration

Accurate antenna calibrations are a cornerstone of high-quality global navigation satellite systems (GNSS) positioning, time and frequency transfer, precise orbits, and troposphere estimates. The international GNSS service (IGS) antenna committee maintains antenna phase center corrections in the ANTEX file relying on f...

T. Kersten, Johannes Kröger, S. Schön et al. · 0 citations
Review Open access Sep 2026

Uncertainties of GRACE/GRACE-FO Satellite Gravimetry Data and Thereof Derived Products

Inter-satellite ranging by space gravimetry missions, such as from the Gravity Recovery And Climate Experiment (GRACE) mission and its successor mission GRACE Follow-On, has been established to observe mass variations in the Earth system from space globally. A complex processing chain is needed to invert the instrume...

A. Jäggi, A. Güntner, Ulrich Meyer et al. · 0 citations
Open access Sep 2026

Machine-learned mapping functions for the asymmetric troposphere

Accurate empirical tropospheric mapping functions (MFs) are essential for high-precision geodetic applications such as GNSS and VLBI. However, traditional MFs assume azimuthal symmetry or explicitly model gradients on regular grids, limiting their ability to represent real atmospheric conditions. To address the limitat...

Zhen-Yi Zhang, Benedikt Soja · 1 citation
Open access Aug 2026

Toward a GNSS network solution in space based on double-differences between LEO satellites

As low-Earth orbit (LEO) satellites are increasingly equipped with highly precise Global Navigation Satellite Systems (GNSS) receivers, new opportunities for GNSS-based precise orbit determination (POD) arise. The availability of GNSS observations from satellites that are geometrically well distributed over the entire...

Lukas Müller, Markus Rothacher, Benedikt Soja et al. · 0 citations
Open access 2026

DeepTomo: An Explainable Physics-Informed Deep Learning Framework for Troposphere Tomography, Toward AI-Based GNSS Data Assimilation

This analysis provides an initial indication that DeepTomo, by producing physically consistent GNSS-constrained moisture analyses from ERA5 background fields, has the potential to improve initial conditions and forecast performance in next-generation AI weather forecasting systems, such as GraphCast, bridging GNSS obse...

Saeid Haji-Aghajany, Benedikt Soja, Ke-Fei Zhang et al. · 1 citation

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