
Abstract. GNSS (Global Navigation Satellite System) data can be used for geodetic remote sensing, particularly for monitoring the ionosphere in the context of Space Weather. One of the important parameters derived from GNSS measurements for ionospheric analysis is the Slant Total Electron Content (STEC). By utilizing GNSS data from multiple frequencies or even a single frequency, the STEC can be computed using an appropriated linear combination, like geometry free. However, when computing an ionospheric gradient between two IPP (Ionospheric Pierce Point) from the same satellite, the precision of the STEC estimate can become a limiting factor. In some cases, the uncertainty in the estimate may be greater than the actual gradient value itself. This poses challenges, especially for augmentation systems like GBAS (Ground Based Augmentation System), where accurate ionospheric gradients are crucial. An alternative approach to improve these limitations is to estimate the STEC using a different approach, like Precise Point Positioning (PPP). For such case, the coordinates of the GNSS stations are constrained to known values (PPP-Fixed), while other parameters such as clock biases, tropospheric delays, and ionospheric delays (including STEC) can be estimated. The results of an experiment carried out to assess the quality of STEC for such application are presented and have shown good results. Ionospheric gradients are agreed in the mm level.
Technology, Multi-GNSS Experiment, Aerospace Engineering, FOS: Mechanical engineering, Global Navigation Satellite Systems, Environmental science, Engineering, Context (archaeology), Global Navigation Satellite Systems (GNSS), Global Positioning System, Applied optics. Photonics, Space Environment Modeling, Ionosphere, Precise Point Positioning, GNSS, Satellite system, Geography, T, GNSS augmentation, Astronomy and Astrophysics, Geology, GPS Integration, FOS: Earth and related environmental sciences, Remote sensing, Engineering (General). Civil engineering (General), Computer science, TA1501-1820, Space Weather and Magnetospheric Physics, Aerospace engineering, Geophysics, Physics and Astronomy, Archaeology, Satellite, GNSS applications, Physical Sciences, Telecommunications, Geodetic datum, Inertial Navigation Systems and Sensor Fusion Techniques, TA1-2040, Geodesy
Technology, Multi-GNSS Experiment, Aerospace Engineering, FOS: Mechanical engineering, Global Navigation Satellite Systems, Environmental science, Engineering, Context (archaeology), Global Navigation Satellite Systems (GNSS), Global Positioning System, Applied optics. Photonics, Space Environment Modeling, Ionosphere, Precise Point Positioning, GNSS, Satellite system, Geography, T, GNSS augmentation, Astronomy and Astrophysics, Geology, GPS Integration, FOS: Earth and related environmental sciences, Remote sensing, Engineering (General). Civil engineering (General), Computer science, TA1501-1820, Space Weather and Magnetospheric Physics, Aerospace engineering, Geophysics, Physics and Astronomy, Archaeology, Satellite, GNSS applications, Physical Sciences, Telecommunications, Geodetic datum, Inertial Navigation Systems and Sensor Fusion Techniques, TA1-2040, Geodesy
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 1 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
