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Machine learning and meteorological data for spatio-temporal prediction of tropospheric parameters
(2022)EGUsphereOther Conference Item -
Impact of erroneous station coordinates on the estimation of UT1-UTC with VLBI Intensive sessions
(2022)EGUsphereSo-called Intensives are one-hour-long VLBI sessions including mostly two stations, which are routinely observed to derive the Earth's phase of rotation expressed through the parameter UT1-UTC. Due to the limitation in time and participating stations, only a few parameters of interest can be estimated during the analysis, whereas others are fixed to their a priori values, such as the remaining Earth orientation parameters, as well as ...Other Conference Item -
Investigating INT2 and INT3 VLBI session performance for the determination of dUT1
(2022)EGUsphereThe rapid determination of the Earth's phase of rotation, expressed through the Earth rotation parameter dUT1, is one of the core tasks of geodetic Very Long Baseline Interferometry (VLBI). To ensure a low latency between observation and analysis results, dedicated 1-hour-long VLBI sessions, so-called Intensives, are regularly observed. Two of these Intensive programs, namely INT2 and INT3, are organized and monitored by the joint IVS ...Other Conference Item -
Improving the accuracy of rapid Earth Orientation Parameters with the "ResLearner" machine learning method
(2023)EGUsphereDetermination of Earth Orientation Parameters (EOP) with utmost accuracy requires the combination of various data sources from different space geodetic techniques, some of which requiring long processing time. This results in a latency of up to several weeks by which the so-called final EOP are released. Since some of the important applications, including satellite navigation and orientation of deep space telescopes, require instantaneous ...Other Conference Item -
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Machine learning-based exploitation of crowdsourced GNSS data for atmospheric studies
(2023)Other Conference Item -
Uncertainty quantification in deep learning applied to geodetic problems
(2023)Other Conference Item -
Land motion in Europe imaged by GNSS
(2023)EGUsphereThe densification of high-quality, permanent GNSS stations in Europe enables a large-scale investigation of deformation processes on the Earth’s surface. This work aims to interpolate the horizontal and vertical GNSS station velocities and thus produce velocity fields showing the land motion for Switzerland, the Alps and Europe. The GNSS station velocities are provided by the EUREF Working Group on European Dense Velocities. The data set ...Other Conference Item -
A machine learning approach to recover GRACE-B accelerometer data
(2023)EGUsphereIn gravimetry satellite missions GRACE (Gravity Recovery and Climate Experiment) and GRACE-FO (GRACE Follow-On), accelerometer measurements from both satellites are necessary for the gravity field recovery. The accelerometer provides accurate measurements of the non-gravitational forces acting on the spacecraft, such as atmospheric drag, solar radiation pressure and albedo. These measurements are required to separate any non-gravitational ...Other Conference Item