Ultra-short-term prediction of LOD using LSTM neural networks
Earth orientation parameters (EOPs) are essential in geodesy, linking the terrestrial and
celestial reference frames. Due to the time needed for data processing and combining …
celestial reference frames. Due to the time needed for data processing and combining …
Global zenith wet delay modeling with surface meteorological data and machine learning
The tropospheric delay is a major error source for space geodetic techniques, and the
performance of its modeling is significantly limited due to the high spatiotemporal variability …
performance of its modeling is significantly limited due to the high spatiotemporal variability …
Tropospheric delays derived from ground meteorological parameters: comparison between machine learning and empirical model approaches
L Miotti, E Shehaj, A Geiger, S D'Aronco… - 2020 European …, 2020 - ieeexplore.ieee.org
High spatio-temporal variability of atmospheric water vapor is directly reflected in the
tropospheric pathdelays that microwave satellite signals experience. The so-called zenith …
tropospheric pathdelays that microwave satellite signals experience. The so-called zenith …
[HTML][HTML] High-resolution tropospheric refractivity fields by combining machine learning and collocation methods to correct earth observation data
Signals used for Earth observation, when travelling through the atmosphere, are sensitive to
refractivity; especially high spatio-temporal variations of water vapor are difficult to model …
refractivity; especially high spatio-temporal variations of water vapor are difficult to model …
Mean Tropospheric Temperature Estimation Using Deep Learning and Ensemble Methods
D Brum, VF Rofatto, L Gonzaga… - IGARSS 2022-2022 …, 2022 - ieeexplore.ieee.org
The Precipitable Water Vapor is an important quantity for both meteorological and GNSS
satellite-based positioning applications. Its quantification is closely related to the mean …
satellite-based positioning applications. Its quantification is closely related to the mean …
[PDF][PDF] GFZ Analysis Center 2019–2020 Report
R Heinkelmann, S Glaser, G Beyerle, H Schuh… - ivscc.gsfc.nasa.gov
GFZ Analysis Center 2019–2020 Report Page 1 GFZ Analysis Center 2019–2020 Report
Robert Heinkelmann1, Susanne Glaser1, Georg Beyerle1, Harald Schuh1,2, James …
Robert Heinkelmann1, Susanne Glaser1, Georg Beyerle1, Harald Schuh1,2, James …