Results 41 to 50 of about 1,086,410 (154)
Abstract This study investigates the impact and mitigation of ionospheric and tropospheric delays on Sentinel‐1 interferograms in northwestern Argentina. The research focuses on the Santa María Basin in the south‐central Andes, a region characterized by moderate seismic deformation, monsoonal moisture supply, a steep east‐west rainfall gradient, and ...
Sofia Viotto, Bodo Bookhagen
wiley +1 more source
Analisis Variasi Temporal-Spasial Nilai Zenith Tropospheric Delay Menggunakan Data CORS di Provinsi Jawa Timur [PDF]
Global Navigation Satellite System (GNSS) semakin dikembangkan sebagai sistem penginderaan jauh atmosfer, salah satunya melalui perhitungan Zenith Tropospheric Delay (ZTD).
Handoko, Eko Yuli +1 more
core +1 more source
Abstract With the ongoing transition for geodetic Very Long Baseline Interferometry (VLBI) from the use of legacy S/X telescopes to the VLBI Global Observing System (VGOS), it is necessary to connect the new VGOS network to the existing legacy S/X telescopes.
Rebekka Handirk +10 more
wiley +1 more source
An investigation into the correlations among GNSS observations and their impact on height and zenith wet delay estimation for medium and long baselines [PDF]
Most stochastic modelling techniques neglect the correlations among the raw un-differenced observations when forming the variance–covariance matrix of the Global Navigation Satellite System (GNSS) observations.
J. Lo (10843059) +1 more
core +2 more sources
Abstract Real‐time water vapor monitoring is critical for meteorological applications such as weather forecasting and nowcasting. However, accurate real‐time retrieval of precipitable water vapor (PWV) from Global Navigation Satellite Systems (GNSS) remains challenging, especially for GNSS stations lacking meteorological sensors.
Wenjie Yin +10 more
wiley +1 more source
Abstract Monitoring water vapor during extreme events is crucial for understanding atmospheric physics, as well as for improving the prediction of severe weather and enhancing early warning systems. The major gap in monitoring water vapor during extreme events lies in the limited spatial and temporal resolutions of existing techniques.
P. Mateus +4 more
wiley +1 more source
The prior zenith hydrostatic delay (ZHD) is an essential parameter for the Global Navigation Satellite System (GNSS) and very long baseline interferometry (VLBI) high-precision data processing. Meanwhile, the precise ZHD facilitates the separation of the
Junyu Li +5 more
doaj +1 more source
MSWD: A Hybrid Machine‐Learning Framework for Slant Wet Delay Modeling
Abstract Space geodetic techniques such as Global Navigation Satellite Systems (GNSS) and Very Long Baseline Interferometry (VLBI) are limited by direction‐dependent tropospheric delays, with slant wet delay (SWD) being the most variable component and a major error source.
Zhenyi Zhang, Benedikt Soja
wiley +1 more source
Abstract Global Navigation Satellite Systems (GNSS) provide continuous measurements of zenith wet delay (ZWD), reflecting column‐integrated atmospheric water vapor. While the slowly varying ZWD is routinely assimilated in numerical weather prediction, the rapid fluctuations on timescales of seconds to minutes that arise from boundary‐layer turbulence ...
Gaël Kermarrec +3 more
wiley +1 more source
Artificial Neural Network for Predicting Global Sub-Daily Tropospheric Wet Delay
These are the full results from "Artificial Neural Network for Predicting global sub-daily Tropospheric Wet Delay" for the selected 505 stations. They are divided into: 1- Raw time series of the 505 stations for (ZWD, Pressure, Temperature and Integrated
Mohammed, J (via Mendeley Data) +1 more
core +2 more sources

