Results 11 to 20 of about 763,719 (165)

Zenith Wet Delay (ZWD) Seasonal Correlation with Rainfall in Cikapundung River Discharge, North Bandung Region, Indonesia [PDF]

open access: yesE3S Web of Conferences, 2019
In a GPS survey study, the biases produced by the ionosphere and troposphere layers are known as ionospheric biases and troposphere bias. The distance deviation due to the slowing travel time of GPS signals in troposphere is commonly referred to as ...
Kuntjoro Wedyanto   +4 more
doaj   +3 more sources

HGPT2: An ERA5-Based Global Model to Estimate Relative Humidity

open access: yesRemote Sensing, 2021
The neutral atmospheric delay is one of the major error sources in Space Geodesy techniques such as Global Navigation Satellite Systems (GNSS), and its modeling for high accuracy applications can be challenging.
Pedro Mateus   +2 more
doaj   +2 more sources

Airborne Coherent GNSS Reflectometry and Zenith Total Delay Estimation over Coastal Waters [PDF]

open access: yesRemote Sensing, 2022
High-precision GNSS (global navigation satellite e system) measurements can be used for remote sensing and nowadays play a significant role in atmospheric sounding (station data, radio occultation observations) and sea surface altimetry based on ...
Mario Moreno   +6 more
doaj   +2 more sources

Mesoscale GPS Zenith Delay assimilation during a Mediterranean heavy precipitation event [PDF]

open access: yesAdvances in Geosciences, 2008
The impact of assimilating Zenith Total delay (ZTD) observations from a mesoscale ground-based GPS network over Western Europe is evaluated for the heavy precipitation event of 5–9 September 2005 over Southern France.
X. Yan   +4 more
doaj   +2 more sources

Deep Neural Networks for Refining Vertical Modeling of Global Tropospheric Delay

open access: yesGeophysical Research Letters
Kinematic airborne platforms are becoming increasingly vital for Earth observation. They highlight the critical need for accurate tropospheric delay corrections across varying altitudes, especially as most existing models are limited to Earth's surface ...
Peng Yuan   +9 more
doaj   +2 more sources

Evaluation of Forecast‐Based Global GNSS Precipitable Water Vapor Retrieval Using the AI‐Based Global Weather Forecast Model

open access: yesEarth and Space Science
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 ...
Wenjie Yin   +10 more
doaj   +2 more sources

Measurement report: Can zenith wet delay from GNSS “see” atmospheric turbulence? Insights from case studies across diverse climate zones [PDF]

open access: yesAtmospheric Chemistry and Physics
Global navigation satellite system (GNSS) microwave signals are nearly unaffected by clouds but are delayed as they travel the troposphere. The hydrostatic delay accounts for approximately 90 % of the total delay and can be modelled well as a function of
G. Kermarrec   +3 more
doaj   +3 more sources

An ERA5-Based Hourly Global Pressure and Temperature (HGPT) Model

open access: yesRemote Sensing, 2020
The Global Navigation Satellite System (GNSS) meteorology contribution to the comprehension of the Earth’s atmosphere’s global and regional variations is essential.
Pedro Mateus   +3 more
doaj   +1 more source

Tropospheric delay performance for GNSS integrated water vapor estimation by using GPT2w model, ECMWF's IFS operational model and in situ meteorological data [PDF]

open access: yesAdvances in Geosciences, 2018
Tropospheric delay comprises one of the most important error sources in satellite navigation and is caused when radio signals broadcasted by GPS satellites propagate into the atmosphere.
C. Oikonomou   +10 more
doaj   +1 more source

Assessment of the Accuracy of the Saastamoinen Model and VMF1/VMF3 Mapping Functions with Respect to Ray-Tracing from Radiosonde Data in the Framework of GNSS Meteorology

open access: yesRemote Sensing, 2020
In this paper, we assess, in the framework of Global Navigation Satellite System (GNSS) meteorology, the accuracy of GNSS propagation delays corresponding to the Saastamoinen zenith hydrostatic delay (ZHD) model and the Vienna Mapping function VMF1/VMF3 (
Peng Feng   +4 more
doaj   +1 more source

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