Results 11 to 20 of about 347,574 (237)

A Review on Multi-GNSS for Earth Observation and Emerging Applications

open access: yesRemote Sensing, 2022
Global Navigation Satellite System (GNSS) has drawn the attention of scientists and users all over the world for its wide-ranging Earth observations and applications.
Shuanggen Jin   +2 more
doaj   +3 more sources

Estimation and Evaluation of Zenith Tropospheric Delay from Single and Multiple GNSS Observations

open access: yesRemote Sensing, 2023
Multi-Global Navigation Satellite Systems (multi-GNSS) (including GPS, BDS, Galileo, and GLONASS) provide a significant opportunity for high-quality zenith tropospheric delay estimation and its applications in meteorology.
Sai Xia, Shuanggen Jin, Xuzhan Jin
doaj   +3 more sources

GNSS meteorology in Egypt: Modeling weighted mean temperature from radiosonde data

open access: yesAlexandria Engineering Journal, 2019
This study uses 3600 radiosonde profiles obtained by experimentation from four stations situated in Egypt within 2015–2016 period and Bevis linear regression method was applied to develop a new water vapor weighted temperature (Tm).Bevis, Schueler, Yao, Liou, Suresh Raju and Wayan models performances are assessed using the Tm estimated in this study ...
Nesreen M. Elhaty   +3 more
openaire   +3 more sources

Assessment of tomographic window and sampling rate effects on GNSS water vapor tomography

open access: yesSatellite Navigation, 2023
The ground-based Global Navigation Satellite System (GNSS) water vapor tomography is increasingly important in GNSS meteorology. As the multi-GNSS and more ground-based GNSS sites can be incorporated into the regional water vapor tomographic model ...
Fei Yang   +4 more
doaj   +2 more sources

An Optimal Tropospheric Tomography Method Based on the Multi-GNSS Observations

open access: yesRemote Sensing, 2018
Aside from the well-known applications (positioning, navigation and timing) brought by Global Navigation Satellite System (GNSS), reconstruction of tropospheric atmosphere distribution information using tomography technique based on the multi-GNSS ...
Qingzhi Zhao   +4 more
doaj   +3 more sources

A New Method for Estimating Tropospheric Zenith Wet-Component Delay of GNSS Signals from Surface Meteorology Data

open access: yesRemote Sensing, 2020
A new concept is proposed for estimating the zenith wet delay (ZWD) and atmospheric weighted average temperature by inputting the temperature, total pressure, and specific humidity from surface weather data.
Pengfei Xia   +3 more
semanticscholar   +3 more sources

Analysing the Zenith Tropospheric Delay Estimates in On-line Precise Point Positioning (PPP) Services and PPP Software Packages [PDF]

open access: yesSensors, 2018
As Global Navigation Satellite System (GNSS) signals travel through the troposphere, a tropospheric delay occurs due to a change in the refractive index of the medium.
Jorge Mendez Astudillo   +3 more
doaj   +5 more sources

Use of Tropospheric Delay in GNSS-Based Climate Monitoring—A Review

open access: yesRemote Sensing
The troposphere is a key component of the Earth’s climate system, modulating weather patterns and global temperatures through intricate interactions between water vapor, atmospheric pressure, and temperature.
Aleksandra Maciejewska
doaj   +2 more sources

Improving GNSS Meteorology by Fusing Measurements of Several Colocated Receivers on the Observation Level

open access: yesIEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Zenith wet delay (ZWD) estimation is a key component for the global navigation satellite system (GNSS) meteorology. At present, the zenith hydrostatic delay can be computed with sufficient accuracy by means of empirical models, while the ZWD, which is ...
Rui Wang   +3 more
doaj   +2 more sources

Review of the Research Status and Progress of Ground-Based GNSS Meteorology

open access: yesProceedings of the International Workshop on Environment and Geoscience, 2018
: The distribution of water vapor in troposphere is very uneven and has a strong sense of temporal and spatial variation. The weather forecast requires accurate temporal and spatial information of the atmospheric humidity field.
Wengang Sang   +5 more
openaire   +2 more sources

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