Results 31 to 40 of about 1,086,410 (154)

Evaluation of Kinematic GNSS PPP for Tropospheric Zenith Wet Delay Estimation in Mountainous Regions

open access: yes, 2021
In this research, the effectiveness of kinematic zenith wet delay (ZWD) estimation using global navigation satellite systems (GNSS) precise point positioning (PPP) techniques is evaluated.
Gratton, Paul Thomas
core   +1 more source

Development of a global model for zenith wet delays based on the random forest approach [PDF]

open access: yes, 2022
Tropospheric delays have been a major error source for space geodetic techniques and the performance of their modeling is significantly limited due to the high spatiotemporal variability of the moisture in the lower atmosphere.
Böhm, Johannes; orcid:   +3 more
core   +1 more source

THE DETERMINATION OF ATMOSPHERIC WATER CONTENT FROM METEOROLOGICAL AND GPS DATA

open access: yesГеодинамика и тектонофизика, 2016
The Global Positioning System (GPS) based on satellites and the networks of dual frequency receivers are actively used for geodetic and geophysical applications, as well as for studying the ionosphere and troposphere.
O. F. Lukhneva   +2 more
doaj   +1 more source

Selecting ERA5 Grid Spacing for GNSS Tropospheric Parameters over China

open access: yesAtmosphere
ERA5 is the fifth-generation atmospheric reanalysis from the European Centre for Medium-Range Weather Forecasts. It combines observations with a weather model to reconstruct past atmospheric conditions.
Ziyang Ding   +4 more
doaj   +1 more source

Complete data and Results of Bi-LSTM for ZWD

open access: yes, 2021
These are the full results from "Predicting Sub-daily Zenith Wet Delay using Bidirectional Long Short-Term Memory" for the selected 505 stations. They are divided into: 1- Data for the 505 stations containing the date and the ZWD for each stations during
Mohammed, Jareer
core   +1 more source

Zenith wet delay retrieval using two different techniques for the South American region and their comparison [PDF]

open access: yes, 2021
Retrieving atmospheric water vapor content using GNSS claimed the attention of the geodetic community ever since the beginning of the GPS deployment. The main purpose of the present work is to propose a comparison of the Zenith Wet Delay (ZWD) retrieved ...
Crespi, Mattia   +8 more
core  

Assimilation of 5G Base Station Networks as Ultra‐Dense Atmospheric Sensors for Advancing Heavy Rainfall Prediction

open access: yesGeophysical Research Letters, Volume 53, Issue 20, 28 October 2026.
Abstract The zenith total delay (ZTD) retrieved from 5G communication base stations represents a novel observation source for numerical weather prediction (NWP), leveraging the extensive global deployment of 5G infrastructure. In this study, the direct assimilation of 5G‐ZTD observations into a high‐resolution NWP system was accomplished for the first ...
Jian Yin   +5 more
wiley   +1 more source

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   +1 more source

Optimization of GPS water vapor tomography technique with radiosonde and COSMIC historical data [PDF]

open access: yesAnnales Geophysicae, 2016
The near-real-time high spatial resolution of atmospheric water vapor distribution is vital in numerical weather prediction. GPS tomography technique has been proved effectively for three-dimensional water vapor reconstruction.
S. Ye, P. Xia, C. Cai
doaj   +1 more source

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   +1 more source

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