Results 11 to 20 of about 221 (150)

A Regional Model for Predicting Tropospheric Delay and Weighted Mean Temperature in China Based on GRAPES_MESO Forecasting Products

Remote Sensing, 2021
Accurate tropospheric delay (TD) and weighted mean temperature (Tm) are important for Global Navigation Satellite System (GNSS) positioning and GNSS meteorology.
Liying Cao, Bao Zhang, Junyu Li, Yibin Yao, Lilong Liu, Qishun Ran, Zhaohui Xiong   +6 more
doaj   +2 more sources

Effects of the High-Order Ionospheric Delay on GPS-Based Tropospheric Parameter Estimations in Turkey

Remote Sensing, 2020
The tropospheric delay and gradients can be estimated using Global Positioning System (GPS) observations after removing the ionospheric delay, which has been widely used for atmospheric studies and forecasting.
Volkan Akgul, Gokhan Gurbuz, Senol Hakan Kutoglu, Shuanggen Jin   +3 more
doaj   +2 more sources

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

Remote 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, Jingchao Xia, Shirong Ye, Caijun Xu   +3 more
doaj   +2 more sources

ZWDX: a global zenith wet delay forecasting model using XGBoost [PDF]

Earth, Planets and Space
Tropospheric delays play a crucial role for Global Navigation Satellite Systems (GNSS). They are a major error source in GNSS positioning and, at the same time, also a variable of interest in GNSS meteorology.
Laura Crocetti, Matthias Schartner, Marcus Franz Wareyka-Glaner, Konrad Schindler, Benedikt Soja   +4 more
doaj   +3 more sources

Use of GNSS Tropospheric Delay Measurements for the Parameterization and Validation of WRF High-Resolution Re-Analysis over the Western Gulf of Corinth, Greece: The PaTrop Experiment

Remote Sensing, 2021
In the last thirty years, Synthetic Aperture Radar interferometry (InSAR) and the Global Navigation Satellite System (GNSS) have become fundamental space geodetic techniques for mapping surface deformations due to tectonic movements.
Nikolaos Roukounakis, Dimitris Katsanos, Pierre Briole, Panagiotis Elias, Ioannis Kioutsioukis, Athanassios A. Argiriou, Adrianos Retalis   +6 more
doaj   +2 more sources

Retrieving Precipitable Water Vapor from Real-Time Precise Point Positioning Using VMF1/VMF3 Forecasting Products

Remote Sensing, 2021
Real-time precise point positioning (RT-PPP) has become a powerful technique for the determination of the zenith tropospheric delay (ZTD) over a GPS (global positioning system) or GNSS (global navigation satellite systems) station of interest, and the ...
Peng Sun, Kefei Zhang, Suqin Wu, Moufeng Wan, Yun Lin   +4 more
doaj   +3 more sources

Improving GNSS precise point positioning with tropospheric constraints from data-driven numerical weather prediction model

Geo-spatial Information Science
Accurate priori tropospheric knowledge is advantageous for Global Navigation Satellite System (GNSS) precise point positioning (PPP), which significantly influences both convergence time and the accuracy of tropospheric delay estimations.
Yuanfan Deng, Wu Chen, Junsheng Ding, Ahmed El-Mowafy, Duojie Weng, Long Tang, Lei Bai, Xiaolong Mi   +7 more
doaj   +2 more sources

A Selective State-Space-Model Based Model for Global Zenith Tropospheric Delay Prediction

Remote Sensing
The Zenith Tropospheric Delay (ZTD) is a significant atmospheric error affecting the accuracy of the Global Navigation Satellite System (GNSS). Accurate estimation of the ZTD is essential for enhancing GNSS positioning precision and plays a critical role
Cong Yang, Xu Lin, Zhengdao Yuan, Lunwei Zhao, Jie Zhao, Yashi Xu, Jun Zhao, Yakun Han   +7 more
doaj   +2 more sources

Residuals of Tropospheric Delays from GNSS Data and Ray-Tracing as a Potential Indicator of Rain and Clouds

Remote Sensing, 2018
The Global Navigation Satellite System (GNSS) is commonly recognized by its all-weather capability. However, observations depend on atmospheric conditions which requires the induced tropospheric delay to be estimated as an unknown parameter.
Paweł Hordyniec, Jan Kapłon, Witold Rohm, Maciej Kryza   +3 more
doaj   +2 more sources

Methods and Evaluation of AI-Based Meteorological Models for Zenith Tropospheric Delay Prediction

Remote Sensing
Zenith Tropospheric Delay (ZTD) is a significant error source affecting the accuracy of certain space geodetic measurements. This study evaluates the performance of Artificial Intelligence (AI) based meteorological models, such as Fengwu and Pangu, in ...
Si Xiong, Jiamu Mei, Xinchuang Xu, Ziyu Shen, Liangke Huang   +4 more
doaj   +2 more sources