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A Regional Zenith Tropospheric Delay (ZTD) Model Based on GPT3 and ANN [PDF]

Remote Sensing, 2021
The delays of radio signals transmitted by global navigation satellite system (GNSS) satellites and induced by neutral atmosphere, which are usually represented by zenith tropospheric delay (ZTD), are required as critical information both for GNSS ...
Fei Yang, Jiming Guo, Chaoyang Zhang, Yitao Li, Jun Li   +4 more
doaj   +3 more sources

Comprehensive Analysis of the Global Zenith Tropospheric Delay Real-Time Correction Model Based GPT3

Atmosphere, 2023
To obtain a higher accuracy for the real-time Zenith Tropospheric Delay (ZTD), a refined tropospheric delay correction model was constructed by combining the tropospheric delay correction model based on meteorological parameters and the GPT3 model.
Jian Chen, Yushuang Jiang, Ya Fan, Xingwang Zhao, Chao Liu   +4 more
doaj   +3 more sources

Assessment of Empirical Troposphere Model GPT3 Based on NGL’s Global Troposphere Products [PDF]

Sensors, 2020
Tropospheric delay is one of the major error sources in GNSS (Global Navigation Satellite Systems) positioning. Over the years, many approaches have been devised which aim at accurately modeling tropospheric delays, so-called troposphere models.
Junsheng Ding, Junping Chen
doaj   +4 more sources

A Refined Zenith Tropospheric Delay Model Based on a Generalized Regression Neural Network and the GPT3 Model in Europe

Atmosphere, 2023
An accurate model of the Zenith Tropospheric Delay (ZTD) plays a crucial role in Global Navigation Satellite System (GNSS) precise positioning, water vapor retrieval, and meteorological research. Current empirical models (such as the GPT3 model) can only
Min Wei, Xuexiang Yu, Fuyang Ke, Xiangxiang He, Keli Xu   +4 more
doaj   +3 more sources

A Calibrated GPT3 (CGPT3) Model for the Site-Specific Zenith Hydrostatic Delay Estimation in the Chinese Mainland and Its Surrounding Areas

Remote Sensing, 2022
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, Feijuan Li, Lilong Liu, Liangke Huang, Lv Zhou, Hongchang He   +5 more
doaj   +3 more sources

Forecasting GNSS Zenith Troposphere Delay by Improving GPT3 Model with Machine Learning in Antarctica [PDF]

Atmosphere, 2022
Antarctica has a significant impact on global climate change. However, to draw climate change scenarios, there is a need for meteorological data, such as water vapor content, which is scarce in Antarctica.
Song Li, Tianhe Xu, Yan Xu, Nan Jiang, Luísa Bastos   +4 more
doaj   +3 more sources

The New Improved ZHD and Weighted Mean Temperature Models Based on GNSS and Radiosonde Data Using GPT3 and Fourier Function

Atmosphere, 2022
Compared to the zenith hydrostatic delay (ZHD) obtained from the Saastamonien model based on in-situ measured meteorological (IMM) data and radiosonde-derived weighted mean temperature (Tm), the ZHD and Tm deviations of the GPT3 model have shown obvious ...
Li Li, Ying Gao, Siyi Xu, Houxian Lu, Qimin He, Hang Yu   +5 more
doaj   +3 more sources

A zenith wet delay improved model in China based on GPT3 and random forest

Geodesy and Geodynamics
Zenith wet delay (ZWD) is a key parameter for the precise positioning of global navigation satellite systems (GNSS) and occupies a central role in meteorological research.
Shaoni Chen, Chunhua Jiang, Xiang Gao, Huizhong Zhu, Shuaimin Wang, Guangsheng Liu   +5 more
doaj   +3 more sources

GNSS-retrieved precipitable water vapour in the Atlantic coast of France and Spain with GPT3 model

Acta Geodaetica et Geophysica, 2023
AbstractWater vapour is a critical atmospheric parameter to understand the Earth's climate system and it is characterized by a complex variability in time and space. GNSS observations have become an important source of information of the water vapour, thanks to its high temporal and spatial resolution.
Raquel Perdiguer-Lopez, José Luis Berne Valero, Natalia Garrido-Villen   +2 more
openaire   +4 more sources

TransXLT: A novel ZTD prediction method with SASR-based data reconstruction [PDF]

iScience
Summary: Traditional Zenith Tropospheric Delay (ZTD) models often face difficulties in maintaining prediction accuracy under complex meteorological conditions and data loss.
Shicheng Xie, Xuexiang Yu, Jiajia Yuan, Xu Yang, Mingfei Zhu, Yuchen Han, Min Wei, Zhongchen Guo   +7 more
doaj   +2 more sources