Results 61 to 70 of about 150 (129)

ZWDX: a global zenith wet delay forecasting model using XGBoost

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   +1 more source

Multi-Global Navigation Satellite System (GNSS) real-time tropospheric delay retrieval based on state-space representation (SSR) products from different analysis centers [PDF]

Annales Geophysicae
The troposphere plays an important role in a range of weather and various climate changes. With the development of the Global Navigation Satellite System (GNSS), the zenith tropospheric delay (ZTD) retrieval using GNSS technology has become a popular ...
W. Yao, H. Huang, X. Ma, Q. Zhang, Y. Yao, X. Lin, Q. Zhao, Y. Huang   +7 more
doaj   +1 more source

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   +1 more source

A high-precision zenith tropospheric delay forecasting model using ET-based spatial interpolation compensation and CNN-LSTM multi-step time series prediction

Abstract Zenith Tropospheric Delay (ZTD) plays a vital role in high-precision navigation, positioning and precipitable water vapor retrieval using the Global Navigation Satellite System (GNSS). Based on the ERA5 data and hourly ZTD data provided by the Crustal Movement Observation Network of China (CMONOC) from 2011 to 2018, along with ...
Jiahao Zhang, Qin Liang, Yunqing Huang
openaire   +1 more source

Performance evaluation of near real-time GNSS precipitable water vapor retrieval using ultra-rapid ephemerides and SSR products

Frontiers in Astronomy and Space Sciences
IntroductionPrecipitable water vapor (PWV) is an important parameter for characterizing the spatiotemporal variability of atmospheric water vapor.
Feiyang Hu, Feiyang Hu, Feiyang Hu, Biyan Chen, Biyan Chen, Biyan Chen, Ning Huang, Ning Huang, Tiezhu Li, Tiezhu Li, Chaohui Chen, Chaohui Chen   +11 more
doaj   +1 more source

An Interferometric Synthetic Aperture Radar Tropospheric Delay Correction Method Based on a Global Navigation Satellite System and a Backpropagation Neural Network: More Suitable for Areas with Obvious Terrain Changes. [PDF]

Sensors (Basel), 2023
Qiu L, Chen P, Yao Y, Chen H, Tang F, Xiong M.   +5 more
europepmc   +1 more source

Numerical Simulation of a Heavy Rainfall Event in Sichuan Using CMONOC Data Assimilation

Remote Sensing
This study evaluates the impact of assimilating the Crustal Movement Observation Network of China (CMONOC) global navigation satellite system (GNSS) tropospheric products on heavy-rainfall simulation over the complex terrain of the Sichuan Basin.
Xu Tang, Cheng Zhang, Angdao Wu, Rui Sun, Jiayan Liu   +4 more
doaj   +1 more source

Assessment of ZTD Derived from COSMIC Occultation Data with ECWMF, Radiosondes, and GNSS. [PDF]

Sensors (Basel), 2022
Fu N, Jiang M, Li F, Guo P, Hou C, Wu M, Wu J, Wang Z, Kan L.   +8 more
europepmc   +1 more source

A New PatchTST-ZTD Forecasting Model Based on Different Global Climates and Its Performance in PPP

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Accurate modeling of zenith tropospheric delay (ZTD) is crucial for real-time high-precision positioning in global navigation satellite systems (GNSS). Deep learning methods are capable of effectively capturing the complex temporal patterns of ZTD time ...
Zhiping Chen, Hao Lu, Chiming Xu, Tao Liu, Haifeng Liu, Yu Gao, Haijun Yuan, Puhao Xu, Haiqing He, Kaiyun Lv   +9 more
doaj   +1 more source

Estimating daily potential evapotranspiration using GNSS-based precipitable water vapor. [PDF]

Heliyon, 2023
Pipatsitee P, Ninsawat S, Tripathi NK, Shanmugam M, Chitsutti P.   +4 more
europepmc   +1 more source