Results 41 to 50 of about 176 (131)
Zenith wet delay retrieval using two different techniques for the South American region and their comparison [PDF]
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
A Window‐Augmented Machine Learning Approach for Direct GNSS Precipitable Water Vapor Retrieval
Abstract Global Navigation Satellite Systems (GNSS) provide an effective means for remote sensing of precipitable water vapor (PWV). However, conventional GNSS‐based PWV retrieval approaches rely heavily on auxiliary meteorological parameters, which are frequently unavailable in real time, while most direct retrieval methods use station data aggregated
Zhouao Zheng +7 more
wiley +1 more source
Performance Evaluation of Blind Tropospheric Delay correction Models over Africa [PDF]
Tropospheric delay is a major error source in positioning by Global Navigation Satellite Systems (GNSS). Many techniques are available for tropospheric delay mitigation consisting of surface meteorological models and global empirical models.
Combrinck, Ludwig +2 more
core +2 more sources
Abstract Accurate representation of atmospheric water vapor is crucial for improving numerical weather prediction, particularly over regions with complex topography and sparse observation networks. Although assimilation of Global Navigation Satellite System (GNSS)‐derived integrated products such as zenith total delay or precipitable water vapor can ...
Arash Tayfehrostami +3 more
wiley +1 more source
Abstract Complex space weather, such as typhoons and solar activity, can cause heavy rainfall and ionospheric disturbances, affecting the quality of Global Navigation Satellite System (GNSS) signals. Among GNSS positioning techniques, Precise Point Positioning Real‐time Kinematic (PPP‐RTK) uses atmospheric corrections and bias products to achieve fast ...
Jiahuan Hu +6 more
wiley +1 more source
Capturing Extreme Water Vapor and Instability With High‐Resolution GNSS Monitoring
This study used data from a high‐resolution Global Navigation Satellite System network (< 10 km spacing), including private stations, to analyze water vapor structure during a heavy rainfall event in Japan. The network captured localized extreme precipitable water vapor (> 70 mm) and a moist absolutely unstable layer near the humid core.
Mikiko Fujita
wiley +1 more source
Atmospheric Water Vapor and Precipitation Coupling in Southwestern South America
Abstract Most studies linking atmospheric water vapor and precipitation emphasize short records, tropical regions, or the Northern Hemisphere. Long‐term variability of water vapor and its coupling with precipitation remain poorly understood across strong latitudinal and climatic gradients.
Raúl Valenzuela +2 more
wiley +1 more source
Tropospheric Propagation Effects Extracted From ADS‐B Messages
This study explores the use of ADS‐B messages to estimate tropospheric effects, effectively isolating atmospheric influences from interference. The approach enables independent lower atmosphere studies and offers a cost‐free supplementary method for satellite applications, benefiting GNSS systems, especially at low elevation angles where multipath and ...
Alina‐Mihaela Badescu
wiley +1 more source
GPS monitoring of the tropical storm delta along the Canary Islands track, November 28-29, 2005 [PDF]
In this article we analyze the variations of the Zenith Tropospheric Delay (ZTD) and its components, Zenith Hydrostatic Delay (ZHD) and Zenith Wet Delay (ZWD) recorded by the GPS reference stations in the area of the Canary Islands during the passing of ...
Yagüe, C. +13 more
core +1 more source
Abstract Atmospheric water vapor is an important factor in the formation and evolution of extreme weather events, such as heavy rainfall, typhoons, and major droughts and floods. We analyzed the applicability of precipitable water vapor (PWV) values from the Global Navigation Satellite System Meteorology (GNSS/MET) stations in northeastern China.
Yang Liu +5 more
wiley +1 more source

