Results 61 to 70 of about 1,086,410 (154)
The Effects of Higher-Order Ionospheric Terms on GPS Tropospheric Delay and Gradient Estimates
Atmospheric delays, e.g., ionospheric delay and tropospheric delay, are the dominant error sources for the Global Navigation Satellite System (GNSS), especially for Precise Point Positioning (PPP).
Zhiyu Zhang, Fei Guo, Xiaohong Zhang
doaj +1 more source
Abstract The Ross Ice Shelf (RIS) in West Antarctica experienced extensive surface melting in January 2016, driven by warm humid air transported from over the Southern Ocean. Few studies have reported increased atmospheric water vapor and turbulent mixing during this event in this region, where the availability of surface measurements is challenging ...
Dhiman R. Mondal +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
Coastal global navigation satellite system (GNSS) ZWD
The crossovers between global 132 GNSS derived Zenith Wet Delay (ZWD), ranging and HY-2A from January 2017 to ...
Wu, Zhilu
core +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
Empirical model for mean temperature for Indian zone and estimation of precipitable water vapor from ground based GPS measurements [PDF]
Estimation of precipitable water (PW) in the atmosphere from ground-based Global Positioning System (GPS) essentially involves modeling the zenith hydrostatic delay (ZHD) in terms of surface Pressure (Ps) and subtracting it from the corresponding ...
C. Suresh Raju +3 more
doaj +1 more source
Precipitable water vapor (PWV) is a critical factor in precipitation formation, the hydrological cycle, and climate change. In this study, a neural network–based PWV estimation model was established using near‐surface meteorological observation and numerical weather prediction (NWP) products.
Chenghua Xie, Pramita Mishra
wiley +1 more source
Accurate precipitable water vapour (PWV) estimates are essential for weather forecasting, climate monitoring, and hydrological applications, particularly across observation‐sparse regions. This study presents a continental‐scale validation of PWV derived from the Vienna Mapping Function 3 (VMF3) tropospheric products and the fifth‐generation ECMWF ...
Samuel Osah +14 more
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

