Results 61 to 70 of about 732,269 (162)

Evaluation of Forecast‐Based Global GNSS Precipitable Water Vapor Retrieval Using the AI‐Based Global Weather Forecast Model

Earth and Space Science, Volume 13, Issue 8, August 2026.
Abstract Real‐time water vapor monitoring is critical for meteorological applications such as weather forecasting and nowcasting. However, accurate real‐time retrieval of precipitable water vapor (PWV) from Global Navigation Satellite Systems (GNSS) remains challenging, especially for GNSS stations lacking meteorological sensors.
Wenjie Yin, Chen Zhou, Mengyi Zhong, Xiang Wang, Rong Tian, Wei Zhang, Yin Xiao, Hua Chen, Jian Kong, Qile Zhao, Yibin Yao   +10 more
wiley   +1 more source

Auroral Amplitude Scintillations Revealed With High‐Rate Scintillation Indices From a GNSS Array

Space Weather, Volume 24, Issue 8, August 2026.
Abstract As Global Navigation Satellite Signals pass through the ionosphere, particularly at high latitudes, they can refract and diffract, resulting in a phenomenon known as scintillation. Irregularities of all scale sizes can cause scintillation to occur.
G. Blinstrubas, S. Datta‐Barua
wiley   +1 more source

Plate Divergence at the Krafla Volcanic System, Iceland: Insight From GNSS Geodesy and Sentinel‐1 Satellite Radar Interferometry in 2002–2024

Journal of Geophysical Research: Solid Earth, Volume 131, Issue 8, August 2026.
Abstract The Krafla volcanic system in Iceland, a subaerial segment of the divergent boundary between the North American and Eurasian plates, offers a unique opportunity to investigate volcano‐tectonic processes. We present a six‐segment kinematic back slip plate boundary model constrained jointly by long‐term deformation velocity fields from Global ...
Yilin Yang, Freysteinn Sigmundsson, Halldór Geirsson, Juliet Biggs, Vincent Drouin, Josefa Sepúlveda‐Araya, Sigrún Hreinsdóttir, Chiara Lanzi, Joachim Gottsmann, Taco Broerse, Sandra Verhagen   +10 more
wiley   +1 more source

3D Water Vapor Signature of Tropical Storms: GNSS Tomography of the 10 Most Severe Rainfall Events in Hong Kong 2015–2025

Journal of Geophysical Research: Atmospheres, Volume 131, Issue 13, 16 July 2026.
Abstract Monitoring water vapor during extreme events is crucial for understanding atmospheric physics, as well as for improving the prediction of severe weather and enhancing early warning systems. The major gap in monitoring water vapor during extreme events lies in the limited spatial and temporal resolutions of existing techniques.
P. Mateus, D. Hui, M. Zhang, R. Fernandes, P. M. A. Miranda   +4 more
wiley   +1 more source

AGFS: a two-step real-time tropospheric delay model by integrating GNSS, ERA5, and GFS

Geo-spatial Information Science
Tropospheric delay is a major error source in high-precision positioning with global navigation satellite systems (GNSS). However, accurately modeling tropospheric delay remains challenging, particularly for real-time applications in regions with sparse ...
Zhilu Wu, Yang Yu, Bofeng Li, Miaomiao Wang   +3 more
doaj   +1 more source

Development and evaluation of the refined zenith tropospheric delay (ZTD) models

Satellite Navigation, 2021
The tropospheric delay is a significant error source in Global Navigation Satellite System (GNSS) positioning and navigation. It is usually projected into zenith direction by using a mapping function.
Fei Yang, Xiaolin Meng, Jiming Guo, Debao Yuan, Ming Chen   +4 more
doaj   +1 more source

Unusual Enhancement of Stratospheric Ozone Observed Over the North Bay of Bengal: Results Inferred From NetRAD‐ASMA Campaigns‐2024

Earth and Space Science, Volume 13, Issue 7, July 2026.
Abstract The present study examines the roles of advection and air compression in enhancing the stratospheric ozone layer over the North Bay of Bengal during winter. The most significant and novel observation reported is an increase in the stratospheric ozone layer between 21 and 23 km, with ozone partial pressure approximately 50 nbar higher than the ...
Siddarth Shankar Das, N. Poddar, A. K. Ghosh, M. V. Ratnam, A. Paul, M. Naja, S. Abhilash, S. Bhattacharjee, S. K. Das, M. Durga Rao, P. Nandakumar, V. Rakesh, K. N. Uma, V. Veenus, K. M. V. Prasad, S. V. Sunilkumar, D. S. Raj, N. Das, G. Pandithurai, Sunil Sonwabne, U. V. Muralikrishna, K. Raghunath   +21 more
wiley   +1 more source

MSWD: A Hybrid Machine‐Learning Framework for Slant Wet Delay Modeling

Journal of Geophysical Research: Atmospheres, Volume 131, Issue 12, 28 June 2026.
Abstract Space geodetic techniques such as Global Navigation Satellite Systems (GNSS) and Very Long Baseline Interferometry (VLBI) are limited by direction‐dependent tropospheric delays, with slant wet delay (SWD) being the most variable component and a major error source.
Zhenyi Zhang, Benedikt Soja
wiley   +1 more source

GNSS Zenith Wet Delay as a Boundary Layer Diagnostic: Regime‐Dependent Turbulence Signatures From Large Eddy Simulation and Observations

Journal of Geophysical Research: Atmospheres, Volume 131, Issue 12, 28 June 2026.
Abstract Global Navigation Satellite Systems (GNSS) provide continuous measurements of zenith wet delay (ZWD), reflecting column‐integrated atmospheric water vapor. While the slowly varying ZWD is routinely assimilated in numerical weather prediction, the rapid fluctuations on timescales of seconds to minutes that arise from boundary‐layer turbulence ...
Gaël Kermarrec, Tim Schrader, Xavier Calbet, Zhiguo Deng   +3 more
wiley   +1 more source

Tropospheric delays and precipitable water vapor retrieved from global radiosonde observations from 2014 to 2019

, 2022
The data consists of a set of meteorological quantities including tropospheric delays (zenith wet delay, zenith hydrostatic delay, and zenith total delay), precipitable water vapor, and surface temperature and pressure.
Zheng Yuxin, Lu Cuixian, Wu Zhilu
core   +1 more source