Results 41 to 50 of about 221 (150)

Accuracy Analysis of Real-Time Precise Point Positioning—Estimated Precipitable Water Vapor under Different Meteorological Conditions: A Case Study in Hong Kong

Atmosphere, 2023
Precipitable water vapor (PWV) monitoring with real-time precise point positioning (PPP) is required for the improved early detection of increasingly common extreme weather occurrences. This study takes Hong Kong as the research object.
Ying Xu, Lin Ma, Fangzhao Zhang, Xin Chen, Zaozao Yang   +4 more
doaj   +1 more source

Zenith wet delay retrieval using two different techniques for the South American region and their comparison [PDF]

, 2021
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, Brunini, Claudio Antonio, Azpilicueta, Francisco Javier, Calori, A., Colosimo, G., Mackern, M. V., Gende, Mauricio Alfredo, Rizos, Chris, Willis, Pascal   +8 more
core  

High-spatial-resolution mapping of precipitable water vapour using SAR interferograms, GPS observations and ERA-Interim reanalysis [PDF]

Atmospheric Measurement Techniques, 2016
A high spatial and temporal resolution of the precipitable water vapour (PWV) in the atmosphere is a key requirement for the short-scale weather forecasting and climate research.
W. Tang, M. Liao, L. Zhang, W. Li, W. Yu
doaj   +1 more source

Three‐Year Characterization of Boundary Layer Dynamics From GNSS Zenith Wet Delay Spectral Analysis

Atmospheric Science Letters, Volume 27, Issue 6, June 2026.
Three years of GNSS zenith wet delay observations at Payerne reveal that spectral parameters—cutoff frequency α and variance σ2—capture robust seasonal cycles in boundary layer turbulence (R2 = 0.54 for α). Their inverse coupling tightens to r = −0.82 under summer convection, encoding regime‐dependent physics.
Gaël Kermarrec, Xavier Calbet, Zhiguo Deng   +2 more
wiley   +1 more source

GRENet: GNSS‐Enhanced Radar Extrapolation Network for Precipitation Nowcasting

Geophysical Research Letters, Volume 53, Issue 10, 28 May 2026.
Abstract Accurate precipitation nowcasting is one of the most challenging tasks in atmospheric sciences. The current methods of nowcasting primarily rely on inferring precipitation from radar reflectivity, which inevitably leads to uncertainties in forecasts due to the limitations of single radar data in capturing the detailed initial conditions of ...
Cuixian Lu, Quanfei Wang, Yuxin Zheng, Xiaohong Zhang, Jiafeng Li, Xuanzhen Zhang, Galina Dick, Jonathan Jones   +7 more
wiley   +1 more source

NSF NCAR's In Situ Sensing Facility Measurement System During the Sundowner Wind EXperiment (SWEX)

Geoscience Data Journal, Volume 13, Issue 2, April 2026.
This paper details the Sundowner Wind Experiment (SWEX) datasets, which characterize downslope winds to advance understanding of boundary layer processes and improve wildfire research and forecasting. The comprehensive, quality‐controlled data from various atmospheric observational platforms will be invaluable for future multidisciplinary research ...
Jacquelyn C. Witte, William Brown, Leila Carvalho, Terry Hock, Steven Oncley, Matthew Paulus, Christopher Roden, John Sobtzak, Isabel Suhr, Holger Vömel   +9 more
wiley   +1 more source

Comparisons between the WRF data assimilation and the GNSS tomography technique in retrieving 3-D wet refractivity fields in Hong Kong [PDF]

Annales Geophysicae, 2019
Water vapor plays an important role in various scales of weather processes. However, there are limited means to accurately describe its three-dimensional (3-D) dynamical changes. The data assimilation technique and the Global Navigation Satellite System (
Z. Xiong, B. Zhang, Y. Yao
doaj   +1 more source

A Window‐Augmented Machine Learning Approach for Direct GNSS Precipitable Water Vapor Retrieval

Journal of Geophysical Research: Machine Learning and Computation, Volume 3, Issue 2, April 2026.
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, Haoyu Wang, Liangke Huang, Ziwei Li, Haojun Li, Hongxing Zhang, Junyu Li, Lilong Liu   +7 more
wiley   +1 more source

A Novel Enhancement of the MIMIC Remote Sensing Water Vapor Product and Its Application in GNSS Positioning

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Tropospheric delay plays a crucial role in global navigation satellite systems (GNSS) positioning, climate monitoring, and weather forecasting. In particular, in high-precision GNSS applications such as precise point positioning (PPP), prior tropospheric
Ranran Jia, Yan Xu, Nan Jiang, Zeqi Li, Tianhe Xu, Harald Schuh   +5 more
doaj   +1 more source

TOMO4D Operator for Assimilation of GNSS Tomography‐Derived Water Vapor Fields Into the WRFDA 4DVAR System to Improve Regional Rainfall Forecasting

Journal of Advances in Modeling Earth Systems, Volume 18, Issue 4, April 2026.
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, Yazdan Amerian, Saeed Izanlou, Majid Azadi   +3 more
wiley   +1 more source