Results 31 to 40 of about 150 (129)
High-spatial-resolution mapping of precipitable water vapour using SAR interferograms, GPS observations and ERA-Interim reanalysis [PDF]
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
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 +3 more
wiley +1 more source
Three‐Year Characterization of Boundary Layer Dynamics From GNSS Zenith Wet Delay Spectral Analysis
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 +2 more
wiley +1 more source
Accurate priori tropospheric knowledge is advantageous for Global Navigation Satellite System (GNSS) precise point positioning (PPP), which significantly influences both convergence time and the accuracy of tropospheric delay estimations.
Yuanfan Deng +7 more
doaj +1 more source
THE DETERMINATION OF ATMOSPHERIC WATER CONTENT FROM METEOROLOGICAL AND GPS DATA
The Global Positioning System (GPS) based on satellites and the networks of dual frequency receivers are actively used for geodetic and geophysical applications, as well as for studying the ionosphere and troposphere.
O. F. Lukhneva +2 more
doaj +1 more source
GRENet: GNSS‐Enhanced Radar Extrapolation Network for Precipitation Nowcasting
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 +7 more
wiley +1 more source
The Global Navigation Satellite System (GNSS) is commonly recognized by its all-weather capability. However, observations depend on atmospheric conditions which requires the induced tropospheric delay to be estimated as an unknown parameter.
Paweł Hordyniec +3 more
doaj +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]
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
NSF NCAR's In Situ Sensing Facility Measurement System During the Sundowner Wind EXperiment (SWEX)
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 +9 more
wiley +1 more source
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 +5 more
doaj +1 more source

