Results 101 to 110 of about 936 (224)
Prediction Efficiency Skill Scores for Event Detection Analysis
Space Weather, Volume 24, Issue 6, June 2026.Abstract Prediction efficiency (PE) is a skill score that compares the data‐model metric of mean square error against the variance of the observations (i.e., using the average of the observed values as the “reference model” in the general skill score formula).
Michael W. Liemohn +3 more
wiley +1 more source
Influence of Ionospheric Irregularities on GNSS Remote Sensing
Advances in Meteorology, 2015 We have used numerical simulation to study the effects of ionospheric irregularities on accuracy of global navigation satellite system (GNSS) measurements, using ionosphere-free (in atmospheric research) and geometry-free (in ionospheric research) dual ...
M. V. Tinin
doaj +1 more source
Atmospheric water vapor maps generations from stochastic interpolation of GNSS Zenith Tropospheric Delays [PDF]
, 2023 LAUREA MAGISTRALEIl monitoraggio degli eventi meteorologici nella moderna meteorologia richiede l'uso di tecniche avanzate, con I sistemi globali di navigazione satellitare (GNSS) che stanno emergendo come una soluzione importante.
ABDELGAFAR, OMAR SAYED MOSTAFA
core
A dense GNSS meteorological network for observing deep convection in the Amazon
Atmospheric Science Letters, 2011 AbstractA dense Global Navigation Satellite System (GNSS) meteorological network (∼20 stations) in the central Amazon Basin in Brazil is being developed for long‐term studies of deep convection/water vapor interactions and feedback. In this article, the network is described and preliminary results are presented: GNSS‐derived precipitable water vapor is
Adams, David K. +11 more
openaire +3 more sources
Journal of Geophysical Research: Space Physics, Volume 131, Issue 6, June 2026.Abstract A balloon borne Fabry Perot interferometer called High altitude Interferometer WIND observation (HIWIND) flew from Wanaka, New Zealand (44.69S, 169.14E) in April 2025 to observe mid‐latitude thermospheric winds in the southern hemisphere for the first time.
Qian Wu, Haonan Wu, Wenbin Wang
wiley +1 more source
Radio Science, Volume 61, Issue 6, June 2026.Abstract The ionosphere imposes coupled amplitude, phase, and polarization distortions on trans‐ionospheric Global Navigation Satellite System (GNSS) signals, reflecting the structure and dynamics of electron‐density irregularities. Classical weak‐scatter theory provides a mature framework for interpreting amplitude and phase scintillation, but these ...
T. Durgonics, S. S. Beeck
wiley +1 more source
Calibration and Fusion of GOLD‐Inferred TEC Data With Ground‐Based TEC
Space Weather, Volume 24, Issue 6, June 2026.Abstract Ground‐based Global Navigation Satellite System (GNSS) receivers provide primary total electron content (TEC) measurements used to monitor ionospheric variability, yet their sparse distribution over oceanic and equatorial regions limits global coverage and model accuracy.
Maria Smirnova +4 more
wiley +1 more source
Sensors, 2018 As Global Navigation Satellite System (GNSS) signals travel through the troposphere, a tropospheric delay occurs due to a change in the refractive index of the medium.
Jorge Mendez Astudillo +3 more
doaj +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 +7 more
wiley +1 more source
GNSS tropospheric products at 40 ground-based GNSS stations in New Zealand (2022_01)
, 2023 With the rapid development of the advanced ground-based Global Navigation Satellite Systems (GNSS) tropospheric sounding technique in recent decades, it has offered unprecedented opportunities for atmospheric information acquisition.
Li, Haobo, Wang, Xiaoming
core +1 more source