Results 81 to 90 of about 1,676 (181)

GPS Coordinate Estimates by “a priori” Tropospheric Delays from NWP using Ultra-Rapid Orbits

open access: yesAnnals of Geophysics, 2006
Comparisons of high accuracy GPS positioning estimates using scientific GPS software through three different processing strategies have been done. The two Italian baselines in a time period of 5 months during 2004 made a calculus data set. For high ...
R. Santangelo   +2 more
doaj   +1 more source

Empirical Modeling of Tropospheric Delays and Uncertainty

open access: yes
Abstract. Accurate modeling of troposphere delay is important for high-precision data analysis of space geodetic techniques, such as the Global Navigation Satellite System (GNSS). The empirical troposphere delay models provide zenith delays with an accuracy of 3 to 4 cm globally and do not rely on external meteorological input.
Jungang Wang, Junping Chen, Yize Zhang
openaire   +2 more sources

Entrainment‐Based Framework for Understanding Extratropical Moist Heat Extremes

open access: yesGeophysical Research Letters, Volume 53, Issue 14, 28 July 2026.
Abstract In summer, the atmosphere over extratropical continents is close to moist convective neutrality, whereby near‐surface moist static energy, MSEs ${\text{MSE}}_{s}$, is tightly constrained by free‐tropospheric saturation moist static energy, MSE500∗ ${\text{MSE}}_{500}^{\ast }$.
R. Jha, M. P. Byrne
wiley   +1 more source

Atmospheric Noise Forcing Increases Multiyear El Niño Events

open access: yesGeophysical Research Letters, Volume 53, Issue 14, 28 July 2026.
Abstract Despite their pronounced climate impacts, the physical processes that control the frequency of multiyear El Niño events remain incompletely understood. Using an Interactive Ensemble (IE) coupling strategy, we find that atmospheric noise forcing plays an important role in modulating the frequency of multiyear El Niño events.
Keqing Bai   +4 more
wiley   +1 more source

Characterizing the Source and Formation of Gaseous Nitrated Phenolic Compounds in Urban Shanghai

open access: yesJournal of Geophysical Research: Atmospheres, Volume 131, Issue 14, 28 July 2026.
Abstract Nitrated phenolic compounds (NPs) are important components of brown carbon and contribute to the formation of HONO and OH radicals, yet their gas‐phase abundance and formation mechanisms in polluted urban environments remain poorly understood.
Jiali Zhong   +10 more
wiley   +1 more source

Understanding the Response of the Quasi‐Biennial Oscillation to Carbon Dioxide and Sea Surface Temperature Increases in Aqua‐Planet Simulations

open access: yesJournal of Geophysical Research: Atmospheres, Volume 131, Issue 13, 16 July 2026.
Abstract The Quasi‐Biennial Oscillation (QBO) of the tropical stratospheric zonal winds influences tracer transport, the stratospheric polar vortex, and extra‐tropical surface variability. However, the response of the QBO to increasing greenhouse gas concentrations is still uncertain.
A. M. Johnson   +2 more
wiley   +1 more source

Multi-GNSS-Weighted Interpolated Tropospheric Delay to Improve Long-Baseline RTK Positioning. [PDF]

open access: yesSensors (Basel), 2022
Mirmohammadian F   +3 more
europepmc   +1 more source

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

open access: yesJournal 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   +4 more
wiley   +1 more source

How to Predict the Phase Shift of “Warm Arctic–Cold Eurasia” Pattern Between Early and Late Winter?

open access: yesJournal of Geophysical Research: Atmospheres, Volume 131, Issue 13, 16 July 2026.
Abstract The “Warm Arctic−Cold Eurasia” (WACE) pattern frequently undergoes distinct phase reversals between early and late winter, posing significant challenges for climate prediction. Current state‐of‐the‐art real‐time prediction models exhibit limited skill in forecasting WACE reversals, and the main reason is poor representation of key atmospheric ...
Zhicong Yin, Tianbao Xu
wiley   +1 more source

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