Results 41 to 50 of about 200 (130)

Tropospheric delay performance for GNSS integrated water vapor estimation by using GPT2w model, ECMWF's IFS operational model and in situ meteorological data [PDF]

open access: yesAdvances in Geosciences, 2018
Tropospheric delay comprises one of the most important error sources in satellite navigation and is caused when radio signals broadcasted by GPS satellites propagate into the atmosphere.
C. Oikonomou   +10 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

open access: yesJournal 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   +3 more
wiley   +1 more source

Weighted Mean Temperature Hybrid Models in China Based on Artificial Neural Network Methods

open access: yesRemote Sensing, 2022
The weighted mean temperature (Tm) is crucial for converting zenith wet delay to precipitable water vapor in global navigation satellite system meteorology.
Meng Cai   +6 more
doaj   +1 more source

Major Melting Event on the Ross Ice Shelf, Antarctica, Connected With Enhanced Atmospheric Turbulence

open access: yesGeophysical Research Letters, Volume 53, Issue 5, 16 March 2026.
Abstract The Ross Ice Shelf (RIS) in West Antarctica experienced extensive surface melting in January 2016, driven by warm humid air transported from over the Southern Ocean. Few studies have reported increased atmospheric water vapor and turbulent mixing during this event in this region, where the availability of surface measurements is challenging ...
Dhiman R. Mondal   +3 more
wiley   +1 more source

PPP‐RTK Atmospheric Correction Generation and Service Applicability: A Case Study During Typhoon Saola and Moderate Geomagnetic Disturbances in Hong Kong

open access: yesSpace Weather, Volume 24, Issue 3, March 2026.
Abstract Complex space weather, such as typhoons and solar activity, can cause heavy rainfall and ionospheric disturbances, affecting the quality of Global Navigation Satellite System (GNSS) signals. Among GNSS positioning techniques, Precise Point Positioning Real‐time Kinematic (PPP‐RTK) uses atmospheric corrections and bias products to achieve fast ...
Jiahuan Hu   +6 more
wiley   +1 more source

Applying the Water Vapor Radiometer to Verify the Precipitable Water Vapor Measured by GPS

open access: yesTerrestrial, Atmospheric and Oceanic Sciences, 2014
Taiwan is located at the land-sea interface in a subtropical region. Because the climate is warm and moist year round, there is a large and highly variable amount of water vapor in the atmosphere.
Ta-Kang Yeh   +4 more
doaj   +1 more source

Analysis of Crustal Deformation Due to Ocean Tide Loading [PDF]

open access: yesJournal of Astronomy and Space Sciences, 2007
The crustal deformation due to Ocean Tide Loading (OTL) in the Korean peninsula reaches up to ˜3 cm in the vertical direction. Considering that the achievable positioning accuracy of current state-of-the-art space geodesy technologies is at the several ...
Kwan-Dong Park   +3 more
doaj   +1 more source

Capturing Extreme Water Vapor and Instability With High‐Resolution GNSS Monitoring

open access: yesAtmospheric Science Letters, Volume 27, Issue 2, February 2026.
This study used data from a high‐resolution Global Navigation Satellite System network (< 10 km spacing), including private stations, to analyze water vapor structure during a heavy rainfall event in Japan. The network captured localized extreme precipitable water vapor (> 70 mm) and a moist absolutely unstable layer near the humid core.
Mikiko Fujita
wiley   +1 more source

Neural Network–Based Precipitable Water Vapor Estimation Integrating Ground Observations and GFS Data

open access: yesAdvances in Meteorology, Volume 2026, Issue 1, 2026.
Precipitable water vapor (PWV) is a critical factor in precipitation formation, the hydrological cycle, and climate change. In this study, a neural network–based PWV estimation model was established using near‐surface meteorological observation and numerical weather prediction (NWP) products.
Chenghua Xie, Pramita Mishra
wiley   +1 more source

Atmospheric Water Vapor and Precipitation Coupling in Southwestern South America

open access: yesGeophysical Research Letters, Volume 52, Issue 24, 28 December 2025.
Abstract Most studies linking atmospheric water vapor and precipitation emphasize short records, tropical regions, or the Northern Hemisphere. Long‐term variability of water vapor and its coupling with precipitation remain poorly understood across strong latitudinal and climatic gradients.
Raúl Valenzuela   +2 more
wiley   +1 more source

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