Results 41 to 50 of about 221,487 (235)

Kinematic Zenith Tropospheric Delay Estimation with GNSS PPP in Mountainous Areas

open access: yesSensors, 2021
The use of global navigation satellite systems (GNSS) precise point positioning (PPP) to estimate zenith tropospheric delay (ZTD) profiles in kinematic vehicular mode in mountainous areas is investigated.
Paul Gratton   +3 more
doaj   +1 more source

Characterization of site-specific GPS errors using a short-baseline network of braced monuments at Yucca Mountain, southern Nevada [PDF]

open access: yes, 2009
We use a short-baseline network of braced monuments to investigate site-specific GPS effects. The network has baseline lengths of ∼10, 100, and 1000 m. Baseline time series have root mean square (RMS) residuals, about a model for the seasonal cycle, of 0.
Davis, James L.   +5 more
core   +2 more sources

Impact of GNSS zenith total delay assimilation on the numerical weather model tropospheric delay parameters

open access: yes, 2023
The 28th IUGG General Assembly (IUGG2023) (Berlin 2023)
Zus, Florian   +4 more
openaire   +3 more sources

GNSS-based zenith total delays observed during the MOSAiC Campaign 2019-2020

open access: yes, 2021
During the transpolar drifting campaign MOSAiC (Multidisciplinary drifting Observatory for the Study of Arctic Climate) of RV Polarstern (AWI, 2017), GNSS was used among other techniques to monitor variations in atmospheric water vapor. This dataset comprises the estimated antenna position for each hour, the derived zenith total delays including their ...
Männel, B., Zus, F.
openaire   +3 more sources

Regional Tropospheric Correction Model from GNSS–Saastamoinen–GPT2w Data for Zhejiang Province

open access: yesAtmosphere, 2023
Tropospheric delay models based on GNSS observations are essential for studying tropospheric changes. However, the uneven distribution of GNSS stations reduces the accuracy of GNSS tropospheric delay models in remote areas.
Chaoqian Xu   +6 more
doaj   +1 more source

Improving tropospheric corrections on large-scale Sentinel-1 interferograms using a machine learning approach for integration with GNSS-derived zenith total delay (ZTD)

open access: yes, 2020
Sentinel-1 mission with its wide spatial coverage (250 km), short revisit time (6 days), and rapid data dissemination opened new perspectives for large-scale interferometric synthetic aperture radar (InSAR) analysis.
R. Shamshiri   +4 more
semanticscholar   +1 more source

Estimating integrated water vapor trends from VLBI, GPS,and numerical weather models: sensitivity totropospheric parameterization [PDF]

open access: yes, 2018
©2018. American Geophysical UnionIn this study, we estimate integrated water vapor (IWV) trends from very long baseline interferometry (VLBI) and global navigation satellite systems (GNSS) data analysis, as well as from numerical weather models (NWMs ...
Balidakis, Kyriakos   +6 more
core   +1 more source

Least-Squares Spectral and Coherency Analysis of the Zenith Total Delay Time Series at SuomiNet Station SA56 (UNB2)

open access: yesInternational Association of Geodesy Symposia, 2020
Zenith Total Delay (ZTD) from ground-based Global Navigational Satellite Systems (GNSS) observations plays an important role in meteorology. It contains information about the troposphere due to the interactions that GNSS signals have with the atmosphere ...
A. O. Mayaki   +2 more
semanticscholar   +1 more source

Estimation of Precipitable Water Vapor Using the GPS [PDF]

open access: yesJournal of Astronomy and Space Sciences, 1999
The radio waves transmitted from GPS satellites is delayed by the troposphere as they propagate to Earth-based GPS receivers. The troposphere delay is usually divided into two parts, the dry delay due to the atmospheric gases and the wet delay due to the
Yong-Jin Moon   +2 more
doaj  

A Combined IR-GPS Satellite Analysis for Potential Applications in Detecting and Predicting Lightning Activity

open access: yesRemote Sensing, 2020
Continuous estimates of the vertical integrated precipitable water vapor content from the tropospheric delay of the signal received by the antennas of the global positioning system (GPS) are used in this paper, in conjunction with the measurements of the
Leo Pio D’Adderio   +4 more
doaj   +1 more source

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