Results 11 to 20 of about 1,227 (193)

Preliminary Results on Tropospheric ZTD Estimation by Smartphone [PDF]

open access: yesRemote Sensing, 2021
The Global Navigation Satellite System (GNSS) receiver is one of the many sensors embedded in smartphones. The early versions of the Android operating system could only access limited information from the GNSS, allowing the related Application Program Interface (API) to obtain only the location.
Lorenzo Benvenuto   +3 more
core   +7 more sources

Quality control of SIRGAS ZTD products [PDF]

open access: yesJournal of Geodetic Science, 2022
AbstractThe SIRGAS-CON network currently has more than 450 continuous GNSS stations, and it is used for geodetic purposes. In atmospheric studies, it is used for ionospheric monitoring and for the estimation of zenith tropospheric delays (ZTDs). From the Neutral Atmosphere Analysis Center of SIRGAS, Centro de Ingeniería Mendoza Argentina, the final ...
María Virginia Mackern   +3 more
openaire   +5 more sources

Impacts of Stochastic Modeling on GPS-derived ZTD Estimations [PDF]

open access: yes, 2004
GPS-derived ZTD (Zenith Tropospheric Delay) plays a key role in near real-time weather forecasting, especially in improving the precision of Numerical Weather Prediction (NWP) models. The ZTD is usually estimated using the first-order Gauss-Markov process with a fairly large correlation, and under the assumption that all the GPS measurements, carrier ...
Jin, S, Wang, J
openaire   +5 more sources

Regional Zenith Tropospheric Delay Modeling Based on Least Squares Support Vector Machine Using GNSS and ERA5 Data [PDF]

open access: yesRemote Sensing, 2021
The meteorological reanalysis data has been widely applied to derive zenith tropospheric delay (ZTD) with a high spatial and temporal resolution. With the rapid development of artificial intelligence, machine learning also begins as a high-efficiency ...
Song Li   +5 more
doaj   +2 more sources

A Novel Method for Monitoring Tropical Cyclones’ Movement Using GNSS Zenith Tropospheric Delay [PDF]

open access: yesRemote Sensing, 2023
Precipitable water vapor (PWV) is an important meteorological factor for predicting extreme weather events such as tropical cyclones, which can be obtained from zenith tropospheric delay (ZTD) by using a conversion.
Dajun Lian   +8 more
doaj   +4 more sources

MSE-impact of PPP-RTK ZTD estimation strategies [PDF]

open access: yesAdvances in Space Research, 2018
In PPP-RTK network processing, the wet component of the zenith tropospheric delay (ZTD) cannot be precisely modelled and thus remains unknown in the observation equations. For small networks, the tropospheric mapping functions of different stations to a given satellite are almost equal to each other, thereby causing a near rank-deficiency between the ...
Wang, K. (author)   +2 more
openaire   +7 more sources

Variational Bias Correction of GNSS ZTD in the HARMONIE Modeling System [PDF]

open access: yesJournal of Applied Meteorology and Climatology, 2016
AbstractTo fill the gap in the observation system for humidity, the HIRLAM–ALADIN Research on Mesoscale Operational NWP in Euromed (HARMONIE) limited-area high-resolution kilometer-scale model has been prepared for assimilation of Global Navigation Satellite System (GNSS) zenith total delay (ZTD) observations. The observation-processing system includes
Sánchez Arriola, Jana   +3 more
openaire   +4 more sources

Development of a ZTD Vertical Profile Model Considering the Spatiotemporal Variation of Height Scale Factor with Different Reanalysis Products in China [PDF]

open access: yesAtmosphere, 2022
Tropospheric delay is one of the key factors that may affect high-precision satellite navigation and positioning and water vapor retrieval performance.
Xin Wang   +8 more
doaj   +2 more sources

Real-time retrieval of high-precision ZTD maps using GNSS observation [PDF]

open access: yesGeodesy and Geodynamics
Zenith Tropospheric Delay (ZTD) is an important factor that restricts the high-precision positioning of global navigation satellite system (GNSS), and it is of great significance in establishing a real-time and high-precision ZTD model. However, existing
Qingzhi Zhao   +13 more
doaj   +2 more sources

A Tropospheric Zenith Delay Forecasting Model Based on a Long Short-Term Memory Neural Network and Its Impact on Precise Point Positioning [PDF]

open access: yesRemote Sensing, 2022
Global navigation satellite system (GNSS) signals are affected by refraction when traveling through the troposphere, which result in tropospheric delay. Generally, the tropospheric delay is estimated as an unknown parameter in GNSS data processing.
Huan Zhang   +6 more
doaj   +2 more sources

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