Short-Term Forecast of Tropospheric Zenith Wet Delay Based on TimesNet [PDF]
SensorsThe tropospheric zenith wet delay (ZWD) serves as a pivotal parameter for atmospheric water vapour inversion. By converting it into precipitable water vapour, high-temporal-resolution atmospheric humidity monitoring becomes feasible, providing crucial ...
Xuan Zhao +5 more
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Assessment and Validation of Small-Scale Tropospheric Delay Estimations Based on NWP Data [PDF]
SensorsThis paper investigates the applicability of the Numerical Weather Prediction (NWP) data for characterizing the gradient of zenith wet delay in horizontal direction observed on short baselines over larger territories.
Jan Erik Håkegård +3 more
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An empirical zenith wet delay correction model using piecewise height functions [PDF]
Annales Geophysicae, 2018 Tropospheric delay is an important error source in space geodetic techniques. The temporal and spatial variations of the zenith wet delay (ZWD) are very large and thus limit the accuracy of tropospheric delay modelling.
Y. Yao, Y. Yao, Y. Yao, Y. Hu, Y. Hu
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Adaptive neuro fuzzy inference system for predicting sub-daily Zenith Wet Delay
Geodesy and Geodynamics, 2022 In recent years, the focus of tropospheric studies has evolved to GNSS meteorology and weather forecasting. The Zenith Wet Delay (ZWD), which might be assembled to the Integrated Water Vapour (IWV), is an essential component of the tropospheric delay ...
Jareer Mohammed
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Evaluation of the ZWD/ZTD Values Derived from MERRA-2 Global Reanalysis Products Using GNSS Observations and Radiosonde Data [PDF]
Sensors, 2020 Tropospheric delay is one of the main errors affecting high-precision positioning and navigation and is a key parameter of water vapor detection in the Global Navigation Satellite System (GNSS).
Liangke Huang +5 more
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ZWDX: a global zenith wet delay forecasting model using XGBoost
Earth, Planets and SpaceTropospheric delays play a crucial role for Global Navigation Satellite Systems (GNSS). They are a major error source in GNSS positioning and, at the same time, also a variable of interest in GNSS meteorology.
Laura Crocetti +4 more
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Machine Learning-Based Calibrated Model for Forecast Vienna Mapping Function 3 Zenith Wet Delay
Remote Sensing, 2023 An accurate estimation of zenith wet delay (ZWD) is crucial for global navigation satellite system (GNSS) positioning and GNSS-based precipitable water vapor (PWV) inversion. The forecast Vienna Mapping Function 3 (VMF3-FC) is a forecast product provided
Feijuan Li +5 more
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Zenith Wet Delay (ZWD) Seasonal Correlation with Rainfall in Cikapundung River Discharge, North Bandung Region, Indonesia [PDF]
E3S Web of Conferences, 2019 In a GPS survey study, the biases produced by the ionosphere and troposphere layers are known as ionospheric biases and troposphere bias. The distance deviation due to the slowing travel time of GPS signals in troposphere is commonly referred to as ...
Kuntjoro Wedyanto +4 more
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Machine learning-based modelling of zenith wet delay using terrestrial meteorological data in the Brazilian territory [PDF]
ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information SciencesThe Zenith Total Delay (ZTD) is one of the primary error sources derived from the neutral atmosphere associated with the GNSS (Global Navigation Satellite Systems) technique.
A. M. Albuquerque +7 more
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Kinematic Zenith Tropospheric Delay Estimation with GNSS PPP in Mountainous Areas [PDF]
Sensors, 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
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