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
doaj +4 more sources
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
doaj +4 more sources
A zenith wet delay improved model in China based on GPT3 and random forest
Geodesy and GeodynamicsZenith wet delay (ZWD) is a key parameter for the precise positioning of global navigation satellite systems (GNSS) and occupies a central role in meteorological research.
Shaoni Chen +5 more
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Developing Iran's empirical zenith wet delay model (IR-ZWD) [PDF]
Journal of Atmospheric and Solar-Terrestrial Physics, 2023 The presence of water vapor in the lower atmosphere can introduce errors in satellite-based geodetic observations. Accurate modeling of this part of atmospheric delay is particularly challenging due to the considerable variations of water vapor. Therefore, constructing a reasonable model to predict Zenith Wet Delay (ZWD) can improve the accuracy of ...
Saeed Farzaneh, Ehsan Forootan
exaly +2 more sources
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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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
doaj +2 more sources
Remote Sensing, 2020 A new concept is proposed for estimating the zenith wet delay (ZWD) and atmospheric weighted average temperature by inputting the temperature, total pressure, and specific humidity from surface weather data.
Pengfei Xia +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
doaj +4 more sources
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
doaj +2 more sources
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
doaj +3 more sources