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
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
doaj +2 more sources
Sensitivity of Shipborne GNSS Estimates to Processing Modeling Based on Simulated Dataset [PDF]
Sensors, 2023 The atmospheric water vapor is commonly monitored from ground Global Navigation Satellite System (GNSS) measurements, by retrieving the tropospheric delay under the Zenith Wet Delay (ZWD) component, linked to the water vapor content in the atmosphere. In
Aurélie Panetier +2 more
doaj +2 more sources
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
doaj +2 more sources
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
doaj +3 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 +3 more sources
Monitoring water vapor transport in near real-time with low-cost GNSS receiver network [PDF]
Scientific ReportsWater vapor plays a vital role in weather variations, making it essential to monitor atmospheric water vapor content for reliable weather forecasts.
Jizhong Wu +3 more
doaj +2 more sources
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 +2 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 +3 more sources