Results 11 to 20 of about 191 (136)
Deep Neural Networks for Refining Vertical Modeling of Global Tropospheric Delay
Geophysical Research LettersKinematic airborne platforms are becoming increasingly vital for Earth observation. They highlight the critical need for accurate tropospheric delay corrections across varying altitudes, especially as most existing models are limited to Earth's surface ...
Peng Yuan +9 more
doaj +2 more sources
Ensemble Based Estimation of Wet Refractivity Indices Using a Functional Model Approach
Earth and Space ScienceThe estimation of the wet refractivity indices is crucial for applications like weather predictions or improving the accuracy of real‐time positioning techniques.
Masoud Dehvari +2 more
doaj +2 more sources
IET Radar, Sonar & NavigationAs low‐cost global navigation satellite systems receiver and antenna become increasingly prevalent for water vapour monitoring, precise millimetre‐level characterisation of instrument biases is crucial for maintaining measurement accuracy and reliability.
Jizhong Wu, Xiaoying Wang, Hongyang Ma
doaj +2 more sources
Remote Sensing, 2021 Accurate tropospheric delay (TD) and weighted mean temperature (Tm) are important for Global Navigation Satellite System (GNSS) positioning and GNSS meteorology.
Liying Cao +6 more
doaj +1 more source
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 +1 more source
Satellite Navigation, 2023 Tropospheric delay is a major error caused by atmospheric refraction in Global Navigation Satellite System (GNSS) positioning. The study evaluates the potential of the European Centre for Medium-range Weather Forecast (ECMWF) Reanalysis 5 (ERA5 ...
Ifechukwu Ugochukwu Nzelibe +2 more
doaj +1 more source
Frontiers in Earth Science, 2020 We studied disastrous heavy rainfall episodes in 2017–2019 summer in SW Japan, especially in the Kyushu region using tropospheric delay data from the Japanese dense global navigation satellite system (GNSS) network GEONET (GNSS Earth Observation Network).
Syachrul Arief +2 more
doaj +1 more source
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 +1 more source
Troposphere Sensing Using Grazing‐Angle GNSS‐R Measurement From LEO Satellites
Geophysical Research Letters, Volume 50, Issue 24, 28 December 2023., 2023 Abstract This paper studies a new concept of using global navigation satellite system (GNSS) signals coherently reflected over relatively smooth ocean and ice surfaces from very low elevation angles (below ∼8°) and received by low Earth orbit (LEO) satellites to retrieve the tropospheric information.
Yang Wang
wiley +1 more source
The effect of data sources on calculating mean temperature and integrated water vapor in Iran
Meteorological Applications, Volume 30, Issue 6, November/December 2023., 2023 Weighted mean temperature in Iran. Abstract The weighted mean temperature (Tm) plays a crucial role in calculating Precipitable Water Vapor (PWV) and integrated water vapor (IWV) using Global Navigation Satellite Systems (GNSS) techniques. Currently, the primary sources for meteorological parameters are radiosonde measurements and Numerical Weather ...
Hassan Rahimi +2 more
wiley +1 more source