A Two-Step Machine Learning Approach Integrating GNSS-Derived PWV for Improved Precipitation Forecasting [PDF]
EntropyGlobal Navigation Satellite System (GNSS) meteorology has emerged as a valuable tool for atmospheric monitoring, providing high-resolution, near-real-time data that can significantly improve precipitation nowcasting. This study aims to enhance short-term
Laura Profetto +4 more
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Generation of Meteorological Parameters for Tropospheric Delay on GNSS Signal [PDF]
Journal of Astronomy and Space Sciences, 2008 The GNSS (Global Navigation Satellite System) signal is delayed by the neutral atmosphere at the troposphere, so that the delay is one of major error sources for GNSS precise positioning. The tropospheric delay is an integrated refractive index along the
Sung-Wook Jung +6 more
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Assessment of ZTD Derived from COSMIC Occultation Data with ECWMF, Radiosondes, and GNSS [PDF]
Sensors, 2022 Global Navigation Satellite System (GNSS) signals generate slant tropospheric delays when they pass through the atmosphere, which is recognized as the main source of error in many spatial geodetic applications. The zenith tropospheric delay (ZTD) derived
Naifeng Fu +8 more
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European GNSS troposphere monitoring for meteorological applications [PDF]
IOP Conference Series: Earth and Environmental Science, 2021 Abstract Near real-time GNSS double-difference network processing is a traditional method still used within the EUMETNET EIG GNSS Water Vapour Programme (E-GVAP) for the atmosphere water vapour content monitoring in support of Numerical Weather Prediction. The standard production relies on estimating zenith tropospheric path delays (ZTDs)
Jan Douša +3 more
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Benefits of Using Galileo for Real-Time GNSS Meteorology [PDF]
IEEE Geoscience and Remote Sensing Letters, 2021 Remote sensing of water vapor using Global Navigation Satellite Systems (GNSS) is a well-established tool for weather and climate monitoring. The current challenges of GNSS meteorology are real-time performance and the inclusion of emerging GNSS, such as Galileo.
Tomasz Hadas, Thomas Hobiger
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Review of the state of the art and future prospects of the ground-based GNSS meteorology in Europe [PDF]
Atmospheric Measurement Techniques, 2016 Global navigation satellite systems (GNSSs) have revolutionised positioning, navigation, and timing, becoming a common part of our everyday life. Aside from these well-known civilian and commercial applications, GNSS is now an established atmospheric ...
G. Guerova +10 more
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Near real-time water vapor tomography using ground-based GPS and meteorological data: long-term experiment in Hong Kong [PDF]
Annales Geophysicae, 2014 Water vapor tomography is a promising technique for reconstructing the 4-D moisture field, which is important to the weather forecasting and nowcasting as well as to the numerical weather prediction. A near real-time 4-D water vapor tomographic system
P. Jiang +4 more
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A Review on Multi-GNSS for Earth Observation and Emerging Applications
Remote Sensing, 2022 Global Navigation Satellite System (GNSS) has drawn the attention of scientists and users all over the world for its wide-ranging Earth observations and applications.
Shuanggen Jin +2 more
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GNSS meteorology and tropospheric parameteres investigation [PDF]
Geodetski Glasnik, 2015 Troposphere plays crucial role for geodetic comunity, which can primarly be seen in its influence on GNSS observations. At the same time, troposhpere is the place where almost all hidrometeorological phenomena that effect our everyday life occure ...
Alma Tabaković +2 more
doaj +1 more source
Detection of Alpine Foehn in GNSS-ZWD time series: An innovative application of GNSS Meteorology [PDF]
, 2021 <p>The atmospheric delay experienced by a signal of the Global Navigation Satellite System (GNSS) is proportional to the water vapour content along the signal path. This fact is typically exploited in GNSS Meteorology by introducing GNSS derived atmospheric parameters like the Zenith Wet Delay (ZWD) in data assimilation schemes.
Matthias Aichinger-Rosenberger +2 more
openaire +3 more sources