Results 1 to 10 of about 347,574 (237)
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
semanticscholar +4 more sources
Review on the Role of GNSS Meteorology in Monitoring Water Vapor for Atmospheric Physics [PDF]
Remote Sensing, 2021 After 30 years since the beginning of the Global Positioning System (GPS), or, more generally, Global Navigation Satellite System (GNSS) meteorology, this technique has proven to be a reliable method for retrieving atmospheric water vapor; it is low-cost,
Javier Vaquero-Martínez, Manuel Antón
doaj +4 more sources
Remote Sensing, 2020 In this paper, we assess, in the framework of Global Navigation Satellite System (GNSS) meteorology, the accuracy of GNSS propagation delays corresponding to the Saastamoinen zenith hydrostatic delay (ZHD) model and the Vienna Mapping function VMF1/VMF3 (
Peng Feng +4 more
doaj +4 more sources
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
doaj +4 more sources
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
doaj +3 more sources
Local modeling of weighted mean temperature in Iran and its impact on GNSS meteorology [PDF]
Acta Geophysica, 2022 Weighted mean temperature ( $$T_{m}$$ T m ) is used to determine water vapor content, precipitable water vapor, and integrated water vapor (IWV) in GNSS. This parameter is highly correlated with climate conditions as well as the type of the region.
Rahimi H, Asgari J, Nafisi V.
europepmc +2 more sources
GNSS Meteorology and Tropospheric Paramteres Investigation
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. Scientists have found a way to use systematic influence that troposphere has on GNSS signal and turn it ...
Alma Tabaković +2 more
openaire +2 more sources
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
doaj +3 more sources
GNSS-METEOROLOGY: OPPORTUNITIES AND PROSPECTS FOR DEVELOPMENT IN RUSSIA AND ABROAD
Interexpo GEO-Siberia, 2020 The article considers the possibilities and prospects for the development of GNSS meteorology based on domestic and foreign research. It is noted that the tropospheric delay of the GNSS signal is a valuable source of information about the state of the troposphere.
Chimis V. Khunai-ool, Elena G. Gienko
openaire +2 more sources
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
doaj +2 more sources