Results 31 to 40 of about 221 (150)
Impact of GPS Zenith Tropospheric Delay data on precipitation forecasts in Mediterranean France and Spain [PDF]
Geophysical Research Letters, 2004 Forecasting precipitation in the western Mediterranean is difficult because of the interactions among dynamical forcing, orographic lifting and moisture advection from the warm Mediterranean Sea. Torrential rainfall events are not uncommon, especially during the autumn.
Vedel, H. +4 more
openaire +3 more sources
Engineering Science and Technology, an International Journal, 2020 Estimation of tropospheric wet delay is of great importance for real-time weather forecasting applications. In the last decade, based on troposphere wet delays obtained from Global Navigation Satellite System observations, high temporal and spatial ...
Mahmut Oguz Selbesoglu
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
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, 2023 In the GNSS analysis the signal travel time delay induced by the neutral atmosphere is parameterized. The related parameters are derived from a climatology or better yet from a Numerical Weather Model (NWM). Current thinking is that NWMs are not accurate
Zus, Florian +4 more
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Earth and Space Science, 2020 Tropospheric delay error is independent of the signal's frequency and has strong spatiotemporal variation. It is one of the most severe error sources of satellite navigation and spatial measurement. In view of the limitation of global zenith tropospheric
Peng Chen +3 more
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Meteorological Applications, 2021 The ability to precisely and accurately model and predict tropospheric delay is essential for precise global navigation satellite system (GNSS) and meteorological applications.
Samuel Osah +3 more
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Improving the estimation of zenith dry tropospheric delays using regional surface meteorological data [PDF]
, 2013 Global Navigation Satellite Systems (GNSS) are emerging as possible tools for remote sensing high-resolution atmospheric water vapour that improves weather forecasting through numerical weather prediction models.
Luo, X., Heck, B., Awange, Joseph
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Short-term precipitation forecasting based on the data from GNSS observation
Shui kexue jinzhan, 2016 The Precipitable Water Vapor (PWV) derived from Global Navigation Satellite System (GNSS) can be used for the study of precipitation forecasting, but it needs the support of ground measured meteorological data. In order to solve this problem, a method of
YAO Yibin +3 more
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IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2023 The continuity and accuracy of real-time (RT) global satellite navigation system (GNSS) sensing of atmospheric water vapor can be seriously affected by a lack of connectivity.
HaoJun Li, XiaoMing Li, Qi Kang
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Modeling tropospheric zenith wet delays in the Chinese mainland based on machine learning
, 2023 In this study, the tropospheric zenith wet delay (ZWD) modeling was realized based on the regression analysis of 7 years (2013–2019) of radiosonde data at 182 sites in the Chinese mainland and the surroundings through two machine learning (ML) approaches
Jiang, Zhongshan; orcid: +2 more
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