Determination of the Most Applicable Precipitable Water Vapour Model For Turkey Using GNSS
Water vapor plays an important role in modelling atmosphere and climate studies. Moreover, long-term water vapor changes can be an independent source for detecting climate changes.
GÜRBÜZ, GÖKHAN +2 more
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ERA5-SH: A global grided scale height dataset for tropospheric parameters based on ERA5 reanalysis. [PDF]
Hao R +5 more
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A Machine Learning-Based Tropospheric Prediction Approach for High-Precision Real-Time GNSS Positioning. [PDF]
Chen J, Gao Y.
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An Investigation of Precise Orbit and Clock Products for BDS-3 from Different Analysis Centers. [PDF]
Shen P, Cheng F, Lu X, Xiao X, Ge Y.
europepmc +1 more source
A Two-Step Machine Learning Approach Integrating GNSS-Derived PWV for Improved Precipitation Forecasting. [PDF]
Profetto L +4 more
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Assessment and Validation of Small-Scale Tropospheric Delay Estimations Based on NWP Data. [PDF]
Håkegård JE +3 more
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Evaluation of the ZWD/ZTD Values Derived from MERRA-2 Global Reanalysis Products Using GNSS Observations and Radiosonde Data. [PDF]
Huang L +5 more
europepmc +1 more source
Establishment and Evaluation of Atmospheric Water Vapor Inversion Model Without Meteorological Parameters Based on Machine Learning. [PDF]
Liu N, Shen Y, Zhang S, Zhu X.
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Analysis and Comparison of GPS Precipitable Water Estimates between Two Nearby Stations on Tahiti Island. [PDF]
Zhang F, Barriot JP, Xu G, Hopuare M.
europepmc +1 more source
Extra-Wide Lane Ambiguity Resolution and Validation for a Single Epoch Based on the Triple-Frequency BeiDou Navigation Satellite System. [PDF]
Deng J, Zhang A, Zhu N, Ke F.
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