Improving the Estimation of Weighted Mean Temperature in China Using Machine Learning Methods
Remote Sensing, 2021 As a crucial parameter in estimating precipitable water vapor from tropospheric delay, the weighted mean temperature (Tm) plays an important role in Global Navigation Satellite System (GNSS)-based water vapor monitoring techniques.
Zhangyu Sun, Bao Zhang, Yibin Yao
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Modelling of weighted-mean temperature using regional radiosonde observations in Hunan China
Terrestrial, Atmospheric and Oceanic Sciences, 2018 Precipitable water vapour (PWV) over a ground station can be estimated from the global navigation satellite systems (GNSS) signal's zenith wet delays (ZWD) multiplying by a conversion factor that is a function of weighted-mean temperature (Tm). The commonly used Bevis Tm model (BTM) may not perform well in some regions due to its use of data from North
Li Li +5 more
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Weighted Mean Temperature Hybrid Models in China Based on Artificial Neural Network Methods
Remote Sensing, 2022 The weighted mean temperature (Tm) is crucial for converting zenith wet delay to precipitable water vapor in global navigation satellite system meteorology.
Meng Cai +6 more
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A new Egyptian Grid Weighted Mean Temperature (EGWMT) model using hourly ERA5 reanalysis data in GNSS PWV retrieval [PDF]
Scientific ReportsPrecise modeling of weighted mean temperature (T m ) is essential for Global Navigation Satellite System (GNSS) meteorology. In retrieving precipitable water vapor (PWV) from GNSS, T m is a crucial parameter for the conversion of zenith wet delay (ZWD ...
Ragab Elhady Sleem +3 more
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Enhanced Neural Network Model for Worldwide Estimation of Weighted Mean Temperature
Remote Sensing, 2021 Precise modeling of weighted mean temperature (Tm) is critical for realizing real-time conversion from zenith wet delay (ZWD) to precipitation water vapor (PWV) in Global Navigation Satellite System (GNSS) meteorology applications.
Fengyang Long +3 more
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A Weighted Mean Temperature Model with Nonlinear Elevation Correction Using China as an Example
Remote Sensing, 2021 The weighted mean temperature (Tm) is a crucial parameter for determining the tropospheric delay in transforming precipitable water vapor. We used the reanalysis data provided by European Centre for Medium-Range Weather Forecasts (ECMWF) to analyze the ...
Hai Zhu, Kejie Chen, Guanwen Huang
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Applicability of Bevis Formula at Different Height Levels and Global Weighted Mean Temperature Model Based on Near-earth Atmospheric Temperature [PDF]
Journal of Geodesy and Geoinformation Science, 2020 Weighted mean temperature (Tm) is a critical parameter in Global Navigation Satellite System (GNSS) technology to retrieve precipitable water vapor (PWV).
Yibin YAO,Zhangyu SUN,Chaoqian XU
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A Novel Modeling Strategy of Weighted Mean Temperature in China Using RNN and LSTM
Remote Sensing, 2021 In the meteorology of Global Navigation Satellite System, the weighted mean temperature (Tm) is a key parameter in the process of converting the zenith wetness delay into precipitable water vapor, and it plays an important role in water vapor monitoring.
Wenliang Gao +4 more
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Advanced Grid Model of Weighted Mean Temperature Based on Feedforward Neural Network Over China
Earth and Space Science, 2021 Weighted mean temperature (Tm) is a key parameter in Global Navigation Satellite System meteorology. In this study, European Centre for Medium‐Range Weather Forecasts Re‐Analysis product with a spatial resolution of 0.5° × 0.5° from 1999 to 2018 was used
Mingchen Zhu, Wusheng Hu, Wei Sun
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WATER VAPOUR WEIGHTED MEAN TEMPERATURE MODEL FOR GPS-DERIVED INTEGRATED WATER VAPOUR IN PENINSULAR MALAYSIA [PDF]
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2017 This paper presents the development of TM model by using the radiosonde stations from Peninsular Malaysia. Two types of TM model were developed; site-specific and regional models.
T. A. Musa +4 more
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