ATMOSPHERIC WEIGHTED MEAN TEMPERATURE MODEL IN GUILIN [PDF]
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2020 Atmospheric water vapor is an important part of the earth's atmosphere, and it has a great relationship with the formation of precipitation and climate change.
Z. X. Mo +7 more
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Neural Network-Based Models for Estimating Weighted Mean Temperature in China and Adjacent Areas [PDF]
Atmosphere, 2021 The weighted mean temperature (Tm) is a key parameter when converting the zenith wet delay (ZWD) to precipitation water vapor (PWV) in ground-based Global Navigation Satellite System (GNSS) meteorology. Tm can be calculated via numerical integration with
Fengyang Long +3 more
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Remote Sensing, 2021 The Global Navigation Satellite System (GNSS) plays an important role in retrieving high temporal–spatial resolution precipitable water vapor (PWV) and its applications.
Mingliang Wu +5 more
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A Weighted Mean Temperature Model with Nonlinear Elevation Correction Using China as an Example [PDF]
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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Optimised weighted mean temperature model based on generalised regression neural network
All Earth, 2023 The weighted mean temperature (Tm) is a key parameter to calculate the Global Navigation Satellite System (GNSS)-based precipitable water vapour (PWV). Data fusion provides a solution to depict the characteristics of Tm in detail.
Junyu Li +7 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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GNSS meteorology in Egypt: Modeling weighted mean temperature from radiosonde data
Alexandria Engineering Journal, 2019 This study uses 3600 radiosonde profiles obtained by experimentation from four stations situated in Egypt within 2015–2016 period and Bevis linear regression method was applied to develop a new water vapor weighted temperature (Tm).Bevis, Schueler, Yao ...
Nesreen M. Elhaty +3 more
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Other Proofs of Monotonicity for Generalized Weighted Mean Values [PDF]
, 1999 In this article, another two simple and short proofs of monotonicity for the generalized weighted mean values with two parameters are ...
Qi, Feng, Mei, Jia-Qiang, Xu, Sen-Lin
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Notes on the Schur-convexity of the Extended Mean Values [PDF]
, 2002 In this article, the Schur-convexities of the weighted arithmetic mean of function and the extended mean values are proved. Moreover, some inequalities involving the arithmetic mean, the harmonic mean, the logarithmic mean, and comparison between the ...
Qi, Feng +3 more
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A new global grid-based weighted mean temperature model considering vertical nonlinear variation [PDF]
Atmospheric Measurement Techniques, 2021 Global navigation satellite systems (GNSS) have been proved to be an excellent technology for retrieving precipitable water vapor (PWV). In GNSS meteorology, PWV at a station is obtained from a conversion of the zenith wet delay (ZWD) of GNSS signals ...
P. Sun +6 more
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