Results 11 to 20 of about 174,971 (243)
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
doaj +2 more sources
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
doaj +2 more sources
Earth and Space Science, 2019 Tropospheric delay is an important error source in Global Navigation Satellite System (GNSS) positioning and can also be used in water vapor monitoring.
Zhangyu Sun, Bao Zhang, Yibin Yao
doaj +2 more sources
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
doaj +2 more sources
Remote Sensing, 2022 Weighted average temperature (Tm) plays a crucial role in global navigation satellite system (GNSS) precipitable water vapor (PWV) retrieval. Aiming at the poor applicability of the existing Tm models in Europe, in the article, we used observations from ...
Bingbing Zhang +7 more
doaj +3 more sources
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
doaj +3 more sources
Determination of weighted mean tropospheric temperature using ground meteorological measurements
Geo-Spatial Information Science, 2001 The weighted mean tropospheric temperature is a critical parameter in the conversion of wet zenith delay to precipitable water vapor in GPS Meteorology. This parameter can not be calculated from the radiosonde data in real time through the conventional methods.
Liu Jingnan +2 more
exaly +2 more sources
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
doaj +1 more source
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
doaj +1 more source
CONSTRUCTION OF REGIONAL WEIGHTED MEAN TEMPERATURE MODEL BASED ON OPTIMIZATION BP NEURAL NETWORK [PDF]
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2020 The tropospheric weighted mean temperature (Tm) is one of the key characteristic parameters in the troposphere, which plays an important role in the conversion of Zenith Wet Delay (ZWD) to atmospheric Precipitable Water Vapor (PWV).
Z. X. Chen +10 more
doaj +1 more source