Results 21 to 30 of about 8,094,665 (258)
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
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
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
doaj +1 more source
, 2000 In this article, by mathematical induction and properties of the generalized weighted mean values, some general Steffensen pairs are ...
Qi, Feng, Guo, Bai-Ni
core +3 more sources
Modelling and validation of the weighted mean temperature for Turkey
Meteorological Applications, 2016 ABSTRACTWater vapour is involved in many atmospheric processes. Precipitation specifically relies on the amount of precipitable water vapour (PWV) or the water vapour content suspended in the atmosphere.Opportunities with regard to the conversion of existing continuous Global Navigation Satellite System (GNSS) stations to GNSS meteorology stations ...
Mekik, Cetin, Deniz, Ilke
openaire +4 more sources
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
doaj +1 more source
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
doaj +1 more source
IEEE Access, 2019 In Global Navigation Satellite System (GNSS) meteorology, improved understanding of weighted mean temperature (Tm) variation and estimation is imperative because Tm is crucial to the quantification of precipitable water, which is an important parameter ...
Fei Yang +5 more
doaj +1 more source
Machine Learning-Based Estimation of Hourly GNSS Precipitable Water Vapour
Remote Sensing, 2023 Water vapour plays a key role in long-term climate studies and short-term weather forecasting. Therefore, to understand atmospheric variations, it is crucial to observe water vapour and its spatial distribution.
Zohreh Adavi +3 more
doaj +1 more source