Results 21 to 30 of about 174,971 (243)

Applicability of Bevis Formula at Different Height Levels and Global Weighted Mean Temperature Model Based on Near-earth Atmospheric Temperature [PDF]

open access: yesJournal 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

Modelling and validation of the weighted mean temperature for Turkey

open access: yesMeteorological 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   +3 more sources

Advanced Grid Model of Weighted Mean Temperature Based on Feedforward Neural Network Over China

open access: yesEarth 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]

open access: yesThe 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

Determination of Weighted Mean Temperature (Tm) Lapse Rate and Assessment of Its Impact on Tm Calculation

open access: yesIEEE 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

open access: yesRemote 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

A Regional Model for Predicting Tropospheric Delay and Weighted Mean Temperature in China Based on GRAPES_MESO Forecasting Products

open access: yesRemote Sensing, 2021
Accurate tropospheric delay (TD) and weighted mean temperature (Tm) are important for Global Navigation Satellite System (GNSS) positioning and GNSS meteorology.
Liying Cao   +6 more
doaj   +1 more source

Region-Specific and Weather-Dependent Characteristics of the Relation between GNSS-Weighted Mean Temperature and Surface Temperature over China

open access: yesRemote Sensing, 2023
Weighted mean temperature of the atmosphere, Tm, is a key parameter for retrieving the precipitable water vapor from Global Navigation Satellite System observations.
Minghua Wang   +7 more
doaj   +1 more source

Weighted Mean Temperature Modelling Using Regional Radiosonde Observations for the Yangtze River Delta Region in China

open access: yesRemote Sensing, 2022
Precipitable water vapor can be estimated from the Global Navigation Satellite System (GNSS) signal’s zenith wet delay (ZWD) by multiplying a conversion factor, which is a function of weighted mean temperature (Tm) over the GNSS station.
Li Li, Yuan Li, Qimin He, Xiaoming Wang
doaj   +1 more source

Anomalous Zenith Total Delays for an Insular Tropical Location: The Tahiti Island Case

open access: yesRemote Sensing, 2022
The weighted mean temperature of the troposphere, Tm, is a key parameter in GNSS meteorology. It can be routinely derived based on meteorological data from radiosonde (RS) or numerical weather models. Alternatively, it can be also derived through a least-
Fangzhao Zhang   +3 more
doaj   +1 more source

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