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A neural network model for predicting weighted mean temperature
Journal of Geodesy, 2018Water vapor is an important element of the Earth’s atmosphere, and most of it concentrates at the bottom of the troposphere. Knowledge of the water vapor measured by Global Navigation Satellite Systems (GNSS) is an important direction of GNSS research. In particular, when the zenith wet delay is converted to precipitable water vapor, the weighted mean ...
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Model Establishment and Analysis of Weighted Mean Temperature in the Region of Guilin
2017Compared to conventional vapour detection instruments, new means of GPS water vapor detecting with high temporal and spatial resolution, without calibration, low cost, suitable for wide range of promotion. And then GPS water vapor detecting play a positive role in the surviving of heavy rain, hail and other severe weather.
Zixin Chen +4 more
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The effect of skin thermistor fixation method on weighted mean skin temperature
Physiological Measurement, 2011The purpose of this study was to investigate the effect of three different skin thermistor attachment methods on weighted mean skin temperature (WMT(sk)) at three different ambient temperatures (approximately 24 °C (TEMP); approximately 30 °C (WARM); approximately 35 °C (HOT)) compared to uncovered thermistors.
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Agreement between mean weighted skin temperature formulas during exercise
Journal of Applied PhysiologyThis investigation is the first to show T mws formula agreement during exercise in moderate (20°C) and warm (30°C) environments. This study uniquely contributes to the present knowledge by showing better agreement between all formulas and the criterion in the 30°C environment than in the 20°C
Nathan E. Bartman +5 more
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Artificial neural network for improving the estimation of weighted mean temperature in Egypt
Journal of Applied Geodesy, 2021Abstract One of the most important parameters in meteorological data is the Precipitable Water Vapor (PWV). It can be measured by radiosonde stations (RS), but the fact is that RS are not available in all times. Therefore, GNSS satellite signals are considered an accurate function to compute it within a conversation factor.
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GTm_X: A New Version Global Weighted Mean Temperature Model
2015The atmospheric weighted mean temperature (Tm) determines the calculation accuracy of perceptible water value. Recently, a variety of global Tm empirical formulas and models have been developed using different databases, which have defects of limited spatial resolution. To address this issue, we establish a high-resolution global Tm model, GTm_X, using
Peng Chen, Wanqiang Yao
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Impact of the weighted mean temperature on the estimation of GPS precipitable water vapor
2008 International Conference on Microwave and Millimeter Wave Technology, 2008The relationship of the weighted mean temperature and the surface temperature was obtained using the radiosonde observation in Anqing from 2004 to 2007. The weighted mean temperature estimated from the regressed formula is higher than that from the Bevis formula when the surface temperature increases, which introduces the difference of approximate 1.9%
null Yunchang Cao +3 more
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A second generation of the neural network model for predicting weighted mean temperature
GPS Solutions, 2020In global navigation satellite system (GNSS) meteorology, the weighted mean temperature (Tm) is a variable parameter in the conversion between zenith wet delay errors of GNSS and precipitable water vapor. The combined models of Tm, which are modeled with a combination of Tm seasonal variations and relationships between Tm and site meteorological ...
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GWMT Global Atmospheric Weighted Mean Temperature Models: Development and Refinement
2013The atmospheric weighted mean temperature Tm plays a pivotal role in remote sensing water vapor with GNSS technique. However, real-time Tm cannot be obtained at given place due to limitation of modern technology. In order to remove this barrier, a global and season-specific Tm model (GWMT-I) based on spherical harmonics analysis was built using land ...
Changyong He +4 more
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Comparison of weighting formulas for calculating mean skin temperature
Journal of Applied Physiology, 1969D, Mitchell, C H, Wyndham
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