An improved method for water vapor detection

1983 ◽  
Vol 11 (2) ◽  
pp. 117-129 ◽  
Author(s):  
Thomas Adams ◽  
Michael A. Steinmetz ◽  
David B. Manner ◽  
Duane M. Baldwin ◽  
S. Richard Heisey
Keyword(s):  
Water Vapor ◽  
Improved Method ◽  
Vapor Detection ◽  
Water Vapor Detection

Diode Laser Based Photoacoustic Water Vapor Detection System for Atmospheric Research

2004 ◽  
Vol 58 (7) ◽  
pp. 792-798 ◽  
Author(s):  
Miklós Szakáll ◽  
Zoltán Bozóki ◽  
Árpád Mohácsi ◽  
Attila Varga ◽  
Gábor Szabó
Keyword(s):  
Water Vapor ◽  
Diode Laser ◽  
Detection System ◽  
Vapor Detection ◽  
Atmospheric Research ◽  
Water Vapor Detection

A mobile lidar system for aerosol and water vapor detection in troposphere with mobile lida

2016 ◽  
Vol 45 (3) ◽  
pp. 0330001
Author(s):  
吕炜煜 Lv Weiyu ◽  
苑克娥 Yuan Ke′e ◽  
魏 旭 Wei Xu ◽  
刘李辉 Liu Lihui ◽  
王邦新 Wang Bangxin ◽  
...  
Keyword(s):  
Water Vapor ◽  
Lidar System ◽  
Vapor Detection ◽  
Water Vapor Detection

Single-beam water vapor detection system with automatic photoelectric conversion gain control

2014 ◽  
Vol 331 ◽  
pp. 45-52 ◽  
Author(s):  
C.G. Zhu ◽  
J. Chang ◽  
P.P. Wang ◽  
Q. Wang ◽  
W. Wei ◽  
...  
Keyword(s):  
Water Vapor ◽  
Detection System ◽  
Gain Control ◽  
Conversion Gain ◽  
Photoelectric Conversion ◽  
Vapor Detection ◽  
Single Beam ◽  
Water Vapor Detection

scholarly journals Multi-Quartz Enhanced Photoacoustic Spectroscopy with Different Acoustic Microresonator Configurations

2015 ◽  
Vol 2015 ◽  
pp. 1-6 ◽  
Author(s):  
Huadan Zheng ◽  
Xukun Yin ◽  
Lei Dong ◽  
Hongpeng Wu ◽  
Xiaoli Liu ◽  
...  
Keyword(s):  
Water Vapor ◽  
Absorption Coefficient ◽  
Photoacoustic Spectroscopy ◽  
Atmospheric Pressure ◽  
Noise Level ◽  
Signal Amplitude ◽  
Signal Enhancement ◽  
Vapor Detection ◽  
Water Vapor Detection

Acoustic microresonators were added to the recently developed multi-QTF based QEPAS spectrophone to enhance the signal amplitude. Two kinds of “on-beam” configurations were experimentally investigated in detail. The developed multi-QTF based “on-beam” spectrophone had a signal enhancement of 1.6 times compared with the traditional single QTF based “on-beam” spectrophone, with the approximate noise level. A normalized noise equivalent absorption coefficient (1σ) of 1.24 × 10−9 W·cm−1·Hz−1/2was obtained for water vapor detection at atmospheric pressure.

scholarly journals THE FOUNDATION GPS WATER VAPOR INVERSION AND ITS APPLICATION RESEARCH

2018 ◽  
Vol XLII-3 ◽  
pp. 1093-1098
Author(s):  
R. Liu ◽  
T. Lee ◽  
H. Lv ◽  
C. Fan ◽  
Q. Liu
Keyword(s):  
Water Vapor ◽  
Atmospheric Water Vapor ◽  
Detection Methods ◽  
Atmospheric Water ◽  
Total Delay ◽  
Vapor Detection ◽  
Observation Network ◽  
Station Coordinates ◽  
Depth Study ◽  
Water Vapor Detection

Using GPS technology to retrieve atmospheric water vapor is a new water vapor detection method, which can effectively compensate for the shortcomings of conventional water vapor detection methods, to provide high-precision, large-capacity, near real-time water vapor information. In-depth study of ground-based GPS detection of atmospheric water vapor technology aims to further improve the accuracy and practicability of GPS inversion of water vapor and to explore its ability to detect atmospheric water vapor information to better serve the meteorological services. In this paper, the influence of the setting parameters of initial station coordinates, satellite ephemeris and solution observation on the total delay accuracy of the tropospheric zenith is discussed based on the observed data. In this paper, the observations obtained from the observation network consisting of 8 IGS stations in China in June 2013 are used to inverse the water vapor data of the 8 stations. The data of Wuhan station is further selected and compared with the data of Nanhu Sounding Station in Wuhan The error between the two data was between -6mm-6mm, and the trend of the two was almost the same, the correlation reached 95.8 %. The experimental results also verify the reliability of ground-based GPS inversion of water vapor technology.

Detection of Spatiotemporal Changes of Water Vapor based on Large-scale BDS Reference Stations in China Area

2020 ◽  
Author(s):  
Qinglan Zhang
Keyword(s):  
Water Vapor ◽  
Large Scale ◽  
Atmospheric Precipitation ◽  
System Stability ◽  
Observation Data ◽  
Vapor Detection ◽  
Spatial Changes ◽  
Calculation Results ◽  
System Errors ◽  
Water Vapor Detection

<p>China has built  national BDS reference stations (≥210 ) covering the entire territory and has been operating continuously for more than 3 years. In 2020, BDS  satellite navigation and positioning system will be fully built and provide global services, providing a good source of data for the use of ground-based BDS observations for water vapor detection and analysis. The author used national BDS reference stations observation data which covered China area  in 2019, combined with sounding observation data, to detect and analyze the temporal and spatial changes of water vapor , and given preliminary analysis results of the  water vapor detection performance and accuracy based on BDS observation . The results show that the detection results of atmospheric precipitation between BDS and sounding system are more consistent, which can reflect the change of atmospheric precipitation.  The system errors and standard deviations of the calculation results which based on  the BDS  observations and the sounding observations are relatively large, which may be related to orbit model and  the system stability of BDS needs to be improved.</p>

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