Multiple-wavelength Raman lidar measurements of atmospheric water vapor

1994 ◽  
Vol 21 (23) ◽  
pp. 2499-2502 ◽  
Author(s):  
Sumati Rajan ◽  
Timothy J. Kane ◽  
C. Russell Philbrick
2014 ◽  
Vol 7 (6) ◽  
pp. 6327-6357 ◽  
Author(s):  
F. Madonna ◽  
M. Rosoldi ◽  
J. Güldner ◽  
A. Haefele ◽  
R. Kivi ◽  
...  

Abstract. The potential for measurement redundancy to reduce uncertainty in atmospheric variables has not been investigated comprehensively for climate observations. We evaluated the usefulness of entropy and mutual correlation concepts, as defined in information theory, for quantifying random uncertainty and redundancy in time series of atmospheric water vapor provided by five highly instrumented GRUAN (GCOS [Global Climate Observing System] Reference Upper-Air Network) Stations in 2010–2012. Results show that the random uncertainties for radiosonde, frost-point hygrometer, Global Positioning System, microwave and infrared radiometers, and Raman lidar measurements differed by less than 8%. Comparisons of time series of the Integrated Water Vapor (IWV) content from ground-based remote sensing instruments with in situ soundings showed that microwave radiometers have the highest redundancy and therefore the highest potential to reduce random uncertainty of IWV time series estimated by radiosondes. Moreover, the random uncertainty of a time series from one instrument should be reduced of ~ 60% by constraining the measurements with those from another instrument. The best reduction of random uncertainty resulted from conditioning of Raman lidar measurements with microwave radiometer measurements. Specific instruments are recommended for atmospheric water vapor measurements at GRUAN sites. This approach can be applied to the study of redundant measurements for other climate variables.


2018 ◽  
Vol 38 (2) ◽  
pp. 0201001 ◽  
Author(s):  
王玉峰 Wang Yufeng ◽  
曹小明 Cao Xiaoming ◽  
张晶 Zhang Jing ◽  
汤柳 Tang Liu ◽  
宋跃辉 Song Yuehui ◽  
...  

1995 ◽  
Vol 34 (7) ◽  
pp. 1595-1607 ◽  
Author(s):  
J. R. Wang ◽  
S. H. Melfi ◽  
P. Racette ◽  
D. N. Whitemen ◽  
L. A. Chang ◽  
...  

Abstract Simultaneous measurements of atmospheric water vapor were made by the Millimeter-wave Imaging Radiometer (MIR), Raman lidar, and rawinsondes. Two types of rawinsonde sensor packages (AIR and Vaisala) were carried by the same balloon. The measured water vapor profiles from Raman lidar, and the Vaisala and AIR sondes were used in the radiative transfer calculations. The calculated brightness temperatures were compared with those measured from the MIR at all six frequencies (89, 150, 183.3 ± 1, 183.3 ±3, 183.3 ±7, and 220 GHz). The results show that the MIR-measured brightness temperatures agree well (within ±K) with those calculated from the Raman lidar and Vaisala measurements. The brightness temperatures calculated from the AIR sondes differ from the MIR measurements by as much as 10 K, which can be attributed to low sensitivity of the AIR sondes at relative humidity less than 20%. Both calculated and the MIR-measured brightness temperatures were also used to retrieve water vapor profiles. These retrieved profiles were compared with those measured by the Raman lidar and rawinsondes. The results of these comparisons suggest that the MIR can measure the brightness of a target to an accuracy of at most ±K and is capable of retrieving useful water vapor profiles.


2014 ◽  
Vol 53 (11) ◽  
pp. 114105 ◽  
Author(s):  
Wang Yufeng ◽  
Gao Fei ◽  
Zhu Chengxuan ◽  
Yan Qing ◽  
Hua Dengxin

2013 ◽  
Vol 62 (12) ◽  
pp. 120701
Author(s):  
Wang Hong-Wei ◽  
Hua Deng-Xin ◽  
Wang Yu-Feng ◽  
Gao Peng ◽  
Zhao Hu

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