Analysis of Error Sources on Water Vapour Observed by Raman Lidar

Journal of Atmospheric and Environmental Optics ›› 2018, Vol. 13 ›› Issue (3): 170-177.

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Analysis of Error Sources on Water Vapour Observed by Raman Lidar

SHI Yue1,2, XIE Chenbo1*, TAN Min1,2, WANG Bangxin1,2, WU Decheng1, LIU Dong1, WANG Yingjian1,2

(1 Key Laboratory of Atmospheric Optics, Anhui Institute of Optics and Fine Mechanics, Chinese Academy of Sciences, Hefei 230031, China;
2 University of Science and Technology of China, Hefei 230026, China)

Received:2017-01-17 Revised:2017-02-13 Online:2018-05-28 Published:2018-05-31
Supported by:
Supported by National Natural Science Foundation of China(国家自然科学基金，41405032), Key Research Program of the Chinese Academy of Sciences(中国科学院重点部署项目，KJZD-EW-TZ-G06-01), Independent Innovation Project of Anhui Province (安徽省自主创新专项，12Z0104074)

Abstract

Abstract:

Water vapour has a closely effect on human being. When detecting water vapour, the traditional tools have low spatio-temporal resolution. Lidar can improve the credibility of weather forecast. According to the theory of error analysis, the error sources of water vapour and their contributions are studied form the experimental data. Meanwhile, the computed relative errors are compared with that calculated relative errors from Raman lidar and radiosonde data. It turns out that the error sources on water vapour observed by Raman lidar includes the calibration constant, the transmission correction and the Raman scattering signals. The calibration constant error is about 4% and constant with height, and it is the major contribution to the total error under 1.5 km height. The transmission correction error increases slowly along with the height and less than 4% in the condition of clean air. The Raman scattering signals error is less than 20% under 3 km height, but it becomes the main source above 3 km height. The comparison shows that the relative error derived by Raman Lidar agrees well with the calculated relative error. In summary, the analysis results above are helpful to promote the application of Raman lidar in weather forecast.

Key words: Raman lidar, water vapour mixing ratio, error analysis

CLC Number:

SHI Yue, XIE Chen-Bo, TAN Min, WANG Bang-Xin, WU De-Cheng, LIU Dong, WANG Ying-Jian. Analysis of Error Sources on Water Vapour Observed by Raman Lidar[J]. Journal of Atmospheric and Environmental Optics, 2018, 13(3): 170-177.

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Analysis of Error Sources on Water Vapour Observed by Raman Lidar

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