Comparison of Retrieval Methods of Planetary Boundary Layer Height from Lidar Data

Abstract

Abstract:

As the most closely related layer with human, the planetary boundary layer's height directly reflects the state of the atmosphere near the ground. Now the lidar has become the most effective tool to observe the planetary boundary layer, but the retrieval of the planetary boundary layer height from a large number of measured data limited its application. Four kinds of commonly used methods, such as the gradient method, standard deviation method, fitting method and wavelet covariance transform method, are introduced and analyzed, with the continuously measured data of polarization-Raman-Mie scattering lidar. The results show that the four methods have their own advantages and disadvantages. The gradient method, the standard deviation method and the wavelet covariance transform method are similar and accurate in data process, but not stable. The fitting method has good stability, but its derivation is not so accurate relative to the three methods above. All in all, the fitting method is better to be used to process a large number of data.

Key words: lidar, planetary boundary layer, gradient method, standard deviation method, fitting method, wavelet covariance transform method

CLC Number:

P404

WANG Lin, XIE Chen-Bo, HAN Yong, LIU Dong, WEI He-Li. Comparison of Retrieval Methods of Planetary Boundary Layer Height from Lidar Data[J]. Journal of Atmospheric and Environmental Optics, 2012, (4): 241-.

References

[1] Stull R B. An Introduction to Boundary Layer Meteorology [M]. Norwell: Kluwer Academic Publishers, 1988.
[2] Xie Chenbo, Mao Minjuan, Yue Guming, et al. New mobile lidar for the measurement of tropospheric aerosol [J]. Spectroscopy and Spectral Analysis, 2006, 26(11): 1973-1976(in Chinese).
谢晨波, 毛敏娟, 岳古明, 等. 新型车载式激光雷达探测对流层气溶胶 [J]. 光谱学与光谱分析, 2006, 26(11): 1973-1976.
[3] Xie Chenbo, Zhou Jun, Yue Guming, et al. New mobile Raman lidar for measurement of tropospheric water vapor [J]. Acta Optica Sinica, 2006, 26(9): 1281-1286(in Chinese).
谢晨波, 周军, 岳古明, 等. 新型车载式拉曼激光雷达测量对流层水汽 [J]. 光学学报, 2006, 26(9): 1281-1286.
[4] Xie C B, Zhou J, Sugimoto N, et al. Aerosol observation with Raman lidar in Beijing, China [J]. Journal of the Optical Society of Korea, 2010, 14(3): 215-220.
[5] Xie C B, Nishizawa T, Sugimoto N, et al. Characteristics of aerosol optical properties in pollution and Asian dust episodes over Beijing, China [J]. Appl. Opt., 2008, 47(27): 4945-4951.
[6] Kunkel K E, Eloranta E W, Shipley S T. Lidar observations of the convection boundary layer [J]. Appl. Meteorol., 1977, 16: 1306-1311.
[7] Wang Zhenzhu, Li Ju, Zhong Zhiqing, et al. Lidar exploration of atmospheric boundary layer over downtown of Beijing in summer [J]. Journal of Applied Optics, 2008, 29(1): 96-100(in Chinese). 王珍珠, 李炬, 钟志庆, 等. 激光雷达探测北京城区夏季大气边界层 [J]. 应用光学, 2008, 29(1): 96-100.
[8] Hooper W P, Eloranta E W. Lidar measurements of wind in the planetary boundary layer: the method, accuracy and results from joint measurements with radiosonde and kytoon [J]. J Climate Appl. Meteorol., 1986, 25(7): 990-1001.
[9] Steyn D G, Baldi M, Hoff R M. The detection of mixed layer depth and entrainment zone thickness from lidar backscatter profiles [J]. J. Atmos. Technol., 1999, 16(7): 953-959.
[10] Brooks I M. Finding boundary layer top: application of a wavelet covariance transform to lidar backscatter profiles [J]. J. Atmos. Ocean. Technol., 2003, 20(8): 1092-1105.

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Comparison of Retrieval Methods of Planetary Boundary Layer Height from Lidar Data

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