Optimization Method for Planetary Boundary Layer Height Retrieval by Lidar

被引:0
|
作者
Yu Siqi [1 ,2 ,3 ]
Liu Dong [2 ,3 ]
Xu Jiwei [2 ,3 ,4 ]
Wang Zhenzhu [2 ,3 ]
Wu Decheng [2 ,3 ]
Qian Liyong [2 ,3 ,4 ]
Mao Minjuan [5 ]
Wang Yingjian [1 ,2 ,3 ]
机构
[1] Univ Sci & Technol China, Sch Environm Sci & Optoelect Technol, Hefei 230026, Anhui, Peoples R China
[2] Chinese Acad Sci, Anhui Inst Opt & Fine Mech, Key Lab Atmospher Opt, Hefei 230031, Anhui, Peoples R China
[3] Adv Laser Technol Lab Anhui Prov, Hefei 230037, Anhui, Peoples R China
[4] Univ Sci & Technol China, Grad Sch, Sci Isl Branch, Hefei 230026, Anhui, Peoples R China
[5] Zhejiang Meteorol Sci Inst, Hangzhou 310008, Zhejiang, Peoples R China
关键词
remote sensing; lidar; planetary boundary layer height; wavelet covariance transform method; 2-D matrix method;
D O I
10.3788/A0S202111.0728002
中图分类号
O43 [光学];
学科分类号
070207 ; 0803 ;
摘要
Duc to the complex vertical distribution of aerosols in the atmosphere, the commonly used gradient method and wavelet covariance transform (WCT) method still have large uncertainties in automatically and continuously identifying the planetary boundary layer height (PHLH). For this reason, we applied the 2-D matrix method to the retrieval of PBLH in two cases observed by a dual -wavelength lidar over Jinhua city. The 2-D matrix method optimizes PHI,H retrieval results from the distance and time dimensions. The results show that in the case of profiles with multi -layer aerosols, the 2-D matrix method is superior to the WCT method in terms of PBLH retrieval. The correlation coefficient between the PBLH retrieved by the 2-D matrix method at 532 nm and that by the WCT method at 1061 nm is 0.87. However, the correlation coefficient is only 0.37 if the 2-D matrix method is replaced by the WCT method at 532 nm. Additionally, the consistent variation trend in PBLH and surface temperature indicates reliable PBLH retrieval results. The 2-D matrix method provides a reference for the automatic and continuous identification of the PBLH by lidar in the absence of low clouds (no clouds appearing below 3 km).
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页数:9
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