An iterative calibrating method for airborne atmospheric detection lidar based on the klett forward integral equation

被引：5
作者：
Liu, Houtong [1 ]
Wang, Zhenzhu [2 ]
机构：
[1] Anhui Univ Technol, Coll Math Phys & Engn, Maanshan 243002, Peoples R China
[2] Chinese Acad Sci, Anhui Inst Opt & Fine Mech, Key Lab Atmospher Opt, Hefei 230031, Anhui, Peoples R China
来源：
OPTICS COMMUNICATIONS | 2019年 / 452卷
基金：
中国国家自然科学基金;
关键词：
Airborne lidar; Klett algorithm; Calibration; Slope calibration method; OPTICAL-PROPERTIES; VERTICAL-DISTRIBUTION; AEROSOL; SCATTERING; INVERSION; SYSTEM; RETRIEVAL; PROFILE; PLUME; INDIA;
D O I：
10.1016/j.optcom.2019.07.068
中图分类号：
O43 [光学];
学科分类号：
070207 ; 0803 ;
摘要：
The calibration method of airborne atmospheric detection lidar is a subject worthy of study. A forward iterative calibration method for Klett forward integral equation is presented in this paper. The results of the preliminary inversion show that after 2 similar to 3 times forward integration iterations, the airborne lidar data are accurately calibrated and that the accurate aerosol extinction coefficient profile can be obtained. By comparison with other two calibration methods, the Klett iterative calibration method, with smaller errors in calibration, is superior to the slope method and the calibration method by means of aerosol-free layer in stable accuracy.
引用
收藏
页码：476 / 480
页数：5
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