Method to retrieve the nocturnal aerosol optical depth with a CCD laser aerosol detective system

被引:15
作者
Bian, Yuxuan [1 ,2 ]
Zhao, Chunsheng [2 ]
Xu, Wanyun [1 ,3 ]
Ma, Nan [2 ,4 ]
Tao, Jiangchuan [2 ]
Kuang, Ye [2 ]
Zhao, Gang [2 ]
Liu, Hongjian [2 ]
机构
[1] Chinese Acad Meteorol Sci, State Key Lab Severe Weather, Beijing 100081, Peoples R China
[2] Peking Univ, Sch Phys, Dept Atmospher & Ocean Sci, Beijing 100871, Peoples R China
[3] Chinese Acad Meteorol Sci, Key Lab Atmospher Chem CMA, Beijing, Peoples R China
[4] Leibniz Inst Tropospher Res, D-04318 Leipzig, Germany
基金
中国国家自然科学基金;
关键词
NORTH CHINA PLAIN; LIDAR; SATELLITE; RADIANCE; NETWORK; AERONET; MOON; SUN;
D O I
10.1364/OL.42.004607
中图分类号
O43 [光学];
学科分类号
070207 ; 0803 ;
摘要
Aerosol optical depth (AOD) is a crucial parameter in describing the atmospheric pollution and analyzing the influences of aerosol on the radiative equilibrium. Currently, no method can precisely and continuously measure the nocturnal AOD. In this study, a novel method was developed to retrieve the nocturnal AOD based on a remote sensing instrument called the charge-coupled device-laser aerosol detective system (CCD-LADS). CCD-LADS consists of a CCD camera, a continuous laser, a fisheye lens, and related filters. The AOD can be calculated by integrating the aerosol extinction coefficient profile retrieved from CCD-LADS measurements. The retrieved AOD was validated with AERONET and MODIS data sets. The comparison shows good agreement. (C) 2017 Optical Society of America
引用
收藏
页码:4607 / 4610
页数:4
相关论文
共 23 条
[1]  
[Anonymous], 2006, ATMOS CHEM PHYS
[2]   Synchronous polar winter starphotometry and lidar measurements at a High Arctic station [J].
Baibakov, K. ;
O'Neill, N. T. ;
Ivanescu, L. ;
Duck, T. J. ;
Perro, C. ;
Herber, A. ;
Schulz, K. -H. ;
Schrems, O. .
ATMOSPHERIC MEASUREMENT TECHNIQUES, 2015, 8 (09) :3789-3809
[3]   Atmospheric aerosol profiling with a bistatic imaging lidar system [J].
Barnes, John E. ;
Sharma, N. C. Parikh ;
Kaplan, Trevor B. .
APPLIED OPTICS, 2007, 46 (15) :2922-2929
[4]   A new method for nocturnal aerosol measurements with a lunar photometer prototype [J].
Barreto, A. ;
Cuevas, E. ;
Damiri, B. ;
Guirado, C. ;
Berkoff, T. ;
Berjon, A. J. ;
Hernandez, Y. ;
Almansa, F. ;
Gil, M. .
ATMOSPHERIC MEASUREMENT TECHNIQUES, 2013, 6 (03) :585-598
[5]   Nocturnal Aerosol Optical Depth Measurements with a Small-Aperture Automated Photometer Using the Moon as a Light Source [J].
Berkoff, Timothy A. ;
Sorokin, Mikail ;
Stone, Tom ;
Eck, Thomas F. ;
Hoff, Raymond ;
Welton, Ellsworth ;
Holben, Brent .
JOURNAL OF ATMOSPHERIC AND OCEANIC TECHNOLOGY, 2011, 28 (10) :1297-1306
[6]   A study of aerosol liquid water content based on hygroscopicity measurements at high relative humidity in the North China Plain [J].
Bian, Y. X. ;
Zhao, C. S. ;
Ma, N. ;
Chen, J. ;
Xu, W. Y. .
ATMOSPHERIC CHEMISTRY AND PHYSICS, 2014, 14 (12) :6417-6426
[7]   Development and validation of a CCD-laser aerosol detective system for measuring the ambient aerosol phase function [J].
Bian, Yuxuan ;
Zhao, Chunsheng ;
Xu, Wanyun ;
Zhao, Gang ;
Tao, Jiangchuan ;
Kuang, Ye .
ATMOSPHERIC MEASUREMENT TECHNIQUES, 2017, 10 (06) :2313-2322
[8]   Accuracy assessments of aerosol optical properties retrieved from Aerosol Robotic Network (AERONET) Sun and sky radiance measurements [J].
Dubovik, O ;
Smirnov, A ;
Holben, BN ;
King, MD ;
Kaufman, YJ ;
Eck, TF ;
Slutsker, I .
JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES, 2000, 105 (D8) :9791-9806
[9]   Evaluation of Mixing-Height Retrievals from Automatic Profiling Lidars and Ceilometers in View of Future Integrated Networks in Europe [J].
Haeffelin, M. ;
Angelini, F. ;
Morille, Y. ;
Martucci, G. ;
Frey, S. ;
Gobbi, G. P. ;
Lolli, S. ;
O'Dowd, C. D. ;
Sauvage, L. ;
Xueref-Remy, I. ;
Wastine, B. ;
Feist, D. G. .
BOUNDARY-LAYER METEOROLOGY, 2012, 143 (01) :49-75
[10]   A parameterization scheme of aerosol vertical distribution for surface-level visibility retrieval from satellite remote sensing [J].
He, Qianshan ;
Li, Chengcai ;
Geng, Fuhai ;
Zhou, Guangqiang ;
Gao, Wei ;
Yu, Wei ;
Li, Zhenkun ;
Du, Mingbin .
REMOTE SENSING OF ENVIRONMENT, 2016, 181 :1-13