CALIOP 532 nm通道光电接收系统瞬时响应研究
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摘要
使用Version 3.01(V3)、Version 4.0(V4)星载激光雷达CALIOP Level 1(L1)廓线数据和Level 2(L2)的大气气溶胶和云层数据,对CALIOP 532 nm通道的不理想瞬时响应进行分析。对不同时间、地点的数据进行晴空条件的筛选,比较不同晴空条件下的瞬时响应,再利用夜间特晴条件的数据比较不同天底角、版本数据条件下的瞬时响应,同时也探究了地表信号强度对瞬时响应的影响。结果表明,不同晴空条件的结果不同,提取瞬时响应要选用特晴数据;裸地地表类型(t_IGBP=16)不受其他散射物的影响;V3、V4版本变化及天底角改变对瞬时响应没影响;地表后向散射信号强度大小对瞬时响应有影响,去除了小于0.40 km~(-1)sr~(-1)的弱信号。
CALIOP receiver system transient response of 532 nm channel is not ideal. It is analyzed by using Version 3.01(V3), Version 4.0(V4) Level 1(L1) profile data and Level 2(L2) atmospheric aerosol and cloud layer data. The transient responses are compared in different time and location, different clear atmospheric conditions, different nadir and different version of data. In addition, the influence of surface signal strength on the transient response is explored. Results show that the version change and the nadir change have no effect on the transient response; the clearest air condition is necessary to choose; desert(t_(IGBP)=16) is the better object for the analysis of transient response; the signal strength of surface attenuated backscatter has influence on the transient response. These strengths less than 0.40 km~(-1)sr~(-1) are weak signal,needed to be removed.
CALIOP receiver system transient response of 532 nm channel is not ideal. It is analyzed by using Version 3.01(V3), Version 4.0(V4) Level 1(L1) profile data and Level 2(L2) atmospheric aerosol and cloud layer data. The transient responses are compared in different time and location, different clear atmospheric conditions, different nadir and different version of data. In addition, the influence of surface signal strength on the transient response is explored. Results show that the version change and the nadir change have no effect on the transient response; the clearest air condition is necessary to choose; desert(t_(IGBP)=16) is the better object for the analysis of transient response; the signal strength of surface attenuated backscatter has influence on the transient response. These strengths less than 0.40 km~(-1)sr~(-1) are weak signal,needed to be removed.
引文
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[2]NASA.Quality summary for LIDAR 532-nm detectors transient response[OL].2016.https://eosweb.larc.nasa.gov/sites/default/files/project/calipso/quality_summaries/CALIOP_tran sient_response.pdf.
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[6]Li J,Hu Y,Huang J,et al,A new method for retrieval of the extinction coefficient of water clouds by using the tail of the CALIOP signal[J].2011,Atmos.Chem.Phys.,11(6):2903-2916.
[7]Churnside J H,McCarty B J,Lu X.Subsurface ocean signals from an orbiting polarization lidar[J].Remote Sens.,2013,5(7):3457-3475.
[8]Lu X,Hu Y,Liu Z,et al.CALIOP receiver transient response study[C].Proc.SPIE,Polarization Science and Remote Sensing VI,2013:887316-887316-9.
[9]Jia Jia.Sea Surface Wind Speed Inversion Based on CALIPSO Aerosol Production[D].Qingdao:Master's Thesis of Ocean University of China,2011(in Chinese).贾佳.基于CALIPSO气溶胶产品LIDAR信号反校正的海面风速反演[D].青岛:中国海洋大学硕士论文,2011.
[2]NASA.Quality summary for LIDAR 532-nm detectors transient response[OL].2016.https://eosweb.larc.nasa.gov/sites/default/files/project/calipso/quality_summaries/CALIOP_tran sient_response.pdf.
[3]Hu Y,Powell K,Vaughan M,et al.Elevation information in tail(EIT)technique for lidar altimetry[J].Opt.Express,2007,15(22):14504-14515.
[4]McGill M J,Vaughan M A,Trepte C R,et al.Airborne validation of spatial properties measured by the CALIPSO lidar[J].J.Geophys.Res.:Atmos.,2007,112(D20):D20201.1-D20201.8.
[5]Hunt W H,Winker D M,Vaughan M A,et al.CALIPSO lidar description and performance assessment[J].J.Atmos.Ocean.Tech.,2009,26(7):1214-1228.
[6]Li J,Hu Y,Huang J,et al,A new method for retrieval of the extinction coefficient of water clouds by using the tail of the CALIOP signal[J].2011,Atmos.Chem.Phys.,11(6):2903-2916.
[7]Churnside J H,McCarty B J,Lu X.Subsurface ocean signals from an orbiting polarization lidar[J].Remote Sens.,2013,5(7):3457-3475.
[8]Lu X,Hu Y,Liu Z,et al.CALIOP receiver transient response study[C].Proc.SPIE,Polarization Science and Remote Sensing VI,2013:887316-887316-9.
[9]Jia Jia.Sea Surface Wind Speed Inversion Based on CALIPSO Aerosol Production[D].Qingdao:Master's Thesis of Ocean University of China,2011(in Chinese).贾佳.基于CALIPSO气溶胶产品LIDAR信号反校正的海面风速反演[D].青岛:中国海洋大学硕士论文,2011.