Development of a field-widened Michelson spectroscopic filter for a polarized near-infrared high spectral resolution lidar

2013 ◽  
Author(s):  
Dong Liu ◽  
Yongying Yang ◽  
Zhongtao Cheng ◽  
Tong Ling ◽  
Hanlu Huang ◽  
...  
Keyword(s):  
Spectral Resolution ◽  
Near Infrared ◽  
High Spectral Resolution ◽  
High Spectral Resolution Lidar

Spectrum Filter Performance Analysis on Near-Infrared High-Spectral-Resolution Lidar

2016 ◽  
Vol 43 (4) ◽  
pp. 0414004
Author(s):  
张与鹏 Zhang Yupeng ◽  
刘东 Liu Dong ◽  
杨甬英 Yang Yongying ◽  
罗敬 Luo Jing ◽  
成中涛 Cheng Zhongtao ◽  
...  
Keyword(s):  
Performance Analysis ◽  
Spectral Resolution ◽  
Near Infrared ◽  
High Spectral Resolution ◽  
Filter Performance ◽  
High Spectral Resolution Lidar

Design of a field-widened Michelson interferometer for a near-infrared high spectral resolution lidar

2013 ◽  
Author(s):  
Hanlu Huang ◽  
Dong Liu ◽  
Yongying Yang ◽  
Zhongtao Cheng ◽  
Shitong Wang ◽  
...  
Keyword(s):  
Spectral Resolution ◽  
Near Infrared ◽  
Michelson Interferometer ◽  
High Spectral Resolution ◽  
High Spectral Resolution Lidar

Development of the ZJU polarized near-infrared high spectral resolution lidar

2013 ◽  
Author(s):  
Dong Liu ◽  
Yongying Yang ◽  
Zhongtao Cheng ◽  
Hanlu Huang ◽  
Bo Zhang ◽  
...  
Keyword(s):  
Spectral Resolution ◽  
Near Infrared ◽  
High Spectral Resolution ◽  
High Spectral Resolution Lidar

scholarly journals Observations of the spectral dependence of linear particle depolarization ratio of aerosols using NASA Langley airborne High Spectral Resolution Lidar

2015 ◽  
Vol 15 (23) ◽  
pp. 13453-13473 ◽  
Author(s):  
S. P. Burton ◽  
J. W. Hair ◽  
M. Kahnert ◽  
R. A. Ferrare ◽  
C. A. Hostetler ◽  
...  
Keyword(s):  
Case Studies ◽  
Spectral Resolution ◽  
Spectral Dependence ◽  
Saharan Dust ◽  
Spherical Particles ◽  
High Spectral Resolution ◽  
Depolarization Ratio ◽  
Dust Layer ◽  
High Spectral Resolution Lidar ◽  
532 Nm

Abstract. Linear particle depolarization ratio is presented for three case studies from the NASA Langley airborne High Spectral Resolution Lidar-2 HSRL-2). Particle depolarization ratio from lidar is an indicator of non-spherical particles and is sensitive to the fraction of non-spherical particles and their size. The HSRL-2 instrument measures depolarization at three wavelengths: 355, 532, and 1064 nm. The three measurement cases presented here include two cases of dust-dominated aerosol and one case of smoke aerosol. These cases have partial analogs in earlier HSRL-1 depolarization measurements at 532 and 1064 nm and in literature, but the availability of three wavelengths gives additional insight into different scenarios for non-spherical particles in the atmosphere. A case of transported Saharan dust has a spectral dependence with a peak of 0.30 at 532 nm with smaller particle depolarization ratios of 0.27 and 0.25 at 1064 and 355 nm, respectively. A case of aerosol containing locally generated wind-blown North American dust has a maximum of 0.38 at 1064 nm, decreasing to 0.37 and 0.24 at 532 and 355 nm, respectively. The cause of the maximum at 1064 nm is inferred to be very large particles that have not settled out of the dust layer. The smoke layer has the opposite spectral dependence, with the peak of 0.24 at 355 nm, decreasing to 0.09 and 0.02 at 532 and 1064 nm, respectively. The depolarization in the smoke case may be explained by the presence of coated soot aggregates. We note that in these specific case studies, the linear particle depolarization ratio for smoke and dust-dominated aerosol are more similar at 355 nm than at 532 nm, having possible implications for using the particle depolarization ratio at a single wavelength for aerosol typing.

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