Literature DB >> 18071372

Possibilities of warm cloud microstructure profiling with multiple-field-of-view Raman lidar.

Aleksey V Malinka1, Eleonora P Zege.   

Abstract

The possibilities of cloud characteristics retrieval with multiple-field-of-view Raman lidar are considered. It has been shown that the Raman lidar return is sensitive to two cloud characteristics; the scattering coefficient and the effective droplet size. This sensitivity is studied and the optimal receiver fields-of-view (FOVs) for cloud sounding are recommended. The optimal FOV values are estimated to be approximately R/H (R, the collecting optics radius, H, the cloud altitude) to measure the scattering coefficient profiles, and approximately 0.01z/H for the droplet size measurements (z, the cloud thickness). The algorithm based on the iterative scheme and singular value decomposition as a regularization procedure is presented and verified using computer simulation. The recommendations for profile retrieval with variable altitude resolution are given.

Year:  2007        PMID: 18071372     DOI: 10.1364/ao.46.008419

Source DB:  PubMed          Journal:  Appl Opt        ISSN: 1559-128X            Impact factor:   1.980


  2 in total

1.  Water Cloud Detection with Circular Polarization Lidar: A Semianalytic Monte Carlo Simulation Approach.

Authors:  Wiqas Ahmad; Kai Zhang; Yicheng Tong; Da Xiao; Lingyun Wu; Dong Liu
Journal:  Sensors (Basel)       Date:  2022-02-21       Impact factor: 3.576

2.  Dual-field-of-view high-spectral-resolution lidar: Simultaneous profiling of aerosol and water cloud to study aerosol-cloud interaction.

Authors:  Nanchao Wang; Kai Zhang; Xue Shen; Yuan Wang; Jing Li; Chengcai Li; Jietai Mao; Aleksey Malinka; Chuanfeng Zhao; Lynn M Russell; Jianping Guo; Silke Gross; Chong Liu; Jing Yang; Feitong Chen; Lingyun Wu; Sijie Chen; Ju Ke; Da Xiao; Yudi Zhou; Jing Fang; Dong Liu
Journal:  Proc Natl Acad Sci U S A       Date:  2022-03-02       Impact factor: 11.205

  2 in total

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