Abstract

Rigorous electromagnetic computations required for the calculation of high-resolution monochromatic bulk integral optical properties of irregular atmospheric particles are onerous in memory and in time requirements. Here, it is shown that from a set of 145 monochromatic bulk integral ice optical properties, it is possible to reduce the set to eight hinge wavelengths by using the method of principal component analysis (PCA) regression. From the eight hinge wavelengths, the full set can be reconstructed to within root mean square errors of $\ll 1\%$. To obtain optimal reconstruction, the training set must cover as wide a range of parameter space as possible. Rigorous electromagnetic methods can now be routinely applied to represent accurately the integral optical properties of atmospheric particles in climate models.

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

Yuxuan Bian, Chunsheng Zhao, Wanyun Xu, Nan Ma, Jiangchuan Tao, Ye Kuang, Gang Zhao, and Hongjian Liu
Opt. Lett. 42(22) 4607-4610 (2017)

Feasibility study of integral property retrieval for tropospheric aerosol from Raman lidar data using principal component analysis

Martin de Graaf, Arnoud Apituley, and David P. Donovan
Appl. Opt. 52(10) 2173-2186 (2013)

Real-time full-field optical angiography utilizing principal component analysis

Mingyi Wang, Caizhong Guan, Wenjian Mao, Honglian Xiong, Haishu Tan, Dingan Hang, and Yaguang Zeng
Opt. Lett. 43(11) 2559-2562 (2018)

Principal component analysis-based quantitative differential interference contrast microscopy

Qi Wei, Yangyang Li, Javier Vargas, Jian Wang, Qingtao Gong, Yan Kong, Zhilong Jiang, Liang Xue, Cheng Liu, Fei Liu, and Shouyu Wang
Opt. Lett. 44(1) 45-48 (2019)

Dependence of atmospheric refractive index structure parameter (Cn2) on the residence time and vertical distribution of aerosols

N. Anand, S. K. Satheesh, and K. Krishna Moorthy
Opt. Lett. 42(14) 2714-2717 (2017)