This is FAST: multivariate Full-permutAtion based Stochastic foresT method-improving the retrieval of fine-mode aerosol microphysical properties with multi-wavelength lidar-MedSci.cn

This is FAST: multivariate Full-permutAtion based Stochastic foresT method-improving the retrieval of fine-mode aerosol microphysical properties with multi-wavelength lidar

Wang, NC; Xiao, D; Veselovskii, I; Wang, Y; Russell, LM; Zhao, CF; Guo, JP; Li, CC; Gross, S; Liu, X; Ni, XQ; Tan, LZ; Liu, YX; Zhang, K; Tong, YC; Wu, LY; Chen, FT; Wang, BY; Liu, C; Chen, WB; Liu, D

Liu, D (通讯作者)，Zhejiang Univ, Coll Opt Sci & Engn, State Key Lab Modern Opt Instrumentat, Hangzhou 310000, Peoples R China.;Chen, WB (通讯作者)，Chinese Acad Sci, Shanghai Inst Opt & Fine Mech, Key Lab Space Laser Commun & Detect Technol, Shanghai 201800, Peoples R China.

Abstract

Despite the small size and ubiquitous presence, fine-mode aerosols play a vital role in climate change and human health, especially in highly populate......

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This is FAST: multivariate Full-permutAtion based Stochastic foresT method-improving the retrieval of fine-mode aerosol microphysical properties with multi-wavelength lidar

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