Articles | Volume 24, issue 8
https://doi.org/10.5194/acp-24-5025-2024
https://doi.org/10.5194/acp-24-5025-2024
Research article
 | 
29 Apr 2024
Research article |  | 29 Apr 2024

Global aerosol-type classification using a new hybrid algorithm and Aerosol Robotic Network data

Xiaoli Wei, Qian Cui, Leiming Ma, Feng Zhang, Wenwen Li, and Peng Liu

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Subject: Aerosols | Research Activity: Atmospheric Modelling and Data Analysis | Altitude Range: Troposphere | Science Focus: Physics (physical properties and processes)
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Yahui Che, Bofu Yu, and Katherine Bracco
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Cited articles

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Short summary
A new aerosol-type classification algorithm has been proposed. It includes an optical database built by Mie scattering and a complex refractive index working as a baseline to identify different aerosol types. The new algorithm shows high accuracy and efficiency. Hence, a global map of aerosol types was generated to characterize aerosol types across the five continents. It will help improve the accuracy of aerosol inversion and determine the sources of aerosol pollution.
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