Inversion algorithm of black carbon mixing state based on machine learning

Inversion algorithm of black carbon mixing state based on machine learning

<p>The radiative properties of black carbon (BC) are significantly influenced by its mixing state. The single-particle soot photometer (SP2) is a widely recognized instrument for quantifying BC mixing state. However, the derivation of BC mixing state from SP2 is quite challenging. Since the SP...

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Bibliographic Details
Main Authors: Z. Tian, J. Wang, C. Liu, J. Xing, Z. Zhang, Y. Jin, S. Shen, B. Wang, W. Nie, X. Huang, A. Ding
Format: Article
Language:English
Published: Copernicus Publications 2025-03-01
Series:Atmospheric Measurement Techniques
Online Access:https://amt.copernicus.org/articles/18/1149/2025/amt-18-1149-2025.pdf
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