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Black Carbon Aggregates: A Database for Optical Properties

Liu, Chao and Xu, Xiaofeng and Yin, Yan and Schnaiter, Martin and Yung, Yuk L. (2019) Black Carbon Aggregates: A Database for Optical Properties. Journal of Quantitative Spectroscopy and Radiative Transfer, 222-223 . pp. 170-179. ISSN 0022-4073. http://resolver.caltech.edu/CaltechAUTHORS:20181016-134759925

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Abstract

Black carbon (BC) aerosol plays an important role in the atmosphere as an absorber of solar radiation and contributes significantly to global warming. The optical properties of BC are fundamental for both direct radiative effect studies and remote sensing of BC properties. However, due to the complex aggregation structures of BC particles, accurate simulations of their optical properties are limited and computationally expensive, while equivalent spherical models or approximate methods could easily introduce relative errors up to 30%. This study generates a comprehensive database to calculate aggregate optical properties efficiently and accurately. The database covers a wide range of BC properties including aggregation structure, refractive index, and particle size (both monomer size and number of monomers). An accurate numerical model, i.e. the multiple-sphere T-matrix method, is used to calculate the single-scattering properties of BC clusters in the form of fractal aggregates. By interpolation, the database can be used to give the scattering properties of aggregates with monomer number from 1 up to 3000, monomer size parameter from 0.05 to 0.5, real part of refractive index from 1.2 to 2.0, and imaginary part from 0.2 to 1.0. The relative errors caused by the interpolation are much less than 1% for the single scattering properties. The pre-calculated database and the implementation used to calculate the required aggregate optical properties are publicly available for users interested in remote sensing of BC aerosols and performing radiative effect calculations.


Item Type:Article
Related URLs:
URLURL TypeDescription
https://doi.org/10.1016/j.jqsrt.2018.10.021DOIArticle
ORCID:
AuthorORCID
Schnaiter, Martin0000-0002-9560-8072
Additional Information:© 2018 Elsevier Ltd. Received 5 July 2018, Revised 12 October 2018, Accepted 14 October 2018, Available online 16 October 2018. The database developed in this study is available upon request from Chao Liu (chao_liu@nuist.edu.cn). We thank Daniel W. Mackowski and Michael I. Mishchenko for the MSTM code. This work was supported by the R&D Special Fund for Public Welfare of China (Meteorology) (GYHY201506002), the Natural Science Foundation of China (41505018), the Young Elite Scientists Sponsorship Program by CAST (2017QNRC001), the State Scholarship Fund by the China Scholarship Council (201708320049), and the Helmholtz Research Program Atmosphere and Climate. The computation of this study was supported by the National Supercomputer Center in Guangzhou (NSCC-GZ).
Funders:
Funding AgencyGrant Number
R&D Special Fund for Public Welfare of ChinaGYHY201506002
National Natural Science Foundation of China41505018
Young Elite Scientists Sponsorship Program2017QNRC001
China Association for Science and TechnologyUNSPECIFIED
China Scholarship Council201708320049
Helmholtz Research Program Atmosphere and ClimateUNSPECIFIED
National Supercomputer CenterUNSPECIFIED
Subject Keywords:Black carbon; fractal aggregate; optical properties
Record Number:CaltechAUTHORS:20181016-134759925
Persistent URL:http://resolver.caltech.edu/CaltechAUTHORS:20181016-134759925
Official Citation:Chao Liu, Xiaofeng Xu, Yan Yin, Martin Schnaiter, Yuk L. Yung, Black carbon aggregates: A database for optical properties, Journal of Quantitative Spectroscopy and Radiative Transfer, Volumes 222–223, 2019, Pages 170-179, ISSN 0022-4073, https://doi.org/10.1016/j.jqsrt.2018.10.021. (http://www.sciencedirect.com/science/article/pii/S0022407318304722)
Usage Policy:No commercial reproduction, distribution, display or performance rights in this work are provided.
ID Code:90282
Collection:CaltechAUTHORS
Deposited By: Tony Diaz
Deposited On:16 Oct 2018 21:26
Last Modified:30 Oct 2018 16:14

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