Articles | Volume 19, issue 20
Atmos. Chem. Phys., 19, 12875–12885, 2019
https://doi.org/10.5194/acp-19-12875-2019
Atmos. Chem. Phys., 19, 12875–12885, 2019
https://doi.org/10.5194/acp-19-12875-2019
Research article
16 Oct 2019
Research article | 16 Oct 2019

A new parameterization scheme for the real part of the ambient urban aerosol refractive index

Gang Zhao et al.

Related authors

New method to determine black carbon mass size distribution
Weilun Zhao, Gang Zhao, Ying Li, Song Guo, Nan Ma, Lizi Tang, Zirui Zhang, and Chunsheng Zhao
Atmos. Meas. Tech., 15, 6807–6817, https://doi.org/10.5194/amt-15-6807-2022,https://doi.org/10.5194/amt-15-6807-2022, 2022
Short summary
Mixing state of black carbon at different atmospheres in north and southwest China
Gang Zhao, Tianyi Tan, Shuya Hu, Zhuofei Du, Dongjie Shang, Zhijun Wu, Song Guo, Jing Zheng, Wenfei Zhu, Mengren Li, Limin Zeng, and Min Hu
Atmos. Chem. Phys., 22, 10861–10873, https://doi.org/10.5194/acp-22-10861-2022,https://doi.org/10.5194/acp-22-10861-2022, 2022
Short summary
Method to quantify black carbon aerosol light absorption enhancement with a mixing state index
Gang Zhao, Tianyi Tan, Yishu Zhu, Min Hu, and Chunsheng Zhao
Atmos. Chem. Phys., 21, 18055–18063, https://doi.org/10.5194/acp-21-18055-2021,https://doi.org/10.5194/acp-21-18055-2021, 2021
Short summary
New correction method for the scattering coefficient measurements of a three-wavelength nephelometer
Jie Qiu, Wangshu Tan, Gang Zhao, Yingli Yu, and Chunsheng Zhao
Atmos. Meas. Tech., 14, 4879–4891, https://doi.org/10.5194/amt-14-4879-2021,https://doi.org/10.5194/amt-14-4879-2021, 2021
Short summary
Impact of aerosol–radiation interaction on new particle formation
Gang Zhao, Yishu Zhu, Zhijun Wu, Taomou Zong, Jingchuan Chen, Tianyi Tan, Haichao Wang, Xin Fang, Keding Lu, Chunsheng Zhao, and Min Hu
Atmos. Chem. Phys., 21, 9995–10004, https://doi.org/10.5194/acp-21-9995-2021,https://doi.org/10.5194/acp-21-9995-2021, 2021
Short summary

Related subject area

Subject: Aerosols | Research Activity: Field Measurements | Altitude Range: Troposphere | Science Focus: Physics (physical properties and processes)
Measurement report: Increasing trend of atmospheric ion concentrations in the boreal forest
Juha Sulo, Janne Lampilahti, Xuemeng Chen, Jenni Kontkanen, Tuomo Nieminen, Veli-Matti Kerminen, Tuukka Petäjä, Markku Kulmala, and Katrianne Lehtipalo
Atmos. Chem. Phys., 22, 15223–15242, https://doi.org/10.5194/acp-22-15223-2022,https://doi.org/10.5194/acp-22-15223-2022, 2022
Short summary
Vertical profiles of cloud condensation nuclei number concentration and its empirical estimate from aerosol optical properties over the North China Plain
Rui Zhang, Yuying Wang, Zhanqing Li, Zhibin Wang, Russell R. Dickerson, Xinrong Ren, Hao He, Fei Wang, Ying Gao, Xi Chen, Jialu Xu, Yafang Cheng, and Hang Su
Atmos. Chem. Phys., 22, 14879–14891, https://doi.org/10.5194/acp-22-14879-2022,https://doi.org/10.5194/acp-22-14879-2022, 2022
Short summary
Measurement report: The Urmia playa as a source of airborne dust and ice-nucleating particles – Part 1: Correlation between soils and airborne samples
Nikou Hamzehpour, Claudia Marcolli, Sara Pashai, Kristian Klumpp, and Thomas Peter
Atmos. Chem. Phys., 22, 14905–14930, https://doi.org/10.5194/acp-22-14905-2022,https://doi.org/10.5194/acp-22-14905-2022, 2022
Short summary
Constraining the particle-scale diversity of black carbon light absorption using a unified framework
Payton Beeler and Rajan K. Chakrabarty
Atmos. Chem. Phys., 22, 14825–14836, https://doi.org/10.5194/acp-22-14825-2022,https://doi.org/10.5194/acp-22-14825-2022, 2022
Short summary
Survival probability of new atmospheric particles: closure between theory and measurements from 1.4 to 100 nm
Runlong Cai, Chenjuan Deng, Dominik Stolzenburg, Chenxi Li, Junchen Guo, Veli-Matti Kerminen, Jingkun Jiang, Markku Kulmala, and Juha Kangasluoma
Atmos. Chem. Phys., 22, 14571–14587, https://doi.org/10.5194/acp-22-14571-2022,https://doi.org/10.5194/acp-22-14571-2022, 2022
Short summary

Cited articles

An, Z., Huang, R.-J., Zhang, R., Tie, X., Li, G., Cao, J., Zhou, W., Shi, Z., Han, Y., Gu, Z., and Ji, Y.: Severe haze in northern China: A synergy of anthropogenic emissions and atmospheric processes, P. Natl. Acad. Sci. USA, 116, 8657–8666, https://doi.org/10.1073/pnas.1900125116, 2019. 
Bohren, C. F. and Huffman, D. R.: Absorption and Scattering by a Sphere, in: Absorption and Scattering of Light by Small Particles, Wiley-VCH Verlag GmbH, 82–129, 2007. 
Cai, Y., Montague, D. C., and Deshler, T.: Comparison of measured and calculated scattering from surface aerosols with an average, a size-dependent, and a time-dependent refractive index, J. Geophys. Res., 116, https://doi.org/10.1029/2010jd014607, 2011. 
Dubovik, O.: Variability of absorption and optical properties of key aerosol types observed in worldwide locations, J. Atmos. Sci., 59, 590–608, 2002. 
Guyon, P., Boucher, O., Graham, B., Beck, J., Mayol-Bracero, O. L., Roberts, G. C., Maenhaut, W., Artaxo, P., and Andreae, M. O.: Refractive index of aerosol particles over the Amazon tropical forest during LBA-EUSTACH 1999, J. Aerosol Sci., 34, 883–907, https://doi.org/10.1016/s0021-8502(03)00052-1, 2003. 
Download
Short summary
Traditionally, the real part of the refractive index (RRI) of ambient aerosols is calculated by their chemical components. In this study, we demonstrate that the RRI is highly related to effective density rather than chemical components using field measurements. For the first time, a parameterization scheme for ambient aerosol RRI using effective density is proposed. This simple scheme is more reliable and ready to use in the calculation of aerosol optics and radiation.
Altmetrics
Final-revised paper
Preprint