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Dual-field-of-view high-spectral-resolution lidar: Simultaneous profiling of aerosol and water cloud to study aerosol–cloud interaction

Wang, Nanchao and Zhang, Kai and Shen, Xue and Wang, Yuan and Li, Jing and Li, Chencai and Mao, Jietai and Malinka, Aleksey and Zhao, Chuanfeng and Russell, Lynn M. and Guo, Jianping and Gross, Silke and Liu, Chong and Yang, Jing and Chen, Feitong and Wu, Lingyun and Chen, Sijie and Ke, Ju and Xiao, Da and Zhou, Yudi and Fang, Jing and Liu, Dong (2022) Dual-field-of-view high-spectral-resolution lidar: Simultaneous profiling of aerosol and water cloud to study aerosol–cloud interaction. Proceedings of the National Academy of Sciences of the United States of America, 119 (10). Art. No. e2110756119. ISSN 0027-8424. doi:10.1073/pnas.2110756119. https://resolver.caltech.edu/CaltechAUTHORS:20220303-400179000

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Abstract

Aerosol–cloud interaction (ACI) is complex and difficult to be well represented in current climate models. Progress on understanding ACI processes, such as the influence of aerosols on water cloud droplet formation, is hampered by inadequate observational capability. Hitherto, high-resolution and simultaneous observations of diurnal aerosol loading and cloud microphysical properties are challenging for current remote-sensing techniques. To overcome this conundrum, we introduce the dual-field-of-view (FOV) high-spectral-resolution lidar (HSRL) for simultaneously profiling aerosol and water cloud properties, especially water cloud microphysical properties. Continuous observations of aerosols and clouds using this instrument, verified by the Monte Carlo simulation and coincident observations of other techniques, were conducted to investigate the interactions between aerosol loading and water cloud microphysical properties. A case study over Beijing highlights the scientific potential of dual-FOV HSRL to become a significant contributor to the ACI investigations. The observed water cloud profiles identify that due to air entrainment its vertical structure is not perfectly adiabatic, as assumed by many current retrieval methods. Our ACI analysis shows increased aerosol loading led to increased droplet number concentration and decreased droplet effective radius—consistent with expectations—but had no discernible increase on liquid water path. This finding supports the hypothesis that aerosol-induced cloud water increase caused by suppressed rain formation can be canceled out by enhanced evaporation. Thus, these observations obtained from the dual-FOV HSRL constitute substantial and significant additions to understanding ACI process. This technique is expected to represent a significant step forward in characterizing ACI.


Item Type:Article
Related URLs:
URLURL TypeDescription
https://doi.org/10.1073/pnas.2110756119DOIArticle
https://ncc.nesdis.noaa.gov/VIIRS/Related ItemVIIRS data
ORCID:
AuthorORCID
Wang, Nanchao0000-0002-5037-4145
Wang, Yuan0000-0001-6657-8401
Li, Jing0000-0003-0639-9422
Li, Chencai0000-0001-8860-1916
Malinka, Aleksey0000-0002-0651-5115
Zhao, Chuanfeng0000-0002-5196-3996
Russell, Lynn M.0000-0002-6108-2375
Guo, Jianping0000-0001-8530-8976
Zhou, Yudi0000-0002-8125-252X
Liu, Dong0000-0002-2463-832X
Additional Information:© 2022 the Author(s). Published by PNAS. This open access article is distributed under Creative Commons Attribution-NonCommercial-NoDerivatives License 4.0 (CC BY-NC-ND). Received: June 10, 2021. Accepted: January 22, 2022. Published online: March 2, 2022. Published in issue: March 8, 2022. This article is a PNAS Direct Submission. We specially acknowledge Dr. Daniel Rosenfeld (Hebrew University of Jerusalem) and Dr. Zongyin Yang (Zhejiang University) for their valuable comments to improve the manuscript. We acknowledge Dr. Lei Bi and Dr. Wushao Lin (Zhejiang University) for their great help on the cloud depolarization simulations. This study was supported by the National Key Research and Development Program of China (2016YFC0200700), the National Natural Science Foundation of China (41775023, 41925022), the Excellent Young Scientist Program of Zhejiang Provincial Natural Science Foundation of China (LR19D050001), Fundamental Research Funds for the Central Universities (2019FZJD011), the State Key Laboratory of Modern Optical Instrumentation Innovation Program (MOI2018ZD01), and the Belarusian State Research Program Photonics and Electronics for Innovations. Data Availability.The VIIRS data in Fig. 3 D and E can be freely accessed from https://ncc.nesdis.noaa.gov/VIIRS/. The ACI index data in Fig. 4G can be found in the corresponding references cited in this manuscript. All other study data are included in the article and/or SI Appendix.
Funders:
Funding AgencyGrant Number
National Key Research and Development Program of China2016YFC0200700
National Natural Science Foundation of China41775023
National Natural Science Foundation of China41925022
Zhejiang Provincial Natural Science Foundation of ChinaLR19D050001
Fundamental Research Funds for the Central Universities2019FZJD011
State Key Laboratory of Modern Optical InstrumentationMOI2018ZD01
Belarusian State Research Program Photonics and Electronics for InnovationsUNSPECIFIED
Subject Keywords:aerosol–cloud interaction; water clouds; high-spectral-resolution lidar; dual-field-of-view lidar
Issue or Number:10
DOI:10.1073/pnas.2110756119
Record Number:CaltechAUTHORS:20220303-400179000
Persistent URL:https://resolver.caltech.edu/CaltechAUTHORS:20220303-400179000
Usage Policy:No commercial reproduction, distribution, display or performance rights in this work are provided.
ID Code:113719
Collection:CaltechAUTHORS
Deposited By: George Porter
Deposited On:03 Mar 2022 23:24
Last Modified:03 Mar 2022 23:24

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