Articles | Volume 17, issue 19
https://doi.org/10.5194/acp-17-12133-2017
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
https://doi.org/10.5194/acp-17-12133-2017
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Research article
| 
12 Oct 2017
Research article |
| 12 Oct 2017
Impact of aerosol hygroscopic growth on retrieving aerosol extinction coefficient profiles from elastic-backscatter lidar signals
Gang Zhao
Department of Atmospheric and Oceanic Sciences, School of
Physics, Peking University, Beijing, China
Chunsheng Zhao
CORRESPONDING AUTHOR
Department of Atmospheric and Oceanic Sciences, School of
Physics, Peking University, Beijing, China
Department of Atmospheric and Oceanic Sciences, School of
Physics, Peking University, Beijing, China
Jiangchuan Tao
Department of Atmospheric and Oceanic Sciences, School of
Physics, Peking University, Beijing, China
Wangshu Tan
Department of Atmospheric and Oceanic Sciences, School of
Physics, Peking University, Beijing, China
Yuxuan Bian
State Key Laboratory of Severe Weather, Chinese Academy of
Meteorological Sciences, Beijing, 100081, China
Department of Atmospheric and Oceanic Sciences, School of
Physics, Peking University, Beijing, China
Chengcai Li
Department of Atmospheric and Oceanic Sciences, School of
Physics, Peking University, Beijing, China
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- Novel Inversion Algorithm for the Atmospheric Aerosol Extinction Coefficient Based on an Improved Genetic Algorithm M. Hu et al. 10.3390/photonics9080554
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- Retrieval of aerosol profiles by Raman lidar with dynamic determination of the lidar equation reference height J. Li et al. 10.1016/j.atmosenv.2018.11.048
- Impact of Aerosol Mixing State and Hygroscopicity on the Lidar Ratio Z. Zhang et al. 10.3390/rs14071554
25 citations as recorded by crossref.
- Unveiling aerosol–cloud interactions – Part 2: Minimising the effects of aerosol swelling and wet scavenging in ECHAM6-HAM2 for comparison to satellite data D. Neubauer et al. 10.5194/acp-17-13165-2017
- LiDAR-Based Remote Sensing of the Vertical Profile of Aerosol Liquid Water Content Using a Machine-Learning Model T. Wu et al. 10.1109/TGRS.2021.3130204
- Method to retrieve cloud condensation nuclei number concentrations using lidar measurements W. Tan et al. 10.5194/amt-12-3825-2019
- Measurement report: Spectral and statistical analysis of aerosol hygroscopic growth from multi-wavelength lidar measurements in Barcelona, Spain M. Sicard et al. 10.5194/acp-22-7681-2022
- Spatiotemporal changes in aerosol properties by hygroscopic growth and impacts on radiative forcing and heating rates during DISCOVER-AQ 2011 D. Pérez-Ramírez et al. 10.5194/acp-21-12021-2021
- A new parameterization scheme for the real part of the ambient urban aerosol refractive index G. Zhao et al. 10.5194/acp-19-12875-2019
- Profiling Aerosol Liquid Water Content Using a Polarization Lidar W. Tan et al. 10.1021/acs.est.9b07502
- Determination of the refractive index of ambient aerosols G. Zhao et al. 10.1016/j.atmosenv.2020.117800
- Characterization of aerosol hygroscopicity using Raman lidar measurements at the EARLINET station of Payerne F. Navas-Guzmán et al. 10.5194/acp-19-11651-2019
- Current Challenges in Visibility Improvement in Sichuan Basin G. Zhao et al. 10.1029/2022GL098836
- Novel Inversion Algorithm for the Atmospheric Aerosol Extinction Coefficient Based on an Improved Genetic Algorithm M. Hu et al. 10.3390/photonics9080554
- Theoretical derivation of aerosol lidar ratio using Mie theory for CALIOP-CALIPSO and OPAC aerosol models R. Chipade & M. Pandya 10.5194/amt-16-5443-2023
- The Determination of Aerosol Distribution by a No-Blind-Zone Scanning Lidar J. Wang et al. 10.3390/rs12040626
- Potential of Polarization Lidar to Profile the Urban Aerosol Phase State during Haze Episodes W. Tan et al. 10.1021/acs.estlett.9b00695
- Optical properties of aerosol and cloud particles measured by a single-line-extracted pure rotational Raman lidar L. Peng et al. 10.1364/OE.427864
- Measurement report: Comparison of airborne, in situ measured, lidar-based, and modeled aerosol optical properties in the central European background – identifying sources of deviations S. Düsing et al. 10.5194/acp-21-16745-2021
- Impact of aerosol–radiation interaction on new particle formation G. Zhao et al. 10.5194/acp-21-9995-2021
- Method to measure the size-resolved real part of aerosol refractive index using differential mobility analyzer in tandem with single-particle soot photometer G. Zhao et al. 10.5194/amt-12-3541-2019
- Simple retrieval of the real part of the refractive index for ambient aerosols using extinction coefficient analysis via camera and volume size distribution J. Shin et al. 10.1016/j.atmosenv.2024.120537
- Hygroscopicity of Different Types of Aerosol Particles: Case Studies Using Multi-Instrument Data in Megacity Beijing, China T. Wu et al. 10.3390/rs12050785
- Technical note: Mismeasurement of the core-shell structure of black carbon-containing ambient aerosols by SP2 measurements G. Zhao et al. 10.1016/j.atmosenv.2020.117885
- Dominant synoptic patterns associated with the decay process of PM<sub>2.5</sub> pollution episodes around Beijing X. Wang et al. 10.5194/acp-21-2491-2021
- Calculating the aerosol asymmetry factor based on measurements from the humidified nephelometer system G. Zhao et al. 10.5194/acp-18-9049-2018
- Retrieval of aerosol profiles by Raman lidar with dynamic determination of the lidar equation reference height J. Li et al. 10.1016/j.atmosenv.2018.11.048
- Impact of Aerosol Mixing State and Hygroscopicity on the Lidar Ratio Z. Zhang et al. 10.3390/rs14071554
Latest update: 08 Nov 2024
Short summary
In this paper, influences of aerosol hygroscopic growth on the lidar ratio are studied. Results indicate that both the magnitude and vertical structures of the retrieved aerosol extinction coefficient (σext) profile from lidar signals are significantly biased. This study proposes a feasible method for reducing the bias of retrieving the σext profile and this method can be implemented in operational retrieval of the aerosol σext profile and for pollution monitoring.
In this paper, influences of aerosol hygroscopic growth on the lidar ratio are studied. Results...
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