Articles | Volume 17, issue 11
https://doi.org/10.5194/acp-17-6679-2017
© 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-17-6679-2017
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Research article
| 
07 Jun 2017
Research article |
| 07 Jun 2017
Continuous vertical aerosol profiling with a multi-wavelength Raman polarization lidar over the Pearl River Delta, China
Leibniz Institute for Tropospheric Research (TROPOS), Permoserstraße 15, 04318 Leipzig, Germany
Holger Baars
Leibniz Institute for Tropospheric Research (TROPOS), Permoserstraße 15, 04318 Leipzig, Germany
Stephanie Bohlmann
Leibniz Institute for Tropospheric Research (TROPOS), Permoserstraße 15, 04318 Leipzig, Germany
Dietrich Althausen
Leibniz Institute for Tropospheric Research (TROPOS), Permoserstraße 15, 04318 Leipzig, Germany
Ruru Deng
School of Geography and Planning, Sun Yat-sen University, Guangzhou, China
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- Investigation and characterization of atmospheric aerosols over the Urmia Lake using the satellite data and synoptic recordings F. Ghomashi & H. Khalesifard https://doi.org/10.1016/j.apr.2020.08.020
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- Airborne Pollen Observed by PollyXT Raman Lidar at Finokalia, Crete X. Shang et al. https://doi.org/10.1051/epjconf/202023702005
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26 citations as recorded by crossref.
- Aerosol layer heights above Tajikistan during the CADEX campaign J. Hofer et al. https://doi.org/10.1051/e3sconf/20199902009
- Generalized theoretical model for the imaging-based atmospheric lidar technique Z. Kong et al. https://doi.org/10.1016/j.optlastec.2024.111207
- Aerosol Optical Properties Retrieved by Polarization Raman Lidar: Methodology and Strategy of a Quality-Assurance Tool S. Mao et al. https://doi.org/10.3390/rs16010207
- Lidar vertical observation network and data assimilation reveal key processes driving the 3-D dynamic evolution of PM2.5 concentrations over the North China Plain Y. Xiang et al. https://doi.org/10.5194/acp-21-7023-2021
- DeLiAn – a growing collection of depolarization ratio, lidar ratio and Ångström exponent for different aerosol types and mixtures from ground-based lidar observations A. Floutsi et al. https://doi.org/10.5194/amt-16-2353-2023
- Airborne measurements of cloud condensation nuclei (CCN) vertical structures over Southern China X. Xu et al. https://doi.org/10.1016/j.atmosres.2021.106012
- Long-term variations in aerosol optical properties, types, and radiative forcing in the Sichuan Basin, Southwest China Z. Shu et al. https://doi.org/10.1016/j.scitotenv.2021.151490
- CALIPSO-observed Southeast Asia biomass-burning influences on aerosol vertical structure in Guangdong-Hong Kong-Macao Greater Bay Area X. Zeng et al. https://doi.org/10.1016/j.atmosres.2023.106755
- Characterization of Aerosol Sources and Optical Properties in Siberia Using Airborne and Spaceborne Observations A. Zabukovec et al. https://doi.org/10.3390/atmos12020244
- China Aerosol Raman Lidar Network (CARLNET)—Part II: Quality Assessment of Lidar Raw Data Z. Bu et al. https://doi.org/10.3390/rs18040663
- Measurement report: Vehicle-based multi-lidar observational study of the effect of meteorological elements on the three-dimensional distribution of particles in the western Guangdong–Hong Kong–Macao Greater Bay Area X. Xu et al. https://doi.org/10.5194/acp-22-139-2022
- TCCON Philippines: First Measurement Results, Satellite Data and Model Comparisons in Southeast Asia V. Velazco et al. https://doi.org/10.3390/rs9121228
- Raman Lidar Observations of Aerosol Optical Properties in 11 Cities from France to Siberia E. Dieudonné et al. https://doi.org/10.3390/rs9100978
- Are EARLINET and AERONET climatologies consistent? The case of Thessaloniki, Greece N. Siomos et al. https://doi.org/10.5194/acp-18-11885-2018
- Satellite-Observed Four-Dimensional Spatiotemporal Characteristics of Maritime Aerosol Types over the Coastal Waters of the Guangdong–Hong Kong–Macao Greater Bay Area and the Northern South China Sea Q. Ma et al. https://doi.org/10.3390/rs14215464
- Machine learning-based generation of high-resolution 3D full-coverage aerosol distribution data over China using multisource data W. Li et al. https://doi.org/10.1016/j.rse.2025.114772
- Multi-dimensional satellite observations of aerosol properties and aerosol types over three major urban clusters in eastern China Y. Liu et al. https://doi.org/10.5194/acp-21-12331-2021
- Optical Properties of Boundary Layer Aerosols From High Spectral Resolution Lidar Measurements in a Polluted Urban Environment (Seoul, Korea) S. Park et al. https://doi.org/10.1029/2023JD038523
- Imaging-based lidar for atmospheric remote sensing: A review Z. Kong et al. https://doi.org/10.1016/j.optlastec.2025.113354
- Three-wavelength polarization Scheimpflug lidar system developed for remote sensing of atmospheric aerosols Z. Kong et al. https://doi.org/10.1364/AO.58.008612
- Design and validation of a three-dimensional scanning depolarization lidar system for studying atmospheric aerosols in a tropical Andean Valley M. Hoyos-Restrepo & E. Montilla-Rosero https://doi.org/10.1016/j.jqsrt.2026.109911
- Investigation and characterization of atmospheric aerosols over the Urmia Lake using the satellite data and synoptic recordings F. Ghomashi & H. Khalesifard https://doi.org/10.1016/j.apr.2020.08.020
- Interaction Between Planetary Boundary Layer and PM2.5 Pollution in Megacities in China: a Review Y. Miao et al. https://doi.org/10.1007/s40726-019-00124-5
- Monitoring atmospheric particulate matters using vertically resolved measurements of a polarization lidar, in-situ recordings and satellite data over Tehran, Iran H. Panahifar et al. https://doi.org/10.1038/s41598-020-76947-w
- Airborne Pollen Observed by PollyXT Raman Lidar at Finokalia, Crete X. Shang et al. https://doi.org/10.1051/epjconf/202023702005
- The effect of cross-regional transport on ozone and particulate matter pollution in China: A review of methodology and current knowledge K. Qu et al. https://doi.org/10.1016/j.scitotenv.2024.174196
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