Articles | Volume 16, issue 7
https://doi.org/10.5194/amt-16-1951-2023
© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/amt-16-1951-2023
© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
POLIPHON conversion factors for retrieving dust-related cloud condensation nuclei and ice-nucleating particle concentration profiles at oceanic sites
School of Electronic Information, Wuhan University, Wuhan, China
Key Laboratory of Geospace Environment and Geodesy, Ministry of
Education, Wuhan, China
State Observatory for Atmospheric Remote Sensing, Wuhan, China
School of Remote Sensing and Information Engineering, Wuhan
University, Wuhan, China
Albert Ansmann
Leibniz Institute for Tropospheric Research, Leipzig, Germany
Fuchao Liu
School of Electronic Information, Wuhan University, Wuhan, China
Key Laboratory of Geospace Environment and Geodesy, Ministry of
Education, Wuhan, China
State Observatory for Atmospheric Remote Sensing, Wuhan, China
Longlong Wang
School of Remote Sensing and Information Engineering, Wuhan
University, Wuhan, China
Dongzhe Jing
School of Electronic Information, Wuhan University, Wuhan, China
Key Laboratory of Geospace Environment and Geodesy, Ministry of
Education, Wuhan, China
State Observatory for Atmospheric Remote Sensing, Wuhan, China
Huijia Shen
School of Electronic Information, Wuhan University, Wuhan, China
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Cited
11 citations as recorded by crossref.
- Extended POLIPHON dust conversion factor dataset for lidar-derived cloud condensation nuclei and ice-nucleating particle concentration profiles Y. He et al. https://doi.org/10.5194/amt-18-5669-2025
- Lidar estimates of birch pollen number, mass, and CCN-related concentrations M. Filioglou et al. https://doi.org/10.5194/acp-25-1639-2025
- 1064 nm rotational Raman polarization lidar for profiling aerosol and cloud characteristics L. Wang et al. https://doi.org/10.1364/OE.518259
- A near-global multiyear climate data record of the fine-mode and coarse-mode components of atmospheric pure dust E. Proestakis et al. https://doi.org/10.5194/amt-17-3625-2024
- MOSAiC studies of long-lasting mixed-phase cloud events and analysis of the liquid-phase properties of Arctic clouds C. Jimenez et al. https://doi.org/10.5194/acp-25-12955-2025
- Aerosol optical-to-microphysical conversion factors for lidars and ceilometers from extended AERONET data analyses: POLIPHON update A. Ansmann et al. https://doi.org/10.5194/amt-19-3801-2026
- Investigation of aerosol transport flux structure over Beijing based on lidar observations and the impact of dust transport on air quality Z. Tian et al. https://doi.org/10.5194/acp-26-4231-2026
- Fluorescence properties of long-range-transported smoke: insights from five-channel lidar observations over Moscow during the 2023 wildfire season I. Veselovskii et al. https://doi.org/10.5194/acp-25-1603-2025
- Retrieval and analysis of the composition of an aerosol mixture through Mie–Raman–fluorescence lidar observations I. Veselovskii et al. https://doi.org/10.5194/amt-17-4137-2024
- Influence of long-range transported Asian dust on cirrus cloud formation over central Pacific Y. He et al. https://doi.org/10.1051/e3sconf/202457505003
- Impact of water uptake on fluorescence of atmospheric aerosols: insights from Mie–Raman–fluorescence lidar measurements I. Veselovskii et al. https://doi.org/10.5194/amt-18-6039-2025
11 citations as recorded by crossref.
- Extended POLIPHON dust conversion factor dataset for lidar-derived cloud condensation nuclei and ice-nucleating particle concentration profiles Y. He et al. https://doi.org/10.5194/amt-18-5669-2025
- Lidar estimates of birch pollen number, mass, and CCN-related concentrations M. Filioglou et al. https://doi.org/10.5194/acp-25-1639-2025
- 1064 nm rotational Raman polarization lidar for profiling aerosol and cloud characteristics L. Wang et al. https://doi.org/10.1364/OE.518259
- A near-global multiyear climate data record of the fine-mode and coarse-mode components of atmospheric pure dust E. Proestakis et al. https://doi.org/10.5194/amt-17-3625-2024
- MOSAiC studies of long-lasting mixed-phase cloud events and analysis of the liquid-phase properties of Arctic clouds C. Jimenez et al. https://doi.org/10.5194/acp-25-12955-2025
- Aerosol optical-to-microphysical conversion factors for lidars and ceilometers from extended AERONET data analyses: POLIPHON update A. Ansmann et al. https://doi.org/10.5194/amt-19-3801-2026
- Investigation of aerosol transport flux structure over Beijing based on lidar observations and the impact of dust transport on air quality Z. Tian et al. https://doi.org/10.5194/acp-26-4231-2026
- Fluorescence properties of long-range-transported smoke: insights from five-channel lidar observations over Moscow during the 2023 wildfire season I. Veselovskii et al. https://doi.org/10.5194/acp-25-1603-2025
- Retrieval and analysis of the composition of an aerosol mixture through Mie–Raman–fluorescence lidar observations I. Veselovskii et al. https://doi.org/10.5194/amt-17-4137-2024
- Influence of long-range transported Asian dust on cirrus cloud formation over central Pacific Y. He et al. https://doi.org/10.1051/e3sconf/202457505003
- Impact of water uptake on fluorescence of atmospheric aerosols: insights from Mie–Raman–fluorescence lidar measurements I. Veselovskii et al. https://doi.org/10.5194/amt-18-6039-2025
Saved (final revised paper)
Latest update: 09 Sep 2026
Short summary
With the AERONET database, this study derives dust-related conversion factors at oceanic sites used in the POLIPHON method, which can convert lidar-retrieved dust extinction to ice-nucleating particle (INP)- and cloud condensation nuclei (CCN)-relevant parameters. The particle linear depolarization ratio in the AERONET aerosol inversion product is used to identify dust data points. The derived conversion factors can be applied to inverse 3-D global distributions of dust-related INPCs and CCNCs.
With the AERONET database, this study derives dust-related conversion factors at oceanic sites...