Technical note: Identification of two ice-nucleating regimes for dust-related cirrus clouds based on the relationship between number concentrations of ice-nucleating particles and ice crystals

He, Yun; Yin, Zhenping; Liu, Fuchao; Yi, Fan

doi:https://doi.org/10.5194/acp-22-13067-2022

Articles | Volume 22, issue 19

https://doi.org/10.5194/acp-22-13067-2022

© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.

https://doi.org/10.5194/acp-22-13067-2022

© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.

Articles | Volume 22, issue 19

Technical note

|

11 Oct 2022

Technical note |

| 11 Oct 2022

Technical note: Identification of two ice-nucleating regimes for dust-related cirrus clouds based on the relationship between number concentrations of ice-nucleating particles and ice crystals

Yun He, Zhenping Yin, Fuchao Liu, and Fan Yi

Data sets

MUA PLidar and Sun Photometer Dataset for Dust-related Ice Nucleation Particle Concentration Profile Yun He https://doi.org/10.5281/zenodo.4683015

Cloud–Aerosol Lidar and Infrared Pathfinder Satellite Observation data base CALIPSO https://subset.larc.nasa.gov/

Wuhan Radiosonde Data Wuhan Radiosonde http://data.cma.cn/en/

Cloud properties combining the CloudSat radar and the CALIPSO lidar measurment from raDAR/liDAR data base DARDAR https://www.icare.univ-lille.fr/

Short summary

A method is proposed to identify the sole presence of heterogeneous nucleation and competition between heterogeneous and homogeneous nucleation for dust-related cirrus clouds by characterizing the relationship between dust ice-nucleating particle concentration calculated from CALIOP using the POLIPHON method and in-cloud ice crystal number concentration from the DARDAR-Nice dataset. Two typical cirrus cases are shown as a demonstration, and the proposed method can be extended to a global scale.