Retrieval of terahertz ice cloud properties from airborne measurements based on the irregularly shaped  Voronoi ice scattering models

Li, Ming; Letu, Husi; Ishimoto, Hiroshi; Li, Shulei; Liu, Lei; Nakajima, Takashi Y.; Ji, Dabin; Shang, Huazhe; Shi, Chong

doi:https://doi.org/10.5194/amt-16-331-2023

Articles | Volume 16, issue 2

https://doi.org/10.5194/amt-16-331-2023

© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.

https://doi.org/10.5194/amt-16-331-2023

© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.

Articles | Volume 16, issue 2

Research article

|

24 Jan 2023

Research article |

| 24 Jan 2023

Retrieval of terahertz ice cloud properties from airborne measurements based on the irregularly shaped Voronoi ice scattering models

Ming Li, Husi Letu, Hiroshi Ishimoto, Shulei Li, Lei Liu, Takashi Y. Nakajima, Dabin Ji, Huazhe Shang, and Chong Shi

Data sets

ESPO Data Archive NASA https://espoarchive.nasa.gov/archive/browse/tc4/ER2

The 14408 groups of PSDs from 11 field flight observation experiments SSEC https://www.ssec.wisc.edu/ice_models/microphysical_data.html

Short summary

Influenced by the representativeness of ice crystal scattering models, the existing terahertz ice cloud remote sensing inversion algorithms still have significant uncertainties. We developed an ice cloud remote sensing retrieval algorithm of the ice water path and particle size from aircraft-based terahertz radiation measurements based on the Voronoi model. Validation revealed that the Voronoi model performs better than the sphere and hexagonal column models.