Zeng et al. (2025) Identification of Precipitating Marine Low‐Altitude Water Clouds by CALIPSO: Observations and Detections

⚠️ Warning: This summary was generated from the abstract only, as the full text was not available.

Identification

• Journal: Journal of Geophysical Research Atmospheres
• Year: 2025
• Date: 2025-09-09
• Authors: Shan Zeng, Yongxiang Hu, Mark Vaughan, Charles R. Trepte, Zhaoyan Liu, Ali Omar, Brian Getzewich, Sharon Rodier
• DOI: 10.1029/2025jd043401

Research Groups

Not explicitly stated in the abstract.

Short Summary

This study uses CALIOP measurements to investigate microphysical and optical property changes in marine boundary layer clouds at cloud top during precipitation formation. It finds distinct lidar signatures that enable effective discrimination between precipitating and non-precipitating clouds, offering new insights into cloud life cycles and enhancing global light precipitation detection.

Objective

• To investigate how the microphysical and optical properties of marine boundary layer clouds change at the cloud top when precipitation forms.

Study Configuration

• Spatial Scale: Global
• Temporal Scale: Continuous observational record (implied by CALIOP and A-Train data record)

Methodology and Data

• Models used: None explicitly mentioned; this is an observational study.
• Data sources: Measurements from the Cloud-Aerosol Lidar with Orthogonal Polarization (CALIOP); A-Train data record.

Main Results

• Broadening of particle size distributions when transitioning from cloud droplets to raindrops, evidenced by a pronounced decrease in the cloud extinction-to-backscatter ratios.
• Lower droplet number concentrations, resulting in reduced in-cloud signal attenuation, smaller backscatter coefficients, lower depolarization ratios, and deeper signal penetration into clouds.
• Increased cloud inhomogeneity, arising from significant spatial variability in droplet size and number concentrations that yield corresponding variations in lidar backscatter signal intensities.
• The distinct differences observed in CALIOP measurements of precipitating and non-precipitating clouds allow for effective discrimination between the two states.

Contributions

• Provides a method for independent detection of precipitating clouds from space-borne lidar.
• Expected to offer new insights into cloud life cycles.
• Enhances the existing A-Train data record by filling gaps in global-scale light precipitation detection.

Funding

Not explicitly stated in the abstract.

Citation

@article{Zeng2025Identification,
  author = {Zeng, Shan and Hu, Yongxiang and Vaughan, Mark and Trepte, Charles R. and Liu, Zhaoyan and Omar, Ali and Getzewich, Brian and Rodier, Sharon},
  title = {Identification of Precipitating Marine Low‐Altitude Water Clouds by CALIPSO: Observations and Detections},
  journal = {Journal of Geophysical Research Atmospheres},
  year = {2025},
  doi = {10.1029/2025jd043401},
  url = {https://doi.org/10.1029/2025jd043401}
}