Atmospheric Measurement Techniques
Atmospheric Measurement Techniques
AMT
Articles | Volume 18, issue 20
Articles | Volume 18, issue 20
https://doi.org/10.5194/amt-18-5841-2025
© Author(s) 2025. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/amt-18-5841-2025
© Author(s) 2025. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 18, issue 20
Research article
 | 
29 Oct 2025
Research article |  | 29 Oct 2025

A new technique to retrieve aerosol vertical profiles using micropulse lidar and ground-based aerosol measurements

Bo Chen, Seth A. Thompson, Brianna H. Matthews, Milind Sharma, Ron Li, Christopher J. Nowotarski, Anita D. Rapp, and Sarah D. Brooks

Supplement

https://doi.org/10.5194/amt-18-5841-2025-supplement

Data sets

Mini-Micropulse Lidar data from TAMU TRACER campaign in the Houston TX region from July to September 2022 S. Brooks and B. Chen https://doi.org/10.5439/1972461

TAMU TRACER Upper Air Radiosonde Data June-September 2022 Southeast Texas M. Sharma et al. https://doi.org/10.5439/1968819

CCN data from TAMU TRACER campaign in the Houston TX region from July to September 2022 S. Brooks and S. Thompson https://doi.org/10.5439/1972179

TAMU TRACER SMPS-POPS Merged Size Distribution B. Chen et al. https://doi.org/10.18738/T8/NUX5AZ

Download
Short summary
This study presents a new method combining ground-based measurements and lidar to track how aerosols are distributed at different heights in the atmosphere. By correcting for humidity, which causes aerosols to grow and intensify the lidar signal, the method provides more accurate aerosol vertical profiles. Our results show that aerosol profiles can vary significantly over short distances. This technique can help improve understanding of aerosol-cloud interactions.
Read more
Share