Articles | Volume 18, issue 23
https://doi.org/10.5194/amt-18-7187-2025
https://doi.org/10.5194/amt-18-7187-2025
Research article
 | 
02 Dec 2025
Research article |  | 02 Dec 2025

Closing the gap: an algorithmic approach to reconciling in-situ and remotely sensed aerosol properties

Joseph S. Schlosser, Sanja Dmitrovic, Ryan Bennett, Brian Cairns, Gao Chen, Glenn S. Diskin, Richard A. Ferrare, Johnathan W. Hair, Michael A. Jones, Jeffrey S. Reid, Taylor J. Shingler, Michael A. Shook, Armin Sorooshian, Kenneth L. Thornhill, Luke D. Ziemba, and Snorre Stamnes

Viewed

Total article views: 1,424 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
1,067 133 224 1,424 36 55
  • HTML: 1,067
  • PDF: 133
  • XML: 224
  • Total: 1,424
  • BibTeX: 36
  • EndNote: 55
Views and downloads (calculated since 30 Oct 2024)
Cumulative views and downloads (calculated since 30 Oct 2024)

Viewed (geographical distribution)

Total article views: 1,424 (including HTML, PDF, and XML) Thereof 1,424 with geography defined and 0 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 
Latest update: 02 Dec 2025
Download
Short summary
This study focuses on aerosol particles, which critically influence the atmosphere by scattering and absorbing light. To understand these interactions, airborne field campaigns deploy instruments that can measure these particles’ directly or indirectly via remote sensing. We introduce the In Situ Aerosol Retrieval Algorithm (ISARA) to ensure consistency between aerosol measurements and show that the two data sets generally align, with some deviation caused by the presence of larger particles.
Share