Articles | Volume 23, issue 10
https://doi.org/10.5194/acp-23-5623-2023
https://doi.org/10.5194/acp-23-5623-2023
Research article
 | 
22 May 2023
Research article |  | 22 May 2023

HUB: a method to model and extract the distribution of ice nucleation temperatures from drop-freezing experiments

Ingrid de Almeida Ribeiro, Konrad Meister, and Valeria Molinero

Viewed

Since the preprint corresponding to this journal article was posted outside of Copernicus Publications, the preprint-related metrics are limited to HTML views.

Total article views: 1,431 (including HTML, PDF, and XML)
HTML PDF XML Total Supplement BibTeX EndNote
1,184 221 26 1,431 62 26 29
  • HTML: 1,184
  • PDF: 221
  • XML: 26
  • Total: 1,431
  • Supplement: 62
  • BibTeX: 26
  • EndNote: 29
Views and downloads (calculated since 28 Nov 2022)
Cumulative views and downloads (calculated since 28 Nov 2022)

Viewed (geographical distribution)

Since the preprint corresponding to this journal article was posted outside of Copernicus Publications, the preprint-related metrics are limited to HTML views.

Total article views: 1,431 (including HTML, PDF, and XML) Thereof 1,428 with geography defined and 3 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Cited

Latest update: 29 May 2024
Download
Short summary
Ice formation is a key atmospheric process facilitated by a wide range of aerosols. We present a method to model and interpret ice nucleation experiments and extract the distribution of the potency of nucleation sites. We use the method to optimize the conditions of laboratory sampling and extract distributions of ice nucleation temperatures from bacteria, fungi, and pollen. These reveal unforeseen subpopulations of nuclei in these systems and how they respond to changes in their environment.
Altmetrics
Final-revised paper
Preprint