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

Model code and software

Codes and data for "HUB: a method to model and extract the distribution of ice nucleation temperatures from drop-freezing experiments" (v1.0) Ingrid de Almeida Ribeiro, Konrad Meister, and Valeria Molinero https://doi.org/10.5281/zenodo.7901549

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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.
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