A universally applicable method of calculating confidence bands for ice nucleation spectra derived from droplet freezing experiments

Fahy, William D.; Shalizi, Cosma Rohilla; Sullivan, Ryan Christopher

doi:https://doi.org/10.5194/amt-15-6819-2022

Articles | Volume 15, issue 22

https://doi.org/10.5194/amt-15-6819-2022

© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.

https://doi.org/10.5194/amt-15-6819-2022

© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.

Articles | Volume 15, issue 22

Research article

|

24 Nov 2022

Research article |

| 24 Nov 2022

A universally applicable method of calculating confidence bands for ice nucleation spectra derived from droplet freezing experiments

William D. Fahy, Cosma Rohilla Shalizi, and Ryan Christopher Sullivan

Supplement

https://doi.org/10.5194/amt-15-6819-2022-supplement

Data sets

Code and data accompanying “A universally applicable method of calculating confidence bands for ice nucleation spectra derived from droplet freezing experiments” William D. Fahy, Ryan C. Sullivan https://doi.org/10.1184/R1/19494188

Model code and software

Code and data accompanying “A universally applicable method of calculating confidence bands for ice nucleation spectra derived from droplet freezing experiments” William D. Fahy, Ryan C. Sullivan https://doi.org/10.1184/R1/19494188

Short summary

Heterogeneous ice nucleation (IN) alters cloud microphysics and climate, and droplet freezing assays are widely used to determine a material's IN ability. Existing statistical procedures require restrictive assumptions that may bias reported results, and there is no rigorous way to compare IN spectra. To improve the accuracy of reported IN data, we present a method for calculating statistics and confidence bands and testing statistical differences between IN activities in different materials.