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


Interactive discussion

Status: closed

Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor | : Report abuse
  • RC1: 'Comment on amt-2022-141', Anonymous Referee #1, 16 Jun 2022
    • AC1: 'Response to Referee 1', Ryan Sullivan, 13 Sep 2022
  • RC2: 'Comment on amt-2022-141', Anonymous Referee #2, 02 Aug 2022
    • AC2: 'Response to Referee 2', Ryan Sullivan, 13 Sep 2022

Peer review completion

AR: Author's response | RR: Referee report | ED: Editor decision | EF: Editorial file upload
AR by Ryan Sullivan on behalf of the Authors (21 Sep 2022)  Author's response   Author's tracked changes   Manuscript 
ED: Referee Nomination & Report Request started (22 Sep 2022) by Mingjin Tang
RR by Anonymous Referee #2 (13 Oct 2022)
ED: Publish subject to technical corrections (18 Oct 2022) by Mingjin Tang
AR by Ryan Sullivan on behalf of the Authors (25 Oct 2022)  Author's response   Manuscript 
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.