Articles | Volume 22, issue 21
Research article
11 Nov 2022
Research article |  | 11 Nov 2022

Predicting atmospheric background number concentration of ice-nucleating particles in the Arctic

Guangyu Li, Jörg Wieder, Julie T. Pasquier, Jan Henneberger, and Zamin A. Kanji


Interactive discussion

Status: closed

Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor | : Report abuse
  • RC1: 'Comment on acp-2022-21', Anonymous Referee #1, 21 Feb 2022
    • AC1: 'Reply on RC1', Guangyu Li, 25 Aug 2022
  • RC2: 'Comment on acp-2022-21', Anonymous Referee #2, 14 May 2022
    • AC2: 'Reply on RC2', Guangyu Li, 25 Aug 2022

Peer review completion

AR: Author's response | RR: Referee report | ED: Editor decision | EF: Editorial file upload
AR by Guangyu Li on behalf of the Authors (25 Aug 2022)  Author's response   Author's tracked changes   Manuscript 
ED: Referee Nomination & Report Request started (10 Sep 2022) by Martina Krämer
RR by Anonymous Referee #1 (04 Oct 2022)
ED: Publish subject to technical corrections (25 Oct 2022) by Martina Krämer
AR by Guangyu Li on behalf of the Authors (26 Oct 2022)  Manuscript 
Short summary
The concentration of ice-nucleating particles (INPs) is atmospherically relevant for primary ice formation in clouds. In this work, from 12 weeks of field measurement data in the Arctic, we developed a new parameterization to predict INP concentrations applicable for pristine background conditions based only on temperature. The INP parameterization could improve the cloud microphysical representation in climate models, aiding in Arctic climate predictions.
Final-revised paper