Articles | Volume 23, issue 10
Research article
23 May 2023
Research article |  | 23 May 2023

Long-term variability in immersion-mode marine ice-nucleating particles from climate model simulations and observations

Aishwarya Raman, Thomas Hill, Paul J. DeMott, Balwinder Singh, Kai Zhang, Po-Lun Ma, Mingxuan Wu, Hailong Wang, Simon P. Alexander, and Susannah M. Burrows


Interactive discussion

Status: closed

Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor | : Report abuse
  • RC1: 'Review of “Long-term Variability in immersion-mode Marine Ice Nucleating Particles from Climate Model Simulations and Observations” by Raman et al.', Anonymous Referee #1, 10 May 2022
  • RC2: 'Comment on acp-2022-203', Anonymous Referee #2, 01 Jul 2022
  • AC1: 'Author's response to comments on acp-2022-203', Aishwarya Raman, 01 Feb 2023

Peer review completion

AR: Author's response | RR: Referee report | ED: Editor decision | EF: Editorial file upload
AR by Aishwarya Raman on behalf of the Authors (01 Feb 2023)  Author's response 
EF by Sarah Buchmann (13 Feb 2023)  Author's tracked changes 
EF by Sarah Buchmann (13 Feb 2023)  Manuscript 
EF by Sarah Buchmann (13 Feb 2023)  Supplement 
ED: Referee Nomination & Report Request started (15 Feb 2023) by Ari Laaksonen
RR by Anonymous Referee #2 (06 Mar 2023)
ED: Publish as is (06 Mar 2023) by Ari Laaksonen
AR by Aishwarya Raman on behalf of the Authors (01 Apr 2023)
Short summary
Ice-nucleating particles (INPs) play an important role in cloud processes and associated precipitation. Yet, INPs are not accurately represented in climate models. This study attempts to uncover these gaps by comparing model-simulated INP concentrations against field campaign measurements in the SO for an entire year, 2017–2018. Differences in INP concentrations and variability between the model and observations have major implications for modeling cloud properties in high latitudes.
Final-revised paper