Articles | Volume 26, issue 15
https://doi.org/10.5194/acp-26-10965-2026
https://doi.org/10.5194/acp-26-10965-2026
Research article
 | 
06 Aug 2026
Research article |  | 06 Aug 2026

From κ to χ: evaluating hygroscopicity-based mixing state estimates with a particle-resolved model

Yicen Liu, Jian Wang, and Nicole Riemer

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Interactive discussion

Status: closed

Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor | : Report abuse
  • RC1: 'Comment on egusphere-2026-1724', Anonymous Referee #1, 22 Apr 2026
  • RC2: 'Comment on egusphere-2026-1724', Anonymous Referee #2, 24 Apr 2026

Peer review completion

AR – Author's response | RR – Referee report | ED – Editor decision | EF – Editorial file upload
AR by Yicen Liu on behalf of the Authors (11 Jul 2026)  Author's response   Author's tracked changes   Manuscript 
ED: Referee Nomination & Report Request started (13 Jul 2026) by Manabu Shiraiwa
RR by Anonymous Referee #2 (28 Jul 2026)
ED: Publish as is (29 Jul 2026) by Manabu Shiraiwa
AR by Yicen Liu on behalf of the Authors (30 Jul 2026)  Manuscript 
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Short summary

Airborne particles affect clouds, climate, and air quality, but it is difficult to determine how their chemical components are mixed within individual particles. We tested a method that estimates this mixing from water-uptake measurements using detailed computer simulations. The method works well in many cases, but can overestimate particle mixing when moderately water-attracting material exists in separate particle types. We then applied this uncertainty framework to long-term observations.

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