Articles | Volume 19, issue 16
https://doi.org/10.5194/amt-19-5373-2026
https://doi.org/10.5194/amt-19-5373-2026
Research article
 | 
18 Aug 2026
Research article |  | 18 Aug 2026

Curve fitting algorithm for multimodal particle size distributions – a theoretical basis

Christopher N. Rapp, Gerardo Carrillo-Cardenas, Tareq Hussein, Sining Niu, Yue Zhang, Fred J. Brechtel, A. Gannet Hallar, and Daniel J. Cziczo

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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-2025-4222', Anonymous Referee #2, 06 Jan 2026
    • AC1: 'Reply on RC1', Christopher N. Rapp, 08 Jun 2026
  • RC2: 'Comment on egusphere-2025-4222', Anonymous Referee #1, 05 Feb 2026
    • AC2: 'Reply on RC2', Christopher N. Rapp, 08 Jun 2026

Peer review completion

AR – Author's response | RR – Referee report | ED – Editor decision | EF – Editorial file upload
AR by Christopher N. Rapp on behalf of the Authors (08 Jun 2026)  Author's response   Author's tracked changes   Manuscript 
ED: Referee Nomination & Report Request started (12 Jun 2026) by Wiebke Frey
RR by Anonymous Referee #2 (12 Jun 2026)
RR by Anonymous Referee #3 (30 Jun 2026)
ED: Publish as is (30 Jun 2026) by Wiebke Frey
AR by Christopher N. Rapp on behalf of the Authors (13 Jul 2026)

Post-review adjustments

AA – Author's adjustment | EA – Editor approval
AA by Christopher N. Rapp on behalf of the Authors (14 Aug 2026)   Author's adjustment   Manuscript
EA: Adjustments approved (14 Aug 2026) by Wiebke Frey
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Short summary
Particles in the atmosphere vary in size and concentration, forming what is known as a particle size distribution (PSD). These distributions rarely consist of a single group of similar particles, known as a mode. Instead, they are often made up multiple overlapping modes. This work introduces an open-source algorithm to separate complex PSDs into their individual modes, enabling characterization of each particle population to provide insight into properties relevant to human health and climate.
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