Articles | Volume 25, issue 16
https://doi.org/10.5194/acp-25-9357-2025
https://doi.org/10.5194/acp-25-9357-2025
Technical note
 | 
27 Aug 2025
Technical note |  | 27 Aug 2025

Technical note: General formulation for the distribution problem – prognostic assumed probability density function (PDF) approach based on the maximum-entropy principle and the Liouville equation

Jun-Ichi Yano, Vincent E. Larson, and Vaughan T. J. Phillips

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Interactive discussion

Status: closed

Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor | : Report abuse

Peer review completion

AR: Author's response | RR: Referee report | ED: Editor decision | EF: Editorial file upload
AR by Jun-Ichi Yano on behalf of the Authors (04 Jun 2024)  Author's response   Author's tracked changes   Manuscript 
ED: Referee Nomination & Report Request started (17 Jul 2024) by Franziska Glassmeier
RR by Anonymous Referee #2 (18 Jul 2024)
RR by Anonymous Referee #1 (14 Nov 2024)
ED: Reconsider after major revisions (25 Nov 2024) by Franziska Glassmeier
AR by Jun-Ichi Yano on behalf of the Authors (19 Dec 2024)  Author's response   Author's tracked changes   Manuscript 
ED: Referee Nomination & Report Request started (23 Jan 2025) by Franziska Glassmeier
RR by Anonymous Referee #1 (05 Apr 2025)
ED: Publish subject to minor revisions (review by editor) (07 May 2025) by Franziska Glassmeier
AR by Jun-Ichi Yano on behalf of the Authors (15 May 2025)  Author's response   Author's tracked changes   Manuscript 
ED: Publish as is (06 Jun 2025) by Franziska Glassmeier
AR by Jun-Ichi Yano on behalf of the Authors (12 Jun 2025)
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Short summary
The distribution problems appear in atmospheric sciences at almost every corner when describing diverse processes. This paper presents a general formulation for addressing all these problems.
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