Articles | Volume 31, issue 3
https://doi.org/10.5194/npg-31-359-2024
https://doi.org/10.5194/npg-31-359-2024
Research article
 | 
13 Aug 2024
Research article |  | 13 Aug 2024

Prognostic assumed-probability-density-function (distribution density function) approach: further generalization and demonstrations

Jun-Ichi Yano

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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-2024-287', Anonymous Referee #1, 03 Apr 2024
    • AC1: 'Reply on RC1', Jun-Ichi Yano, 15 Apr 2024
  • RC2: 'Comment on egusphere-2024-287', Anonymous Referee #2, 08 Apr 2024
    • AC2: 'Reply on RC2', Jun-Ichi Yano, 15 Apr 2024

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 (27 May 2024)  Author's response   Author's tracked changes   Manuscript 
ED: Publish as is (17 Jun 2024) by Natale Alberto Carrassi
AR by Jun-Ichi Yano on behalf of the Authors (18 Jun 2024)
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Short summary
A methodology for directly predicting the time evolution of the assumed parameters for the distribution densities based on the Liouville equation, as proposed earlier, is extended to multidimensional cases and to cases in which the systems are constrained by integrals over a part of the variable range. The extended methodology is tested against a convective energy-cycle system as well as the Lorenz strange attractor.