Articles | Volume 15, issue 9
https://doi.org/10.5194/gmd-15-3879-2022
https://doi.org/10.5194/gmd-15-3879-2022
Development and technical paper
 | 
13 May 2022
Development and technical paper |  | 13 May 2022

On numerical broadening of particle-size spectra: a condensational growth study using PyMPDATA 1.0

Michael A. Olesik, Jakub Banaśkiewicz, Piotr Bartman, Manuel Baumgartner, Simon Unterstrasser, and Sylwester Arabas

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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 gmd-2020-404', Josef Schröttle, 24 Feb 2021
  • RC2: 'Comment on gmd-2020-404', Anonymous Referee #2, 01 May 2021
  • RC3: 'Comment on gmd-2020-404', Anonymous Referee #3, 04 May 2021
  • AC1: 'Reply to all three comments (incl. revised manuscript with changes highlighted)', Michael Olesik, 02 Aug 2021

Peer review completion

AR: Author's response | RR: Referee report | ED: Editor decision
AR by Michael Olesik on behalf of the Authors (02 Aug 2021)  Author's response    Author's tracked changes    Manuscript
ED: Referee Nomination & Report Request started (07 Aug 2021) by Juan Antonio Añel
RR by Anonymous Referee #2 (31 Aug 2021)
RR by Anonymous Referee #4 (03 Sep 2021)
ED: Reconsider after major revisions (13 Sep 2021) by Juan Antonio Añel
AR by Michael Olesik on behalf of the Authors (22 Oct 2021)  Author's response    Author's tracked changes    Manuscript
ED: Referee Nomination & Report Request started (26 Oct 2021) by Juan Antonio Añel
RR by Anonymous Referee #4 (01 Dec 2021)
ED: Reconsider after major revisions (02 Dec 2021) by Juan Antonio Añel
AR by Michael Olesik on behalf of the Authors (13 Jan 2022)  Author's response    Author's tracked changes    Manuscript
ED: Referee Nomination & Report Request started (18 Jan 2022) by Juan Antonio Añel
RR by Anonymous Referee #4 (17 Feb 2022)
ED: Publish subject to minor revisions (review by editor) (28 Feb 2022) by Juan Antonio Añel
AR by Michael Olesik on behalf of the Authors (08 Mar 2022)  Author's response    Author's tracked changes    Manuscript
ED: Publish as is (09 Mar 2022) by Juan Antonio Añel

Post-review adjustments

AA: Author's adjustment | EA: Editor approval
AA by Michael Olesik on behalf of the Authors (04 May 2022)   Author's adjustment   Manuscript
EA: Adjustments approved (04 May 2022) by Juan Antonio Añel
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Short summary
In systems such as atmospheric clouds, droplets undergo growth through condensation of vapor. The broadness of the resultant size spectrum of droplets influences precipitation likelihood and the radiative properties of clouds. One of the inherent limitations of simulations of the problem is the so-called numerical diffusion causing overestimation of the spectrum width, hence the term numerical broadening. In the paper, we take a closer look at one of the algorithms used in this context: MPDATA.