Articles | Volume 14, issue 11
Geosci. Model Dev., 14, 6919–6944, 2021
https://doi.org/10.5194/gmd-14-6919-2021
Geosci. Model Dev., 14, 6919–6944, 2021
https://doi.org/10.5194/gmd-14-6919-2021

Development and technical paper 16 Nov 2021

Development and technical paper | 16 Nov 2021

Topography-based local spherical Voronoi grid refinement on classical and moist shallow-water finite-volume models

Luan F. Santos and Pedro S. Peixoto

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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-2021-82', Darren Engwirda, 24 May 2021
  • RC2: 'Comment on gmd-2021-82', Nicholas Kevlahan, 27 May 2021
  • RC3: 'Comment on gmd-2021-82', Anonymous Referee #3, 04 Jun 2021
  • AC1: 'Authors response on gmd-2021-82', Luan Santos, 22 Jul 2021

Peer review completion

AR: Author's response | RR: Referee report | ED: Editor decision
AR by Luan Santos on behalf of the Authors (26 Jul 2021)  Author's response    Author's tracked changes    Manuscript
ED: Reconsider after major revisions (31 Jul 2021) by James Kelly
AR by Luan Santos on behalf of the Authors (24 Sep 2021)  Author's response    Author's tracked changes    Manuscript
ED: Referee Nomination & Report Request started (27 Sep 2021) by James Kelly
RR by Nicholas Kevlahan (27 Sep 2021)
RR by Darren Engwirda (13 Oct 2021)
ED: Publish subject to minor revisions (review by editor) (13 Oct 2021) by James Kelly
AR by Luan Santos on behalf of the Authors (18 Oct 2021)  Author's response    Author's tracked changes    Manuscript
ED: Publish as is (19 Oct 2021) by James Kelly
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Short summary
The Andes act as a wall in atmospheric flows and play an important role in the weather of South America but are currently underrepresented in weather and climate models. In this work, we propose grids that better capture the mountains and, using idealized dynamical models, study the effects caused by the use of such grids. While possibly improving forecasts for short periods, the grids introduce spurious numerical (nonphysical) effects, which can demand added caution from model developers.