Articles | Volume 16, issue 16
Methods for assessment of models
17 Aug 2023
Methods for assessment of models |  | 17 Aug 2023

Visual analysis of model parameter sensitivities along warm conveyor belt trajectories using Met.3D (1.6.0-multivar1)

Christoph Neuhauser, Maicon Hieronymus, Michael Kern, Marc Rautenhaus, Annika Oertel, and Rüdiger Westermann


Interactive discussion

Status: closed

Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor | : Report abuse
  • RC1: 'Comment on gmd-2023-27', Anonymous Referee #1, 20 Apr 2023
    • AC1: 'Reply on RC1', Christoph Neuhauser, 05 May 2023
  • RC2: 'Comment on gmd-2023-27', Anonymous Referee #2, 06 Jun 2023
    • AC2: 'Reply on RC2', Christoph Neuhauser, 21 Jun 2023

Peer review completion

AR: Author's response | RR: Referee report | ED: Editor decision | EF: Editorial file upload
AR by Christoph Neuhauser on behalf of the Authors (29 Jun 2023)  Author's response   Author's tracked changes   Manuscript 
ED: Publish subject to technical corrections (15 Jul 2023) by Nina Crnivec
AR by Christoph Neuhauser on behalf of the Authors (15 Jul 2023)  Manuscript 
Short summary
Numerical weather prediction models rely on parameterizations for sub-grid-scale processes, which are a source of uncertainty. We present novel visual analytics solutions to analyze interactively the sensitivities of a selected prognostic variable to multiple model parameters along trajectories regarding similarities in temporal development and spatiotemporal relationships. The proposed workflow is applied to cloud microphysical sensitivities along coherent strongly ascending trajectories.