Three-dimensional visualization of ensemble weather forecasts – Part 1: The visualization tool Met.3D (version 1.0)

Rautenhaus, M.; Kern, M.; Schäfler, A.; Westermann, R.

doi:https://doi.org/10.5194/gmd-8-2329-2015

Articles | Volume 8, issue 7

https://doi.org/10.5194/gmd-8-2329-2015

© Author(s) 2015. This work is distributed under
the Creative Commons Attribution 3.0 License.

https://doi.org/10.5194/gmd-8-2329-2015

© Author(s) 2015. This work is distributed under
the Creative Commons Attribution 3.0 License.

Articles | Volume 8, issue 7

Methods for assessment of models

|

31 Jul 2015

Methods for assessment of models |

| 31 Jul 2015

Three-dimensional visualization of ensemble weather forecasts – Part 1: The visualization tool Met.3D (version 1.0)

M. Rautenhaus, M. Kern, A. Schäfler, and R. Westermann

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Final revised paper (published on 31 Jul 2015)
Supplement to the final revised paper
Preprint (discussion started on 27 Feb 2015)
Supplement to the preprint

Interactive discussion

Status: closed

AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment

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- Supplement

RC C219: 'Review of Rautenhaus et al., 3D visualization of ensemble weather forecasts -- Part 1: The visualization tool Met.3D (version 1.0)', Anonymous Referee #1, 24 Mar 2015
- AC C1188: 'Respone to Referee #1', Marc Rautenhaus, 20 Jun 2015
RC C281: 'Referee comment', Edward Szoke, 27 Mar 2015
- AC C1187: 'Response to E. Szoke', Marc Rautenhaus, 20 Jun 2015
RC C711: 'Review', Anonymous Referee #3, 11 May 2015
- AC C1186: 'Response to Referee #3', Marc Rautenhaus, 20 Jun 2015

Peer-review completion

AR: Author's response | RR: Referee report | ED: Editor decision

AR by Marc Rautenhaus on behalf of the Authors (23 Jun 2015) Author's response Manuscript

ED: Publish as is (25 Jun 2015) by Holger Tost

AR by Marc Rautenhaus on behalf of the Authors (03 Jul 2015)

Short summary

This article presents "Met.3D", a new open-source tool for the interactive 3D visualization of numerical ensemble weather predictions. Met.3D builds a bridge from proven 2D visualization methods commonly used in meteorology to 3D visualization and implements approaches to using the ensemble to allow the user to assess forecast uncertainty. The article is the first part of a two-paper study discussing how 3D and ensemble visualization can be used in a meaningful way suited to weather forecasting.