Articles | Volume 2, issue 3
Weather Clim. Dynam., 2, 867–891, 2021
https://doi.org/10.5194/wcd-2-867-2021
Weather Clim. Dynam., 2, 867–891, 2021
https://doi.org/10.5194/wcd-2-867-2021

Research article 15 Sep 2021

Research article | 15 Sep 2021

Interactive 3-D visual analysis of ERA5 data: improving diagnostic indices for marine cold air outbreaks and polar lows

Marcel Meyer et al.

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Interactive discussion

Status: closed

Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor | : Report abuse

Peer review completion

AR: Author's response | RR: Referee report | ED: Editor decision
AR by Marcel Meyer on behalf of the Authors (02 Jul 2021)  Author's response    Author's tracked changes    Manuscript
ED: Referee Nomination & Report Request started (02 Jul 2021) by Heini Wernli
RR by Anonymous Referee #2 (09 Jul 2021)
RR by Anonymous Referee #1 (17 Jul 2021)
ED: Publish subject to minor revisions (review by editor) (23 Jul 2021) by Heini Wernli
AR by Marcel Meyer on behalf of the Authors (02 Aug 2021)  Author's response    Author's tracked changes    Manuscript
ED: Publish subject to technical corrections (06 Aug 2021) by Heini Wernli
AR by Marcel Meyer on behalf of the Authors (10 Aug 2021)  Author's response    Manuscript
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Short summary
Novel techniques from computer science are used to study extreme weather events. Inspired by the interactive 3-D visual analysis of the recently released ERA5 reanalysis data, we improve commonly used metrics for measuring polar winter storms and outbreaks of cold air. The software (Met.3D) that we have extended and applied as part of this study is freely available and can be used generically for 3-D visualization of a broad variety of atmospheric processes in weather and climate data.