Articles | Volume 2, issue 3
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, Iuliia Polkova, Kameswar Rao Modali, Laura Schaffer, Johanna Baehr, Stephan Olbrich, and Marc Rautenhaus


Total article views: 2,400 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
1,720 638 42 2,400 41 32
  • HTML: 1,720
  • PDF: 638
  • XML: 42
  • Total: 2,400
  • BibTeX: 41
  • EndNote: 32
Views and downloads (calculated since 27 Apr 2021)
Cumulative views and downloads (calculated since 27 Apr 2021)

Viewed (geographical distribution)

Total article views: 2,400 (including HTML, PDF, and XML) Thereof 2,320 with geography defined and 80 with unknown origin.
Country # Views %
  • 1


Latest update: 27 May 2024
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.