Weather and Climate Dynamics
Weather and Climate Dynamics
WCD
Articles | Volume 2, issue 3
Articles | Volume 2, issue 3
https://doi.org/10.5194/wcd-2-867-2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/wcd-2-867-2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.
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

Model code and software

Met.3D Marc Rautenhaus, Kameswar Rao Modali, Marcel Meyer https://gitlab.com/wxmetvis/met.3d

Video supplement

Interactive visual data analysis of a Marine Cold Air Outbreak in ERA5 data M. Meyer, I. Polkova, K. R. Modali, L. Schaffer, J. Baehr, S. Olbrich, and M. Rautenhaus https://doi.org/10.5446/52263

Interactive visual data analysis of a Polar Low in ERA5 data. M. Meyer, I. Polkova, K. R. Modali, L. Schaffer, J. Baehr, S. Olbrich, and M. Rautenhaus https://doi.org/10.5446/52264

Interactive visual data analysis of the characteristic pressure level in the conventional MCAO index. M. Meyer, I. Polkova, K. R. Modali, L. Schaffer, J. Baehr, S. Olbrich, and M. Rautenhaus https://doi.org/10.5446/52265

Dynamics of the upper boundary of a MCAO (time of MCAO: March, 2011). M. Meyer, I. Polkova, K. R. Modali, L. Schaffer, J. Baehr, S. Olbrich, and M. Rautenhaus https://doi.org/10.5446/52266

Dynamics of the upper boundary of a MCAO and the dynamical tropopause (time of MCAO: March, 2011). M. Meyer, I. Polkova, K. R. Modali, L. Schaffer, J. Baehr, S. Olbrich, and M. Rautenhaus https://doi.org/10.5446/52267

Dynamics of the upper boundary of a MCAO (time of MCAO: December, 2002). M. Meyer, I. Polkova, K. R. Modali, L. Schaffer, J. Baehr, S. Olbrich, and M. Rautenhaus https://doi.org/10.5446/52268

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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.
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