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.
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.
the Creative Commons Attribution 4.0 License.
Research article
| 
15 Sep 2021
Research article |
| 15 Sep 2021
| 15 Sep 2021
Interactive 3-D visual analysis of ERA5 data: improving diagnostic indices for marine cold air outbreaks and polar lows
Marcel Meyer
CORRESPONDING AUTHOR
Regional Computing Centre, Visual Data Analysis Group, Universität Hamburg, Hamburg, Germany
Center for Earth System Research and Sustainability (CEN), Universität Hamburg, Hamburg, Germany
Iuliia Polkova
Institute of Oceanography, Universität Hamburg, Hamburg, Germany
Center for Earth System Research and Sustainability (CEN), Universität Hamburg, Hamburg, Germany
Kameswar Rao Modali
Regional Computing Centre, Visual Data Analysis Group, Universität Hamburg, Hamburg, Germany
Laura Schaffer
Institute of Oceanography, Universität Hamburg, Hamburg, Germany
Johanna Baehr
Institute of Oceanography, Universität Hamburg, Hamburg, Germany
Center for Earth System Research and Sustainability (CEN), Universität Hamburg, Hamburg, Germany
Stephan Olbrich
Regional Computing Centre, Visual Data Analysis Group, Universität Hamburg, Hamburg, Germany
Center for Earth System Research and Sustainability (CEN), Universität Hamburg, Hamburg, Germany
Marc Rautenhaus
Regional Computing Centre, Visual Data Analysis Group, Universität Hamburg, Hamburg, Germany
Center for Earth System Research and Sustainability (CEN), Universität Hamburg, Hamburg, Germany
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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.
Novel techniques from computer science are used to study extreme weather events. Inspired by the...
