A novel method for objective identification of 3-D potential vorticity anomalies

Fischer, Christoph; Fink, Andreas H.; Schömer, Elmar; van der Linden, Roderick; Maier-Gerber, Michael; Rautenhaus, Marc; Riemer, Michael

doi:https://doi.org/10.5194/gmd-15-4447-2022

Articles | Volume 15, issue 11

https://doi.org/10.5194/gmd-15-4447-2022

© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.

https://doi.org/10.5194/gmd-15-4447-2022

© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.

Articles | Volume 15, issue 11

Methods for assessment of models

|

09 Jun 2022

Methods for assessment of models |

| 09 Jun 2022

A novel method for objective identification of 3-D potential vorticity anomalies

Christoph Fischer, Andreas H. Fink, Elmar Schömer, Roderick van der Linden, Michael Maier-Gerber, Marc Rautenhaus, and Michael Riemer

Model code and software

A novel method for objective identification of 3-D potential vorticity anomalies - Implementation Christoph Fischer, Andreas H. Fink, Elmar Schömer, Roderick Van der Linden, Michael Maier-Gerber, Marc Rautenhaus, and Michael Riemer https://doi.org/10.5281/zenodo.5638561

Video supplement

A novel method for objective identification of 3-D potential vorticity anomalies - Visualizations using Met.3D Christoph Fischer, Marc Rautenhaus, Andreas H. Fink, Elmar Schömer, Roderick Van der Linden, Michael Maier-Gerber, and Michael Riemer https://doi.org/10.5281/zenodo.5639001

Short summary

Potential vorticity (PV) analysis plays a central role in studying atmospheric dynamics. For example, anomalies in the PV field near the tropopause are linked to extreme weather events. In this study, an objective strategy to identify these anomalies is presented and evaluated. As a novel concept, it can be applied to three-dimensional (3-D) data sets. Supported by 3-D visualizations, we illustrate advantages of this new analysis over existing studies along a case study.