Identification of high-wind features within extratropical  cyclones using a probabilistic random forest  – Part 2: Climatology over Europe

Eisenstein, Lea; Schulz, Benedikt; Pinto, Joaquim G.; Knippertz, Peter

doi:https://doi.org/10.5194/wcd-4-981-2023

Articles | Volume 4, issue 4

https://doi.org/10.5194/wcd-4-981-2023

© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.

https://doi.org/10.5194/wcd-4-981-2023

© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.

Articles | Volume 4, issue 4

Research article

|

20 Nov 2023

Research article |

| 20 Nov 2023

Identification of high-wind features within extratropical cyclones using a probabilistic random forest – Part 2: Climatology over Europe

Lea Eisenstein, Benedikt Schulz, Joaquim G. Pinto, and Peter Knippertz

Data sets

Identification of high-wind features within extratropical cyclones using a probabilistic random forest - Part 2: Climatology - Dataset L. Eisenstein, B. Schulz, J. G. Pinto, and P. Knippertz https://doi.org/10.5281/zenodo.8370478

Model code and software

RAMEFI (RAndom-forest based MEsoscale wind Feature Identification) L. Eisenstein, B. Schulz, G. A. Qadir, J. G. Pinto, and P. Knippertz https://doi.org/10.5281/zenodo.6541303

RAMEFI L. Eisenstein, B. Schulz, G. A. Qadir, J. G. Pinto, and P. Knippertz https://gitlab.physik.uni-muenchen.de/Lea.Eisenstein/ramefi

Video supplement

Identification of high-wind features within extratropical cyclones using a probabilistic random forest - Part 2: Climatology - Video Supplement L. Eisenstein, B. Schulz, J. G. Pinto, and P. Knippertz https://doi.org/10.5281/zenodo.7729357

Short summary

Mesoscale high-wind features within extratropical cyclones can cause immense damage. In Part 1 of this work, we introduced RAMEFI (RAndom-forest-based MEsoscale wind Feature Identification), an objective, flexible identification tool for these wind features based on a probabilistic random forest. Here, we use RAMEFI to compile a climatology of the features over 19 extended winter seasons over western and central Europe, focusing on relative occurrence, affected areas and further characteristics.