KIT | KIT-Bibliothek | Impressum | Datenschutz

Towards a low-cost approach to identify sting jets in numerical models

Eisenstein, Lea ORCID iD icon 1; Pinto, Joaquim G. 1; Knippertz, Peter ORCID iD icon 1
1 Institut für Meteorologie und Klimaforschung Troposphärenforschung (IMKTRO), Karlsruher Institut für Technologie (KIT)

Abstract (englisch):

Sting jets (SJ) have been a research interest in the extratropical cyclone community for the last two decades. An SJ is a descending airstream that can develop in Shapiro-Keyser-type cyclones, bringing high winds to the surface. As extratropical cyclones are usually accompanied by high wind gusts and heavy precipitation, they are considered one of the most hazardous weather phenomena in Europe, especially during wintertime. While winds are often associated with the warm or cold jet (WJ and CJ, respectively), cold-frontal convection or cold-sector winds, SJs are less common but –if occurring– are often found to have caused the highest gusts.

Recently, we introduced RAMEFI (RAndom-forest-based MEsoscale wind Feature Identification), the first objective and flexible identification tool for high-wind features within cyclones, using a probabilistic random forest. RAMEFI can be applied to observational and gridded datasets independently of spatial distribution based on eight surface parameters. However, it is challenging to distinguish the SJ from the CJ in surface parameters alone, as their characteristics are similar such that the two features have been combined in RAMEFI so far. ... mehr


Originalveröffentlichung
DOI: 10.5194/ems2024-646
Zugehörige Institution(en) am KIT Institut für Meteorologie und Klimaforschung Troposphärenforschung (IMKTRO)
Publikationstyp Vortrag
Publikationsdatum 05.09.2024
Sprache Englisch
Identifikator KITopen-ID: 1000174928
Veranstaltung 25th EMS Annual Meeting (2024), Barcelona, Spanien, 02.09.2024 – 06.09.2024
KIT – Die Forschungsuniversität in der Helmholtz-Gemeinschaft
KITopen Landing Page