Extreme low‐level wind jets in Storm <i>Ciarán</i>

Abstract Satellite imagery of Storm Ciarán as it approached the UK early on 1 November 2023 showed characteristic banding that fuelled media reports that Ciarán could contain a sting jet, with enhanced likelihood of damaging surface winds and gusts. Here operational numerical weather prediction model output is used with trajectory analysis to reveal the existence of at least two wind speed maxima attributed to sting jets. The small‐scale sting jets are located beneath, and likely affected by, far broader overrunning strong wind regions attributed to a deeply descending dry intrusion, thus highlighting the likely interaction of these airstreams at low levels.

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Publication Details

Journal
Weather
Published
2024-09-19
DOI
https://doi.org/10.1002/wea.7620
Citations
2
Primary Topic
Meteorological Phenomena and Simulations
Type
article
Field-Weighted Citation Impact
0.75

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article

Extreme low‐level wind jets in Storm Ciarán

Suzanne L. Gray, Ambrogio Volonté
2 citations
Weather
Meteorological Phenomena and Simulations
0.75
article

Extreme low‐level wind jets in Storm Ciarán

Suzanne L. Gray, Ambrogio Volonté
article en
2 citations

Abstract

Abstract Satellite imagery of Storm Ciarán as it approached the UK early on 1 November 2023 showed characteristic banding that fuelled media reports that Ciarán could contain a sting jet, with enhanced likelihood of damaging surface winds and gusts. Here operational numerical weather prediction model output is used with trajectory analysis to reveal the existence of at least two wind speed maxima attributed to sting jets. The small‐scale sting jets are located beneath, and likely affected by, far broader overrunning strong wind regions attributed to a deeply descending dry intrusion, thus highlighting the likely interaction of these airstreams at low levels.

WeatherVol. 79(12)
National Centre for Atmospheric Science (GB), University of Reading (GB)
Sight Research UK, Natural Environment Research Council
Openalex Percentile: Top 31%
Meteorological Phenomena and Simulations
0.75
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