
Objective detection of sting jets in low‐resolution datasets
Author(s) -
MartínezAlvarado Oscar,
Gray Suzanne L.,
Clark Peter A.,
Baker Laura H.
Publication year - 2013
Publication title -
meteorological applications
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.672
H-Index - 59
eISSN - 1469-8080
pISSN - 1350-4827
DOI - 10.1002/met.297
Subject(s) - extratropical cyclone , sting , mesoscale meteorology , meteorology , instability , storm , climatology , environmental science , physics , geology , mechanics , thermodynamics
Sting jets are transient coherent mesoscale strong wind features that can cause damaging surface wind gusts in extratropical cyclones. Currently, we have only limited knowledge of their climatological characteristics. Numerical weather prediction models require enough resolution to represent slantwise motions with horizontal scales of tens of kilometres and vertical scales of just a few hundred metres to represent sting jets. Hence, the climatological characteristics of sting jets and the associated extratropical cyclones cannot be determined by searching for sting jets in low‐resolution datasets such as reanalyses. A diagnostic is presented and evaluated for the detection in low‐resolution datasets of atmospheric regions from which sting jets may originate. Previous studies have shown that conditional symmetric instability (CSI) is present in all storms studied with sting jets, while other rapidly developing storms of a similar character but no CSI do not develop sting jets. Therefore, it is assumed that the release of CSI is needed for sting jets to develop. While this instability will not be released in a physically realistic way in low‐resolution models (and hence sting jets are unlikely to occur), it is hypothesized that the signature of this instability (combined with other criteria that restrict analysis to moist mid‐tropospheric regions in the neighbourhood of a secondary cold front) can be used to identify cyclones in which sting jets occurred in reality. The diagnostic is evaluated, and appropriate parameter thresholds defined, by applying it to three case studies simulated using two resolutions (with CSI‐release resolved in only the higher‐resolution simulation). Copyright © 2011 Royal Meteorological Society and British Crown Copyright, the Met Office