Please use this identifier to cite or link to this item: http://hdl.handle.net/10553/70192
DC FieldValueLanguage
dc.contributor.authorSuárez Molina, Daviden_US
dc.contributor.authorFernández-González, Sergioen_US
dc.contributor.authorSuárez González, Juan Carlosen_US
dc.contributor.authorOliver, Alberten_US
dc.date.accessioned2020-02-06T07:17:05Z-
dc.date.available2020-02-06T07:17:05Z-
dc.date.issued2020en_US
dc.identifier.issn0169-8095en_US
dc.identifier.otherScopus-
dc.identifier.urihttp://hdl.handle.net/10553/70192-
dc.description.abstractSevere weather phenomena have serious consequences in Canary Islands. This archipelago is located in the subtropical Atlantic Ocean, west of North Africa. For this reason, its climatic characteristics differ greatly from those of mainland Spain. The importance of forecasting convective precipitation mainly lies in the damage caused by flooding. Therefore, an adequate knowledge of the thresholds for the convective indices associated with severe thunderstorms in the Canary Islands is crucial for minimizing the damage that these events cause. In this paper, 7021 soundings from the Güimar station (id = 60,018, Tenerife, Spain) during the period 2009–2018 were analysed. Observation data are used to categorize soundings as representative of conditions for no thunder episodes, general thunder, rainfall ≥15 mm/h, rainfall ≥30 mm/h and hail or wind gusts ≥120 km/h. From sounding data, several parameters were computed. For some parameters, the results show remarkable differences between categories. In the studied region, thunderstorms are not expected when CAPE values are close to 0 J/kg and the lapse rate in the 0–3 km layer is below 5 °C/km. On the other hand, heavy rainfall events (rainfall ≥30 mm/h) show the highest median of CAPE, a high median total precipitable water (TPW, close to 30 mm) and the lapse rate decreases with height. Finally, hailstorm events are characterized by High Shear (shear vector magnitude ≥35 kt) and Low CAPE (surface-based CAPE ≤500 J/kg and most unstable parcel CAPE ≤1000 J/kg) environments (HSLC).en_US
dc.languageengen_US
dc.relation.ispartofAtmospheric Researchen_US
dc.sourceAtmospheric Research [ISSN 0169-8095], v. 237 (104865)en_US
dc.subject250909 Predicción numérica meteorológicaen_US
dc.subject1206 Análisis numéricoen_US
dc.subject120326 Simulaciónen_US
dc.subject.otherDeep convection-
dc.subject.otherSevere weather events-
dc.subject.otherSoundings-
dc.subject.otherSubtropical atmosphere-
dc.titleAnalysis of sounding derived parameters and application to severe weather events in the Canary Islandsen_US
dc.typeinfo:eu-repo/semantics/articleen_US
dc.typeArticleen_US
dc.identifier.doi10.1016/j.atmosres.2020.104865en_US
dc.identifier.scopus85078509304-
dc.identifier.isi000525323100019-
dc.contributor.authorscopusid57214240847-
dc.contributor.authorscopusid53463448400-
dc.contributor.authorscopusid57214240161-
dc.contributor.authorscopusid55499226000-
dc.identifier.eissn1873-2895-
dc.identifier.issue104865-
dc.relation.volume237en_US
dc.investigacionCiencias-
dc.type2Artículoen_US
dc.contributor.daisngid7794390-
dc.contributor.daisngid1958077-
dc.contributor.daisngid1712517-
dc.contributor.daisngid35509817-
dc.description.numberofpages12en_US
dc.utils.revision-
dc.contributor.wosstandardWOS:Molina, DS-
dc.contributor.wosstandardWOS:Fernandez-Gonzalez, S-
dc.contributor.wosstandardWOS:Gonzalez, JCS-
dc.contributor.wosstandardWOS:Oliver, A-
dc.date.coverdateJunio 2020en_US
dc.identifier.ulpgces
dc.description.sjr1,566
dc.description.jcr4,676
dc.description.sjrqQ1
dc.description.jcrqQ1
item.grantfulltextnone-
item.fulltextSin texto completo-
crisitem.author.deptSIANI: Modelización y Simulación Computacional-
crisitem.author.deptIU Sistemas Inteligentes y Aplicaciones Numéricas-
crisitem.author.deptMatemáticas-
crisitem.author.orcid0000-0002-3783-8670-
crisitem.author.parentorgIU Sistemas Inteligentes y Aplicaciones Numéricas-
crisitem.author.fullNameOliver Serra, Albert-
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