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DOI | 10.1016/j.atmosres.2020.104865 |
Analysis of sounding derived parameters and application to severe weather events in the Canary Islands | |
Suárez Molina D.; Fernández-González S.; Suárez González J.C.; Oliver A. | |
发表日期 | 2020 |
ISSN | 0169-8095 |
卷号 | 237 |
英文摘要 | Severe 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). © 2020 Elsevier B.V. |
英文关键词 | Deep convection; Severe weather events; Soundings; Subtropical atmosphere |
学科领域 | Thunderstorms; Weather information services; Weather satellites; Convective precipitation; Deep convection; Derived parameters; Observation data; Severe weather events; Soundings; Total precipitable water; Vector magnitude; Rain; atmospheric convection; hail; precipitation assessment; rainfall; severe weather; thunderstorm; weather forecasting; Atlantic Ocean; Atlantic Ocean (Subtropical); Canary Islands; North Africa; Spain |
语种 | 英语 |
scopus关键词 | Thunderstorms; Weather information services; Weather satellites; Convective precipitation; Deep convection; Derived parameters; Observation data; Severe weather events; Soundings; Total precipitable water; Vector magnitude; Rain; atmospheric convection; hail; precipitation assessment; rainfall; severe weather; thunderstorm; weather forecasting; Atlantic Ocean; Atlantic Ocean (Subtropical); Canary Islands; North Africa; Spain |
来源期刊 | Atmospheric Research
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文献类型 | 期刊论文 |
条目标识符 | http://gcip.llas.ac.cn/handle/2XKMVOVA/120442 |
作者单位 | State Meteorological Agency (AEMET), Spain; University Institute for Intelligent Systems and Numerical Applications in Engineering (SIANI), University of Las Palmas de Gran Canaria, Spain |
推荐引用方式 GB/T 7714 | Suárez Molina D.,Fernández-González S.,Suárez González J.C.,et al. Analysis of sounding derived parameters and application to severe weather events in the Canary Islands[J],2020,237. |
APA | Suárez Molina D.,Fernández-González S.,Suárez González J.C.,&Oliver A..(2020).Analysis of sounding derived parameters and application to severe weather events in the Canary Islands.Atmospheric Research,237. |
MLA | Suárez Molina D.,et al."Analysis of sounding derived parameters and application to severe weather events in the Canary Islands".Atmospheric Research 237(2020). |
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