globalchange  > 影响、适应和脆弱性
DOI: 10.1016/j.atmosres.2017.11.019
Scopus记录号: 2-s2.0-85037028461
论文题名:
Exploring radar and lightning variables associated with the Lightning Jump. Can we predict the size of the hail?
作者: Farnell C.; Rigo T.; Pineda N.
刊名: Atmospheric Research
ISSN: 1698095
出版年: 2018
卷: 202
起始页码: 175
结束页码: 186
语种: 英语
英文关键词: Catalonia ; Hail size ; Lightning Jump ; Nowcasting ; Radar variables
Scopus关键词: Lightning ; Radar ; Catalonia ; Iberian Peninsula ; Nowcasting ; Severe weather ; Surveillance task ; Validation phase ; Precipitation (meteorology) ; algorithm ; hail ; lightning ; nowcasting ; prediction ; radar ; thunderstorm ; warning system ; Catalonia ; Spain
英文摘要: Severe weather regularly hits the Lleida Plain (western part of Catalonia, NE of Iberian Peninsula), causing important damage to the local agriculture. In order to help severe weather surveillance tasks, the Meteorological Service of Catalonia (SMC) implemented in 2016 the Lightning Jump (LJ) algorithm as operative warning tool after an exhaustive validation phase of several months. The present study delves into the analysis of the relationship between Lightning Jump alerts and hail occurrence, through the analysis of lightning and radar variables in the moment when the warning is issued. Overall, the study has consisted of the analysis of 149 cases, grouping them into two categories according to hail size: small and large hail, with a threshold of 2 cm of diameter. The thunderstorms related to big sized hail presented remarkable differences in some of the variables analysed that could help forecast the size of hail when the LJ alert is triggered. Moreover, other variables have been allowed to observe and to corroborate how the LJ algorithm works during the 13 min before the warning is triggered. © 2017 Elsevier B.V.
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资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/108985
Appears in Collections:影响、适应和脆弱性
气候变化事实与影响

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作者单位: Meteorological Service of Catalonia, C/Berlin, 38-46, Barcelona, Spain

Recommended Citation:
Farnell C.,Rigo T.,Pineda N.. Exploring radar and lightning variables associated with the Lightning Jump. Can we predict the size of the hail?[J]. Atmospheric Research,2018-01-01,202
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