| DOI: | 10.1016/j.atmosres.2018.01.005
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| Scopus记录号: | 2-s2.0-85044271449
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| 论文题名: | Comparison and optimization of radar-based hail detection algorithms in Slovenia |
| 作者: | Stržinar G.; Skok G.
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| 刊名: | Atmospheric Research
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| ISSN: | 1698095
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| 出版年: | 2018
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| 卷: | 203 | | 起始页码: | 275
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| 结束页码: | 285
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| 语种: | 英语
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| 英文关键词: | Hail
; Optimization
; Radar
; Slovenia
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| Scopus关键词: | Optimization
; Radar
; Signal detection
; Tracking radar
; Algorithm parameters
; Contingency table
; Frequency ranges
; Ground observations
; Optimal parameter
; Performance indices
; Radar reflectivities
; Slovenia
; Precipitation (meteorology)
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| 英文摘要: | Four commonly used radar-based hail detection algorithms are evaluated and optimized in Slovenia. The algorithms are verified against ground observations of hail at manned stations in the period between May and August, from 2002 to 2010. The algorithms are optimized by determining the optimal values of all possible algorithm parameters. A number of different contingency-table-based scores are evaluated with a combination of Critical Success Index and frequency bias proving to be the best choice for optimization. The best performance indexes are given by Waldvogel and the severe hail index, followed by vertically integrated liquid and maximum radar reflectivity. Using the optimal parameter values, a hail frequency climatology map for the whole of Slovenia is produced. The analysis shows that there is a considerable variability of hail occurrence within the Republic of Slovenia. The hail frequency ranges from almost 0 to 1.7 hail days per year with an average value of about 0.7 hail days per year. © 2018 Elsevier B.V. |
| Citation statistics: |
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| 资源类型: | 期刊论文
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| 标识符: | http://119.78.100.158/handle/2HF3EXSE/108950
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| 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: | Faculty of Mathematics and Physics, University of Ljubljana, Ljubljana, Slovenia
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| Recommended Citation: | |
Stržinar G.,Skok G.. Comparison and optimization of radar-based hail detection algorithms in Slovenia[J]. Atmospheric Research,2018-01-01,203
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