基于2007-2015年数据的雷达反射率特征和波兰特大冰雹警报的可能提前时间

IF 0.9 Q4 ENVIRONMENTAL STUDIES
Wojciech Pilorz, E. Łupikasza
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引用次数: 2

摘要

摘要冰雹涉及非常大的冰雹(最大直径≥5厘米),在波兰是一种罕见但非常危险的现象,可以使用反射率特征进行预测。波兰每年都会经历一到十几场这样大冰雹的风暴。尽管目前有关于冰雹风险监测中使用偏振技术的建议,但波兰没有全偏振雷达网络。因此,必须仅使用基于单个雷达系统的反射率技术来检查冰雹探测能力,该雷达系统涉及冰雹探测算法,如Waldvogel等人(1979)或与手动特征分析相结合的垂直集成液体阈值,以获得更好的警报决策。本研究旨在利用波兰雷达系统和欧洲恶劣天气数据库2007-2015年期间的数据,确定波兰伴有特大冰雹的严重风暴的反射率特征、阈值和预报提前期。大多数涉及特大冰雹的事件都与具有独特反射率特征的超级单体风暴有关,然而,一些具有特大冰雹的风暴的特征发育非常差。这些特征使人们能够在冰雹落下前约29分钟预测到冰雹涉及非常大的冰雹。Lemon(1980)标准和WER被认为是波兰雷达系统条件下的最佳冰雹预测因子。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Radar reflectivity signatures and possible lead times of warnings for very large hail in Poland based on data from 2007-2015
Abstract Hail involving very large hailstones (maximum diameter ≥ 5 cm), is a rare but very hazardous phenomenon in Poland, and can be forecast using reflectivity signatures. Every year, Poland experiences from one to over a dozen storms with such large hailstones. Despite the current recommendations regarding polarimetric techniques used in hail risk monitoring, Poland does not have a fully polarimetric radar network. Therefore it is essential to check hail detection capabilities using only reflectivity techniques based on individual radar systems involving hail detection algorithms such as Waldvogel et al. (1979) or Vertically Integrated Liquid thresholds connected with manual signature analysis to get better warning decisions. This study is aimed to determine the reflectivity features, thresholds and lead times for nowcasting of severe storms with very large hailstones in Poland, using data from the Polish radar system and from the European Severe Weather Database for the period 2007–2015. Most incidents involving very large hailstones were linked to supercell storms with distinctive reflectivity signatures, however, some storms with extremely large hailstones presented very poorly developed signatures. These signatures enabled the prediction of hail involving very large hailstones approximately 29 minutes before it fell. The Lemon (1980) criterion and WER were found to be the best hail predictors for Polish radar system conditions.
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CiteScore
2.20
自引率
0.00%
发文量
18
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