Wind Shear and the Strength of Severe Convective PhenomenaPreliminary Results from Poland in 2011-2015

被引:8
作者
Pilorz, Wojciech [1 ,2 ]
Laskowski, Igor [2 ,3 ]
Lupikasza, Ewa [1 ]
Taszarek, Mateusz [4 ]
机构
[1] Univ Silesia, Dept Climatol, Bedzinska Str 60, PL-41200 Sosnowiec, Poland
[2] Skywarn Poland Assoc, 29 November Str 18-19, PL-00465 Warsaw, Poland
[3] Univ Technol Opole, Fac Prod Engn & Logist, Proszkowska Str 76, PL-45758 Opole, Poland
[4] Adam Mickiewicz Univ, Dept Climatol, Dziegielowa Str 27, PL-61680 Poznan, Poland
关键词
wind shear; deep moist convection; large hail; severe wind gusts; tornadoes; Poland;
D O I
10.3390/cli4040051
中图分类号
P4 [大气科学(气象学)];
学科分类号
0706 ; 070601 ;
摘要
Severe convective phenomena cause significant loss in the economy and, primarily, casualties. Therefore, it is essential to forecast such extreme events to avoid or minimize the negative consequences. Wind shear provides an updraft-downdraft separation in the convective cell, which extends the cell lifetime. Wind shears between a few different air layers have been examined in all damaging convective cases in Poland, taken from the European Severe Weather Database between 2011 and 2015, in order to find their values and patterns according to the intensity of this phenomenon. Each severe weather report was assigned wind shear values from the nearest sounding station, and subsequently the presented summary was made. It was found that wind shear values differ between the given phenomena and their intensity. This regularity is particularly visible in shears containing 0 km wind. The highest shears occur within wind reports. Lower values are associated with hail reports. An important difference between weak and F1+ tornadoes was found in most of the wind shears. Severe phenomena probability within 0-6 km and 0-1 km shears show different patterns according to the phenomena and their intensity. This finding has its application in severe weather forecasting.
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页数:17
相关论文
共 47 条
[1]  
[Anonymous], KINEMATICS MULTICELL
[2]  
[Anonymous], 2000, GLOSSARY METEOROLOGY
[3]  
Blanchard D. O., 2011, WEATHER FORECAST
[4]  
Brooks H. E., 2009, ATMOS RES
[5]  
Brooks H. E., 2013, ATMOS RES
[6]  
Brooks HE, 1993, GEOPHYS MONOGR SER
[7]  
Changnon SA, 1999, J APPL METEOROL, V38, P1730, DOI 10.1175/1520-0450(1999)038<1730:DAAFDH>2.0.CO
[8]  
2
[9]  
Craven J. P., 2004, 21 C SEVERE LOCAL ST, V28, P13
[10]  
Doswell C. A., 1993, TORNADO ITS STRUCTUR, P713