Near-Storm Environments of Outbreak and Isolated Tornadoes

被引:23
作者
Anderson-Frey, Alexandra K. [1 ]
Richardson, Yvette P. [1 ]
Dean, Andrew R. [2 ]
Thompson, Richard L. [2 ]
Smith, Bryan T. [2 ]
机构
[1] Penn State Univ, University Pk, PA 16802 USA
[2] Storm Predict Ctr, Norman, OK USA
基金
加拿大自然科学与工程研究理事会;
关键词
SELF-ORGANIZING MAPS; PROXIMITY SOUNDINGS; HOURLY ASSIMILATION; FORECAST CYCLE; CLASSIFICATION; SUPERCELL;
D O I
10.1175/WAF-D-18-0057.1
中图分类号
P4 [大气科学(气象学)];
学科分类号
0706 ; 070601 ;
摘要
Between 2003 and 2015, there were 5343 outbreak tornadoes and 9389 isolated tornadoes reported in the continental United States. Here, the near-storm environmental parameter-space distributions of these two categories are compared via kernel density estimation, and the seasonal, diurnal, and geographical features of near-storm environments of these two sets of events are compared via self-organizing maps (SOMs). Outbreak tornadoes in a given geographical region tend to be characterized by greater 0-1-km storm-relative helicity and 0-6-km vector shear magnitude than isolated tornadoes in the same geographical region and also have considerably higher tornado warning-based probability of detection (POD) than isolated tornadoes. A SOM of isolated tornadoes highlights that isolated tornadoes with higher POD also tend to feature higher values of the significant tornado parameter (STP), regardless of the specific shape of the area of STP. For a SOM of outbreak tornadoes, when two outbreak environments with similarly high magnitudes but different patterns of STP are compared, the difference is primarily geographical, with one environment dominated by Great Plains and Midwest outbreaks and another dominated by outbreaks in the southeastern United States. Two specific tornado outbreaks are featured, and the events are placed into their climatological context with more nuance than typical single proximity sounding-based approaches would allow.
引用
收藏
页码:1397 / 1412
页数:16
相关论文
共 30 条
[1]   Self-Organizing Maps for the Investigation of Tornadic Near-Storm Environments [J].
Anderson-Frey, Alexandra K. ;
Richardson, Yvette P. ;
Dean, Andrew R. ;
Thompson, Richard L. ;
Smith, Bryan T. .
WEATHER AND FORECASTING, 2017, 32 (04) :1467-1475
[2]   Investigation of Near-Storm Environments for Tornado Events and Warnings [J].
Anderson-Frey, Alexandra K. ;
Richardson, Yvette P. ;
Dean, Andrew R. ;
Thompson, Richard L. ;
Smith, Bryan T. .
WEATHER AND FORECASTING, 2016, 31 (06) :1771-1790
[3]  
[Anonymous], 2011, ELECT J SEVERE STORM, DOI DOI 10.55599/EJSSM.V6I2.29
[4]  
Benjamin SG, 2004, MON WEATHER REV, V132, P495, DOI 10.1175/1520-0493(2004)132<0495:AHACTR>2.0.CO
[5]  
2
[6]   A North American Hourly Assimilation and Model Forecast Cycle: The Rapid Refresh [J].
Benjamin, Stanley G. ;
Weygandt, Stephen S. ;
Brown, John M. ;
Hu, Ming ;
Alexander, Curtis R. ;
Smirnova, Tatiana G. ;
Olson, Joseph B. ;
James, Eric P. ;
Dowell, David C. ;
Grell, Georg A. ;
Lin, Haidao ;
Peckham, Steven E. ;
Smith, Tracy Lorraine ;
Moninger, William R. ;
Kenyon, Jaymes S. ;
Manikin, Geoffrey S. .
MONTHLY WEATHER REVIEW, 2016, 144 (04) :1669-1694
[7]  
Brooks HE, 2003, WEATHER FORECAST, V18, P626, DOI 10.1175/1520-0434(2003)018<0626:CEOLDT>2.0.CO
[8]  
2
[9]   NWS Tornado Warnings with Zero or Negative Lead Times [J].
Brotzge, J. ;
Erickson, S. .
WEATHER AND FORECASTING, 2009, 24 (01) :140-154
[10]   A simple and flexible method for ranking severe weather events [J].
Doswell, C. A., III ;
Edwards, R. ;
Thompson, R. L. ;
Hart, J. A. ;
Crosbie, K. C. .
WEATHER AND FORECASTING, 2006, 21 (06) :939-951