A synoptic climatology of tornadoes in Virginia

被引:13
|
作者
Davis, RE
Stanmeyer, TM
Jones, GV
机构
[1] Univ Virginia, Dept Environm Sci, Charlottesville, VA 22903 USA
[2] So Oregon Univ, Dept Geog, Ashland, OR 97520 USA
关键词
synoptic climatology; tornadoes; Virginia; classification; severe weather;
D O I
10.1080/02723646.1997.10642626
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
Although tornadoes are microscale meteorological features, their occurrence is linked to the larger synoptic-scale environment. Most conceptual models of synoptic situations that give rise to tornadoes are based on conditions prevalent in the Great Plains of the United States. However, tornadoes develop in many different synoptic environments, particularly when they form beyond the boundaries of "Tornado Alley." Tornado occurrences in the state of Virginia are identified from 1951 through 1992. Using upper air data for the nearest site and observation time, a synoptic classification is produced via application of principal components analysis and cluster analysis. The five resulting synoptic classes each exhibit distinctive thermodynamic and flow conditions that serve as air-mass paradigms for tornado occurrence in Virginia. The groups include thermodynamic/northwest flow air masses, a mixed thermodynamic/dynamic category, a polar front jet situation, cool season midlatitude cyclone events, and Great Plains type tornadic air masses. A sixth type, tornadoes spawned by tropical systems, is defined separately. A variety of indices have been developed by forecasters to provide information about the likelihood of severe weather and tornadic activity. The lifted index, K-index, Showalter index, SWEAT, Totals index, and a wind shear index are calculated for each tornado event. Analysis of variance indicates that most of these indices are statistically different between synoptic classes. These results suggest that the synoptic-scale mechanisms responsible for tornado occurrence in the mid-Atlantic states are quite variable. Enhanced predictive capability could be gained by considering the prevailing synoptic conditions associated with individual storms.
引用
收藏
页码:383 / 407
页数:25
相关论文
共 50 条
  • [41] SYNOPTIC CLIMATOLOGY - THEMES, APPLICATIONS, AND PROSPECTS
    HARMAN, JR
    WINKLER, JA
    PHYSICAL GEOGRAPHY, 1991, 12 (03) : 220 - 230
  • [42] SYNOPTIC CLIMATOLOGY OF THE CANADIAN HIGH ARCTIC
    BRADLEY, RS
    ENGLAND, J
    BULLETIN OF THE AMERICAN METEOROLOGICAL SOCIETY, 1979, 60 (07) : 843 - 843
  • [43] A SYNOPTIC CHARACTERIZATION OF SOME SOUTH-AFRICAN TORNADOES
    DABRETON, P
    SOUTH AFRICAN JOURNAL OF SCIENCE, 1991, 87 (1-2) : 56 - 61
  • [44] Climatology of Tornadoes over northwest India and Pakistan; and Meteorological Analysis of recent Tornadoes over the Region
    Bhan, S. C.
    Paul, Surender
    Chakravarthy, Kalyan
    Saxena, Rahul
    Ray, Kamaljit
    Gopal, Neetha K.
    JOURNAL OF INDIAN GEOPHYSICAL UNION, 2016, 20 (01): : 75 - 88
  • [45] The climatology of tornadoes in southern Ontario: Possible effects of lake breezes
    King, P
    Leduc, M
    Murphy, B
    18TH CONFERENCE ON SEVERE LOCAL STORMS, 1996, : 627 - 630
  • [46] HEAT WAVES IN THE CENTRAL MEDITERRANEAN - A SYNOPTIC CLIMATOLOGY
    COLACINO, M
    CONTE, M
    NUOVO CIMENTO DELLA SOCIETA ITALIANA DI FISICA C-GEOPHYSICS AND SPACE PHYSICS, 1995, 18 (03): : 295 - 304
  • [47] WORK IN SYNOPTIC CLIMATOLOGY WITH A DIGITIZED DATA BANK
    CRADDOCK, JM
    METEOROLOGICAL MAGAZINE, 1970, 99 (1177): : 221 - &
  • [48] Synoptic climatology of extreme precipitation in alpine Australia
    Fiddes, Sonya Louise
    Pezza, Alexandre Bernardes
    Barras, Vaughan
    INTERNATIONAL JOURNAL OF CLIMATOLOGY, 2015, 35 (02) : 172 - 188
  • [49] Climatology of tropical cyclone tornadoes in China from 2006 to 2018
    Lanqiang BAI
    Zhiyong MENG
    Kenta SUEKI
    Guixing CHEN
    Ruilin ZHOU
    Science China(Earth Sciences), 2020, 63 (01) : 37 - 51
  • [50] Climatology of tropical cyclone tornadoes in China from 2006 to 2018
    Lanqiang Bai
    Zhiyong Meng
    Kenta Sueki
    Guixing Chen
    Ruilin Zhou
    Science China Earth Sciences, 2020, 63 : 37 - 51