Estimations of Hazardous Convective Weather in the United States Using Dynamical Downscaling

被引:51
|
作者
Gensini, Vittorio A. [1 ]
Mote, Thomas L. [2 ]
机构
[1] Coll DuPage, Meteorol Program, Glen Ellyn, IL 60137 USA
[2] Univ Georgia, Dept Geog, Climatol Res Lab, Athens, GA 30602 USA
关键词
SEVERE THUNDERSTORM; CLIMATE MODEL; TORNADO; PRECIPITATION; SYSTEM; ENVIRONMENTS; SIMULATIONS; LOSSES;
D O I
10.1175/JCLI-D-13-00777.1
中图分类号
P4 [大气科学(气象学)];
学科分类号
0706 ; 070601 ;
摘要
High-resolution (4 km; hourly) regional climate modeling is utilized to resolve March May hazardous convective weather east of the U.S. Continental Divide for a historical climate period (1980-90). A hazardous convective weather model proxy is used to depict occurrences of tornadoes, damaging thunderstorm wind gusts, and large hail at hourly intervals during the period of record. Through dynamical downscaling, the regional climate model does an admirable job of replicating the seasonal spatial shifts of hazardous convective weather occurrence during the months examined. Additionally, the interannual variability and diurnal progression of observed severe weather reports closely mimic cycles produced by the regional model. While this methodology has been tested in previous research, this is the first study to use coarse-resolution global climate model data to force a high-resolution regional model with continuous seasonal integration in the United States for purposes of resolving severe convection. Overall, it is recommended that dynamical downscaling play an integral role in measuring climatological distributions of severe weather, both in historical and future climates.
引用
收藏
页码:6581 / 6589
页数:9
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