An Observational Study of the Effects of Dry Air Produced in Dissipating Convective Storms on the Predictability of Severe Weather

被引:7
作者
Bluestein, Howard B. [1 ]
Snyder, Jeffrey C. [2 ]
机构
[1] Univ Oklahoma, Sch Meteorol, Norman, OK 73072 USA
[2] Natl Severe Storms Lab, Radar Res & Dev Div, Norman, OK 73069 USA
基金
美国国家科学基金会;
关键词
Gust fronts; Severe storms; Wind bursts; In situ atmospheric observations; Radars; Radar observations; Mesoscale forecasting; THUNDERSTORM OUTFLOWS; OKLAHOMA MESONET; DOPPLER RADAR; SQUALL LINES; REAR-INFLOW; MESOSCALE; FORECASTS; MODEL; PRECIPITATION; INITIATION;
D O I
10.1175/WAF-D-14-00065.1
中图分类号
P4 [大气科学(气象学)];
学科分类号
0706 ; 070601 ;
摘要
This paper documents features that led to major forecast errors on the 12-24-h time scale in the nature and location of severe weather in the southern plains on 30 May 2012. Evidence is presented that the forecast errors were the result of 1) dry air that originated in a region of dissipating, elevated convective storms, and which was advected in a narrow tongue into western Oklahoma, inhibiting convective initiation; 2) the development of a cyclone along the dryline in western Texas, to the east of which several supercells formed; 3) the upscale development of the supercells into a mesoscale convective system (MCS) at nightfall; and 4) the dissipation of an MCS that had formed along a cold front in southwestern Kansas and was propagating into northwestern Oklahoma, as it encountered dry, subsiding air underneath the stratiform precipitation region of the rear portion of the MCS farther south. There was a meridionally oriented swath of high winds in clear air, in between the two MCSs. This swath of high winds may have been associated with a bore triggered at night by the MCSs approaching from the north, as the MCS collapsed, producing a gust front that propagated through stable, low-level air. This case study illustrates how the predictability of severe weather in a region can be extremely sensitive to the details of where nearby convective storms form and how they evolve. It also highlights the likely importance of the accurate representation of cloud microphysics and dynamics in numerical forecast models on predictability.
引用
收藏
页码:79 / 114
页数:36
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