Application of AWS Data to Analysis and Forecasting of Severe Weather
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Abstract:
Using the conventional meteorological data, radar products, and automatic weather station data, the severe convective weather event on 28 June 2008 in Taiyuan is analyzed. The results show: (1) The configuration of the upperlevel cold vortex and the middlelower level wet and warm air mass provided the favorable circulation background for the severe convective weather. (2) The shape, structure, and VIL of the radar echoes showed strong convective characteristics, and the speed convergent zone corresponded well with the surface mesoscale convergence line, which means that there was strong wind shear along the vertical direction. (3) The hourtohour temperaturechange field revealed the path and the strength of the cold air intrusion, and the negative temperaturechange center would become severe convective weather area later. (4) The triggering mechanism of the severe convection was the surface mesoscale convergence line, and the negative center of the hourtohour pressurechange field corresponded with the ensuing severe weather area well. (5) Before the convection occurred, the single station meteorological elements showed notable discontinuous changes: pressure and relative humidity changed in the same direction, and temperature changed in the opposite direction; the three elements reached the peak values synchronously one hour before the severe weather event, and the severe weather occurred during the rapidly increasing period of the element values.
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Supported by:Beijing E-Tiller Technology Development Co., Ltd.
Supported by:Beijing E-Tiller Technology Development Co., Ltd.