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Analysis of thunderstorm gust front characteristics and its convection triggering effect in Hubei Province
WEI Huihong, WU Cuihong, WEI Fan, LU Yi, KONG Haimei, ZHAO Huan
Journal of Arid Meteorology    2023, 41 (1): 73-81.   DOI: 10.11755/j.issn.1006-7639(2023)-01-0073
Abstract426)   HTML11)    PDF(pc) (4100KB)(856)       Save

In order to systematically study the characteristics of thunderstorm gust fronts in Hubei, Doppler radar data and automatic weather station data from 2016 to 2021 in Hubei Province are used to make a comprehensive statistical analysis. The results are as follows: (1) Gust fronts mainly occurred from June to August in Hubei Province, accounting for 96% of the total, and in August it was the most. The gust front mainly occurred during 15:00-18:00 in a day with the peak value at 17:00, and most gust fronts lasted for 1.5-3.0 h. Among the mother thunderstorms that generated gust fronts, 35% were multi-cell thunderstorms, 40% were multi-cell thunderstorm groups, and 25% were squall lines. (2) There were five main generation areas of gust fronts, including the area outside the province, the northeast Hubei, the Jianghan Plain, Xiangyang in the northwest Hubei and Yichang in the southwest Hubei, and the moving direction of gust fronts generated in the same area had good regularity. The gust fronts in the northeast Hubei was the most, accounting for 33% of the total. (3) Not all mother thunderstorms and their gust fronts can cause surface gales. The maximum ground wind speed generated by 69% mother thunderstorms and 9% gust front was equal to or greater than 17.0 m·s-1. In multi-cell thunderstorm and multi-cell thunderstorm groups, the stronger the echo intensity of the mother thunderstorm, the greater the probability of surface gale generated by the mother thunderstorm and its gust front, and the intensity of surface wind speed generated by the gust front had little relationship with the echo intensity and spatial scale. (4) Gust fronts had strong convective triggering ability, and 91% of gust fronts can trigger convective cells behind, near and in front of them. The feedback effect of the thunderstorm and its gust front is different, and the relative position of the convection trigger and the gust front is different. The positive feedback type mostly triggered convection behind the gust front. The negative feedback type can trigger convection behind, near and in front of the gust front, the intensity of 29% of convective cells was equal to or greater than 55 dBZ. The 35% of the gust fronts merged with the surrounding thunderstorms to form a combined gust front, which occurred most in the northeast Hubei.

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Research on Risk Forecast of Transmission Lines Icing in Northern Hebei Province
WANG Xin, LU Yi, ZHANG Xu, YANG Linhan, WU Huiqin
Journal of Arid Meteorology    2020, 38 (1): 164-168.  
Abstract256)      PDF(pc) (441KB)(1481)       Save
Based on the data of transmission line icing accidents in Northern Hebei  Province and power microweather station observations from 2012 to 2015 provided by the power company, the characteristics of spatial and temporal distribution of transmission line icing accidents were analyzed. Meanwhile, the daily minimum temperature, maximum temperature, average relative humidity, average wind speed and daily precipitation were selected as forecast factors. The risk prediction model for transmission line icing was built and verified. The results show that transmission line icing accidents mostly occurred in mountainous areas in Northern Hebei Province and mainly from November to May of the following year. Different types of underlying surfaces corresponded to different types of ice accidents. More than 56% of icing flashover occurred in plain and the plateau on bam, and dancing mainly distributed in mountains and valleys. Most accidents occurred when minimum daily temperature ranged from -8 to 0 ℃, the maximum daily temperature ranged from -4 to 4 ℃, the average daily relative humidity was above 80%, and the average daily wind speed ranged from 1 to 3 m·s-1. The test results of prediction model of transmission line icing accidents showed that when transmission line icing accidents happened, the prediction results were all above level 2, and there was no false negatives, but there was a small false alarm rate.


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