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首页> 外文期刊>Journal of Applied Meteorology and Climatology >An Evaluation of Thunderstorm Observations in Southern Ontario Using Automated Lightning Detection Data
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An Evaluation of Thunderstorm Observations in Southern Ontario Using Automated Lightning Detection Data

机译:利用自动雷电探测数据对安大略省南部的雷暴观测进行评估

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摘要

High-impact weather events, such as thunderstorms and their associated hazards, are aspects of a changing climate that are likely to have an adverse effect on society. Southern Ontario is Canada's most populated region as well as the region of Canada that receives the most thunderstorms. Before completing climatological studies of thunderstorms in southern Ontario, it is important to determine whether historical thunderstorm data are reliable. Archived thunderstorm data are available from eight 24-h-staffed weather stations across southern Ontario. The data may be subject to observer bias. This study compared the manual observations of thunderstorms with automated data from the Canadian Lightning Detection Network. It was found that the data that are based on the manual observations are reliable enough that any significant trends in thunderstorm occurrence over time should be apparent. Because of the small-scale nature of thunderstorms, however, the data may only be valid for small distances (up to 10 km) around each weather station. A diurnal bias was also discovered, with manual thunderstorm observations being slightly better at night.
机译:雷雨等高影响力的天气事件及其相关危害是气候变化的方面,可能会对社会造成不利影响。安大略省南部是加拿大人口最多的地区,也是雷暴最多的加拿大地区。在完成安大略省南部的雷暴气候学研究之前,确定历史雷暴数据是否可靠很重要。可以从安大略省南部的八个24小时职员气象站获得存档的雷暴数据。数据可能会受到观察者的偏见。本研究将雷暴的手动观测与加拿大闪电探测网络的自动数据进行了比较。已经发现,基于手动观测的数据足够可靠,因此随时间推移雷暴发生的任何重要趋势都应显而易见。但是,由于雷暴的规模性质,该数据仅对每个气象站附近的小距离(最长10 ​​km)有效。还发现了昼夜偏差,夜间人工雷暴观测略好一些。

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