佛山强降水与微压计滑动离散功率谱前置信号关联分析
The Analysis Between Foshan Heavy Precipitation and Pre-Signal of Sliding Discrete Power Spectrum on Micromanometer
中文摘要：
通过对佛山微压计站收集的气压数据进行滑动离散功率谱处理，以3 h作为窗口，每分钟进行一次功率谱分析，分解出2～90 min信号，对后续强降水过程进行关联分析，得到如下结论：微压计滑动离散功率谱前置信号出现在强降水发生前大概1 h左右的时间，并且伴随降水增强；风场和气压场信号对强降水没有提前预警信号出现，只在降水过程中可能出现响应；重力波信号提前量在不同强降水过程中不尽相同，在研究时段内，对70%以上的降水过程有0.5 h的信号超前预警，50%的强降水能在发生1 h之前能获取重力波信号；微压计滑动离散功率谱前置信号可以作为短时强对流的预警信号之一，后续可以考虑把信号系统化，或加入到气象模型中。
中文关键词：
滑动离散功率谱，微压计，强降水
KeyWords：
dynamic spectrum analysis, micro piezometer, heavy precipitation
Abstract：
Using the sliding discrete power spectrum processing of the atmospheric pressure data collected by Foshan micro pressure meter station, taking 3 hours as the window, we decomposed the 2?90 min signal. The correlation analysis was carried out for the follow-up heavy rainfall process. The results show that the micro barometer sliding discrete power spectrum pre signal occurred about 1 hour before the occurrence of heavy rainfall, and was accompanied by the rainfall nhancement. The signals of wind and pressure field had no early warning signal for heavy rainfall, but only had possible response when the precipitation was in progress. For more than 70% of heavy precipitation processes, the signals can be forewarned for 0.5 h, and 50% can be ahead of 1 h. The front signal of micro barometer sliding discrete power spectrum can be used as one of the early warning signals of shortterm severe convection In the future, and the signal would be systematized or added to the meteorological models.