A method of processing thunderstorm core correlations

A processing method and related technology, applied in measurement devices, meteorology, scientific instruments, etc., can solve the problem of not being able to give the geographical distribution density of lightning, not solving the problem of quantification of cloud-to-ground flash frequency, not giving the single form and Volume changes and other issues to achieve the effect of classification and optimization

Active Publication Date: 2018-12-21
合肥佳讯科技有限公司
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AI Technical Summary

Problems solved by technology

[0004] Although these methods can accurately identify and track thunderstorms, they still have the following deficiencies: (1) This method generally combines radar data, atmospheric stability data and meteorological satellite images to predict the time and approximate occurrence area of ​​​​thunderstorms, and cannot give the designated area (2) Although this method studies the change law of cloud-to-ground lightning frequency in different life cycles of thunderstorms, it only gives qualitative results, and does not solve the quantification of cloud-to-ground lightning frequency with the evolution of thunderstorm generation and disappearance Problem; (3) The SCIT method only recognizes individual monomers, but does not recognize the complex of several monomers, nor does it give the shape and volume changes of the monomers

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  • A method of processing thunderstorm core correlations
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  • A method of processing thunderstorm core correlations

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Embodiment 1

[0036] The invention provides a method for processing thunderstorm nuclear correlation, such as figure 1 As shown, this method is based on the lightning data transmitted by the detection point, using the arrival time difference algorithm to obtain real-time positioning data, and then using the density-reachable characteristic of the DBSCAN algorithm to aggregate the lightning data set into several clusters, and the data set of each cluster is used as The new input is then iteratively aggregated using the KMEANS algorithm to find the coordinate position of the centroid. On the basis of the cluster analysis results, the moving path of the centroid coordinate point and the intensity of lightning are fitted to obtain the correlation between thunderstorm nuclei and the change trend of thunderstorm nuclei. The results show that the method can effectively identify thunderstorms and track them in real time, and can effectively deal with the splitting and merging of thunderstorms, and ...

Embodiment 2

[0060] Select the thunderstorm weather instance data that occurred from 12:30 to 13:00 on August 19, 2017, Beijing time. A total of 14402 pieces of lightning location data occurred during this period, such as Figure 4 As shown, what is displayed is the instantaneous screen of the map of the lightning data part of the 6 minutes from 12:36 to 12:42. The half-hour data is divided into an interval of every 3 minutes on the time scale, as shown in Table 1.

[0061] Table 1 Statistical information of lightning location data at equal intervals

[0062]

[0063]

[0064] As shown in Table 1, the lightning location data are presented in a disorderly manner on the map, and the location of the thunderstorm nucleus and the correlation between the nuclei cannot be seen, nor can the evolution process of the thunderstorm nucleus be seen. The data in Table 1 is used as the original data set , input the hybrid clustering algorithm for clustering calculation. First, set the two parame...

Embodiment 3

[0066] Taking the thunderstorm data in Chuzhou, Anhui as an example, the evolution process of thunderstorms is as follows: Figure 6 As shown, the clustering results are shown in Table 2.

[0067] Table 2 Mixed clustering results

[0068] ID

[0069] It can be seen from Table 2 that with the change of time, the frequency of lightning increases and then weakens and then strengthens again, and the coordinate points of the center of mass of the thunderstorm nucleus are also constantly changing. The coordinate points of the center of mass of the thunderstorm nucleus are drawn as connected to form a thunderstorm trajectory map, such as Figure 6 As shown in the figure, it can be seen intuitively that the distribution area of ​​​​thunderstorm nuclei is moving and the correlation between thunderstorm nuclei. The frequency of lightning occurrence is as follows: Figure 7 as shown, Figure 7 The real-time information of the thunderstorm nucleus is displayed in detail, such...

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Abstract

The invention discloses a method of processing thunderstorm core correlations and the specific steps are as follows. Step A: The lightning detection points are arranged and the lightning data are recorded. The ground flash data are pre-processed and the noise data are filtered out. The effective lightning data are stored in local sever and transmitted to central sever. Step B: The central server receives the data from all detection points, employs the GPS clock synchronization technology to identify the time difference among the radiation pulses that transmit from the lightning electric fieldto all detection points, and uses the arrival time difference algorithm to calculate the spatial positioning coordinate of the lightning source. Step C: Based on the thunderstorm core positioning datacalculated in step B, the DBSCAN algorithm and the KMEANS algorithm are employed to obtain the correlations among the thunderstorm core centroid coordinate position, the lightning frequency and the thunderstorm core. The invention combines the advantages and characteristics of both DBSCAN and KMEANS algorithm, and the mixed clustering algorithm can identify the thunderstorm core in improved satisfaction and accuracy.

Description

technical field [0001] The invention belongs to the field of lightning detection, and relates to a thunderstorm core correlation processing method. Background technique [0002] Lightning is a high-intensity electromagnetic pulse phenomenon that occurs frequently in nature. Because of its large impact, it has received extensive attention from meteorology, aerospace, aviation, electric power, and petroleum departments. Thunderstorms are often accompanied by lightning, thunder, showers, strong winds, and sometimes small and medium-scale convective weather systems such as hail and tornadoes. It not only directly affects human life, but lightning strikes can also cause casualties, fires, collapse of buildings, and damage to electronic equipment. Can be damaged by induction lightning, etc. [0003] Thunderstorms develop rapidly and often vary with time and region. Its monitoring and early warning has always been a difficult point in meteorological forecasting. In recent years, ...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G01W1/10
CPCG01W1/10
Inventor 张淑萍华德梅周松柏李正罡
Owner 合肥佳讯科技有限公司
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