采用基于天气雷达数据的冰雹检测方法使用算法Severe heil Index (SHI)

Abdullah Ali, U. Sa’adah
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引用次数: 0

摘要

最小8.25毫米。模拟通过将SHI值与WT进行比较来完成,然后使用WT来确定POD(检测可能性),CSI(关键成功指数)和FAR(虚警率)值。本模拟的POD值分别为0.307和0.230,FAR为0.0,CSI为0.307。FAR值为0.0表明该方法检测或预测冰雹存在的错误率很小,但POD值仍然比较低,因此该方法在现场检测结果是否存在也比较困难。仿真结果表明,有必要对小波变换公式进行修改,以提高SHI方法对冰雹事件的检测和预测性能。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Implementasi Metode Deteksi Hujan Es Berbasis Data Radar Cuaca Menggunakan Algoritma Severe Hail Index (SHI)
minimum of 8.25 mm. The simulation is done by comparing the SHI value with WT which is then used to determine the POD (Possibility of Detection), CSI (Critical Success Index) and FAR (False Alarm Ratio) values. POD in this simulation obtained values of 0.307 and 0.230, FAR 0.0, and CSI 0.307. FAR value of 0.0 indicates this method has a very small error rate to detect or predict the presence of hail but the POD value is still relatively low, so this method is also quite difficult to detect the existence of results in the field. The simulation results indicate that it is necessary to modify the WT formulation to improve the performance of the SHI method in detecting and predicting hail events.
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