{"title":"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)","authors":"Abdullah Ali, U. Sa’adah","doi":"10.25077/jfu.11.3.380-386.2022","DOIUrl":null,"url":null,"abstract":"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.","PeriodicalId":221594,"journal":{"name":"Jurnal Fisika Unand","volume":"14 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-07-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Implementasi Metode Deteksi Hujan Es Berbasis Data Radar Cuaca Menggunakan Algoritma Severe Hail Index (SHI)\",\"authors\":\"Abdullah Ali, U. Sa’adah\",\"doi\":\"10.25077/jfu.11.3.380-386.2022\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"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.\",\"PeriodicalId\":221594,\"journal\":{\"name\":\"Jurnal Fisika Unand\",\"volume\":\"14 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2022-07-05\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Jurnal Fisika Unand\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.25077/jfu.11.3.380-386.2022\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Jurnal Fisika Unand","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.25077/jfu.11.3.380-386.2022","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
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.