{"title":"利用西苏门答腊闪电资料估算雨滴大小分布参数","authors":"F. Salma, M. Marzuki, H. Hashiguchi, F. Nauval","doi":"10.25077/jif.13.2.92-100.2021","DOIUrl":null,"url":null,"abstract":"In situ observations of raindrop size distributions (DSDs) are still limited, especially in the tropics. Therefore, this study develops an alternative method to calculate DSD parameters by utilizing lightning data from the World-Wide Lightning Location Network (WWLLN) observation. DSD data was obtained from Parsivel's observations in the equatorial regions of Indonesia, i.e., Kototabang (100.32◦E, 0.20◦S, 865 m above mean sea level/ASL), Padang (100.46°E, 0.915°S, 200 m ASL), and Sicincin (100.30°E, 0.546°S, 134 m ASL). A gamma distribution parameterized the DSD. Three analysis domains were examined, with a grid of 0.1° x 0.1°, 0.5° x 0.5°, and 1° x 1°. We examined the possibility to calculate the near-instantaneous DSD parameter, so three short time intervals, namely, one, five and ten minutes, were used. The results showed that the number of lightning strokes does not adequately correlate with DSD parameters. This is observed in all time intervals and analysis domains. Thus, the use of lightning data to calculate DSD parameters is not possible for short time interval of DSD (near instantaneous DSD). However, lightning data can estimate the average DSD parameters for an average time of more than one hour, as recommended by previous studies.","PeriodicalId":52720,"journal":{"name":"JIF Jurnal Ilmu Fisika","volume":" ","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2021-06-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Estimation of Raindrop Size Distribution Parameters Using Lightning Data over West Sumatra\",\"authors\":\"F. Salma, M. Marzuki, H. Hashiguchi, F. Nauval\",\"doi\":\"10.25077/jif.13.2.92-100.2021\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In situ observations of raindrop size distributions (DSDs) are still limited, especially in the tropics. Therefore, this study develops an alternative method to calculate DSD parameters by utilizing lightning data from the World-Wide Lightning Location Network (WWLLN) observation. DSD data was obtained from Parsivel's observations in the equatorial regions of Indonesia, i.e., Kototabang (100.32◦E, 0.20◦S, 865 m above mean sea level/ASL), Padang (100.46°E, 0.915°S, 200 m ASL), and Sicincin (100.30°E, 0.546°S, 134 m ASL). A gamma distribution parameterized the DSD. Three analysis domains were examined, with a grid of 0.1° x 0.1°, 0.5° x 0.5°, and 1° x 1°. We examined the possibility to calculate the near-instantaneous DSD parameter, so three short time intervals, namely, one, five and ten minutes, were used. The results showed that the number of lightning strokes does not adequately correlate with DSD parameters. This is observed in all time intervals and analysis domains. Thus, the use of lightning data to calculate DSD parameters is not possible for short time interval of DSD (near instantaneous DSD). However, lightning data can estimate the average DSD parameters for an average time of more than one hour, as recommended by previous studies.\",\"PeriodicalId\":52720,\"journal\":{\"name\":\"JIF Jurnal Ilmu Fisika\",\"volume\":\" \",\"pages\":\"\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2021-06-12\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"JIF Jurnal Ilmu Fisika\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.25077/jif.13.2.92-100.2021\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"JIF Jurnal Ilmu Fisika","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.25077/jif.13.2.92-100.2021","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
摘要
对雨滴大小分布的原位观测仍然有限,特别是在热带地区。因此,本研究开发了一种利用全球闪电定位网(WWLLN)观测的闪电数据计算DSD参数的替代方法。DSD数据来自Parsivel在印度尼西亚赤道地区的观测,即Kototabang(100.32◦E、 0.20◦S、 平均海平面以上865 m)、巴东(100.46°E,0.915°S,200 m ASL)和锡辛(100.30°E,0.546°S,134 m ASL。伽马分布参数化DSD。检查了三个分析域,网格为0.1°x 0.1°、0.5°x 0.5°和1°x 1°。我们研究了计算近瞬时DSD参数的可能性,因此使用了三个短时间间隔,即1分钟、5分钟和10分钟。结果表明,雷击次数与DSD参数没有充分的相关性。这在所有时间间隔和分析域中都可以观察到。因此,对于DSD的短时间间隔(接近瞬时DSD),不可能使用闪电数据来计算DSD参数。然而,根据先前研究的建议,闪电数据可以估计平均时间超过一小时的平均DSD参数。
Estimation of Raindrop Size Distribution Parameters Using Lightning Data over West Sumatra
In situ observations of raindrop size distributions (DSDs) are still limited, especially in the tropics. Therefore, this study develops an alternative method to calculate DSD parameters by utilizing lightning data from the World-Wide Lightning Location Network (WWLLN) observation. DSD data was obtained from Parsivel's observations in the equatorial regions of Indonesia, i.e., Kototabang (100.32◦E, 0.20◦S, 865 m above mean sea level/ASL), Padang (100.46°E, 0.915°S, 200 m ASL), and Sicincin (100.30°E, 0.546°S, 134 m ASL). A gamma distribution parameterized the DSD. Three analysis domains were examined, with a grid of 0.1° x 0.1°, 0.5° x 0.5°, and 1° x 1°. We examined the possibility to calculate the near-instantaneous DSD parameter, so three short time intervals, namely, one, five and ten minutes, were used. The results showed that the number of lightning strokes does not adequately correlate with DSD parameters. This is observed in all time intervals and analysis domains. Thus, the use of lightning data to calculate DSD parameters is not possible for short time interval of DSD (near instantaneous DSD). However, lightning data can estimate the average DSD parameters for an average time of more than one hour, as recommended by previous studies.