Japan Geoscience Union Meeting 2019

Presentation information

[J] Oral

M (Multidisciplinary and Interdisciplinary) » M-IS Intersection

[M-IS27] Atmospheric electricity: Applications toward natural disaster mitigation

Tue. May 28, 2019 9:00 AM - 10:30 AM 202 (2F)

convener:Yasuhide Hobara(Graduate School of Information and Engineering Department of Communication Engineering and Informatics, The University of Electro-Communications), Masashi Kamogawa(Department of Physics, Tokyo Gakugei University), Chairperson:Takeshi Morimoto

9:45 AM - 10:00 AM

[MIS27-04] Estimating rainfall in heavy rain events using lightning data in Japan

*Ogawa Tetsuya1, Yasuhide Hobara1, Hiroyuki IWASAKI2, Stan Heckman3, Michael Stock3 (1.University of Electro-Communications, 2.Gunma University, 3.EarthNetworks)

Keywords:lightning, Total lightning, severe weather

In this study, we examined the relationship between total lightning (TL) and heavy rainfall in high spatio-time resolution by using 37 severe thunderstorms in Japan. TL is continuously monitored by the Japanese Total Lightning Network (JTLN) deployed by UEC and operated jointly by UEC and EarthNetworks, whilst high spatio-temporal precipitation data is obtained by eXtended Rader Information Network (XRAIN) operated by Ministry of Land, Infrastructure, Transport and Tourism in Japan. As a result, positive linear relation with rather high cross correlation (r2 ~ 0.54 between TL and Precipitation Volume (PV) [m3] has been obtained. The cross correlation between TL and PV is much higher than that for cloud-to-ground lightning (CG) and PV. Although the slope of linear relation (TL vs. PV) varies depending on heavy rain events, TL can be promising tool to estimate severe rainfall.