[M-IS19] Atmospheric electricity and application of technology for reducing disaster risks

[MIS19-P04] Relationship between heavy rain, meteorological parameters, and total lightning

*Keita Murata¹, Yasuhide Hobara^1,2,3, Hiroshi Kikuchi², Hiroto Ouchi¹, Jeff Lapierre⁴ (1.Graduate School of Information and Engineering Department of Communication Engineering and Informatics, The University of Electro-Communications, 2.Center for Space Science and Radio Engineering, The University of Electro-Communications, 1-5-1 Chofugaoka, Chofu, Tokyo 1828585, Japan,, 3.Research Center for Realizing Sustainable Societies, The University of Electro-Communications, 1-5-1 Chofugaoka, Chofu, Tokyo 1828585, Japan,, 4.Earth Networks, USA)

Keywords:Line-shaped precipitation bands, Total lightning

Line-shaped precipitation bands often cause extensive damage, such as large-scale flooding, inundation damage, and sediment disasters. It is predicted that the number of occurrences of line-shaped precipitation bands will increase in the future, and improving the accuracy of their occurrence prediction is an urgent issue for reducing disaster damage.Although the detailed occurrence mechanism of line-shaped precipitation bands has not yet been elucidated, many previous observation cases have suggested that the atmospheric stratification state, wind and water vapor in the upper atmosphere are important meteorological parameters for their occurrence. It has been recently reported that there is a strong correlation between precipitation and lightning frequency in convective cells that cause heavy rain. In Japan, the frequency of In-Cloud lightning (IC) increases significantly 5 to 10 minutes before Precipitation Volume (PV) on the ground (Mondal et al., 2021). In this study, we investigate the spatiotemporal relationship between meteorological parameters, lightning activity, and heavy rain (including linear precipitation bands) in detail using ground precipitation data obtained from the X-band Precipitation Radar (XRAIN) operated by the Ministry of Land, Infrastructure, Transport and Tourism (MLIT), meteorological parameter data from the ERA5 data set, and total lightning data obtained from the Japan Total Lightning Network (JTLN) for several cases of heavy rain events in Japan.