JpGU-AGU Joint Meeting 2020

Presentation information

[E] Oral

M (Multidisciplinary and Interdisciplinary) » M-SD Space Development & Earth Observation from Space

[M-SD46] Effects of lightning, severe weather and tropical storms

convener:Mitsuteru Sato(Department of Cosmoscience, Hokkaido University), Yoav Yair(Interdisciplinary Center Herzliya), Xiushu Qie(Institute of Atmospheric Physics, Chinese Academy of Sciences), Yukihiro Takahashi(Department of Cosmosciences, Graduate School of Science, Hokkaido University)

[MSD46-09] Estimation of relationship between tropical cyclone intensity and electrical properties of lightning

*Shunsuke Niwa1, Mitsuteru Sato1, Yukihiro Takahashi1, Hisayuki Kubota1 (1.Department of Cosmoscience, Hokkaido University)

Keywords:Typhoon, Lightning, ELF, CMC, intensity forcast

Tropical cyclone (TC) causes serious damage to human society every year. For reduction of its risk, TC forecast is important. TC track forecast is improving year by year but intensity forecast is not improving. Prediction of TC intensity is a big problem. Lightning is an good indicator of updraft intensity and TC is intensified by strong updraft. Thus lightning can be use to monitoring TC intensity. Previous studies suggested that lightning activity in TC can be a predictor of TC intensity. All previous studies used only frequency as an indicator of lightning activity. Electrical properties (EP) of lightning should be also related to updraft intensity, so using EP will help us to get more understand the relationship between TC intensity and lightning activity. Using ELF (1-100 Hz) magnetic field, we can estimate EP such as Peak current, Charge moment change and Charge amount. In this study, World Wide Lightning Location Network (WWLLN) and Global ELF Observation Network (GEON) were used to analyze lightning activity and the relationship between maximum sustained wind and EP in 4 TCs over the North Western Pacific Ocean in 2013. By comparison the relationship between each EP and TC intensity, it was found that Charge amount was the most likely to be a predictor of TC intensity. In this presentation, we will show result of this analysis more in detail.