日本地球惑星科学連合2021年大会

講演情報

[J] 口頭発表

セッション記号 M (領域外・複数領域) » M-IS ジョイント

[M-IS13] 火山噴煙・積乱雲のモデリングと観測

2021年6月6日(日) 09:00 〜 10:30 Ch.25 (Zoom会場25)

コンビーナ:佐藤 英一(気象研究所)、前野 深(東京大学地震研究所)、前坂 剛(防災科学技術研究所)、座長:佐藤 英一(気象研究所)

09:15 〜 09:30

[MIS13-02] PUFF Model Prediction of Volcanic Ash Plume Dispersal for Sakurajima Using MP Radar Observation

*田中 博1、中道 治久2、井口 正人2 (1.筑波大学計算科学研究センター、2.京都大学防災研究所附属火山活動研究センター)

キーワード:PUFF model、tracking model、MP radar

In this study, a real-time volcanic ash plume prediction by the PUFF system was applied to the Sakurajima volcano (which erupted at 17:24 Japan Standard Time (JST) on 8 November, 2019), using the direct observation of the multi-parameter (MP) radar data installed at the Sakurajima Volcano Research Center. The MP radar showed a plume height of 5500 m a.s.l. around the volcano. The height was higher than the 4000 m by the PUFF system, but was lower than the observational report of 6500 m by the Japan Meteorological Agency in Kagoshima. In this study, ash particles by the MP radar observation were assimilated to the running PUFF system operated by the real-time emission rate and plume height, since the radar provides accurate plume height. According to the simulation results, the model prediction has been improved in the shape of the ash cloud with accurate plume top by the new MP radar observation. The plume top is corrected from 4000 m to 5500 m a.s.l., and the three-dimensional (3D) ash dispersal agrees with the observation. It was demonstrated by this study that the direct observation of MP radar obviously improved the model prediction, and enhanced the reliability of the prediction model.