日本地球惑星科学連合2023年大会

講演情報

[E] 口頭発表

セッション記号 A (大気水圏科学) » A-AS 大気科学・気象学・大気環境

[A-AS04] 台風研究の新展開~過去・現在・未来

2023年5月23日(火) 10:45 〜 12:00 103 (幕張メッセ国際会議場)

コンビーナ:辻野 智紀(気象研究所)、金田 幸恵(名古屋大学宇宙地球環境研究所)、伊藤 耕介(琉球大学)、宮本 佳明(慶應義塾大学 環境情報学部)、座長:辻野 智紀(気象研究所)、金田 幸恵(名古屋大学宇宙地球環境研究所)

11:15 〜 11:30

[AAS04-08] High-resolution 1000-member Ensemble Simulations of Typhoon Hagibis (2019)

*呉 品穎1川畑 拓矢2Le Duc3 (1.一般財団法人気象業務支援センター、2.気象研究所、3.東京大学)

キーワード:アンサンブルシミュレーション、確率予測

Ensemble simulations are widely used for dealing with uncertainty in weather forecasts, but the estimates using ensemble simulations would suffer from sampling errors with an insufficient ensemble size. Recently, benefiting from the improvement of computing power, conducting large-size ensemble simulations has become possible. This study investigated the feasibility of flow-dependent probability predictions of strong winds using 1000-member ensembles during the strike of typhoons. The 1000-member ensemble simulations of typhoon Hagibis (2019) are performed using the non-hydrostatic model (NHM) of the Japan Meteorological Agency (JMA) with 5- and 1-km horizontal grid spacing. The results suggest the benefits of producing probability forecasts of winds using ensemble simulations, which provide additional information to the warning of strong winds announced by JMA. In addition, high probabilities of strong winds are estimated along rivers and basins with the 1-km ensemble, while the same feature is not seen with the 5-km one. To make best use of the ensemble on estimating strong wind probability prediction over the land, we further re-centered the 1-km ensemble to a higher resolution simulation with 200-m grid spacing, which provides a better agreement of wind speed with observations. Beside the strong wind predictions, we also explored the non-Gaussian distribution of the wind fields and the impact of boundary conditions for constructing ensemble simulations.