日本地球惑星科学連合2025年大会

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[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-AS08] 湿潤大気の多様な現象

2025年5月28日(水) 09:00 〜 10:30 展示場特設会場 (6) (幕張メッセ国際展示場 7・8ホール)

コンビーナ:三浦 裕亮(国立大学法人 東京大学大学院 理学系研究科 地球惑星科学専攻)、高須賀 大輔(東北大学大学院理学研究科)、濱田 篤(富山大学)、横井 覚(海洋研究開発機構)、座長:横井 覚(海洋研究開発機構)、三浦 裕亮(国立大学法人 東京大学大学院 理学系研究科 地球惑星科学専攻)

09:00 〜 09:15

[AAS08-01] Environmental conditions and drop size distribution observed in eastern Japan

*鵜沼 昂1 (1.気象庁 気象研究所)

キーワード:環境条件、粒形分布、二重偏波気象レーダー

Drop size distribution (DSD) is an essential property for characterizing precipitation processes that can sometimes lead to more intense rainfall in different climate regions. In previous studies, remote sensing instruments like vertically pointing radars and/or wind profilers obtained a stationary distribution with a breakup signature. However, these observations do not explain how the underlying microphysical processes within convective clouds that generate more rain occur and how environmental conditions affect these processes.
This study, with its novel approach, aims to statistically investigate DSD’s characteristics within convective clouds using data from a ground-based optical disdrometer and a C-band polarimetric weather radar in eastern Japan. Convective clouds were extracted using a cell-tracking algorithm and operational C-band polarimetric weather radar data, and their environmental conditions were characterized by using upper-air sounding data.
The signals of coalescence and accretion are likely to occur at 2–4 km height within the convective clouds. In comparison, the signals of breakup and autoconversion are likely to occur below 2 km height. These microphysical characteristics are found to be related to environmental parameters. Specifically, larger drop sizes are associated with higher instability, while a higher number concentration is linked to higher water vapor conditions. These factors influence the precipitation intensity regarding the DSD parameters when a DSD approaches a stationary distribution on the ground. The findings of this study indicate that the DSD approaching a stationary distribution can be identified even from the DSD parameters retrieved from the C-band polarimetric radar variables and provide valuable insights for predicting and understanding intense rainfall events.