Japan Geoscience Union Meeting 2025

Presentation information

[J] Poster

M (Multidisciplinary and Interdisciplinary) » M-TT Technology & Techniques

[M-TT38] Multi sensing of extreme phenomena

Wed. May 28, 2025 5:15 PM - 7:15 PM Poster Hall (Exhibition Hall 7&8, Makuhari Messe)

convener:Hirohiko Nakamura(Faculty of Fisheries, Kagoshima University), Haruhisa Nakamichi(Disaster Prevention Research Institute, Kyoto University), Takeshi Maesaka(National Research Institute for Earth Science and Disaster Resilience), Masayuki Maki(Disaster Prevention Research Institute, Kyoto University)

5:15 PM - 7:15 PM

[MTT38-P01] Marine radar observation of mesoscale convective system in the baiu frontal zone over the sea area west of Kyushu

*Hirohiko Nakamura1, Takaaki Nishi2,1, Ayako Nishina1, Yuji Sumoto1, Masayuki Maki2 (1.Faculty of Fisheries, Kagoshima University, 2.DPRI, Kyoto University)

Keywords:Marine radar, Baiu rainband, Mesoscale convective system, Kuroshio, Himawari-8 cloud image

Recent studies indicated that the Kuroshio warm water strongly affects the Baiu rainband over the Kuroshio area in the East China Sea. Following this fact, a campaign observing both atmosphere and ocean environments over the Kuroshio area had been carried out using the training vessels of Nagasaki, Kagoshima and Mie Universities during 18-20 June 2022. This study shows observational results from the marine radars onboard the Kagoshima-maru, which could characterize the initiation, development and decay stages for the mesoscale convective system. We describe some band-shaped heavy rainfall areas (the Senjo-kousuitai) with the formation processes of the back building type, broken line type, and their combined type, which are likely to be related to the sea surface temperature distribution around the Kuroshio front. Comparing satellite cloud images obtained by Himawari-8 during the campaign observation period, we suggest that the reflectivity from clouds, detected by the marine radar, has a potential ability to clarify types of cloud and the presence of rainfalls in the low-level atmosphere that are unclear from satellite cloud images.