Japan Geoscience Union Meeting 2023

Presentation information

[J] Online Poster

A (Atmospheric and Hydrospheric Sciences ) » A-AS Atmospheric Sciences, Meteorology & Atmospheric Environment

[A-AS10] Extreme weathers and disasters in urban environments in East Asia, related to climate c hange

Mon. May 22, 2023 10:45 AM - 12:15 PM Online Poster Zoom Room (3) (Online Poster)

convener:Masaru Inatsu(Faculty of Science, Hokkaido University), Hiroyuki Kusaka(University of Tsukuba), Tetsuya Takemi(Disaster Prevention Research Institute, Kyoto University), Yukari Takayabu(Atmosphere and Ocean Research Institute, the University of Tokyo)

On-site poster schedule(2023/5/21 17:15-18:45)

10:45 AM - 12:15 PM

[AAS10-P04] Assessing the potential impact due to the sea surface temperature changes on the heavy rainfall event in July, 2018

Koto Sugimoto1, *Kazuyo Yamaji1 (1.Kobe University)

Keywords:WRF model simulation, sea surface temperature, heavy rain event in July, 2018

The record-breaking heavy rain event in July, 2018 brought about continuing to supply the warm and the moist air-masses over Japan due to the Typhoon No.7 along with a stationary Mei-Yu front, which resulted as severe disasters especially in Weston Japan. This study assessed the impacts due to changes in the sea surface temperature(SST) on the warm and moist air-mass supply over Japan brought about the Typhoon and the Mei-Yu fronts by using a hemispheric scale meteorological model, WRF. We performed a control simulation (CTL) driven by an SST reanalysis dataset, GHRSST, without a meteorological reanalysis dataset, by using the reproductive experiment constrained by a meteorological reanalysis dataset, NCEP/FNL for the rain event as an initial condition. The SST sensitivity experiments employed five patterns of SST, which differed -2K, -1K, -0.5K, +0.5K, +1K, and +2K to the CTL SST. Increased SSTs enhanced the supply of the warm and the moist air-mass in the Mid-latitude atmospheric boundary layer. On the other hand, we could not find any clear linear relationship between SST changes and precipitation amounts.