Japan Geoscience Union Meeting 2024

Presentation information

[E] Poster

A (Atmospheric and Hydrospheric Sciences ) » A-CG Complex & General

[A-CG31] Climate Variability and Predictability on Subseasonal to Centennial Timescales

Mon. May 27, 2024 5:15 PM - 6:45 PM Poster Hall (Exhibition Hall 6, Makuhari Messe)

convener:Hiroyuki Murakami(Geophysical Fluid Dynamics Laboratory), Yushi Morioka(Japan Agency for Marine-Earth Science and Technology), Takahito Kataoka, Xiaosong Yang(NOAA Geophysical Fluid Dynamics Laboratory)

5:15 PM - 6:45 PM

[ACG31-P09] Robust future projections of global spatial distribution of major tropical cyclones and sea level pressure gradients

*Hiroyuki Murakami1, Cooke F William1, Ryo Mizuta2, Hirokazu Endo2, Kohei Yoshida2, Shuai Wang3, Pang-Chi Hsu4 (1.Geophysical Fluid Dynamics Laboratory, 2.Meteorological Research Institute, 3.Univeristy of Delaware, 4.Nanjing University of Information Science and Technology)

Keywords:Global warming, Major tropical cyclones, Climate modeling, Sea level pressure gradient, Wildfires

Despite the profound societal impacts of intense tropical cyclones (TCs), prediction of future changes in their regional occurrence remains challenging owing to climate model limitations and to the infrequent occurrence of such TCs. This study revealed robust projected changes in the frequency of occurrence of major TCs (i.e., maximum sustained wind speed: >50 m s-1) on the regional scale. Two independent high-resolution climate models robustly projected the spatial patterns of change in major TC occurrence—increase in the central Pacific and reduction in the Southern Hemisphere—attributable to anthropogenically induced climate change. Furthermore, these models projected robust increase in events of abrupt rise in the meridional sea-level pressure gradient, especially in the central Pacific, indicating enhanced risk of storm hazards such as the 2023 wildfire on Maui Island caused by Hurricane Dora. Future changes in the frequency of abrupt rise in the sea level pressure gradient are strongly related to projected changes in the regional frequency of occurrence of major TCs. This research highlights the possibility of future heterogeneous variation in the global occurrence of major TC disasters depending on region.