Japan Geoscience Union Meeting 2025

Presentation information

[E] Oral

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

[A-CG43] Multi-scale ocean-atmosphere interaction in the tropics

Wed. May 28, 2025 1:45 PM - 3:15 PM Exhibition Hall Special Setting (6) (Exhibition Hall 7&8, Makuhari Messe)

convener:Yukiko Imada(Atmosphere and Ocean Research Institute, the University of Tokyo), Ayako Seiki(Japan Agency for Marine-Earth Science and Technology), Takanori Horii(Japan Agency for Marine-Earth Science and Technology), Youichi Kamae(Faculty of Life and Environmental Sciences, University of Tsukuba), Chairperson:Ayako Seiki(Japan Agency for Marine-Earth Science and Technology), Youichi Kamae(Faculty of Life and Environmental Sciences, University of Tsukuba)

2:45 PM - 3:00 PM

[ACG43-05] Southward shift of westerly anomalies around El Niño decay related to high-frequency variabilities

*Tao Lian1, Jie Wang1, Dake Chen1, Chunzai Wang2, Xiang Han1 (1.Second Institute of Oceanography, MNR, China, 2.South China Sea Institute of Oceanology, Guangzhou, China)

Keywords:El Niño, tropical cyclones, Madden Julian Oscillation

The southward shift of anomalous westerlies from the equator to the south off-equatorial areas plays a curtail role in demising El Niño, and was attributed to seasonal changes in the large-scale environments in previous studies. Given that the southward shift exhibits a distinct spectral peak at the sub-seasonal timescale, we propose that it could also be caused by the seasonal meridional movement of high-frequency variabilities in the western tropical Pacific, such as the tropical cyclones (TCs) and Madden Julian Oscillation (MJO). It is found that the TCs and MJOs contribute to approximately 39% and 20% of the southward shift from October in El Niño years to the following March, respectively, both of which are significant at the 95% confidence level. Our findings supplement dynamics regarding to El Niño decay, and imply the necessity of improving seasonal forecast of high-frequency variabilities for a better prediction of El Niño.