Japan Geoscience Union Meeting 2021

Presentation information

[E] Oral

A (Atmospheric and Hydrospheric Sciences ) » A-OS Ocean Sciences & Ocean Environment

[A-OS10] Continental Oceanic Mutual Interaction - Planetary Scale Material Circulationn

Thu. Jun 3, 2021 9:00 AM - 10:30 AM Ch.11 (Zoom Room 11)

convener:Alexandre Yosuke Yamashiki(Earth & Planetary Water Resources Assessment Laboratory Graduate School of Advanced Integrated Studies in Human Survivability Kyoto University), Yukio Masumoto(Graduate School of Science, The University of Tokyo), Takanori Sasaki(Department of Astronomy, Kyoto University), Swadhin Behera(Application Laboratory, JAMSTEC, 3173-25 Showa-machi, Yokohama 236-0001), Chairperson:Yukio Masumoto(Graduate School of Science, The University of Tokyo), Swadhin Behera(Application Laboratory, JAMSTEC, 3173-25 Showa-machi, Yokohama 236-0001)

9:00 AM - 9:15 AM

[AOS10-01] Wintertime impacts of the 2019 Super Indian Ocean Dipole on East Asia

★Invited Papers

*Takeshi Doi1, Swadhin Behera1, Toshio Yamagata1,2 (1.JAMSTEC/VAiG/APL, 2.NUITS/ICAR)

Keywords:Seasaonal prediction, Indian Ocean Dipole Mode, Large ensemble numarical prediction

The Indian Ocean Dipole (IOD) is an intrinsic ocean-atmosphere coupled climate phenomenon in the tropical Indian Ocean with warm (cold) sea surface temperature anomalies with enhanced (reduced) rainfall in the western (eastern) tropical Indian Ocean during a positive phase. A strong and long-lasting positive IOD event occurred in 2019, which caused climate-related disasters in countries not only around the Indian Ocean but also East Asia, including Japan. For example, many parts of Australia were seriously affected by a series of massive bushfires owing to the drier than normal conditions, while crop yield in East Africa was threatened by a plague of locusts owing to the wetter condition there. Japan experienced extremely warm conditions during the 2019-2020 winter. In this study, the wintertime impacts on East Asia is the focus. These were successfully predicted in October of 2019 by the 108-member ensemble numerical seasonal prediction system based on a dynamical climate model "SINTEX-F". Successful prediction of the teleconnection of such a super event may contribute to reducing the risks of socioeconomic losses under suitable measures for adaptation and mitigation.