日本地球惑星科学連合2019年大会

講演情報

[J] ポスター発表

セッション記号 A (大気水圏科学) » A-CG 大気海洋・環境科学複合領域・一般

[A-CG38] 熱帯インド洋・太平洋におけるマルチスケール大気海洋相互作用

2019年5月28日(火) 17:15 〜 18:30 ポスター会場 (幕張メッセ国際展示場 8ホール)

コンビーナ:清木 亜矢子(海洋研究開発機構)、東塚 知己(東京大学大学院理学系研究科地球惑星科学専攻)、名倉 元樹((独) 海洋研究開発機構)、釜江 陽一(筑波大学生命環境系)

[ACG38-P03] 北太平洋海面水温変動によるENSOの駆動とそのメカニズム

*小坂 優1Dillon Amaya2Wenyu Zhou2Yu Zhang2Shang-Ping Xie2Arthur Miller2 (1.東京大学先端科学技術研究センター、2.カリフォルニア大学スクリプス海洋研究所)

キーワード:太平洋南北モード、ENSO、ペースメーカー実験

Recent studies have indicated that North Pacific sea surface temperature (SST) variability can significantly modulate the evolution of the El Niño-Southern Oscillation (ENSO), but there has been little effort to put these extratropical-tropical interactions into the context of historical ENSO events. To quantify the role of the North Pacific in pacing the timing and magnitude of observed ENSO events, we use a fully-coupled climate model to produce the first ensemble of North Pacific Ocean-Global Atmosphere (nPOGA) SST pacemaker simulations. In nPOGA, SST anomalies in the North Pacific (>15°N) are restored back to observations, but are free to evolve throughout the rest of the globe. We find that North Pacific SST variability has significantly influenced the observed trajectory of historical ENSO, accounting for approximately 15% of the total variance in boreal fall and winter. The interaction between the North and tropical Pacific is the result of two physical pathways: 1. A Wind-Evaporation-SST propagating mechanism in boreal spring, and 2. A convective response associated with the Seasonal Footprinting Mechanism in boreal fall. The latter accounts for 25% of the observed zonal wind variability around the equatorial dateline. On an event-by-event basis, nPOGA most closely reproduces the 2014-2015 and the 2015-2016 El Niño events. In particular, we show that the 2015 Pacific Meridional Mode event increased wind forcing along the equator by 20%, potentially contributing to the extreme nature of the 2015-2016 El Niño. Our results illustrate the significant role of extratropical noise in pacing the initiation and magnitude of ENSO events and may improve the predictability of ENSO on seasonal timescales.