日本地球惑星科学連合2016年大会

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インターナショナルセッション(口頭発表)

セッション記号 A (大気水圏科学) » A-AS 大気科学・気象学・大気環境

[A-AS02] High performance computing of next generation weather, climate, and environmental sciences using K

2016年5月23日(月) 09:00 〜 10:30 102 (1F)

コンビーナ:*佐藤 正樹(東京大学大気海洋研究所)、木本 昌秀(東京大学大気海洋研究所)、斉藤 和雄(気象研究所予報研究部)、瀬古 弘(気象研究所)、三好 建正(理化学研究所計算科学研究機構)、田村 哲郎(東京工業大学大学院総合理工学研究科)、新野 宏(東京大学大気海洋研究所海洋物理学部門海洋大気力学分野)、滝川 雅之(独立行政法人海洋研究開発機構)、富田 浩文(理化学研究所計算科学研究機構)、小玉 知央(独立行政法人海洋研究開発機構)、座長:滝川 雅之(独立行政法人海洋研究開発機構)

10:15 〜 10:30

[AAS02-18] Current status of subseasonal simulations using ocean coupled NICAM (NICOCO)

*宮川 知己1 (1.東京大学大気海洋研究所)

キーワード:NICAM, Ocean coupled model, global nonhydrostatic model

NICAM has demonstrated its potential as an atmospheric model in producing realistic MJOs in terms of eastward propagation speed and spatial precipitation patterns (Miura et al. 2007, Miyakawa et al. 2014). Ocean-surface boundary conditions for NICAM had been either prescribed SSTs or mixed-layer 1D ocean model in these studies. Recently we developed a coupler that connects the Icosahedral grid-system of NICAM with a Tri-polar grid system applied in an ocean model COCO, which has been used extensively as the ocean component of MIROC. The ultimate target of the ocean coupling is to enable long-term climate predictions, which require additional effort for adjustment and verification along with a large amount of computational resource. However in the short term, we seek to utilize the ocean coupled NICAM (NICOCO) to improve sub-seasonal to seasonal predictions, and deepen our understandings in the interactions between MJO and ocean. The pilot study of NICOCO includes the evaluation of ocean coupling impacts on 1) interaction between MJO and ENSO, 2) interactions between MJO and oceanic waves and/or through flows in the Maritime continent warm pool regions, and 3) Australian monsoon onset. Model features and preliminary results will be introduced.
References:
Miura,H., Satoh, M., Nasuno, T., Noda, A.T., Oouchi, K. (2007): A Madden-Julian Oscillation event realistically simulated by a global cloud-resolving model. Science, 318, 1763-1765.
Miyakawa, T., Satoh, M., Miura, H., Tomita, H., Yashiro, H., Noda, A. T., Yamada, Y., Kodama, C., Kimoto, M., Yoneyama, K., 2014: Madden-Julian Oscillation prediction skill of a new-generation global model. Nature Commun., 5, 3769. doi:10.1038/ncomms4769.